Philip S. Yu - RankMe

2626 papers A* 452A 255B 113C 23Misc 13Journal 1374Unranked 338

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Federated Adaptive Large Language Model Fine-Tuning Framework for Software Development. IEEE Trans. Serv. Comput. Jianguo Chen, Zeju Cai, Wenqing Chen, Weicheng Wang, Zibin Zheng, Philip S. Yu
2026	J	`jnl`	A Gravity-Informed Spatiotemporal Transformer for Human Activity Intensity Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Yi Wang, Zhenghong Wang, Fan Zhang, Chaogui Kang, Sijie Ruan, Di Zhu, Chengling Tang, Zhongfu Ma, Weiyu Zhang, Yu Zheng, Philip S. Yu, Yu Liu
2026	J	`jnl`	A Riemannian perspective on graph foundation models: curvature as a guiding principle. Frontiers Comput. Sci. Li Sun, Philip S. Yu
2026	J	`jnl`	A Survey of AIOps in the Era of Large Language Models. ACM Comput. Surv. Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li
2026	J	`jnl`	A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges. IEEE Trans. Pattern Anal. Mach. Intell. Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Philip S. Yu, Ming Zhang
2026	J	`jnl`	A prompt-aware knowledge-tuning framework for histopathology subtype classification with scarce annotation. Neural Networks Bo Yu, Jiuman Song, Lele Cong, Xianling Cong, Jouke Dijkstra, Philip S. Yu, Hechang Chen
2026	J	`jnl`	Actor-Curator: Co-adaptive Curriculum Learning via Policy-Improvement Bandits for RL Post-Training. CoRR Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Henry Peng Zou, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue
2026	J	`jnl`	Adaptive and Robust DBSCAN With Multi-Agent Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hao Peng, Xiang Huang, Shuo Sun, Ruitong Zhang, Xizhao Wang, Philip S. Yu
2026	A*	`conf`	AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents. WWW Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip S. Yu, Karthik Subbian, Danai Koutra
2026	J	`jnl`	Autoencoder-based contrastive learning for next basket recommendation. Neural Networks Ling Huang, Zhe-Yuan Li, Xiao-Dong Huang, Yuefang Gao, Chang-Dong Wang, Philip S. Yu
2026	J	`jnl`	BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization. CoRR Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long
2026	J	`jnl`	Beyond embedding-mapping: Social network alignment via generative information fusion and LLM-guided iterative mechanism. Inf. Fusion Jibing Gong, Jiquan Peng, Wei Wang, Wei Zhou, Chaozhuo Li, Philip S. Yu
2026	—	`conf`	CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity. KDD (1) Kaiwen Xia, Li Lin, Qi Zhang, Xinrui Zhang, Shuai Wang, Xuming Hu, Philip S. Yu
2026	A*	`conf`	Can Multimodal LLMs Perform Time Series Anomaly Detection? WWW Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2026	J	`jnl`	CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding. CoRR Jiahao Huo, Yu Huang, Yibo Yan, Ye Pan, Yi Cao, Mingdong Ou, Philip S. Yu, Xuming Hu
2026	J	`jnl`	Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding. CoRR Yinghui Li, Jiayi Kuang, Peng Xing, Daixian Liu, Junnan Dong, Shu-Yu Guo, Yangning Li, Qingyu Zhou, Wenhao Jiang, Hai-Tao Zheng, Ying Shen, Liang Lin, Philip S. Yu
2026	J	`jnl`	Collaborative Coarse-to-Fine Disease Learning With Discharge Summary Awareness for EHR Event Prediction. IEEE Trans. Cybern. Yan Kang, Zhuolun Li, Bin Pu, Xingbo Dong, Jiewen Yang, Lei Zhao, Benteng Ma, Ningshu Li, Jianguo Chen, Philip S. Yu
2026	J	`jnl`	Community-aware multi-granularity contrastive learning for graph anomaly detection. Expert Syst. Appl. Panpan Meng, Chenxu Wang, Shihao Wang, Kay Liu, Yankai Chen, Zhanggong Wang, Philip S. Yu
2026	J	`jnl`	DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise. CoRR Yusheng Zhao, Jiaye Xie, Qixin Zhang, Weizhi Zhang, Xiao Luo, Zhiping Xiao, Philip S. Yu, Ming Zhang
2026	—	`ed.`	Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part II DASFAA (2) Feida Zhu, Philip S. Yu, Akiyo Nadamoto, Ee-Peng Lim, Kyuseok Shim, Wei Ding, Bingxue Zhang
2026	—	`ed.`	Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part III DASFAA (3) Feida Zhu, Philip S. Yu, Akiyo Nadamoto, Ee-Peng Lim, Kyuseok Shim, Wei Ding, Bingxue Zhang
2026	—	`ed.`	Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part V DASFAA (5) Feida Zhu, Philip S. Yu, Akiyo Nadamoto, Ee-Peng Li, Kyuseok Shim, Wei Ding, Bingxue Zhang
2026	—	`ed.`	Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part VI DASFAA (6) Feida Zhu, Philip S. Yu, Akiyo Nadamoto, Ee-Peng Lim, Kyuseok Shim, Wei Ding, Bingxue Zhang
2026	—	`conf`	Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. KDD (1) Longzhu He, Chaozhuo Li, Peng Tang, Li Sun, Sen Su, Philip S. Yu
2026	J	`jnl`	Discovering High-utility Sequential Rules with Increasing Utility Ratio. CoRR Zhenqiang Ye, Wensheng Gan, Gengsen Huang, Tianlong Gu, Philip S. Yu
2026	J	`jnl`	Discovering new intents via spatio-temporal pseudo-label denoising. Inf. Process. Manag. Yiting Huang, Yu-Ming Shang, Wei Huang, Sanchuan Guo, Jinhu Chen, Xi Zhang, Philip S. Yu
2026	A*	`conf`	Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy. WWW Qitong Liu, Hao Peng, Zuchen Li, Xihang Meng, Ziyu Yang, Jiting Li, Li Sun, Philip S. Yu
2026	J	`jnl`	Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy. CoRR Qitong Liu, Hao Peng, Zuchen Li, Xihang Meng, Ziyu Yang, Jiting Li, Li Sun, Philip S. Yu
2026	J	`jnl`	Enhanced Pre-training for Recommendation via Hypergraph Structural Entropy. ACM Trans. Inf. Syst. Jingyun Zhang, Hao Peng, Mingdai Yang, Philip S. Yu
2026	J	`jnl`	Enhancing Temporal Awareness in LLMs for Temporal Point Processes. CoRR Lili Chen, Wensheng Gan, Shuang Liang, Philip S. Yu
2026	J	`jnl`	Enhancing signed graph neural networks through curriculum-based training. Neural Networks Zeyu Zhang, Lu Li, Xingyu Ji, Kaiqi Zhao, Xiaofeng Zhu, Philip S. Yu, Jiawei Li, Maojun Wang
2026	J	`jnl`	EpochX: Building the Infrastructure for an Emergent Agent Civilization. CoRR Huacan Wang, Chaofa Yuan, Xialie Zhuang, Tu Hu, Shuo Zhang, Jun Han, Shi Wei, Daiqiang Li, Jingping Liu, Kunyi Wang, Zihan Yin, Zhenheng Tang, Andy Wang, Henry Peng Zou, Philip S. Yu, Sen Hu, Qizhen Lan, Ronghao Chen
2026	J	`jnl`	Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments. IEEE Trans. Pattern Anal. Mach. Intell. Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2026	J	`jnl`	FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning. CoRR Yujie Feng, Hao Wang, Jian Li, Xu Chu, Zhaolu Kang, Yiran Liu, Yasha Wang, Philip S. Yu, Xiao-Ming Wu
2026	J	`jnl`	From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection. CoRR Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Philip S. Yu, Shirui Pan
2026	J	`jnl`	From Observations to States: Latent Time Series Forecasting. CoRR Jie Yang, Yifan Hu, Yuante Li, Kexin Zhang, Kaize Ding, Philip S. Yu
2026	J	`jnl`	GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance. CoRR Zhixiao Wang, Chaofan Zhu, Qihan Feng, Jian Zhang, Xiaobin Rui, Philip S. Yu
2026	J	`jnl`	Guided Exploration of Sequential Rules. CoRR Wensheng Gan, Gengsen Huang, Junyu Ren, Philip S. Yu
2026	A*	`conf`	Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger. WWW Li Sun, Ming Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu
2026	J	`jnl`	Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger. CoRR Li Sun, Min Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu
2026	J	`jnl`	High-utility Sequential Rule Mining Utilizing Segmentation Guided by Confidence. CoRR Chunkai Zhang, Jiarui Deng, Maohua Lyu, Wensheng Gan, Philip S. Yu
2026	A*	`conf`	Hyperbolic Continuous Structural Entropy for Hierarchical Clustering. AAAI Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu
2026	J	`jnl`	Imbalanced Semi-Supervised Learning for WiFi Gesture Recognition via Dynamic Threshold-Based Spatio-Temporal Attention Networks. IEEE Trans. Mob. Comput. Qihua Feng, Chunhui Duan, Jiawei Xue, Chaozhuo Li, Feiran Huang, Xi Zhang, Jian Weng, Philip S. Yu
2026	J	`jnl`	Improving Question Embeddings With Cognitive Representation Optimization for Knowledge Tracing. IEEE Trans. Cybern. Lixiang Xu, Xianwei Ding, Xin Yuan, Zhanlong Wang, Lu Bai, Enhong Chen, Philip S. Yu, Yuanyan Tang
2026	J	`jnl`	Knowledge-Aware Clustering. IEEE Trans. Syst. Man Cybern. Syst. Man-Sheng Chen, Li-An Ren, Wu-Dong Xi, Chang-Dong Wang, Philip S. Yu
2026	J	`jnl`	LLM-Based Data Augmentation Method in Reinforcement Learning With Machine-Unlearning and Fine-Tuning. IEEE Trans. Big Data Yunjiao Lei, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2026	J	`jnl`	Large language models meet NLP: a survey. Frontiers Comput. Sci. Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu
2026	A*	`conf`	Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection. AAAI Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu
2026	J	`jnl`	Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection. CoRR Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu
2026	J	`jnl`	MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization. CoRR Weizhi Zhang, Xiaokai Wei, Wei-Chieh Huang, Zheng Hui, Chen Wang, Michelle Gong, Philip S. Yu
2026	—	`conf`	Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling. KDD (1) Jizhou Guo, Zhaomin Wu, Hanchen Yang, Philip S. Yu
2026	J	`jnl`	Mixture of experts (MoE): A big data perspective. Inf. Fusion Wensheng Gan, Zhenyao Ning, Zhenlian Qi, Philip S. Yu
2026	J	`jnl`	Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models. CoRR Li Sun, Zhenhao Huang, Silei Chen, Lanxu Yang, Junda Ye, Sen Su, Philip S. Yu
2026	J	`jnl`	Multimodal named entity recognition in the era of large pre-trained models: A comprehensive survey. Inf. Fusion Mingying Xu, Fei Hou, Jie Liu, Mengmei Zhang, Lei Shi, Feifei Kou, Lei Guo, Philip S. Yu, Xuming Hu
2026	J	`jnl`	NanoNet: Parameter-Efficient Learning with Label-Scarce Supervision for Lightweight Text Mining Model. CoRR Qianren Mao, Yashuo Luo, Ziqi Qin, Junnan Liu, Weifeng Jiang, Zhijun Chen, Zhuoran Li, Likang Xiao, Chuou Xu, Qili Zhang, Hanwen Hao, Jingzheng Li, Chunghua Lin, Jianxin Li, Philip S. Yu
2026	J	`jnl`	Network Measure-Enriched GNNs: A New Framework for Power Grid Stability Prediction. IEEE Trans. Knowl. Data Eng. Junyou Zhu, Christian Nauck, Michael Lindner, Langzhou He, Philip S. Yu, Klaus-Robert Müller, Jürgen Kurths, Frank Hellmann
2026	J	`jnl`	OKG-LLM: Aligning Ocean Knowledge Graph With Observation Data via LLMs for Global Sea Surface Temperature Prediction. IEEE Trans. Knowl. Data Eng. Hanchen Yang, Jiaqi Wang, Jiannong Cao, Wengen Li, Jialun Zheng, Yangning Li, Chunyu Miao, Jihong Guan, Shuigeng Zhou, Philip S. Yu
2026	J	`jnl`	Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation. CoRR Bowei He, Yankai Chen, Xiaokun Zhang, Linghe Kong, Philip S. Yu, Xue Liu, Chen Ma
2026	J	`jnl`	Pure node selection for imbalanced graph node classification. Neural Networks Fanlong Zeng, Wensheng Gan, Jiayang Wu, Philip S. Yu
2026	J	`jnl`	Rethinking Graph Contrastive Learning for Heterophilic Graphs: An Effective Method for Heterophilic GCL Methods With Regularization and Stabilization Techniques Enhanced High-Pass Filter. IEEE Trans. Knowl. Data Eng. Han Chen, Yuhua Li, Yixiong Zou, Keke Huang, Rui Zhang, Ruixuan Li, Philip S. Yu
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2026	J	`jnl`	RiemannGL: Riemannian Geometry Changes Graph Deep Learning. CoRR Li Sun, Qiqi Wan, Suyang Zhou, Zhenhao Huang, Philip S. Yu
2026	J	`jnl`	Riemannian Geometry Speaks Louder Than Words: From Graph Foundation Model to Next-Generation Graph Intelligence. CoRR Philip S. Yu, Li Sun
2026	A*	`conf`	S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. AAAI Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma
2026	J	`jnl`	TangramPuzzle: Evaluating Multimodal Large Language Models with Compositional Spatial Reasoning. CoRR Daixian Liu, Jiayi Kuang, Yinghui Li, Yangning Li, Di Yin, Haoyu Cao, Xing Sun, Ying Shen, Hai-Tao Zheng, Liang Lin, Philip S. Yu
2026	J	`jnl`	Targeted Mining of Time-Interval Related Patterns. IEEE Trans. Neural Networks Learn. Syst. Shuang Liang, Lili Chen, Wensheng Gan, Philip S. Yu, Shengjie Zhao
2026	J	`jnl`	The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies. CoRR Chenxu Wang, Chaozhuo Li, Songyang Liu, Zejian Chen, Jinyu Hou, Ji Qi, Rui Li, Litian Zhang, Qiwei Ye, Zheng Liu, Xu Chen, Xi Zhang, Philip S. Yu
2026	J	`jnl`	The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies. ACM Comput. Surv. Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu
2026	J	`jnl`	The Necessity of a Unified Framework for LLM-Based Agent Evaluation. CoRR Pengyu Zhu, Li Sun, Philip S. Yu, Sen Su
2026	J	`jnl`	UPER: Efficient Utility-driven Partially-ordered Episode Rule Mining. CoRR Hong Lin, Wensheng Gan, Junyu Ren, Philip S. Yu
2026	J	`jnl`	Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey. ACM Comput. Surv. Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Dayong Ye, Wanlei Zhou, Philip S. Yu
2026	J	`jnl`	Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval. CoRR Yibo Yan, Jiahao Huo, Guanbo Feng, Mingdong Ou, Yi Cao, Xin Zou, Shuliang Liu, Yuanhuiyi Lyu, Yue Huang, Jungang Li, Kening Zheng, Xu Zheng, Philip S. Yu, James Kwok, Xuming Hu
2026	J	`jnl`	Utility-Based Privacy-Preserving Data Mining. IEEE Internet Things J. Qingfeng Zhou, Wensheng Gan, Zhenlian Qi, Philip S. Yu
2026	J	`jnl`	Watermarking techniques for large language models: a survey. Artif. Intell. Rev. Yuqing Liang, Jiancheng Xiao, Wensheng Gan, Philip S. Yu
2025	J	`jnl`	A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy. CoRR Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Chunyu Miao, Dongyuan Li, Aiwei Liu, Yue Zhou, Yankai Chen, Weizhi Zhang, Yangning Li, Liancheng Fang, Renhe Jiang, Philip S. Yu
2025	J	`jnl`	A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu
2025	J	`jnl`	A Flexible Diffusion Convolution for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Songwei Zhao, Bo Yu, Kang Yang, Sinuo Zhang, Jifeng Hu, Yuan Jiang, Philip S. Yu, Hechang Chen
2025	J	`jnl`	A General Concave Fairness Framework for Influence Maximization Based on Poverty Reward. ACM Trans. Knowl. Discov. Data Zhixiao Wang, Jiayu Zhao, Chengcheng Sun, Xiaobin Rui, Philip S. Yu
2025	J	`jnl`	A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction. CoRR Yi Wang, Zhenghong Wang, Fan Zhang, Chengling Tang, Chaogui Kang, Di Zhu, Zhongfu Ma, Sijie Ruan, Weiyu Zhang, Yu Zheng, Philip S. Yu, Yu Liu
2025	J	`jnl`	A Parameter-Efficient Federated Framework for Streaming Time Series Anomaly Detection via Lightweight Adaptation. IEEE Trans. Mob. Comput. Hao Miao, Ronghui Xu, Yan Zhao, Senzhang Wang, Jianxin Wang, Philip S. Yu, Christian S. Jensen
2025	J	`jnl`	A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao
2025	J	`jnl`	A Scalable Algorithm for Fair Influence Maximization With Unbiased Estimator. IEEE Trans. Knowl. Data Eng. Xiaobin Rui, Zhixiao Wang, Hao Peng, Wei Chen, Philip S. Yu
2025	J	`jnl`	A Survey of AI-Generated Content (AIGC). ACM Comput. Surv. Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
2025	J	`jnl`	A Survey of AIOps in the Era of Large Language Models. CoRR Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li
2025	—	`conf`	A Survey of RAG-Reasoning Systems in Large Language Models. EMNLP (Findings) Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu
2025	J	`jnl`	A Survey of Text Watermarking in the Era of Large Language Models. ACM Comput. Surv. Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu
2025	—	`conf`	A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. KDD (2) Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li
2025	J	`jnl`	A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. CoRR Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li
2025	J	`jnl`	A Survey on Large Language Model based Human-Agent Systems. CoRR Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Xue Liu, Philip S. Yu
2025	J	`jnl`	A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models. CoRR Lingzhe Zhang, Liancheng Fang, Chiming Duan, Minghua He, Leyi Pan, Pei Xiao, Shiyu Huang, Yunpeng Zhai, Xuming Hu, Philip S. Yu, Aiwei Liu
2025	J	`jnl`	A Survey on Post-training of Large Language Models. CoRR Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao
2025	J	`jnl`	A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models. ACM Comput. Surv. Haopeng Zhang, Philip S. Yu, Jiawei Zhang
2025	J	`jnl`	A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT. Int. J. Mach. Learn. Cybern. Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
2025	J	`jnl`	A survey of multilingual large language models. Patterns Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu
2025	J	`jnl`	A survey on machine unlearning: Techniques and new emerged privacy risks. J. Inf. Secur. Appl. Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu
2025	J	`jnl`	ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training. CoRR Jiayang Wu, Wensheng Gan, Jiahao Zhang, Philip S. Yu
2025	J	`jnl`	ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training. ACM Trans. Asian Low Resour. Lang. Inf. Process. Jiayang Wu, Wensheng Gan, Jiahao Zhang, Philip S. Yu
2025	J	`jnl`	AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. IEEE Trans. Knowl. Data Eng. Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025	A*	`conf`	AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). ICDE Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025	B	`conf`	AI-Driven Log Analysis: Advances and Challenges. IEEE Big Data Yongheng Wang, Wensheng Gan, Philip S. Yu
2025	J	`jnl`	AI-Generated Content in Landscape Architecture: A Survey. CoRR Yue Xing, Wensheng Gan, Qidi Chen, Philip S. Yu
2025	J	`jnl`	AI-generated content in landscape architecture: A survey. AI Open Yue Xing, Wensheng Gan, Qidi Chen, Philip S. Yu
2025	J	`jnl`	Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning. CoRR Hao Peng, Xiang Huang, Shuo Sun, Ruitong Zhang, Philip S. Yu
2025	J	`jnl`	AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees. CoRR Yangning Li, Shaoshen Chen, Yinghui Li, Yankai Chen, Hai-Tao Zheng, Hui Wang, Wenhao Jiang, Philip S. Yu
2025	J	`jnl`	AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning. CoRR Zhenyu Pan, Yiting Zhang, Zhuo Liu, Yolo Yunlong Tang, Zeliang Zhang, Haozheng Luo, Yuwei Han, Jianshu Zhang, Dennis Wu, Hong-Yu Chen, Haoran Lu, Haoyang Fang, Manling Li, Chenliang Xu, Philip S. Yu, Han Liu
2025	J	`jnl`	Advances in Large Language Models for Medicine. CoRR Zhiyu Kan, Wensheng Gan, Zhenlian Qi, Philip S. Yu
2025	J	`jnl`	AgentDR Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents. CoRR Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip S. Yu, Karthik Subbian, Danai Koutra
2025	J	`jnl`	Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities. CoRR Jiayi Kuang, Haojing Huang, Yinghui Li, Xinnian Liang, Zhikun Xu, Yangning Li, Xiaoyu Tan, Chao Qu, Meishan Zhang, Ying Shen, Philip S. Yu
2025	J	`jnl`	Automating Personalization: Prompt Optimization for Recommendation Reranking. CoRR Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu
2025	A*	`conf`	BANGS: Game-theoretic Node Selection for Graph Self-Training. ICLR Fangxin Wang, Kay Liu, Sourav Medya, Philip S. Yu
2025	A*	`conf`	Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent. ICLR Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu
2025	—	`conf`	Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks. EMNLP (Findings) Tzu-Ling Lin, Wei-Chih Chen, Teng-Fang Hsiao, Hou-I Liu, Ya-Hsin Yeh, Yu Kai Chan, Wen-Sheng Lien, Po-Yen Kuo, Philip S. Yu, Hong-Han Shuai
2025	J	`jnl`	Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks. CoRR Tzu-Ling Lin, Wei-Chih Chen, Teng-Fang Hsiao, Hou-I Liu, Ya-Hsin Yeh, Yu Kai Chan, Wen-Sheng Lien, Po-Yen Kuo, Philip S. Yu, Hong-Han Shuai
2025	—	`conf`	Breeding-aware Revenue Maximization for NFT Viral Marketing on Social Networks. KDD (2) Ya-Wen Teng, De-Nian Yang, Yishuo Shi, Guang-Siang Lee, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2025	—	`conf`	Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? ACL (1) Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2025	J	`jnl`	Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? CoRR Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2025	J	`jnl`	Can Large Language Models Serve as Evaluators for Code Summarization? IEEE Trans. Software Eng. Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Hai Jin, Philip S. Yu
2025	J	`jnl`	Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization. CoRR Langzhou He, Junyou Zhu, Fangxin Wang, Junhua Liu, Haoyan Xu, Yue Zhao, Philip S. Yu, Qitian Wu
2025	J	`jnl`	Can Multimodal LLMs Perform Time Series Anomaly Detection? CoRR Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2025	A*	`conf`	Can Watermarked LLMs be Identified by Users via Crafted Prompts? ICLR Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu
2025	B	`conf`	Cluster-Aware Item Prompt Learning for Session-Based Recommendation. IEEE Big Data Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu
2025	J	`jnl`	Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. CoRR Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu
2025	J	`jnl`	Cold-Start Recommendation with Knowledge-Guided Retrieval-Augmented Generation. CoRR Wooseong Yang, Weizhi Zhang, Yuqing Liu, Yuwei Han, Yu Wang, Junhyun Lee, Philip S. Yu
2025	A*	`conf`	Community Detection in Large-Scale Complex Networks via Structural Entropy Game. WWW Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu
2025	J	`jnl`	Community Detection in Large-Scale Complex Networks via Structural Entropy Game. CoRR Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu
2025	B	`conf`	Confidence-Aware Fine-Tuning of Sequential Recommendation Systems Via Conformal Prediction. IEEE Big Data Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Philip S. Yu
2025	J	`jnl`	Contrastive learning for anomaly detection in hierarchical subgraph. Knowl. Based Syst. Jiayang Wu, Wensheng Gan, Jiahao Zhang, Philip S. Yu
2025	A	`conf`	Counterfactual-Augmented Representation Learning based Event Prediction. ICME Cheng Hu, Fangfang Yuan, Cong Cao, Pu Li, Guangjie Zeng, Yanbing Liu, Hao Peng, Philip S. Yu
2025	J	`jnl`	DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. CoRR Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen, Philip S. Yu
2025	J	`jnl`	Deep Clustering: A Comprehensive Survey. IEEE Trans. Neural Networks Learn. Syst. Yazhou Ren, Jingyu Pu, Zhimeng Yang, Jie Xu, Guofeng Li, Xiaorong Pu, Philip S. Yu, Lifang He
2025	J	`jnl`	DeepResearchGuard: Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety. CoRR Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Renhe Jiang, Philip S. Yu
2025	J	`jnl`	Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models. CoRR Li Sun, Zhenhao Huang, Ming Zhang, Philip S. Yu
2025	J	`jnl`	Detecting Hallucinations in Graph Retrieval-Augmented Generation via Attention Patterns and Semantic Alignment. CoRR Shanghao Li, Jinda Han, Yibo Wang, Yuanjie Zhu, Zihe Song, Langzhou He, Kenan Kamel A Alghythee, Philip S. Yu
2025	A*	`conf`	Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation. ICDM Yue Wang, Dehang Fu, Jie Tan, Junxiao Han, Yao Wan, Lixin Cui, Lu Bai, Philip S. Yu
2025	J	`jnl`	Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. CoRR Longzhu He, Chaozhuo Li, Peng Tang, Lichao Sun, Sen Su, Philip S. Yu
2025	A	`conf`	Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. CIKM Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. CoRR Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu
2025	A*	`conf`	DiffPuter: Empowering Diffusion Models for Missing Data Imputation. ICLR Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu
2025	J	`jnl`	Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction. IEEE Trans. Knowl. Data Eng. Zhangtao Cheng, Yang Liu, Ting Zhong, Kunpeng Zhang, Fan Zhou, Philip S. Yu
2025	J	`jnl`	Distilling Fair Representations From Fair Teachers. IEEE Trans. Big Data Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2025	J	`jnl`	Distributed Multi-Head Learning Systems for Power Consumption Prediction. CoRR Jia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu
2025	J	`jnl`	Distributed training of large language models: A survey. Nat. Lang. Process. J. Fanlong Zeng, Wensheng Gan, Yongheng Wang, Philip S. Yu
2025	J	`jnl`	Diversified recommendation with weighted hypergraph embedding: Case study in music. Neurocomputing Chaoguang Luo, Liuying Wen, Yong Qin, Philip S. Yu, Liangwei Yang, Zhineng Hu
2025	J	`jnl`	Dual-level semantic collaboration and inference network for medical image report generation. Knowl. Based Syst. Junsan Zhang, Yuxue Liu, Mingwen Shao, Chenglizhao Chen, Zixuan Wang, Junliang Li, Yao Wan, Philip S. Yu
2025	J	`jnl`	DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning. CoRR Qingyun Sun, Jiaqi Yuan, Shan He, Xiao Guan, Haonan Yuan, Xingcheng Fu, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs. CoRR Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025	J	`jnl`	EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios. IEEE Trans. Knowl. Data Eng. Songwei Zhao, Bo Yu, Sinuo Zhang, Zhejian Yang, Jifeng Hu, Philip S. Yu, Hechang Chen
2025	J	`jnl`	Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation. IEEE Trans. Knowl. Data Eng. Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Senzhang Wang, Philip S. Yu, Chaozhuo Li
2025	J	`jnl`	Effective Index Construction Algorithm for Optimal (k,η)-cores Computation. CoRR Shengli Sun, Peng Xu, Guanming Jiang, Philip S. Yu, Yi Li
2025	J	`jnl`	Efficient Mining of Low-Utility Sequential Patterns. CoRR Jian Zhu, Zhidong Lin, Wensheng Gan, Ruichu Cai, Zhifeng Hao, Philip S. Yu
2025	J	`jnl`	Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies. CoRR Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Xue Liu, Philip S. Yu
2025	A*	`conf`	Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. EMNLP Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. CoRR Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	End-to-end privacy-preserving image retrieval in cloud computing via anti-perturbation attentive token-aware vision transformer. Inf. Fusion Qihua Feng, ZhiXun Lu, Chaozhuo Li, Feiran Huang, Jian Weng, Philip S. Yu
2025	J	`jnl`	Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement. Trans. Mach. Learn. Res. Wenjing Chang, Kay Liu, Philip S. Yu, Jianjun Yu
2025	—	`conf`	Ephemeral Social Networking: Connecting People from Offline to Online. HCI (61) Alvin Chin, Kevin Leicht, Philip S. Yu, Diego Gómez-Zará
2025	A*	`conf`	Equilibrium-Based NFT Marketplace Recommendation for NFTs with Breeding. ICDM Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2025	J	`jnl`	Event Extraction in Large Language Model. CoRR Bobo Li, Xudong Han, Jiang Liu, Yuzhe Ding, Liqiang Jing, Zhaoqi Zhang, Jinheng Li, Xinya Du, Fei Li, Meishan Zhang, Min Zhang, Aixin Sun, Philip S. Yu, Hao Fei
2025	J	`jnl`	Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety. CoRR Zhenyu Pan, Yiting Zhang, Yutong Zhang, Jianshu Zhang, Haozheng Luo, Yuwei Han, Dennis Wu, Hong-Yu Chen, Philip S. Yu, Manling Li, Han Liu
2025	J	`jnl`	Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments. CoRR Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025	A*	`conf`	FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract). ICDE Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen
2025	J	`jnl`	FairReason: Balancing Reasoning and Social Bias in MLLMs. CoRR Zhenyu Pan, Yutong Zhang, Jianshu Zhang, Haoran Lu, Haozheng Luo, Yuwei Han, Philip S. Yu, Manling Li, Han Liu
2025	J	`jnl`	Feature Selection and Grouping Effect Analysis for Credit Evaluation via Regularized Diagonal Distance Metric Learning. INFORMS J. Comput. Tie Li, Gang Kou, Yi Peng, Philip S. Yu
2025	J	`jnl`	Fine-Tuning a Biased Model for Improving Fairness. IEEE Trans. Big Data Huiqiang Chen, Tianqing Zhu, Bo Liu, Wanlei Zhou, Philip S. Yu
2025	J	`jnl`	From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited. IEEE Trans. Neural Networks Learn. Syst. Zheng Wang, Hongming Ding, Li Pan, Jianhua Li, Zhiguo Gong, Philip S. Yu
2025	J	`jnl`	From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. CoRR Weizhi Zhang, Yangning Li, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Wei-Chieh Huang, Chunyu Miao, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Yankai Chen, Chunkit Chan, Peilin Zhou, Xinyang Zhang, Chenwei Zhang, Jingbo Shang, Ming Zhang, Yangqiu Song, Irwin King, Philip S. Yu
2025	A	`conf`	Frontiers in Graph Machine Learning for the Large Model Era. CIKM Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Yangqiu Song, Jianxin Li, Philip S. Yu
2025	J	`jnl`	GL-BKGNN: Graphlet-based Bi-Kernel Interpretable Graph Neural Networks. Inf. Fusion Lixiang Xu, Kang Jiang, Xin Niu, Enhong Chen, Bin Luo, Philip S. Yu
2025	J	`jnl`	GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model. CoRR Haoyan Xu, Zhengtao Yao, Xuzhi Zhang, Ziyi Wang, Langzhou He, Yushun Dong, Philip S. Yu, Mengyuan Li, Yue Zhao
2025	J	`jnl`	GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning. CoRR Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025	A*	`conf`	GeoEdit: Geometric Knowledge Editing for Large Language Models. EMNLP Yujie Feng, Li-Ming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu
2025	J	`jnl`	GeoEdit: Geometric Knowledge Editing for Large Language Models. CoRR Yujie Feng, Liming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu
2025	J	`jnl`	Global-focal Adaptation with Information Separation for Noise-robust Transfer Fault Diagnosis. CoRR Junyu Ren, Wensheng Gan, Guangyu Zhang, Wei Zhong, Philip S. Yu
2025	J	`jnl`	Glocal Information Bottleneck for Time Series Imputation. CoRR Jie Yang, Kexin Zhang, Guibin Zhang, Philip S. Yu, Kaize Ding
2025	J	`jnl`	Graph Attention-based Adaptive Transfer Learning for Link Prediction. CoRR Huashen Lu, Wensheng Gan, Guoting Chen, Zhichao Huang, Philip S. Yu
2025	J	`jnl`	Graph Contrastive Learning on Multi-label Classification for Recommendations. CoRR Jiayang Wu, Wensheng Gan, Huashen Lu, Philip S. Yu
2025	J	`jnl`	Graph Contrastive Learning on Multi-label Classification for Recommendations. ACM Trans. Intell. Syst. Technol. Jiayang Wu, Wensheng Gan, Huashen Lu, Philip S. Yu
2025	J	`jnl`	Graph Diffusion Network for Drug-Gene Prediction. CoRR Jiayang Wu, Wensheng Gan, Philip S. Yu
2025	J	`jnl`	Graph Foundation Models: Concepts, Opportunities and Challenges. IEEE Trans. Pattern Anal. Mach. Intell. Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
2025	—	`conf`	Graph Neural Controlled Differential Equations For Collaborative Filtering. WWW (Companion Volume) Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	Graph Neural Controlled Differential Equations For Collaborative Filtering. CoRR Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	Graph neural architecture search with large language models. Sci. China Inf. Sci. Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Jiajun Bu, Philip S. Yu
2025	—	`conf`	Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. WWW (Companion Volume) Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2025	J	`jnl`	GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning. CoRR Fanlong Zeng, Wensheng Gan, Philip S. Yu
2025	J	`jnl`	Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities. CoRR Yuanchen Bei, Weizhi Zhang, Siwen Wang, Weizhi Chen, Sheng Zhou, Hao Chen, Yong Li, Jiajun Bu, Shirui Pan, Yizhou Yu, Irwin King, Fakhri Karray, Philip S. Yu
2025	A*	`conf`	HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). ICDE Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2025	J	`jnl`	Harnessing Multiple Large Language Models: A Survey on LLM Ensemble. CoRR Zhijun Chen, Jingzheng Li, Pengpeng Chen, Zhuoran Li, Kai Sun, Yuankai Luo, Qianren Mao, Dingqi Yang, Hailong Sun, Philip S. Yu
2025	J	`jnl`	Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data Hao Yan, Senzhang Wang, Chaozhuo Li, Jun Yin, Philip S. Yu, Jianxin Wang
2025	J	`jnl`	Hierarchical Abstracting Graph Kernel. IEEE Trans. Knowl. Data Eng. Runze Yang, Hao Peng, Angsheng Li, Peng Li, Chunyang Liu, Philip S. Yu
2025	A	`conf`	Hierarchical Superpixel Segmentation via Structural Information Theory. SDM Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu
2025	J	`jnl`	Hierarchical Superpixel Segmentation via Structural Information Theory. CoRR Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu
2025	J	`jnl`	Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing. IEEE Trans. Knowl. Data Eng. Qitong Liu, Hao Peng, Xiang Huang, Zhifeng Hao, Qingyun Sun, Zhengtao Yu, Philip S. Yu
2025	A*	`conf`	How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. ICML Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Hyperbolic Continuous Structural Entropy for Hierarchical Clustering. CoRR Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu
2025	A*	`conf`	IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. ICLR Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing. CoRR Lixiang Xu, Xianwei Ding, Xin Yuan, Zhanlong Wang, Lu Bai, Enhong Chen, Philip S. Yu, Yuanyan Tang
2025	J	`jnl`	Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. IEEE Trans. Knowl. Data Eng. Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu
2025	B	`conf`	Improving Social Connections Through Mobile Social Networks. COMPSAC Alvin Chin, Justin Chan, Joshua Garcia, Aria Barve, Kevin Leicht, Philip S. Yu
2025	A	`conf`	InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CIKM Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang
2025	J	`jnl`	Introduction to the Special Issue on Knowledge Transferring for Recommender Systems. Trans. Recomm. Syst. Zhiwei Liu, Hao Peng, Caiming Xiong, Julian J. McAuley, Philip S. Yu
2025	J	`jnl`	IsoSEL: Isometric Structural Entropy Learning for Deep Graph Clustering in Hyperbolic Space. CoRR Li Sun, Zhenhao Huang, Yujie Wang, Hongbo Lv, Chunyang Liu, Hao Peng, Philip S. Yu
2025	A	`conf`	Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings. CIKM Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang
2025	—	`conf`	Judge Anything: MLLM as a Judge Across Any Modality. KDD (2) Shu Pu, Yaochen Wang, Dongping Chen, Yuhang Chen, Guohao Wang, Qi Qin, Zhongyi Zhang, Zhiyuan Zhang, Zetong Zhou, Shuang Gong, Yi Gui, Yao Wan, Philip S. Yu
2025	J	`jnl`	Judge Anything: MLLM as a Judge Across Any Modality. CoRR Shu Pu, Yaochen Wang, Dongping Chen, Yuhang Chen, Guohao Wang, Qi Qin, Zhongyi Zhang, Zhiyuan Zhang, Zetong Zhou, Shuang Gong, Yi Gui, Yao Wan, Philip S. Yu
2025	J	`jnl`	Knowledge Distillation in Federated Learning: A Survey on Long Lasting Challenges and New Solutions. Int. J. Intell. Syst. Laiqiao Qin, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2025	J	`jnl`	Knowledge-Aware Graph Prompt Tuning for Cross-Domain Recommendation. IEEE Trans. Comput. Soc. Syst. Xiao-Dong Huang, Ling Huang, Yuefang Gao, Zhe-Yuan Li, Pei-Yuan Lai, Chang-Dong Wang, Philip S. Yu
2025	J	`jnl`	Knowledge-Reinforced Cross-Domain Recommendation. IEEE Trans. Neural Networks Learn. Syst. Ling Huang, Dong Huang, Han Zou, Yuefang Gao, Chang-Dong Wang, Philip S. Yu
2025	J	`jnl`	Knowledge-aware multimodal pre-training for fake news detection. Inf. Fusion Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Philip S. Yu, Chaozhuo Li
2025	J	`jnl`	LEGO-Learn: Label-Efficient Graph Open-Set Learning. Trans. Mach. Learn. Res. Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Mengyuan Li, Kaize Ding, Yue Zhao
2025	A*	`conf`	LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction. WWW Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu
2025	—	`conf`	LLM Agents for Education: Advances and Applications. EMNLP (Findings) Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	LLM Agents for Education: Advances and Applications. CoRR Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering. CoRR Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Zihe Song, Jindong Wang, Philip S. Yu
2025	—	`conf`	LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. EMNLP (Industry Track) Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu
2025	J	`jnl`	LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu
2025	J	`jnl`	LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation. IEEE Trans. Inf. Forensics Secur. Zhi Li, Chaozhuo Li, Feiran Huang, Xi Zhang, Jian Weng, Philip S. Yu
2025	J	`jnl`	Large Language Model Agent: A Survey on Methodology, Applications and Challenges. CoRR Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang
2025	A	`conf`	Large Language Model Simulator for Cold-Start Recommendation. WSDM Feiran Huang, Yuanchen Bei, Zhenghang Yang, Junyi Jiang, Hao Chen, Qijie Shen, Senzhang Wang, Fakhri Karray, Philip S. Yu
2025	B	`conf`	Large Language Models for Bioinformatics: Applications and Challenges. IEEE Big Data Wenxi Zhu, Wensheng Gan, Zhenlian Qi, Philip S. Yu
2025	J	`jnl`	Large Language Models for Education: A survey and outlook. IEEE Signal Process. Mag. Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
2025	B	`conf`	Large Language Models for Fault Diagnosis. IEEE Big Data Zhenlian Qi, Junyu Ren, Wensheng Gan, Philip S. Yu
2025	J	`jnl`	Large Language Models for Link Stealing Attacks Against Graph Neural Networks. IEEE Trans. Big Data Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu
2025	J	`jnl`	Large language models for medicine: a survey. Int. J. Mach. Learn. Cybern. Yanxin Zheng, Wensheng Gan, Zefeng Chen, Zhenlian Qi, Qian Liang, Philip S. Yu
2025	J	`jnl`	Learn to explain transformer via interpretation path by reinforcement learning. Neural Networks Runliang Niu, Qi Wang, He Kong, Qianli Xing, Yi Chang, Philip S. Yu
2025	J	`jnl`	Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection. CoRR Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Yibo Zhang, Zhenyu Guan, Chaozhuo Li, Philip S. Yu
2025	J	`jnl`	Linkage on security, privacy and fairness in federated learning: New balances and new perspectives. Neural Networks Linlin Wang, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2025	J	`jnl`	Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models. CoRR Chaozhuo Li, Pengbo Wang, Chenxu Wang, Litian Zhang, Zheng Liu, Qiwei Ye, Yuanbo Xu, Feiran Huang, Xi Zhang, Philip S. Yu
2025	J	`jnl`	MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning. CoRR Yusheng Zhao, Xiao Luo, Weizhi Zhang, Wei Ju, Zhiping Xiao, Philip S. Yu, Ming Zhang
2025	J	`jnl`	MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection. CoRR Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip S. Yu
2025	J	`jnl`	MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models. CoRR Leyi Pan, Sheng Guan, Zheyu Fu, Luyang Si, Zian Wang, Xuming Hu, Irwin King, Philip S. Yu, Aiwei Liu, Lijie Wen
2025	—	`conf`	MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. ACL (6) Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025	J	`jnl`	MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. CoRR Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025	J	`jnl`	Meta Recommendation With Robustness Improvement. IEEE Trans. Knowl. Data Eng. Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie, Philip S. Yu
2025	J	`jnl`	Mining high utility contrast patterns in sequences. Knowl. Inf. Syst. Chunkai Zhang, Yao Lu, Yuting Yang, Ryan Han-Yuan Zhang, Wensheng Gan, Philip S. Yu
2025	J	`jnl`	Mixture of Experts (MoE): A Big Data Perspective. CoRR Wensheng Gan, Zhenyao Ning, Zhenlian Qi, Philip S. Yu
2025	—	`conf`	Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions. EMNLP (Findings) Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu
2025	J	`jnl`	Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances. CoRR Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Liancheng Fang, Zhen Wang, Philip S. Yu
2025	J	`jnl`	Multi-Grade Revenue Maximization for Promotional and Competitive Viral Marketing in Social Networks. IEEE Trans. Knowl. Data Eng. Ya-Wen Teng, Yishuo Shi, De-Nian Yang, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen
2025	J	`jnl`	Multi-Level Knowledge Distillation with Positional Encoding Enhancement. Pattern Recognit. Lixiang Xu, Zhiwen Wang, Lu Bai, Shengwei Ji, Bing Ai, Xiaofeng Wang, Philip S. Yu
2025	B	`conf`	Multi-View Incongruity Learning for Multimodal Sarcasm Detection. COLING Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu
2025	J	`jnl`	Multi-head learning models for power consumption prediction of unmanned ground vehicles. Inf. Fusion Jia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu
2025	J	`jnl`	Multi-modal Robustness Fake News Detection with Cross-Modal and Propagation Network Contrastive Learning. Knowl. Based Syst. Han Chen, Hairong Wang, Zhipeng Liu, Yuhua Li, Yifan Hu, Yujing Zhang, Kai Shu, Ruixuan Li, Philip S. Yu
2025	J	`jnl`	MultiFair: Model Fairness With Multiple Sensitive Attributes. IEEE Trans. Neural Networks Learn. Syst. Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2025	—	`conf`	Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. EMNLP (Findings) Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025	J	`jnl`	Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. CoRR Yusheng Zhao, Junyu Luo, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025	J	`jnl`	OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction. CoRR Hanchen Yang, Jiaqi Wang, Jiannong Cao, Wengen Li, Jialun Zheng, Yangning Li, Chunyu Miao, Jihong Guan, Shuigeng Zhou, Philip S. Yu
2025	J	`jnl`	On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025	A*	`conf`	One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. ICML Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu
2025	J	`jnl`	One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. CoRR Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu
2025	J	`jnl`	Online Learning for Noisy Labeled Streams. ACM Trans. Knowl. Discov. Data Jin-Jie Qiu, Shengda Zhuo, Philip S. Yu, Chang-Dong Wang, Shuqiang Huang
2025	A*	`conf`	Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint). IJCAI Zhilin Zhao, Longbing Cao, Philip S. Yu
2025	J	`jnl`	Out-of-distribution detection by regaining lost clues. Artif. Intell. Zhilin Zhao, Longbing Cao, Philip S. Yu
2025	J	`jnl`	Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. SIGKDD Explor. Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2025	J	`jnl`	PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents. CoRR Yaozu Wu, Jizhou Guo, Dongyuan Li, Henry Peng Zou, Wei-Chieh Huang, Yankai Chen, Zhen Wang, Weizhi Zhang, Yangning Li, Meng Zhang, Renhe Jiang, Philip S. Yu
2025	J	`jnl`	Paper2Web: Let's Make Your Paper Alive! CoRR Yuhang Chen, Tianpeng Lv, Siyi Zhang, Yixiang Yin, Yao Wan, Philip S. Yu, Dongping Chen
2025	J	`jnl`	PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time. CoRR Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li
2025	A*	`conf`	Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. AAAI Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu
2025	J	`jnl`	Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. CoRR Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu
2025	A*	`conf`	Position: LLMs Can be Good Tutors in English Education. EMNLP Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	Position: LLMs Can be Good Tutors in Foreign Language Education. CoRR Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning. CoRR Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen
2025	J	`jnl`	Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation. CoRR Qianren Mao, Qili Zhang, Hanwen Hao, Zhentao Han, Runhua Xu, Weifeng Jiang, Qi Hu, Zhijun Chen, Tyler Zhou, Bo Li, Yangqiu Song, Jin Dong, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Privacy-Preserving Image Retrieval in Cloud Computing via Adaptive Secret Keys and Self-Supervised Block-Augmented Pretraining. IEEE Trans. Serv. Comput. Qihua Feng, ZhiXun Lu, Litian Zhang, Chaozhuo Li, Feiran Huang, Jian Weng, Philip S. Yu
2025	J	`jnl`	Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents. CoRR Jiayi Kuang, Yinghui Li, Xin Zhang, Yangning Li, Di Yin, Xing Sun, Ying Shen, Philip S. Yu
2025	J	`jnl`	ProjectTest: A Project-level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms. CoRR Yibo Wang, Congying Xia, Wenting Zhao, Jiangshu Du, Chunyu Miao, Zhongfen Deng, Philip S. Yu, Chen Xing
2025	J	`jnl`	PromptSED: An evolving topic-enhanced prompting framework for incremental social event detection. Neural Networks Xiaoyan Yu, Jiaqian Ren, Lei Jiang, Hao Peng, Zhifeng Hao, Li Sun, Kun Peng, Liehuang Zhu, Philip S. Yu
2025	—	`conf`	Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages. NAACL (Long Papers) Hoang Nguyen, Khyati Mahajan, Vikas Yadav, Julian Salazar, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary
2025	—	`conf`	ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing. ACL (1) Xiuxuan Shen, Zhongyuan Jiang, Junsan Zhang, Junxiao Han, Yao Wan, Chengjie Guo, Bingcheng Liu, Jie Wu, Renxiang Li, Philip S. Yu
2025	J	`jnl`	Pure Node Selection for Imbalanced Graph Node Classification. CoRR Fanlong Zeng, Wensheng Gan, Jiayang Wu, Philip S. Yu
2025	—	`conf`	RAISE: Reinforced Adaptive Instruction Selection For Large Language Models. EMNLP (Findings) Qingsong Lv, Yangning Li, Zihua Lan, Zishan Xu, Jiwei Tang, Tingwei Lu, Yinghui Li, Wenhao Jiang, Hong-Gee Kim, Hai-Tao Zheng, Philip S. Yu
2025	J	`jnl`	RAISE: Reinforenced Adaptive Instruction Selection For Large Language Models. CoRR Qingsong Lv, Yangning Li, Zihua Lan, Zishan Xu, Jiwei Tang, Yinghui Li, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu
2025	J	`jnl`	RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback. CoRR Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang H. Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang, Zhengyao Gu, Yuwei Han, Langzhou He, Yuyao Yang, Yinghui Li, Hai-Tao Zheng, Xue Liu, Irwin King, Philip S. Yu
2025	J	`jnl`	Recommender Systems Meet Large Language Model Agents: A Survey. Found. Trends Priv. Secur. Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Weng, Philip S. Yu, Yongfeng Zhang
2025	—	`conf`	Recurrent Knowledge Identification and Fusion for Language Model Continual Learning. ACL (1) Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S. Yu, Xu Chu, Xiao-Ming Wu
2025	J	`jnl`	Recurrent Knowledge Identification and Fusion for Language Model Continual Learning. CoRR Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S. Yu, Xu Chu, Xiao-Ming Wu
2025	A*	`conf`	Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. ICLR Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu
2025	J	`jnl`	Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. CoRR Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu
2025	J	`jnl`	Reinforced GNNs for Multiple Instance Learning. IEEE Trans. Neural Networks Learn. Syst. Xusheng Zhao, Qiong Dai, Xu Bai, Jia Wu, Hao Peng, Huailiang Peng, Zhengtao Yu, Philip S. Yu
2025	J	`jnl`	Reinforcement Learning from Probabilistic Forecasts for Safe Decision-Making via Conditional Value-at-Risk Planning. CoRR Michal Koren, Or Peretz, Tai Dinh, Philip S. Yu
2025	J	`jnl`	Relational Prompt-Based Pre-Trained Language Models for Social Event Detection. ACM Trans. Inf. Syst. Pu Li, Xiaoyan Yu, Hao Peng, Yantuan Xian, Linqin Wang, Li Sun, Jingyun Zhang, Philip S. Yu
2025	—	`conf`	Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. ACL (6) Yinghui Li, Shang Qin, Jingheng Ye, Haojing Huang, Yangning Li, Shu-Yu Guo, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu
2025	J	`jnl`	Revisiting Multivariate Time Series Forecasting with Missing Values. CoRR Jie Yang, Yifan Hu, Kexin Zhang, Luyang Niu, Yushun Dong, Philip S. Yu, Kaize Ding
2025	J	`jnl`	Reward Inside the Model: A Lightweight Hidden-State Reward Model for LLM's Best-of-N sampling. CoRR Jizhou Guo, Zhaomin Wu, Philip S. Yu
2025	A*	`conf`	RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. WWW Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu
2025	J	`jnl`	RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. CoRR Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu
2025	J	`jnl`	RoBCtrl: Attacking GNN-Based Social Bot Detectors via Reinforced Manipulation of Bots Control Interaction. CoRR Yingguang Yang, Xianghua Zeng, Qi Wu, Hao Peng, Yutong Xia, Hao Liu, Bin Chong, Philip S. Yu
2025	J	`jnl`	Robust Graph Condensation via Classification Complexity Mitigation. CoRR Jiayi Luo, Qingyun Sun, Beining Yang, Haonan Yuan, Xingcheng Fu, Yanbiao Ma, Jianxin Li, Philip S. Yu
2025	J	`jnl`	S CoRR Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma
2025	A*	`conf`	SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning. ICML Junyou Zhu, Langzhou He, Chao Gao, Dongpeng Hou, Zhen Su, Philip S. Yu, Jürgen Kurths, Frank Hellmann
2025	A	`conf`	SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. RecSys Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	Scalable Semi-Supervised Clustering via Structural Entropy With Different Constraints. IEEE Trans. Knowl. Data Eng. Guangjie Zeng, Hao Peng, Angsheng Li, Jia Wu, Chunyang Liu, Philip S. Yu
2025	—	`conf`	ScaleFormer: Span Representation Cumulation for Long-Context Transformer. SIGIR-AP Jiangshu Du, Wenpeng Yin, Philip S. Yu
2025	J	`jnl`	ScaleFormer: Span Representation Cumulation for Long-Context Transformer. CoRR Jiangshu Du, Wenpeng Yin, Philip S. Yu
2025	J	`jnl`	SeSE: A Structural Information-Guided Uncertainty Quantification Framework for Hallucination Detection in LLMs. CoRR Xingtao Zhao, Hao Peng, Dingli Su, Xianghua Zeng, Chunyang Liu, Jinzhi Liao, Philip S. Yu
2025	J	`jnl`	Semi-Supervised In-Context Learning: A Baseline Study. CoRR Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu
2025	—	`conf`	SocialED: A Python Library for Social Event Detection. APWeb-WAIM (4) Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu
2025	A*	`conf`	Structural Entropy Guided Probabilistic Coding. AAAI Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu
2025	—	`conf`	Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection. ACL (Findings) Lingwei Wei, Dou Hu, Wei Zhou, Philip S. Yu, Songlin Hu
2025	A*	`conf`	T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. IJCAI Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. CoRR Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	T3MAL: Test-Time Fast Adaptation for Robust Multi-Scale Information Diffusion Prediction. CoRR Wenting Zhu, Chaozhuo Li, Qingpo Yang, Xi Zhang, Philip S. Yu
2025	—	`conf`	TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. ACL (Findings) Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu
2025	J	`jnl`	TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs. CoRR Kay Liu, Yuwei Han, Haoyan Xu, Henry Peng Zou, Yue Zhao, Philip S. Yu
2025	J	`jnl`	TALENT: Targeted Mining of Non-overlapping Sequential Patterns. ACM Trans. Manag. Inf. Syst. Zefeng Chen, Wensheng Gan, Gengsen Huang, Zhenlian Qi, Yan Li, Philip S. Yu
2025	—	`conf`	TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. PAKDD (2) Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu
2025	A*	`conf`	TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. ICLR Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao
2025	J	`jnl`	TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. CoRR Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu
2025	A*	`conf`	TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data. ICML Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu
2025	J	`jnl`	Targeted Mining Precise-Positioning Episode Rules. IEEE Trans. Emerg. Top. Comput. Intell. Jian Zhu, Xiaoye Chen, Wensheng Gan, Zefeng Chen, Philip S. Yu
2025	J	`jnl`	Targeted Mining of Time-Interval Related Patterns. CoRR Shuang Liang, Lili Chen, Wensheng Gan, Philip S. Yu, Shengjie Zhao
2025	B	`conf`	Taxonomy-Guided Zero-Shot Recommendations with LLMs. COLING Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2025	—	`conf`	Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. EMNLP (Findings) Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu
2025	J	`jnl`	Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. CoRR Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu
2025	—	`conf`	TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency. ACL (1) Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu
2025	J	`jnl`	TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency. CoRR Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu
2025	—	`conf`	The 14th International Workshop on Urban Computing. KDD (2) Yuxuan Liang, Yu Zheng, Chuishi Meng, Yanhua Li, Jieping Ye, Philip S. Yu, Ouri Wolfson
2025	—	`conf`	The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. WWW (Companion Volume) Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025	—	`conf`	The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking. KDD (2) Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025	J	`jnl`	The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs. CoRR Songyang Liu, Chaozhuo Li, Jiameng Qiu, Xi Zhang, Feiran Huang, Litian Zhang, Yiming Hei, Philip S. Yu
2025	J	`jnl`	Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives. IEEE Trans. Neural Networks Learn. Syst. Phu Pham, Quang-Thinh Bui, Ngoc Thanh Nguyen, Robert Kozma, Philip S. Yu, Bay Vo
2025	J	`jnl`	Topology-Aware Conformal Prediction for Stream Networks. CoRR Jifan Zhang, Fangxin Wang, Philip S. Yu, Kaize Ding, Shixiang Zhu
2025	J	`jnl`	Topology-Based Node-Level Membership Inference Attacks on Graph Neural Networks. IEEE Trans. Big Data Faqian Guan, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2025	J	`jnl`	Toward Targeted Mining of RFM Patterns. IEEE Trans. Neural Networks Learn. Syst. Xiaoye Chen, Wensheng Gan, Zefeng Chen, Jian Zhu, Ruichu Cai, Philip S. Yu
2025	—	`conf`	Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback. CogMI Weizhi Zhang, Wooseong Yang, Yuxin Cui, Zhaohui Guo, Hins Hu, Liangwei Yang, Henry Peng Zou, Qifei Wang, Hanqing Zeng, Jiayi Liu, Yinglong Xia, Philip S. Yu
2025	J	`jnl`	Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs. CoRR Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu
2025	A*	`conf`	Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space. AAAI Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu
2025	J	`jnl`	Towards Sequence Utility Maximization under Utility Occupancy Measure. ACM Trans. Knowl. Discov. Data Gengsen Huang, Wensheng Gan, Philip S. Yu
2025	J	`jnl`	Towards Target Sequential Rules. IEEE Trans. Knowl. Data Eng. Wensheng Gan, Gengsen Huang, Jian Weng, Tianlong Gu, Philip S. Yu
2025	J	`jnl`	Towards high-utility sequential rules with repetitive items. Int. J. Mach. Learn. Cybern. Hong Lin, Wensheng Gan, Gengsen Huang, Philip S. Yu
2025	A*	`conf`	Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation. IJCAI Li Sun, Suyang Zhou, Bowen Fang, Hechuan Zhang, Junda Ye, Yutong Ye, Philip S. Yu
2025	J	`jnl`	Training Large Recommendation Models via Graph-Language Token Alignment. CoRR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2025	—	`conf`	Training Large Recommendation Models via Graph-Language Tokens Alignment. WWW (Companion Volume) Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2025	J	`jnl`	Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. IEEE Trans. Big Data Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
2025	J	`jnl`	Utility-based Privacy Preserving Data Mining. CoRR Qingfeng Zhou, Wensheng Gan, Zhenlian Qi, Philip S. Yu
2025	J	`jnl`	Variational Graph Generator for Multiview Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He
2025	—	`conf`	WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents. NAACL (Findings) Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu
2025	J	`jnl`	Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization. CoRR Haochen Yuan, Minting Pan, Yunbo Wang, Siyu Gao, Philip S. Yu, Xiaokang Yang
2024	A	`conf`	3rd International Workshop on Industrial Recommendation Systems (IRS). CIKM Luyi Ma, Xiaohan Li, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis
2024	J	`jnl`	A Collaborative Ensemble Framework for CTR Prediction. CoRR Xiaolong Liu, Zhichen Zeng, Xiaoyi Liu, Siyang Yuan, Weinan Song, Mengyue Hang, Yiqun Liu, Chaofei Yang, Donghyun Kim, Wen-Yen Chen, Jiyan Yang, Yiping Han, Rong Jin, Bo Long, Hanghang Tong, Philip S. Yu
2024	J	`jnl`	A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
2024	J	`jnl`	A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning. Expert Syst. Appl. Xinqi Du, Hechang Chen, Yongheng Xing, Philip S. Yu, Lifang He
2024	J	`jnl`	A Survey of AIOps for Failure Management in the Era of Large Language Models. CoRR Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li
2024	J	`jnl`	A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
2024	J	`jnl`	A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Trans. Neural Networks Learn. Syst. Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu
2024	J	`jnl`	A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2024	J	`jnl`	A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks. CoRR Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu
2024	J	`jnl`	A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. IEEE Trans. Knowl. Data Eng. Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
2024	J	`jnl`	A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models. CoRR Haopeng Zhang, Philip S. Yu, Jiawei Zhang
2024	J	`jnl`	A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs. IEEE Trans. Cybern. Zhixiao Wang, Yahui Chai, Chengcheng Sun, Xiaobin Rui, Hao Mi, Xinyu Zhang, Philip S. Yu
2024	A	`conf`	AI Agent for Information Retrieval: Generating and Ranking. CIKM Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu
2024	A*	`conf`	Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. AAAI Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He
2024	J	`jnl`	Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning. CoRR Chaoguang Luo, Liuying Wen, Yong Qin, Liangwei Yang, Zhineng Hu, Philip S. Yu
2024	A*	`conf`	An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu
2024	J	`jnl`	Augmenting Low-Resource Cross-Lingual Summarization with Progression-Grounded Training and Prompting. ACM Trans. Asian Low Resour. Lang. Inf. Process. Jiushun Ma, Yuxin Huang, Linqin Wang, Xiang Huang, Hao Peng, Zhengtao Yu, Philip S. Yu
2024	J	`jnl`	BANGS: Game-Theoretic Node Selection for Graph Self-Training. CoRR Fangxin Wang, Kay Liu, Sourav Medya, Philip S. Yu
2024	A*	`conf`	BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization. KDD Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long, Jianmin Wang
2024	J	`jnl`	Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. IEEE Trans. Knowl. Data Eng. Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
2024	J	`jnl`	Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent. CoRR Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Pengjun Xie, Philip S. Yu, Fei Huang, Jingren Zhou
2024	—	`conf`	Beyond the Known: Novel Class Discovery for Open-World Graph Learning. DASFAA (6) Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
2024	J	`jnl`	Beyond the Known: Novel Class Discovery for Open-world Graph Learning. CoRR Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
2024	J	`jnl`	CORI: CJKV Benchmark with Romanization Integration - A step towards Cross-lingual Transfer Beyond Textual Scripts. CoRR Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu
2024	—	`conf`	CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts. LREC/COLING Hoang Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu
2024	—	`conf`	CSCL-DTI: predicting drug-target interaction through cross-view and self-supervised contrastive learning. BIBM Xuan Lin, Xi Zhang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng, Philip S. Yu
2024	J	`jnl`	Can Large Language Models Serve as Evaluators for Code Summarization? CoRR Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu
2024	J	`jnl`	Can Watermarked LLMs be Identified by Users via Crafted Prompts? CoRR Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu
2024	J	`jnl`	CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. Xiang Huang, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu
2024	A	`conf`	Collaborative Alignment for Recommendation. CIKM Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2024	J	`jnl`	Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Trans. Knowl. Data Eng. Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2024	J	`jnl`	Concept Factorization Based Multiview Clustering for Large-Scale Data. IEEE Trans. Knowl. Data Eng. Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu
2024	—	`conf`	Conditional Denoising Diffusion for Sequential Recommendation. PAKDD (5) Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2024	J	`jnl`	Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction. CoRR Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu
2024	J	`jnl`	Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces. CoRR Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu
2024	J	`jnl`	Contrastive sequential interaction network learning on co-evolving Riemannian spaces. Int. J. Mach. Learn. Cybern. Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu
2024	J	`jnl`	Cyclic Neural Network. CoRR Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu
2024	A	`conf`	DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism. CIKM Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu
2024	J	`jnl`	DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism. CoRR Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu
2024	A*	`conf`	DA³: A Distribution-Aware Adversarial Attack against Language Models. EMNLP Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu
2024	J	`jnl`	DCMSL: Dual influenced community strength-boosted multi-scale graph contrastive learning. Knowl. Based Syst. Han Chen, Yuhua Li, Philip S. Yu, Yixiong Zou, Ruixuan Li
2024	—	`conf`	DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. NAACL-HLT (Findings) Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
2024	—	`conf`	Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models. LoG Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu
2024	J	`jnl`	Decentralized Federated Learning: A Survey and Perspective. IEEE Internet Things J. Liangqi Yuan, Ziran Wang, Lichao Sun, Philip S. Yu, Christopher G. Brinton
2024	J	`jnl`	Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. CoRR Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu
2024	J	`jnl`	Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. ACM Comput. Surv. Yao Wan, Zhangqian Bi, Yang He, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu
2024	J	`jnl`	DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. CoRR Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2024	J	`jnl`	Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data. CoRR Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu
2024	J	`jnl`	Digital Fingerprinting on Multimedia: A Survey. CoRR Wendi Chen, Wensheng Gan, Philip S. Yu
2024	J	`jnl`	Disclosure and Mitigation of Gender Bias in LLMs. CoRR Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee
2024	A	`conf`	Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CIKM Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
2024	J	`jnl`	Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
2024	—	`conf`	Drug-gene Associations with Graph Learning. BCB Jiayang Wu, Wensheng Gan, Jinqi Lai, Guoting Chen, Philip S. Yu
2024	A*	`conf`	Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer. AAAI Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu
2024	J	`jnl`	EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing. IEEE Trans. Circuits Syst. Video Technol. Qihua Feng, Peiya Li, ZhiXun Lu, Chaozhuo Li, Zefan Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang, Jian Weng, Philip S. Yu
2024	J	`jnl`	Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement. CoRR Wenjing Chang, Kay Liu, Philip S. Yu, Jianjun Yu
2024	J	`jnl`	ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen
2024	—	`conf`	Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. ACL (Findings) Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024	J	`jnl`	Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions. CoRR Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024	J	`jnl`	FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen
2024	J	`jnl`	FedGraph: A Research Library and Benchmark for Federated Graph Learning. CoRR Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong
2024	—	`conf`	From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. WWW (Companion Volume) Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun
2024	A*	`conf`	GC-Bench: An Open and Unified Benchmark for Graph Condensation. NeurIPS Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024	J	`jnl`	GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024	J	`jnl`	Geospatial Big Data: Survey and Challenges. CoRR Jiayang Wu, Wensheng Gan, Han-Chieh Chao, Philip S. Yu
2024	J	`jnl`	Geospatial Big Data: Survey and Challenges. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jiayang Wu, Wensheng Gan, Han-Chieh Chao, Philip S. Yu
2024	A*	`conf`	Graph Neural Networks for Brain Graph Learning: A Survey. IJCAI Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu
2024	J	`jnl`	Graph Neural Networks for Brain Graph Learning: A Survey. CoRR Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu
2024	J	`jnl`	Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Zhao Li, Jilong Wang, Philip S. Yu
2024	J	`jnl`	Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning. CoRR Tao Zhang, Ning Yan, Masood Mortazavi, Hoang H. Nguyen, Zhongfen Deng, Philip S. Yu
2024	J	`jnl`	Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. CoRR Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2024	J	`jnl`	Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems. IEEE Trans. Big Data Senzhang Wang, Changdong Wang, Di Jin, Shirui Pan, Philip S. Yu
2024	J	`jnl`	HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. IEEE Trans. Knowl. Data Eng. Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2024	J	`jnl`	HUSP-SP: Faster Utility Mining on Sequence Data. ACM Trans. Knowl. Discov. Data Chunkai Zhang, Yuting Yang, Zilin Du, Wensheng Gan, Philip S. Yu
2024	—	`conf`	Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model. WWW (Companion Volume) Wenting Zhao, Zhongfen Deng, Shweta Yadav, Philip S. Yu
2024	J	`jnl`	Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation. IEEE Trans. Knowl. Data Eng. Ting-Ting Su, Chang-Dong Wang, Wudong Xi, Jian-Huang Lai, Philip S. Yu
2024	A*	`conf`	Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. AAAI Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu
2024	J	`jnl`	IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2024	—	`conf`	ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. ACL (Findings) Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea
2024	J	`jnl`	ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. CoRR Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea
2024	A	`conf`	InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data. CIKM Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu
2024	J	`jnl`	Information Cascade Popularity Prediction via Probabilistic Diffusion. IEEE Trans. Knowl. Data Eng. Zhangtao Cheng, Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Philip S. Yu
2024	A*	`conf`	Instruction-based Hypergraph Pretraining. SIGIR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024	J	`jnl`	Instruction-based Hypergraph Pretraining. CoRR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024	J	`jnl`	InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CoRR Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang
2024	J	`jnl`	Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2. ACM Trans. Web Hao Peng, Jian Yang, Jia Wu, Philip S. Yu
2024	J	`jnl`	Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems. Int. J. Mach. Learn. Cybern. Hao Peng, Jia Wu, Jiaxu Cui, Philip S. Yu
2024	J	`jnl`	Item Cluster-aware Prompt Learning for Session-based Recommendation. CoRR Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu
2024	J	`jnl`	Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions. CoRR Laiqiao Qin, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2024	A	`conf`	Knowledge Graph Context-Enhanced Diversified Recommendation. WSDM Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
2024	J	`jnl`	LEGO-Learn: Label-Efficient Graph Open-Set Learning. CoRR Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Kaize Ding, Yue Zhao
2024	A*	`conf`	LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. EMNLP Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
2024	J	`jnl`	LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Ranran Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
2024	A*	`conf`	LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering. ICML Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu
2024	J	`jnl`	LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering. CoRR Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu
2024	J	`jnl`	Large Language Models Meet NLP: A Survey. CoRR Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu
2024	J	`jnl`	Large Language Models for Education: A Survey and Outlook. CoRR Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
2024	J	`jnl`	Large Language Models for Education: A Survey. CoRR Hanyi Xu, Wensheng Gan, Zhenlian Qi, Jiayang Wu, Philip S. Yu
2024	J	`jnl`	Large Language Models for Link Stealing Attacks Against Graph Neural Networks. CoRR Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu
2024	J	`jnl`	Large Language Models for Medicine: A Survey. CoRR Yanxin Zheng, Wensheng Gan, Zefeng Chen, Zhenlian Qi, Qian Liang, Philip S. Yu
2024	J	`jnl`	Large language models in law: A survey. AI Open Jinqi Lai, Wensheng Gan, Jiayang Wu, Zhenlian Qi, Philip S. Yu
2024	J	`jnl`	Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction. IEEE Trans. Knowl. Data Eng. Tengfei Ma, Yujie Chen, Wen Tao, Dashun Zheng, Xuan Lin, Patrick Cheong-Iao Pang, Yiping Liu, Yijun Wang, Longyue Wang, Bosheng Song, Xiangxiang Zeng, Philip S. Yu
2024	—	`conf`	Lecture-style Tutorial: Towards Graph Foundation Models. WWW (Companion Volume) Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu
2024	J	`jnl`	Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives. CoRR Linlin Wang, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2024	A	`conf`	MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting. CIKM Zehao Gu, Shiyang Zhou, Yun Xiong, Yang Luo, Hongrun Ren, Qiang Wang, Xiaofeng Gao, Philip S. Yu
2024	J	`jnl`	MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting. IEEE Trans. Cybern. Bin Pu, Jiansong Liu, Yan Kang, Jianguo Chen, Philip S. Yu
2024	J	`jnl`	Machine Unlearning: A Survey. ACM Comput. Surv. Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
2024	—	`conf`	MarkLLM: An Open-Source Toolkit for LLM Watermarking. EMNLP (System Demonstrations) Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2024	J	`jnl`	Mixed Supervised Graph Contrastive Learning for Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
2024	A*	`conf`	Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning. AAAI Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu
2024	J	`jnl`	Motif-Based Contrastive Learning for Community Detection. IEEE Trans. Neural Networks Learn. Syst. Xunxun Wu, Chang-Dong Wang, Jia-Qi Lin, Wudong Xi, Philip S. Yu
2024	J	`jnl`	Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning. CoRR Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu
2024	A	`conf`	Multi-Relational Structural Entropy. UAI Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
2024	J	`jnl`	Multi-Relational Structural Entropy. CoRR Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
2024	J	`jnl`	Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. IEEE Trans. Neural Networks Learn. Syst. Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu
2024	J	`jnl`	Multi-View Incongruity Learning for Multimodal Sarcasm Detection. CoRR Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu
2024	J	`jnl`	Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers. CoRR Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu
2024	J	`jnl`	Multitask Active Learning for Graph Anomaly Detection. CoRR Wenjing Chang, Kay Liu, Kaize Ding, Philip S. Yu, Jianjun Yu
2024	J	`jnl`	Neural Abstractive Summarization for Long Text and Multiple Tables. IEEE Trans. Knowl. Data Eng. Shuaiqi Liu, Jiannong Cao, Zhongfen Deng, Wenting Zhao, Ruosong Yang, Zhiyuan Wen, Philip S. Yu
2024	J	`jnl`	New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook. CoRR Mengmeng Yang, Tianqing Zhu, Chi Liu, Wanlei Zhou, Shui Yu, Philip S. Yu
2024	—	`conf`	Open Metaverse: Issues, Evolution, and Future. WWW (Companion Volume) Zefeng Chen, Wensheng Gan, Jiayi Sun, Jiayang Wu, Philip S. Yu
2024	J	`jnl`	Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2024	A*	`conf`	PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. KDD Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
2024	J	`jnl`	PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. CoRR Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
2024	B	`conf`	Personalized Multi-task Training for Recommender System. IEEE Big Data Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu
2024	J	`jnl`	Personalized Multi-task Training for Recommender System. CoRR Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu
2024	J	`jnl`	Political-LLM: Large Language Models in Political Science. CoRR Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024	A*	`conf`	Position: TrustLLM: Trustworthiness in Large Language Models. ICML Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024	A*	`conf`	Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. KDD Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu
2024	J	`jnl`	Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. ACM Comput. Surv. Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
2024	J	`jnl`	Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
2024	J	`jnl`	Privacy preserving rare itemset mining. Inf. Sci. Yijie Gui, Wensheng Gan, Yongdong Wu, Philip S. Yu
2024	J	`jnl`	Privacy-preserving federated discovery of DNA motifs with differential privacy. Expert Syst. Appl. Yao Chen, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philip S. Yu
2024	A	`conf`	Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. SDM Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
2024	J	`jnl`	Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages. CoRR Hoang Nguyen, Khyati Mahajan, Vikas Yadav, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary
2024	J	`jnl`	Property Enhanced Instruction Tuning for Multi-task Molecule Generation with Large Language Models. CoRR Xuan Lin, Long Chen, Yile Wang, Xiangxiang Zeng, Philip S. Yu
2024	J	`jnl`	Provable Unrestricted Adversarial Training Without Compromise With Generalizability. IEEE Trans. Pattern Anal. Mach. Intell. Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu
2024	J	`jnl`	PyGOD: A Python Library for Graph Outlier Detection. J. Mach. Learn. Res. Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu
2024	A	`conf`	RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. WSDM Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
2024	J	`jnl`	Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu
2024	J	`jnl`	Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models. CoRR Yuqing Liu, Yu Wang, Lichao Sun, Philip S. Yu
2024	J	`jnl`	Recent Advances of Multimodal Continual Learning: A Comprehensive Survey. CoRR Dianzhi Yu, Xinni Zhang, Yankai Chen, Aiwei Liu, Yifei Zhang, Philip S. Yu, Irwin King
2024	J	`jnl`	Relational Prompt-based Pre-trained Language Models for Social Event Detection. CoRR Pu Li, Xiaoyan Yu, Hao Peng, Yantuan Xian, Linqin Wang, Li Sun, Jingyun Zhang, Philip S. Yu
2024	J	`jnl`	Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. CoRR Yinghui Li, Shang Qin, Jingheng Ye, Shirong Ma, Yangning Li, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu
2024	A	`conf`	Revisit Orthogonality in Graph-Regularized MLPs. CIKM Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2024	A*	`conf`	RicciNet: Deep Clustering via A Riemannian Generative Model. WWW Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2024	J	`jnl`	Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognit. Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He
2024	J	`jnl`	Sample Efficient Offline-to-Online Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang
2024	J	`jnl`	Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment. IEEE Trans. Neural Networks Learn. Syst. Jie Xu, Chaozhuo Li, Feiran Huang, Zhoujun Li, Xing Xie, Philip S. Yu
2024	J	`jnl`	SocialED: A Python Library for Social Event Detection. CoRR Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu
2024	J	`jnl`	Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Haibing Jin, Zhaopeng Peng, Zonghan Wu, Cheng Wang, Philip S. Yu
2024	J	`jnl`	Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and Applications. IEEE Trans. Emerg. Top. Comput. Jia Wu, Jian Yang, Philip S. Yu, Carlo Condo
2024	A*	`conf`	Spiking Graph Neural Network on Riemannian Manifolds. NeurIPS Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu
2024	J	`jnl`	Spiking Graph Neural Network on Riemannian Manifolds. CoRR Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu
2024	—	`conf`	Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. ACL (Findings) Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu
2024	J	`jnl`	Structural Entropy Guided Probabilistic Coding. CoRR Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu
2024	J	`jnl`	TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. CoRR Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu
2024	J	`jnl`	TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. CoRR Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao
2024	J	`jnl`	TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning. CoRR Yujie Feng, Xu Chu, Yongxin Xu, Zexin Lu, Bo Liu, Philip S. Yu, Xiao-Ming Wu
2024	J	`jnl`	TaSPM: Targeted Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data Gengsen Huang, Wensheng Gan, Philip S. Yu
2024	J	`jnl`	Target link protection against link-prediction-based attacks via artificial bee colony algorithm based on random walk. Int. J. Mach. Learn. Cybern. Zhongyuan Jiang, Haibo Liu, Jing Li, Xinghua Li, Jianfeng Ma, Philip S. Yu
2024	J	`jnl`	Targeted Mining Precise-positioning Episode Rules. CoRR Jian Zhu, Xiaoye Chen, Wensheng Gan, Zefeng Chen, Philip S. Yu
2024	J	`jnl`	Taxonomy-Guided Zero-Shot Recommendations with LLMs. CoRR Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2024	A*	`conf`	The 13th International Workshop on Urban Computing. KDD Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2024	J	`jnl`	The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies. CoRR Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu
2024	A	`conf`	The Open Story Model (OSM): Transforming Big Data into Interactive Narratives. ICWS Fariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu, Philip S. Yu
2024	A*	`conf`	Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network. AAAI Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu
2024	J	`jnl`	Totally-ordered Sequential Rules for Utility Maximization. ACM Trans. Knowl. Discov. Data Chunkai Zhang, Maohua Lyu, Wensheng Gan, Philip S. Yu
2024	J	`jnl`	Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding. IEEE Trans. Knowl. Data Eng. Wen-Zhi Li, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2024	J	`jnl`	Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space. CoRR Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu
2024	A*	`conf`	Towards Understanding Factual Knowledge of Large Language Models. ICLR Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024	J	`jnl`	Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Philip S. Yu
2024	J	`jnl`	Towards utility-driven contiguous sequential patterns in uncertain multi-sequences. Knowl. Based Syst. Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu
2024	J	`jnl`	Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu
2024	J	`jnl`	TrustLLM: Trustworthiness in Large Language Models. CoRR Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2024	J	`jnl`	Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. CoRR Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu
2024	J	`jnl`	Uncertainty Quantification on Graph Learning: A Survey. CoRR Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip S. Yu
2024	J	`jnl`	Uncertainty in Graph Neural Networks: A Survey. CoRR Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu
2024	J	`jnl`	Uncertainty in Graph Neural Networks: A Survey. Trans. Mach. Learn. Res. Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu
2024	J	`jnl`	Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. IEEE Trans. Knowl. Data Eng. Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
2024	A	`conf`	Unified Pretraining for Recommendation via Task Hypergraphs. WSDM Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024	J	`jnl`	Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey. CoRR Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu
2024	J	`jnl`	Unleashing the Potential of Diffusion Models for Incomplete Data Imputation. CoRR Hengrui Zhang, Liancheng Fang, Philip S. Yu
2024	J	`jnl`	Unsupervised Social Bot Detection via Structural Information Theory. CoRR Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu
2024	J	`jnl`	Unsupervised Social Bot Detection via Structural Information Theory. ACM Trans. Inf. Syst. Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu
2024	J	`jnl`	Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. CoRR Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
2024	B	`conf`	Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation. IEEE Big Data Yuqing Liu, Yu Wang, Yuwei Cao, Lichao Sun, Philip S. Yu
2024	J	`jnl`	WDEA: The Structure and Semantic Fusion With Wasserstein Distance for Low-Resource Language Entity Alignment. IEEE ACM Trans. Audio Speech Lang. Process. Ran Song, Xiang Huang, Hao Peng, Shengxiang Gao, Zhengtao Yu, Philip S. Yu
2024	J	`jnl`	WaterSeeker: Efficient Detection of Watermarked Segments in Large Documents. CoRR Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu
2024	J	`jnl`	Watermarking Techniques for Large Language Models: A Survey. CoRR Yuqing Liang, Jiancheng Xiao, Wensheng Gan, Philip S. Yu
2024	J	`jnl`	Web3: The Next Internet Revolution. IEEE Internet Things J. Shicheng Wan, Hong Lin, Wensheng Gan, Jiahui Chen, Philip S. Yu
2024	J	`jnl`	When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models. CoRR Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu
2024	A*	`conf`	When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models. NeurIPS Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu
2024	J	`jnl`	Zero-Shot Text Normalization via Cross-Lingual Knowledge Distillation. IEEE ACM Trans. Audio Speech Lang. Process. Linqin Wang, Xiang Huang, Zhengtao Yu, Hao Peng, Shengxiang Gao, Cunli Mao, Yuxin Huang, Ling Dong, Philip S. Yu
2024	—	`conf`	kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. NAACL-HLT Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu
2023	J	`jnl`	A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. CoRR Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
2023	J	`jnl`	A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
2023	A*	`conf`	A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder. ICDM Zheng Liu, Xiaohan Li, Philip S. Yu
2023	J	`jnl`	A Game-Theoretic Federated Learning Framework for Data Quality Improvement. IEEE Trans. Knowl. Data Eng. Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu
2023	—	`conf`	A Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation. DASFAA (3) Yahui Chai, Xiaobin Rui, Jie Yang, Philip S. Yu, Zhixiao Wang
2023	J	`jnl`	A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. Yan Kang, Haining Wang, Bin Pu, Liu Tao, Jianguo Chen, Philip S. Yu
2023	J	`jnl`	A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. IEEE ACM Trans. Audio Speech Lang. Process. Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu
2023	A*	`conf`	A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. WWW Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu
2023	J	`jnl`	A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. CoRR Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu
2023	J	`jnl`	A Private Watermark for Large Language Models. CoRR Aiwei Liu, Leyi Pan, Xuming Hu, Shu'ang Li, Lijie Wen, Irwin King, Philip S. Yu
2023	J	`jnl`	A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy. IEEE Trans. Knowl. Data Eng. Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu
2023	J	`jnl`	A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He
2023	J	`jnl`	A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. IEEE Trans. Knowl. Data Eng. Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang
2023	J	`jnl`	A Survey of Text Watermarking in the Era of Large Language Models. CoRR Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2023	J	`jnl`	A Survey on Evaluation of Large Language Models. CoRR Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2023	J	`jnl`	A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
2023	J	`jnl`	A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. CoRR Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
2023	J	`jnl`	A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability. CoRR Aiwei Liu, Xuming Hu, Lijie Wen, Philip S. Yu
2023	J	`jnl`	AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction. CoRR Zhongfen Deng, Wei-Te Chen, Lei Chen, Philip S. Yu
2023	—	`conf`	AMR-based Network for Aspect-based Sentiment Analysis. ACL (1) Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen
2023	J	`jnl`	Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. IEEE Trans. Pattern Anal. Mach. Intell. Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu
2023	J	`jnl`	Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
2023	J	`jnl`	Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing. CoRR Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023	J	`jnl`	Adversarial Attack and Defense on Graph Data: A Survey. IEEE Trans. Knowl. Data Eng. Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li
2023	J	`jnl`	Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity. ACM Comput. Surv. Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2023	J	`jnl`	Adversarial Representation Mechanism Learning for Network Embedding. IEEE Trans. Knowl. Data Eng. Dongxiao He, Tao Wang, Lu Zhai, Di Jin, Liang Yang, Yuxiao Huang, Zhiyong Feng, Philip S. Yu
2023	J	`jnl`	Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder. IEEE Trans. Knowl. Data Eng. Li Sun, Zhongbao Zhang, Feiyang Wang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu
2023	—	`conf`	All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. IJCNLP (2) Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu
2023	J	`jnl`	All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. CoRR Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu
2023	J	`jnl`	An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
2023	J	`jnl`	An in-depth study on key nodes in social networks. Intell. Data Anal. Chengcheng Sun, Zhixiao Wang, Xiaobin Rui, Philip S. Yu, Lichao Sun
2023	A	`conf`	Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making. SDM Jia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu
2023	B	`conf`	Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. IEEE Big Data Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu
2023	J	`jnl`	Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. CoRR Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu
2023	A*	`conf`	Attacking Fake News Detectors via Manipulating News Social Engagement. WWW Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
2023	J	`jnl`	Attacking Fake News Detectors via Manipulating News Social Engagement. CoRR Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
2023	—	`conf`	Automatic Table Union Search with Tabular Representation Learning. ACL (Findings) Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria. IEEE Trans. Neural Networks Learn. Syst. Tao Zhang, Tianqing Zhu, Kun Gao, Wanlei Zhou, Philip S. Yu
2023	J	`jnl`	Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. CoRR Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
2023	J	`jnl`	C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks. IEEE Trans. Neural Networks Learn. Syst. Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Shan Xue, Qianli Xing, Philip S. Yu
2023	J	`jnl`	CIFair: Constructing continuous domains of invariant features for image fair classifications. Knowl. Based Syst. Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2023	A*	`conf`	CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion. WWW Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2023	A*	`conf`	CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. IJCAI Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
2023	A*	`conf`	Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. SIGIR Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen D. Guo, Philip S. Yu
2023	J	`jnl`	Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. CoRR Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen D. Guo, Philip S. Yu
2023	A*	`conf`	CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. EMNLP Hoang Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu
2023	J	`jnl`	CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. CoRR Hoang H. Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu
2023	J	`jnl`	Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. CoRR Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2023	J	`jnl`	Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. Briefings Bioinform. Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng
2023	J	`jnl`	Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. CoRR Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng
2023	J	`jnl`	Conditional Denoising Diffusion for Sequential Recommendation. CoRR Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2023	A*	`conf`	ConsRec: Learning Consensus Behind Interactions for Group Recommendation. WWW Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu
2023	J	`jnl`	ConsRec: Learning Consensus Behind Interactions for Group Recommendation. CoRR Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu
2023	J	`jnl`	Contrastive Graph Clustering in Curvature Spaces. CoRR Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
2023	J	`jnl`	DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models. CoRR Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu
2023	J	`jnl`	DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation. Neurocomputing Zhimeng Yang, Yazhou Ren, Zirui Wu, Ming Zeng, Jie Xu, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He
2023	A	`conf`	DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. WSDM Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
2023	J	`jnl`	DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. CoRR Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
2023	J	`jnl`	DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation. CoRR Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, Philip S. Yu
2023	J	`jnl`	Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models. CoRR Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu
2023	J	`jnl`	Decentralized Federated Learning: A Survey and Perspective. CoRR Liangqi Yuan, Lichao Sun, Philip S. Yu, Ziran Wang
2023	A*	`conf`	DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. ICDM Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2023	A	`conf`	Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CIKM Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
2023	J	`jnl`	Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CoRR Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
2023	J	`jnl`	Discovering High Utility Episodes in Sequences. IEEE Trans. Artif. Intell. Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philip S. Yu
2023	J	`jnl`	Discovering Utility-driven Interval Rules. CoRR Chunkai Zhang, Maohua Lyu, Huaijin Hao, Wensheng Gan, Philip S. Yu
2023	B	`conf`	Distributed Training of Large Language Models. ICPADS Fanlong Zeng, Wensheng Gan, Yongheng Wang, Philip S. Yu
2023	J	`jnl`	Do Large Language Models Know about Facts? CoRR Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo
2023	J	`jnl`	Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. ACM Trans. Asian Low Resour. Lang. Inf. Process. Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu
2023	J	`jnl`	Dual Adversarial Variational Embedding for Robust Recommendation. IEEE Trans. Knowl. Data Eng. Qiaomin Yi, Ning Yang, Philip S. Yu
2023	B	`conf`	Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. IEEE Big Data Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu
2023	J	`jnl`	Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation. IEEE ACM Trans. Comput. Biol. Bioinform. Xuan Lin, Zhe Quan, Zhi-Jie Wang, Yan Guo, Xiangxiang Zeng, Philip S. Yu
2023	—	`conf`	Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. ACL (Findings) Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen
2023	J	`jnl`	Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. CoRR Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen
2023	—	`conf`	Enhancing Cross-lingual Transfer via Phonemic Transcription Integration. ACL (Findings) Hoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu
2023	J	`jnl`	Enhancing Cross-lingual Transfer via Phonemic Transcription Integration. CoRR Hoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu
2023	—	`conf`	Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks. ACL (Findings) Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu
2023	A*	`conf`	Equal Opportunity of Coverage in Fair Regression. NeurIPS Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu
2023	J	`jnl`	Equal Opportunity of Coverage in Fair Regression. CoRR Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu
2023	A*	`conf`	Exploiting Intent Evolution in E-commercial Query Recommendation. KDD Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu
2023	J	`jnl`	Fairness in graph-based semi-supervised learning. Knowl. Inf. Syst. Tao Zhang, Tianqing Zhu, Mengde Han, Fengwen Chen, Jing Li, Wanlei Zhou, Philip S. Yu
2023	J	`jnl`	Fine-Grained Urban Flow Inference With Incomplete Data. IEEE Trans. Knowl. Data Eng. Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu
2023	J	`jnl`	Forest based on Interval Transformation (FIT): A time series classifier with adaptive features. Expert Syst. Appl. Guiling Li, Shaolin Xu, Senzhang Wang, Philip S. Yu
2023	J	`jnl`	From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited. CoRR Zheng Wang, Hongming Ding, Li Pan, Jianhua Li, Zhiguo Gong, Philip S. Yu
2023	J	`jnl`	G IEEE Trans. Neural Networks Learn. Syst. Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
2023	J	`jnl`	GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
2023	—	`conf`	GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
2023	J	`jnl`	GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
2023	Misc	`conf`	Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. ICASSP Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. CoRR Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Generalizing to Unseen Domains: A Survey on Domain Generalization. IEEE Trans. Knowl. Data Eng. Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, Philip S. Yu
2023	J	`jnl`	Give Me More Details: Improving Fact-Checking with Latent Retrieval. CoRR Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu
2023	A*	`conf`	Graph Collaborative Signals Denoising and Augmentation for Recommendation. SIGIR Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023	J	`jnl`	Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023	A*	`conf`	Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. ICDM Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu
2023	J	`jnl`	Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. CoRR Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu
2023	J	`jnl`	Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu
2023	A	`conf`	Graph-based Alignment and Uniformity for Recommendation. CIKM Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
2023	J	`jnl`	Graph-based Alignment and Uniformity for Recommendation. CoRR Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
2023	A*	`conf`	Graph-based Village Level Poverty Identification. WWW Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
2023	J	`jnl`	Graph-based Village Level Poverty Identification. CoRR Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
2023	A	`conf`	Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CIKM Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023	J	`jnl`	Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CoRR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023	B	`conf`	Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. IEEE Big Data Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
2023	J	`jnl`	Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. CoRR Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
2023	J	`jnl`	Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications. IEEE Trans. Knowl. Data Eng. Jianxin Li, Lifang He, Hao Peng, Peng Cui, Charu C. Aggarwal, Philip S. Yu
2023	J	`jnl`	HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu
2023	J	`jnl`	Heterogeneous Graph Propagation Network. IEEE Trans. Knowl. Data Eng. Houye Ji, Xiao Wang, Chuan Shi, Bai Wang, Philip S. Yu
2023	—	`conf`	Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction. DASFAA (4) Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu
2023	J	`jnl`	Hierarchical Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu
2023	J	`jnl`	Hierarchical State Abstraction Based on Structural Information Principles. CoRR Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu
2023	A*	`conf`	Hierarchical State Abstraction based on Structural Information Principles. IJCAI Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu
2023	J	`jnl`	Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. CoRR Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu
2023	J	`jnl`	Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. IEEE Trans. Cybern. Ling Huang, Chang-Dong Wang, Philip S. Yu
2023	J	`jnl`	Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
2023	J	`jnl`	Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation. CoRR Zi-Feng Mai, Chang-Dong Wang, Zhongjie Zeng, Ya Li, Jiaquan Chen, Philip S. Yu
2023	—	`conf`	IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. ICDM (Workshops) Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
2023	J	`jnl`	Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection. IEEE Trans. Knowl. Data Eng. Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
2023	J	`jnl`	Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection. CoRR Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
2023	B	`conf`	Interaction in Metaverse: A Survey. IEEE Big Data Hong Lin, Zirun Gan, Wensheng Gan, Zhenlian Qi, Yuehua Wang, Philip S. Yu
2023	J	`jnl`	Interaction in Metaverse: A Survey. CoRR Hong Lin, Zirun Gan, Wensheng Gan, Zhenlian Qi, Yuehua Wang, Philip S. Yu
2023	J	`jnl`	Internet of Behaviors: A Survey. IEEE Internet Things J. Jiayi Sun, Wensheng Gan, Han-Chieh Chao, Philip S. Yu, Weiping Ding
2023	B	`conf`	Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. IJCNN Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang
2023	J	`jnl`	Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 1. ACM Trans. Web Hao Peng, Jian Yang, Jia Wu, Philip S. Yu
2023	B	`conf`	JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. IEEE Big Data Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu
2023	J	`jnl`	JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. CoRR Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu
2023	J	`jnl`	Joint Learning of Local and Global Features for Aspect-based Sentiment Classification. CoRR Hao Niu, Yun Xiong, Xiaosu Wang, Philip S. Yu
2023	J	`jnl`	KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction. IEEE Trans. Knowl. Data Eng. Tengfei Ma, Xuan Lin, Bosheng Song, Philip S. Yu, Xiangxiang Zeng
2023	J	`jnl`	Knowledge Graph Context-Enhanced Diversified Recommendation. CoRR Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
2023	J	`jnl`	LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
2023	J	`jnl`	Large Language Models for Robotics: A Survey. CoRR Fanlong Zeng, Wensheng Gan, Yongheng Wang, Ning Liu, Philip S. Yu
2023	J	`jnl`	Large Language Models in Law: A Survey. CoRR Jinqi Lai, Wensheng Gan, Jiayang Wu, Zhenlian Qi, Philip S. Yu
2023	J	`jnl`	Learning Adaptive Node Embeddings Across Graphs. IEEE Trans. Knowl. Data Eng. Gaoyang Guo, Chaokun Wang, Bencheng Yan, Yunkai Lou, Hao Feng, Junchao Zhu, Jun Chen, Fei He, Philip S. Yu
2023	J	`jnl`	Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Ziwen Du, Ning Yang, Zhonghua Yu, Philip S. Yu
2023	J	`jnl`	Learning Games for Defending Advanced Persistent Threats in Cyber Systems. IEEE Trans. Syst. Man Cybern. Syst. Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
2023	J	`jnl`	Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2023	A	`conf`	Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations. CIKM Hsu-Chao Lai, Philip S. Yu, Jiun-Long Huang
2023	A*	`conf`	Learning to Select from Multiple Options. AAAI Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
2023	J	`jnl`	Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. IEEE Trans. Knowl. Data Eng. Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingsheng Liu, Mingming Zhang, Philip S. Yu, Lifang He
2023	J	`jnl`	Link Prediction with Contextualized Self-Supervision. IEEE Trans. Knowl. Data Eng. Daokun Zhang, Jie Yin, Philip S. Yu
2023	—	`conf`	Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. IJCNLP (Findings) Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu
2023	J	`jnl`	Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. CoRR Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu
2023	—	`conf`	Location-Adaptive Generative Graph Augmentation for Fraud Detection. CogMI Lin Meng, Xiaonan Zhang, Jiawei Zhang, Philip S. Yu
2023	J	`jnl`	MC ACM Trans. Intell. Syst. Technol. Li Sun, Zhongbao Zhang, Gen Li, Pengxin Ji, Sen Su, Philip S. Yu
2023	A*	`conf`	MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. SIGIR Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Machine Unlearning: A Survey. CoRR Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
2023	J	`jnl`	Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder. CoRR Zheng Liu, Xiaohan Li, Philip S. Yu
2023	J	`jnl`	Model-Based Self-Advising for Multi-Agent Learning. IEEE Trans. Neural Networks Learn. Syst. Dayong Ye, Tianqing Zhu, Congcong Zhu, Wanlei Zhou, Philip S. Yu
2023	B	`conf`	Model-as-a-Service (MaaS): A Survey. IEEE Big Data Wensheng Gan, Shicheng Wan, Philip S. Yu
2023	J	`jnl`	Model-as-a-Service (MaaS): A Survey. CoRR Wensheng Gan, Shicheng Wan, Philip S. Yu
2023	J	`jnl`	Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. IEEE Trans. Knowl. Data Eng. Tingting Liang, Congying Xia, Haoran Xu, Ziqiang Zhao, Yuyu Yin, Liang Chen, Philip S. Yu
2023	B	`conf`	Multi-View Graph Convolution for Participant Recommendation. IEEE Big Data Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
2023	J	`jnl`	Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation. IEEE Trans. Knowl. Data Eng. Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu
2023	A	`conf`	Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. RecSys Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
2023	J	`jnl`	Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. CoRR Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
2023	J	`jnl`	Multi-view Graph Convolution for Participant Recommendation. CoRR Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
2023	B	`conf`	Multimodal Large Language Models: A Survey. IEEE Big Data Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, Philip S. Yu
2023	J	`jnl`	Multimodal Large Language Models: A Survey. CoRR Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, Philip S. Yu
2023	—	`conf`	Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
2023	J	`jnl`	Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
2023	J	`jnl`	Multiview Clustering via Proximity Learning in Latent Representation Space. IEEE Trans. Neural Networks Learn. Syst. Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2023	A*	`conf`	Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. WWW Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023	J	`jnl`	Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. CoRR Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023	—	`conf`	Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. IJCNLP (Findings) Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu
2023	J	`jnl`	Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. CoRR Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu
2023	J	`jnl`	Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2023	J	`jnl`	Open Metaverse: Issues, Evolution, and Future. CoRR Zefeng Chen, Wensheng Gan, Jiayi Sun, Jiayang Wu, Philip S. Yu
2023	J	`jnl`	OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2023	A*	`conf`	Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting. ICDE Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2023	J	`jnl`	PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2023	J	`jnl`	Privacy and Fairness in Federated Learning: on the Perspective of Trade-off. CoRR Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
2023	J	`jnl`	Privacy and evolutionary cooperation in neural-network-based game theory. Knowl. Based Syst. Zishuo Cheng, Tianqing Zhu, Congcong Zhu, Dayong Ye, Wanlei Zhou, Philip S. Yu
2023	J	`jnl`	Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy. CoRR Yao Chen, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philip S. Yu
2023	J	`jnl`	Privacy-preserving federated mining of frequent itemsets. Inf. Sci. Yao Chen, Wensheng Gan, Yongdong Wu, Philip S. Yu
2023	J	`jnl`	Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation. CoRR Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee
2023	J	`jnl`	Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. CoRR Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
2023	A*	`conf`	Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. ACM Multimedia Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. CoRR Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Provable Unrestricted Adversarial Training without Compromise with Generalizability. CoRR Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu
2023	J	`jnl`	RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. CoRR Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
2023	A	`conf`	Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. WSDM Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023	A*	`conf`	Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. SIGIR Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. CoRR Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Recent advances in domain-driven data mining. Int. J. Data Sci. Anal. Chuanren Liu, Ehsan Fakharizadi, Tong Xu, Philip S. Yu
2023	A	`conf`	Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. WSDM Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu
2023	J	`jnl`	Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages. IEEE Trans. Pattern Anal. Mach. Intell. Hao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip S. Yu
2023	J	`jnl`	Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation. IEEE Trans. Knowl. Data Eng. Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu
2023	J	`jnl`	Revisiting model fairness via adversarial examples. Knowl. Based Syst. Tao Zhang, Tianqing Zhu, Jing Li, Wanlei Zhou, Philip S. Yu
2023	A*	`conf`	SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. WWW Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu
2023	J	`jnl`	SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. CoRR Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu
2023	J	`jnl`	SOR-TC: Self-attentive octave ResNet with temporal consistency for compressed video action recognition. Neurocomputing Junsan Zhang, Xiaomin Wang, Yao Wan, Leiquan Wang, Jian Wang, Philip S. Yu
2023	A*	`conf`	Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023	A*	`conf`	Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. AAAI Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
2023	J	`jnl`	Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He
2023	J	`jnl`	Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023	A*	`conf`	SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. SIGIR Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. IEEE Trans. Knowl. Data Eng. Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu
2023	J	`jnl`	ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. CoRR Wei-Yao Wang, Wen-Chih Peng, Wei Wang, Philip S. Yu
2023	J	`jnl`	Signed Network Representation by Preserving Multi-Order Signed Proximity. IEEE Trans. Knowl. Data Eng. Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Yang Yang, Philip S. Yu
2023	A*	`conf`	Sketch-Based Anomaly Detection in Streaming Graphs. KDD Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
2023	B	`conf`	Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. SIGDIAL Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu
2023	J	`jnl`	Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. CoRR Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu
2023	J	`jnl`	TALENT: Targeted Mining of Non-overlapping Sequential Patterns. CoRR Zefeng Chen, Wensheng Gan, Gengsen Huang, Zhenlian Qi, Yan Li, Philip S. Yu
2023	B	`conf`	TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. IEEE Big Data Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
2023	J	`jnl`	TUSQ: Targeted High-Utility Sequence Querying. IEEE Trans. Big Data Chunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng, Philip S. Yu
2023	J	`jnl`	Temporal Link Prediction With Motifs for Social Networks. IEEE Trans. Knowl. Data Eng. Zhenyu Qiu, Jia Wu, Wenbin Hu, Bo Du, Guocai Yuan, Philip S. Yu
2023	A*	`conf`	The 12th International Workshop on Urban Computing. KDD Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2023	A*	`conf`	Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
2023	J	`jnl`	Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
2023	J	`jnl`	Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. CoRR Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu
2023	B	`conf`	Towards Contiguous Sequences in Uncertain Data. DSAA Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu
2023	J	`jnl`	Towards Graph Foundation Models: A Survey and Beyond. CoRR Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
2023	J	`jnl`	Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning. IEEE Trans. Knowl. Data Eng. Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, Philip S. Yu
2023	J	`jnl`	Transferring From Textual Entailment to Biomedical Named Entity Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. Tingting Liang, Congying Xia, Ziqiang Zhao, Yixuan Jiang, Yuyu Yin, Philip S. Yu
2023	J	`jnl`	Triadic Closure Sensitive Influence Maximization. ACM Trans. Knowl. Discov. Data Jie Yang, Zhixiao Wang, Xiaobin Rui, Yahui Chai, Philip S. Yu, Lichao Sun
2023	J	`jnl`	TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models. CoRR Yue Huang, Qihui Zhang, Philip S. Yu, Lichao Sun
2023	J	`jnl`	US-Rule: Discovering Utility-driven Sequential Rules. ACM Trans. Knowl. Discov. Data Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu
2023	B	`conf`	USER: Towards High-Utility Sequential Rules with Repetitive Items. IEEE Big Data Hong Lin, Wensheng Gan, Gengsen Huang, Philip S. Yu
2023	A	`conf`	Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023	J	`jnl`	Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023	J	`jnl`	Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection. CoRR Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
2023	J	`jnl`	Unified Pretraining for Recommendation via Task Hypergraphs. CoRR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023	A*	`conf`	Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. ICDM Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He
2023	J	`jnl`	Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. CoRR Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He
2023	J	`jnl`	Weakly Supervised Anomaly Detection: A Survey. CoRR Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao
2023	—	`conf`	Web 3.0: The Future of Internet. WWW (Companion Volume) Wensheng Gan, Zhenqiang Ye, Shicheng Wan, Philip S. Yu
2023	J	`jnl`	Web 3.0: The Future of Internet. CoRR Wensheng Gan, Zhenqiang Ye, Shicheng Wan, Philip S. Yu
2023	J	`jnl`	Web3: The Next Internet Revolution. CoRR Shicheng Wan, Hong Lin, Wensheng Gan, Jiahui Chen, Philip S. Yu
2023	A	`conf`	Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CIKM Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
2023	J	`jnl`	Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
2023	J	`jnl`	kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. CoRR Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu
2022	J	`jnl`	A Generic Algorithm for Top-K On-Shelf Utility Mining. CoRR Jiahui Chen, Xu Guo, Wensheng Gan, Shicheng Wan, Philip S. Yu
2022	J	`jnl`	A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. CoRR Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu
2022	A*	`conf`	A Self-Supervised Mixed-Curvature Graph Neural Network. AAAI Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
2022	A	`conf`	A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. CIKM Li Sun, Junda Ye, Hao Peng, Philip S. Yu
2022	J	`jnl`	A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. CoRR Li Sun, Junda Ye, Hao Peng, Philip S. Yu
2022	J	`jnl`	A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19. ACM Comput. Surv. Jianguo Chen, Kenli Li, Zhaolei Zhang, Keqin Li, Philip S. Yu
2022	J	`jnl`	A Survey on Knowledge Graphs: Representation, Acquisition, and Applications. IEEE Trans. Neural Networks Learn. Syst. Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu
2022	J	`jnl`	A Survey on Text Classification: From Traditional to Deep Learning. ACM Trans. Intell. Syst. Technol. Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
2022	J	`jnl`	A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources. AI Open Jiawei Liu, Chuan Shi, Cheng Yang, Zhiyuan Lu, Philip S. Yu
2022	B	`conf`	AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction. IEEE Big Data Zhongfen Deng, Wei-Te Chen, Lei Chen, Philip S. Yu
2022	J	`jnl`	Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. IEEE ACM Trans. Audio Speech Lang. Process. Qianren Mao, Jianxin Li, Chenghua Lin, Congwen Chen, Hao Peng, Lihong Wang, Philip S. Yu
2022	J	`jnl`	An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation. IEEE Trans. Cybern. Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2022	J	`jnl`	An Efficient Approach for Mining Reliable High Utility Patterns. IEEE Access Mohammed A. Fouad, Wedad Hussein, Sherine Rady, Philip S. Yu, Tarek F. Gharib
2022	J	`jnl`	An Efficient Approach for Rational Next-Basket Recommendation. IEEE Access Mohammed A. Fouad, Wedad Hussein, Sherine Rady, Philip S. Yu, Tarek F. Gharib
2022	J	`jnl`	An Integrated Cluster Detection, Optimization, and Interpretation Approach for Financial Data. IEEE Trans. Cybern. Tie Li, Gang Kou, Yi Peng, Philip S. Yu
2022	—	`conf`	Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. ConvAI@ACL Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu
2022	J	`jnl`	Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. CoRR Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu
2022	A	`conf`	Automating DBSCAN via Deep Reinforcement Learning. CIKM Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu
2022	J	`jnl`	Automating DBSCAN via Deep Reinforcement Learning. CoRR Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu
2022	A*	`conf`	BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
2022	J	`jnl`	Benchmarking Node Outlier Detection on Graphs. CoRR Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
2022	J	`jnl`	Big Data Meets Metaverse: A Survey. CoRR Jiayi Sun, Wensheng Gan, Zefeng Chen, Junhui Li, Philip S. Yu
2022	—	`conf`	CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. NAACL-HLT Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu
2022	J	`jnl`	CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. CoRR Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu
2022	A*	`conf`	CLARE: A Semi-supervised Community Detection Algorithm. KDD Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu
2022	J	`jnl`	CLARE: A Semi-supervised Community Detection Algorithm. CoRR Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu
2022	—	`conf`	Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? LOUHI@EMNLP Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi
2022	J	`jnl`	Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? CoRR Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi
2022	J	`jnl`	Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. CoRR Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2022	—	`conf`	Concurrent Transformer for Spatial-Temporal Graph Modeling. DASFAA (3) Yi Xie, Yun Xiong, Yangyong Zhu, Philip S. Yu, Cheng Jin, Qiang Wang, Haihong Li
2022	J	`jnl`	Continuous Monitoring of Maximum Clique Over Dynamic Graphs. IEEE Trans. Knowl. Data Eng. Shengli Sun, Weiping Li, Yimo Wang, Weilong Liao, Philip S. Yu
2022	B	`conf`	Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing. IEEE Big Data Yibo Wang, Congying Xia, Guan Wang, Philip S. Yu
2022	J	`jnl`	Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing. CoRR Yibo Wang, Congying Xia, Guan Wang, Philip S. Yu
2022	J	`jnl`	Contrast Pattern Mining: A Survey. CoRR Yao Chen, Wensheng Gan, Yongdong Wu, Philip S. Yu
2022	A	`conf`	ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CIKM Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2022	J	`jnl`	ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CoRR Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2022	A	`conf`	Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CIKM Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022	J	`jnl`	Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CoRR Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022	J	`jnl`	DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. CoRR Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
2022	J	`jnl`	Deep Clustering: A Comprehensive Survey. CoRR Yazhou Ren, Jingyu Pu, Zhimeng Yang, Jie Xu, Guofeng Li, Xiaorong Pu, Philip S. Yu, Lifang He
2022	J	`jnl`	Deep Learning for Spatio-Temporal Data Mining: A Survey. IEEE Trans. Knowl. Data Eng. Senzhang Wang, Jiannong Cao, Philip S. Yu
2022	J	`jnl`	Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis. CoRR Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He
2022	J	`jnl`	Deep learning for drug repurposing: methods, databases, and applications. CoRR Xiaoqin Pan, Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He, Ruth Nussinov, Feixiong Cheng
2022	J	`jnl`	Deep reinforcement learning guided graph neural networks for brain network analysis. Neural Networks Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He
2022	J	`jnl`	DeepBlue: Bi-Layered LSTM for Tweet popUlarity Estimation. IEEE Trans. Knowl. Data Eng. Zhongbao Zhang, Zichang Yin, Jian Wen, Li Sun, Sen Su, Philip S. Yu
2022	—	`conf`	Deoscillated Adaptive Graph Collaborative Filtering. TAG-ML Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang, Philip S. Yu
2022	J	`jnl`	Differential Advising in Multiagent Reinforcement Learning. IEEE Trans. Cybern. Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
2022	J	`jnl`	Differentially Private Multi-Agent Planning for Logistic-Like Problems. IEEE Trans. Dependable Secur. Comput. Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
2022	B	`conf`	Double-Environmental Q-Learning for Energy Management System in Smart Grid. IEEE Big Data Jia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu
2022	A*	`conf`	Dual Space Graph Contrastive Learning. WWW Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
2022	J	`jnl`	Dual Space Graph Contrastive Learning. CoRR Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
2022	A	`conf`	Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction. WSDM Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, Jian Wang
2022	A*	`conf`	Efficient Orthogonal Multi-view Subspace Clustering. KDD Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu
2022	J	`jnl`	EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks. CoRR Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu
2022	A*	`conf`	Epidemic Spread Optimization for Disease Containment with NPIs and Vaccination. ICDE Ya-Wen Teng, Yishuo Shi, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ying-Liang Lu, Ming-Syan Chen
2022	A	`conf`	Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. ICWS Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu
2022	J	`jnl`	Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. CoRR Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu
2022	J	`jnl`	Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang
2022	J	`jnl`	Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination. IEEE Trans. Knowl. Data Eng. Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
2022	B	`conf`	Fast Mining RFM Patterns for Behavioral Analytics. DSAA Shicheng Wan, Jieying Deng, Wensheng Gan, Jiahui Chen, Philip S. Yu
2022	J	`jnl`	Federated Social Recommendation with Graph Neural Network. ACM Trans. Intell. Syst. Technol. Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
2022	—	`conf`	Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment. BIBM Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu, Philip S. Yu
2022	A	`conf`	Frequent Itemset Mining with Local Differential Privacy. CIKM Junhui Li, Wensheng Gan, Yijie Gui, Yongdong Wu, Philip S. Yu
2022	A	`conf`	From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection. CIKM Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
2022	J	`jnl`	From Known to Unknown: Quality-aware Self-improving Graph Neural Network for Open Set Social Event Detection. CoRR Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
2022	J	`jnl`	G CoRR Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
2022	J	`jnl`	Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. CoRR Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu
2022	J	`jnl`	Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu
2022	A*	`conf`	Graph Structure Learning with Variational Information Bottleneck. AAAI Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2022	J	`jnl`	Guest Editorial: Graph-powered machine learning in future-generation computing systems. Future Gener. Comput. Syst. Shirui Pan, Shaoxiong Ji, Di Jin, Feng Xia, Philip S. Yu
2022	J	`jnl`	Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. IEEE Trans. Big Data Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han
2022	J	`jnl`	HNF: Hybrid Neural Filtering Based on Centrality-Aware Random Walk for Personalized Recommendation. IEEE Trans. Netw. Sci. Eng. Shenghao Liu, Bang Wang, Laurence T. Yang, Philip S. Yu
2022	J	`jnl`	HUSP-SP: Faster Utility Mining on Sequence Data. CoRR Chunkai Zhang, Yuting Yang, Zilin Du, Wensheng Gan, Philip S. Yu
2022	—	`book`	Heterogeneous Graph Representation Learning and Applications Chuan Shi, Xiao Wang, Philip S. Yu
2022	J	`jnl`	Heterogeneous Information Networks: the Past, the Present, and the Future. Proc. VLDB Endow. Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu
2022	—	`conf`	HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. NAACL-HLT Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu
2022	J	`jnl`	HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. CoRR Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu
2022	J	`jnl`	Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. Boyan Wang, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu
2022	A*	`conf`	Hierarchical Representation Learning for Attributed Networks. ICDE Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu
2022	J	`jnl`	HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network. IEEE Trans. Knowl. Data Eng. Yali Gao, Xiaoyong Li, Hao Peng, Binxing Fang, Philip S. Yu
2022	J	`jnl`	Improving Contrastive Learning with Model Augmentation. CoRR Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, Philip S. Yu, Caiming Xiong
2022	J	`jnl`	Internet of Behaviors: A Survey. CoRR Jiayi Sun, Wensheng Gan, Han-Chieh Chao, Philip S. Yu, Weiping Ding
2022	A*	`conf`	Invariant Preference Learning for General Debiasing in Recommendation. KDD Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui
2022	A*	`conf`	Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). KDD Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng
2022	J	`jnl`	Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Trans. Neural Networks Learn. Syst. Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He
2022	J	`jnl`	KGGen: A Generative Approach for Incipient Knowledge Graph Population. IEEE Trans. Knowl. Data Eng. Hao Chen, Chenwei Zhang, Jun Li, Philip S. Yu, Ning Jing
2022	A*	`conf`	Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. WWW Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
2022	J	`jnl`	Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. CoRR Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
2022	A*	`conf`	Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). ICDE Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2022	J	`jnl`	Learning aspect-level complementarity for intent-aware complementary recommendation. Knowl. Based Syst. Rui Wang, Ning Yang, Philip S. Yu
2022	J	`jnl`	Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning. CoRR Ziwen Du, Ning Yang, Zhonghua Yu, Philip S. Yu
2022	J	`jnl`	Learning to Select from Multiple Options. CoRR Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
2022	J	`jnl`	Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. IEEE Trans. Computers Hao Peng, Renyu Yang, Zheng Wang, Jianxin Li, Lifang He, Philip S. Yu, Albert Y. Zomaya, Rajiv Ranjan
2022	J	`jnl`	Link Prediction with Contextualized Self-Supervision. CoRR Daokun Zhang, Jie Yin, Philip S. Yu
2022	J	`jnl`	Localized Contrastive Learning on Graphs. CoRR Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu
2022	J	`jnl`	Membership Inference Attacks on Machine Learning: A Survey. ACM Comput. Surv. Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Philip S. Yu, Xuyun Zhang
2022	B	`conf`	MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. IEEE Big Data Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
2022	J	`jnl`	MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. CoRR Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
2022	J	`jnl`	Metaverse: Survey, Applications, Security, and Opportunities. CoRR Jiayi Sun, Wensheng Gan, Han-Chieh Chao, Philip S. Yu
2022	B	`conf`	Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. IEEE Big Data Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan
2022	J	`jnl`	Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. CoRR Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan
2022	J	`jnl`	Mitigating Health Disparities in EHR via Deconfounder. CoRR Zheng Liu, Xiaohan Li, Philip S. Yu
2022	—	`conf`	Mitigating health disparities in EHR via deconfounder. BCB Zheng Liu, Xiaohan Li, Philip S. Yu
2022	J	`jnl`	More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. IEEE Trans. Knowl. Data Eng. Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu
2022	J	`jnl`	More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design. ACM Comput. Surv. Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu
2022	A	`conf`	Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. WSDM Xiaoyun Zhao, Ning Yang, Philip S. Yu
2022	J	`jnl`	Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. CoRR Xiaoyun Zhao, Ning Yang, Philip S. Yu
2022	J	`jnl`	Multi-View Consensus Proximity Learning for Clustering. IEEE Trans. Knowl. Data Eng. Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2022	J	`jnl`	Multi-agent reinforcement learning via knowledge transfer with differentially private noise. Int. J. Intell. Syst. Zishuo Cheng, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu, Congcong Zhu
2022	J	`jnl`	Multifaceted Improvements for Conversational Open-Domain Question Answering. CoRR Tingting Liang, Yixuan Jiang, Congying Xia, Ziqiang Zhao, Yuyu Yin, Philip S. Yu
2022	J	`jnl`	Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction. ACM Trans. Intell. Syst. Technol. Senzhang Wang, Meiyue Zhang, Hao Miao, Zhaohui Peng, Philip S. Yu
2022	J	`jnl`	Multiview Subspace Clustering With Grouping Effect. IEEE Trans. Cybern. Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu
2022	—	`conf`	NaturalCC: An Open-Source Toolkit for Code Intelligence. ICSE-Companion Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu
2022	J	`jnl`	Node Pair Information Preserving Network Embedding Based on Adversarial Networks. IEEE Trans. Cybern. Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu
2022	J	`jnl`	On-Shelf Utility Mining of Sequence Data. ACM Trans. Knowl. Discov. Data Chunkai Zhang, Zilin Du, Yuting Yang, Wensheng Gan, Philip S. Yu
2022	A	`conf`	PAS: Privacy Algorithms in Systems. CIKM Philip S. Yu, Olivera Kotevska, Tyler Derr
2022	J	`jnl`	PERFECT: A Hyperbolic Embedding for Joint User and Community Alignment. CoRR Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu
2022	A	`conf`	Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CIKM Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022	J	`jnl`	Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CoRR Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022	J	`jnl`	Privacy-Preserving Deep Learning Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain. IEEE Trans. Intell. Transp. Syst. Jianguo Chen, Kenli Li, Philip S. Yu
2022	J	`jnl`	PyGOD: A Python Library for Graph Outlier Detection. CoRR Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu
2022	J	`jnl`	REBORN: Transfer learning based social network alignment. Inf. Sci. Shuai Gao, Zhongbao Zhang, Sen Su, Philip S. Yu
2022	J	`jnl`	Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. CoRR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2022	J	`jnl`	Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. ACM Trans. Inf. Syst. Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu
2022	J	`jnl`	Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations. IEEE ACM Trans. Audio Speech Lang. Process. Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
2022	J	`jnl`	Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention. IEEE Trans. Software Eng. Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, Guandong Xu
2022	A*	`conf`	Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. NeurIPS Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu
2022	J	`jnl`	Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. CoRR Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu
2022	J	`jnl`	Reverse Nearest Neighbor Search in Semantic Trajectories for Location-Based Services. IEEE Trans. Serv. Comput. Xiao Pan, Shili Nie, Haibo Hu, Philip S. Yu, Jingfeng Guo
2022	J	`jnl`	RumorDecay: Rumor Dissemination Interruption for Target Recipients in Social Networks. IEEE Trans. Syst. Man Cybern. Syst. Zhongyuan Jiang, Xianyu Chen, Jianfeng Ma, Philip S. Yu
2022	J	`jnl`	Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model. ACM Trans. Knowl. Discov. Data Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Yuanfa Li, Philip S. Yu
2022	B	`conf`	Scene Graph Modification as Incremental Structure Expanding. COLING Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu
2022	J	`jnl`	Scene Graph Modification as Incremental Structure Expanding. CoRR Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu
2022	J	`jnl`	Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. CoRR Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
2022	A*	`conf`	Sequential Recommendation via Stochastic Self-Attention. WWW Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2022	J	`jnl`	Sequential Recommendation via Stochastic Self-Attention. CoRR Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2022	B	`conf`	Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. IEEE Big Data Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu
2022	J	`jnl`	Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. CoRR Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu
2022	A*	`conf`	Shallow and Deep Non-IID Learning on Complex Data. KDD Longbing Cao, Philip S. Yu, Zhilin Zhao
2022	J	`jnl`	TaSPM: Targeted Sequential Pattern Mining. CoRR Gengsen Huang, Wensheng Gan, Philip S. Yu
2022	A*	`conf`	The 11th International Workshop on Urban Computing. KDD Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2022	A	`conf`	Time Lag Aware Sequential Recommendation. CIKM Lihua Chen, Ning Yang, Philip S. Yu
2022	J	`jnl`	Time Lag Aware Sequential Recommendation. CoRR Lihua Chen, Ning Yang, Philip S. Yu
2022	B	`conf`	Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. IEEE Big Data Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu
2022	J	`jnl`	Totally-ordered Sequential Rules for Utility Maximization. CoRR Chunkai Zhang, Maohua Lyu, Wensheng Gan, Philip S. Yu
2022	J	`jnl`	Towards Revenue Maximization with Popular and Profitable Products. CoRR Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu
2022	B	`conf`	Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. IEEE Big Data Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu
2022	J	`jnl`	Towards Sequence Utility Maximization under Utility Occupancy Measure. CoRR Gengsen Huang, Wensheng Gan, Philip S. Yu
2022	J	`jnl`	Towards Target Sequential Rules. CoRR Wensheng Gan, Gengsen Huang, Jian Weng, Tianlong Gu, Philip S. Yu
2022	J	`jnl`	Understanding WeChat User Preferences and "Wow" Diffusion. IEEE Trans. Knowl. Data Eng. Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu
2022	J	`jnl`	VideoDG: Generalizing Temporal Relations in Videos to Novel Domains. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyu Yao, Yunbo Wang, Jianmin Wang, Philip S. Yu, Mingsheng Long
2022	J	`jnl`	Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks. IEEE Trans. Cybern. Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu
2022	—	`conf`	XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction. NAACL-HLT (Findings) Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alejandro Jaimes, Hao Peng, Philip S. Yu
2022	J	`jnl`	XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction. CoRR Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alex Jaimes, Hao Peng, Philip S. Yu
2021	A*	`conf`	2nd International Workshop on Industrial Recommendation Systems (IRS). KDD Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu
2021	J	`jnl`	A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks. ACM Trans. Intell. Syst. Technol. Zhenchang Xia, Jia Wu, Libing Wu, Yanjiao Chen, Jian Yang, Philip S. Yu
2021	J	`jnl`	A Comprehensive Survey on Community Detection with Deep Learning. CoRR Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
2021	J	`jnl`	A Comprehensive Survey on Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
2021	J	`jnl`	A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution. IEEE Trans. Knowl. Data Eng. Jianguo Chen, Philip S. Yu
2021	J	`jnl`	A Robust and Generalized Framework for Adversarial Graph Embedding. CoRR Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He
2021	J	`jnl`	A Self-supervised Mixed-curvature Graph Neural Network. CoRR Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
2021	J	`jnl`	A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. CoRR Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang
2021	J	`jnl`	A Survey of Utility-Oriented Pattern Mining. IEEE Trans. Knowl. Data Eng. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu
2021	J	`jnl`	A fast diagonal distance metric learning approach for large-scale datasets. Inf. Sci. Tie Li, Gang Kou, Yi Peng, Philip S. Yu
2021	A*	`conf`	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. ICDM Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021	J	`jnl`	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. CoRR Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021	—	`conf`	AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern. DASFAA (2) Xiaokang Xu, Zhaohui Peng, Senzhang Wang, Shanshan Huang, Philip S. Yu, Zhenyun Hao, Jian Wang, Xue Wang
2021	J	`jnl`	Adaptively Weighted Multiview Proximity Learning for Clustering. IEEE Trans. Cybern. Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Suohai Fan, Philip S. Yu
2021	A*	`conf`	Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising. ICDM Wenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, Philip S. Yu, Xiaoqiang Zhu
2021	J	`jnl`	An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. CoRR Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
2021	J	`jnl`	An Introduction to Robust Graph Convolutional Networks. CoRR Mehrnaz Najafi, Philip S. Yu
2021	J	`jnl`	Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. CoRR Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu
2021	J	`jnl`	Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation. CoRR Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu
2021	—	`conf`	Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. EMNLP (Findings) Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu
2021	A*	`conf`	Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. SIGIR Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu
2021	J	`jnl`	Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. CoRR Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu
2021	J	`jnl`	BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism. CoRR Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
2021	J	`jnl`	Beyond Frequency: Utility Mining with Varied Item-specific Minimum Utility. ACM Trans. Internet Techn. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2021	A*	`conf`	BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining. ICDM Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu
2021	A	`conf`	Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Click-Through Rate Prediction with Multi-Modal Hypergraphs. CoRR Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Cognitive structure learning model for hierarchical multi-label text classification. Knowl. Based Syst. Boyan Wang, Xuegang Hu, Pei-Pei Li, Philip S. Yu
2021	J	`jnl`	Community Hiding by Link Perturbation in Social Networks. IEEE Trans. Comput. Soc. Syst. Xianyu Chen, Zhongyuan Jiang, Hui Li, Jianfeng Ma, Philip S. Yu
2021	A*	`conf`	ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. SIGIR Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
2021	J	`jnl`	ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. CoRR Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
2021	A	`conf`	Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CIKM Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021	J	`jnl`	Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CoRR Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021	J	`jnl`	Contrastive Self-supervised Sequential Recommendation with Robust Augmentation. CoRR Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian J. McAuley, Caiming Xiong
2021	—	`conf`	Cross-lingual COVID-19 Fake News Detection. ICDM (Workshops) Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
2021	J	`jnl`	Cross-lingual COVID-19 Fake News Detection. CoRR Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
2021	A	`conf`	CvS: Classification via Segmentation For Small Datasets. BMVC Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi
2021	J	`jnl`	CvS: Classification via Segmentation For Small Datasets. CoRR Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi
2021	A	`conf`	DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CIKM Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021	J	`jnl`	DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CoRR Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021	J	`jnl`	Data science and AI in FinTech: an overview. Int. J. Data Sci. Anal. Longbing Cao, Qiang Yang, Philip S. Yu
2021	J	`jnl`	Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
2021	—	`conf`	Deep Fraud Detection on Non-attributed Graph. IEEE BigData Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
2021	J	`jnl`	Deep Fraud Detection on Non-attributed Graph. CoRR Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
2021	J	`jnl`	Deep Learning Schema-based Event Extraction: Literature Review and Current Trends. CoRR Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu
2021	J	`jnl`	Deep graph similarity learning: a survey. Data Min. Knowl. Discov. Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
2021	J	`jnl`	Dense Hierarchical Retrieval for Open-Domain Question Answering. CoRR Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu
2021	—	`conf`	Dense Hierarchical Retrieval for Open-domain Question Answering. EMNLP (Findings) Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu
2021	J	`jnl`	Dismantling Networks by Skeleton Extraction and Greedy Tree Breaking. IEEE Access Xiaobin Rui, Fanrong Meng, Yahui Chai, Zhixiao Wang, Philip S. Yu
2021	J	`jnl`	Dual Adversarial Variational Embedding for Robust Recommendation. CoRR Qiaomin Yi, Ning Yang, Philip S. Yu
2021	J	`jnl`	Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems Using Multi-objective Reinforcement Learning. ACM Trans. Cyber Phys. Syst. Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng
2021	J	`jnl`	Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning. CoRR Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng
2021	J	`jnl`	Dynamic Graph Collaborative Filtering. CoRR Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu
2021	J	`jnl`	Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints. ACM Trans. Knowl. Discov. Data Yu Huang, Josh Jia-Ching Ying, Philip S. Yu, Vincent S. Tseng
2021	J	`jnl`	Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network. CoRR Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng
2021	J	`jnl`	Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network. ACM Trans. Intell. Syst. Technol. Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng
2021	A	`conf`	Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. EACL Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu
2021	J	`jnl`	Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. CoRR Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu
2021	J	`jnl`	Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities. CoRR Mehrnaz Najafi, Lifang He, Philip S. Yu
2021	J	`jnl`	Exploring Decomposition for Solving Pattern Mining Problems. ACM Trans. Manag. Inf. Syst. Youcef Djenouri, Jerry Chun-Wei Lin, Kjetil Nørvåg, Heri Ramampiaro, Philip S. Yu
2021	J	`jnl`	Fast Utility Mining on Sequence Data. IEEE Trans. Cybern. Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2021	J	`jnl`	Federated Social Recommendation with Graph Neural Network. CoRR Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
2021	—	`conf`	Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. EMNLP (1) Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
2021	J	`jnl`	Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. CoRR Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
2021	J	`jnl`	Finding Route Hotspots in Large Labeled Networks. IEEE Trans. Knowl. Data Eng. Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang
2021	A*	`conf`	From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. NeurIPS Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu
2021	J	`jnl`	From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. CoRR Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu
2021	J	`jnl`	Fused lasso for feature selection using structural information. Pattern Recognit. Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock
2021	—	`conf`	Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. EMNLP (1) Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
2021	J	`jnl`	Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. CoRR Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
2021	A*	`conf`	Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. IJCAI Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021	J	`jnl`	Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. CoRR Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021	A*	`conf`	Graph Learning based Recommender Systems: A Review. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
2021	J	`jnl`	Graph Learning based Recommender Systems: A Review. CoRR Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
2021	A*	`conf`	Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
2021	J	`jnl`	Graph Self-Supervised Learning: A Survey. CoRR Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu
2021	J	`jnl`	Graph Structure Learning with Variational Information Bottleneck. CoRR Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2021	A	`conf`	Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. CIKM Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun
2021	J	`jnl`	Group Reassignment for Dynamic Edge Partitioning. IEEE Trans. Parallel Distributed Syst. He Li, Hang Yuan, Jianbin Huang, Jiangtao Cui, Xiaoke Ma, Senzhang Wang, Jaesoo Yoo, Philip S. Yu
2021	—	`conf`	HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profiling. IEEE BigData Fuxin Ren, Zhongbao Zhang, Yang Yan, Zhi Wang, Sen Su, Philip S. Yu
2021	—	`conf`	HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. EMNLP (1) Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
2021	J	`jnl`	HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. CoRR Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
2021	—	`conf`	HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. NAACL-HLT Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
2021	J	`jnl`	HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. CoRR Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
2021	J	`jnl`	Heterogeneous Similarity Graph Neural Network on Electronic Health Records. CoRR Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu
2021	J	`jnl`	Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. Hao Peng, Jianxin Li, Senzhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Philip S. Yu, Lifang He
2021	J	`jnl`	Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. CoRR Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
2021	A*	`conf`	Highly Liquid Temporal Interaction Graph Embeddings. WWW Huidi Chen, Yun Xiong, Yangyong Zhu, Philip S. Yu
2021	A	`conf`	Hubness-aware User Identity Linkage. CIKM Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu
2021	A*	`conf`	Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. ICDM Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. CoRR Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu
2021	A	`conf`	Hyperbolic Hypergraphs for Sequential Recommendation. CIKM Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Hyperbolic Hypergraphs for Sequential Recommendation. CoRR Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu
2021	A*	`conf`	Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. AAAI Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu
2021	J	`jnl`	Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. CoRR Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu
2021	J	`jnl`	I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications. CoRR Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj Prabhakar Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, R. V. Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak
2021	—	`conf`	I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications. HEALTHINF Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj Prabhakar Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, R. V. Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak
2021	J	`jnl`	IEEE Access Special Section Editorial: Utility-Pattern Mining: Theoretical Analytics and Applications. IEEE Access Jerry Chun-Wei Lin, Philippe Fournier-Viger, Vincent S. Tseng, Philip S. Yu
2021	A	`conf`	Improving Chinese Character Representation with Formation Graph Attention Network. CIKM Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu
2021	—	`conf`	Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. NAACL-HLT Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
2021	J	`jnl`	Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. CoRR Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
2021	A*	`conf`	KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. AAAI Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
2021	—	`conf`	Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. IEEE BigData Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu
2021	J	`jnl`	Knowledge graph representation and reasoning. Neurocomputing Erik Cambria, Shaoxiong Ji, Shirui Pan, Philip S. Yu
2021	A*	`conf`	Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. WWW Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021	J	`jnl`	Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. CoRR Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021	J	`jnl`	Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning. IEEE Trans. Mob. Comput. Lichao Sun, Bokai Cao, Ji Wang, Witawas Srisa-an, Philip S. Yu, Alex D. Leow, Stephen Checkoway
2021	J	`jnl`	Localization of multiple diffusion sources based on overlapping community detection. Knowl. Based Syst. Zhixiao Wang, Chengcheng Sun, Xiaobin Rui, Philip S. Yu, Lichao Sun
2021	—	`conf`	MISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation. DASFAA (3) Xinyu Wen, Zhaohui Peng, Shanshan Huang, Senzhang Wang, Philip S. Yu
2021	A	`conf`	MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction. SDM Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu
2021	—	`conf`	MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports. IEEE BigData Shaika Chowdhury, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Philip S. Yu
2021	A*	`conf`	Medical Triage Chatbot Diagnosis Improvement via Multi-relational Hyperbolic Graph Neural Network. SIGIR Zheng Liu, Xiaohan Li, Zeyu You, Tao Yang, Wei Fan, Philip S. Yu
2021	J	`jnl`	MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types. IEEE Trans. Knowl. Data Eng. Linchuan Xu, Jing Wang, Lifang He, Jiannong Cao, Xiaokai Wei, Philip S. Yu, Kenji Yamanishi
2021	A*	`conf`	Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. WWW Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz
2021	A	`conf`	Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CIKM Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu
2021	J	`jnl`	Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CoRR Ziwei Fan, Zhiwei Liu, Lei Zheng, Shen Wang, Philip S. Yu
2021	J	`jnl`	Network Embedding With Completely-Imbalanced Labels. IEEE Trans. Knowl. Data Eng. Zheng Wang, Xiaojun Ye, Chaokun Wang, Jian Cui, Philip S. Yu
2021	A*	`conf`	Outlier-Robust Multi-View Subspace Clustering with Prior Constraints. ICDM Mehrnaz Najafi, Lifang He, Philip S. Yu
2021	—	`conf`	PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition. EMNLP (1) Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao
2021	—	`conf`	Pre-training Graph Neural Network for Cross Domain Recommendation. CogMI Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu
2021	J	`jnl`	Pre-training Graph Neural Network for Cross Domain Recommendation. CoRR Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu
2021	—	`conf`	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. IEEE BigData Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2021	J	`jnl`	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. CoRR Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2021	J	`jnl`	PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. CoRR Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2021	A*	`conf`	Pseudo Siamese Network for Few-shot Intent Generation. SIGIR Congying Xia, Caiming Xiong, Philip S. Yu
2021	J	`jnl`	Pseudo Siamese Network for Few-shot Intent Generation. CoRR Congying Xia, Caiming Xiong, Philip S. Yu
2021	A*	`conf`	Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. KDD Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu
2021	J	`jnl`	Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. CoRR Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu
2021	J	`jnl`	Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation. CoRR Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations. CoRR Qian Li, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
2021	A*	`conf`	SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. WWW Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2021	J	`jnl`	SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. CoRR Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2021	J	`jnl`	Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. CoRR Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu
2021	—	`conf`	Semi-supervised Relation Extraction via Incremental Meta Self-Training. EMNLP (Findings) Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu
2021	A	`conf`	Signature-Based Anomaly Detection in Networks. SDM Charu C. Aggarwal, Yao Li, Philip S. Yu
2021	J	`jnl`	Sketch-Based Streaming Anomaly Detection in Dynamic Graphs. CoRR Siddharth Bhatia, Mohit Wadhwa, Philip S. Yu, Bryan Hooi
2021	J	`jnl`	Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. Chang-Dong Wang, Man-Sheng Chen, Ling Huang, Jian-Huang Lai, Philip S. Yu
2021	J	`jnl`	Social Image Sentiment Analysis by Exploiting Multimodal Content and Heterogeneous Relations. IEEE Trans. Ind. Informatics Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu
2021	J	`jnl`	Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. CoRR Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Zonghan Wu, Cheng Wang, Philip S. Yu
2021	J	`jnl`	Stream Data Cleaning under Speed and Acceleration Constraints. ACM Trans. Database Syst. Shaoxu Song, Fei Gao, Aoqian Zhang, Jianmin Wang, Philip S. Yu
2021	J	`jnl`	Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. CoRR Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He
2021	J	`jnl`	Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He
2021	A*	`conf`	Structure-Aware Parameter-Free Group Query via Heterogeneous Information Network Transformer. ICDE Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Wang-Chien Lee, Chuan Shi, Philip S. Yu, Ming-Syan Chen
2021	J	`jnl`	TKUS: Mining top- Inf. Sci. Chunkai Zhang, Zilin Du, Wensheng Gan, Philip S. Yu
2021	J	`jnl`	TUSQ: Targeted High-Utility Sequence Querying. CoRR Chunkai Zhang, Zilin Du, Quanjian Dai, Wensheng Gan, Jian Weng, Philip S. Yu
2021	A	`conf`	Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition. ICME Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu
2021	A*	`conf`	The Third International TrueFact Workshop: Making a Credible Web for Tomorrow. KDD Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao
2021	J	`jnl`	Towards Revenue Maximization with Popular and Profitable Products. Trans. Data Sci. Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu
2021	J	`jnl`	Translational Concept Embedding for Generalized Compositional Zero-shot Learning. CoRR He Huang, Wei Tang, Jiawei Zhang, Philip S. Yu
2021	J	`jnl`	US-Rule: Discovering Utility-driven Sequential Rules. CoRR Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu
2021	J	`jnl`	Understanding WeChat User Preferences and "Wow" Diffusion. CoRR Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu
2021	A*	`conf`	User Preference-aware Fake News Detection. SIGIR Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2021	J	`jnl`	User Preference-aware Fake News Detection. CoRR Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2021	J	`jnl`	Utility Mining Across Multi-Dimensional Sequences. ACM Trans. Knowl. Discov. Data Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2021	J	`jnl`	Utility-driven Mining of Contiguous Sequences. CoRR Chunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng, Philip S. Yu
2020	A	`conf`	A Multi-Player Minimax Game for Generative Adversarial Networks. ICME Ying Jin, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu, Jiaguang Sun
2020	J	`jnl`	A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19. CoRR Jianguo Chen, Kenli Li, Zhaolei Zhang, Keqin Li, Philip S. Yu
2020	J	`jnl`	A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. CoRR Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
2020	J	`jnl`	A Survey on Knowledge Graphs: Representation, Acquisition and Applications. CoRR Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu
2020	J	`jnl`	A Survey on Text Classification: From Shallow to Deep Learning. CoRR Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
2020	J	`jnl`	A meta-feature based unified framework for both cold-start and warm-start explainable recommendations. World Wide Web Ning Yang, Yuchi Ma, Li Chen, Philip S. Yu
2020	J	`jnl`	Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. IEEE Trans. Neural Networks Learn. Syst. Jiayu Han, Lei Zheng, Yuanbo Xu, Bangzuo Zhang, Fuzhen Zhuang, Philip S. Yu, Wanli Zuo
2020	—	`conf`	Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score. ACCV (6) He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu
2020	J	`jnl`	Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score. CoRR He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu
2020	J	`jnl`	Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. CoRR Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong
2020	A*	`conf`	Adversarial Mutual Information Learning for Network Embedding. IJCAI Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu
2020	A*	`conf`	Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. SIGIR Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
2020	J	`jnl`	Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. CoRR Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
2020	A*	`conf`	Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. SIGIR Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020	J	`jnl`	Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. CoRR Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020	A	`conf`	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. SDM Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. CoRR Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	—	`conf`	Basket Recommendation with Multi-Intent Translation Graph Neural Network. IEEE BigData Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	Basket Recommendation with Multi-Intent Translation Graph Neural Network. CoRR Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	CAMAR: a broad learning based context-aware recommender for mobile applications. Knowl. Inf. Syst. Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Haochao Ying, Philip S. Yu, Jian Wu
2020	J	`jnl`	CDLFM: cross-domain recommendation for cold-start users via latent feature mapping. Knowl. Inf. Syst. Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaokang Xu, Xiaoguang Hong
2020	J	`jnl`	CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection. CoRR Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, Philip S. Yu
2020	—	`conf`	Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation. DASFAA (3) Yun Xiong, Shaofeng Xu, Keyao Rong, Xinyue Liu, Xiangnan Kong, Shanshan Li, Philip S. Yu, Yangyong Zhu
2020	B	`conf`	Commonsense Evidence Generation and Injection in Reading Comprehension. SIGdial Ye Liu, Tao Yang, Zeyu You, Wei Fan, Philip S. Yu
2020	J	`jnl`	Commonsense Evidence Generation and Injection in Reading Comprehension. CoRR Ye Liu, Tao Yang, Zeyu You, Wei Fan, Philip S. Yu
2020	—	`conf`	Composed Variational Natural Language Generation for Few-shot Intents. EMNLP (Findings) Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher
2020	J	`jnl`	Composed Variational Natural Language Generation for Few-shot Intents. CoRR Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher
2020	—	`conf`	Container Scheduling in Blockchain-based Cloud Service Platform. ISPA/BDCloud/SocialCom/SustainCom Yu Lei, Philip S. Yu
2020	B	`conf`	Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. ICPR Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020	J	`jnl`	Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. CoRR Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020	C	`ed.`	Data Science - 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, Revised Selected Papers ICDS Jing He, Philip S. Yu, Yong Shi, Xingsen Li, Zhijun Xie, Guangyan Huang, Jie Cao, Fu Xiao
2020	J	`jnl`	Deep Collaborative Embedding for information cascade prediction. CoRR Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu
2020	J	`jnl`	Deep Collaborative Embedding for information cascade prediction. Knowl. Based Syst. Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu
2020	A*	`conf`	Deep Learning for Community Detection: Progress, Challenges and Opportunities. IJCAI Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
2020	J	`jnl`	Deep Learning for Community Detection: Progress, Challenges and Opportunities. CoRR Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
2020	A	`conf`	DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction. ECAI Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang, Philip S. Yu
2020	J	`jnl`	Deoscillated Graph Collaborative Filtering. CoRR Zhiwei Liu, Lin Meng, Jiawei Zhang, Philip S. Yu
2020	J	`jnl`	Differential Advising in Multi-Agent Reinforcement Learning. CoRR Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
2020	J	`jnl`	Differentially Private Deep Learning with Smooth Sensitivity. CoRR Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong
2020	J	`jnl`	Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning. IEEE Trans. Cybern. Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2020	J	`jnl`	Differentially Private Multi-Agent Planning for Logistic-like Problems. CoRR Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
2020	J	`jnl`	Differentially private model publishing in cyber physical systems. Future Gener. Comput. Syst. Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu
2020	—	`conf`	Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. EMNLP (1) Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2020	J	`jnl`	Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. CoRR Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2020	—	`conf`	DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. EMNLP (Findings) Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2020	J	`jnl`	DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2020	A*	`conf`	Dynamic Graph Collaborative Filtering. ICDM Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu
2020	J	`jnl`	Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection. CoRR Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu
2020	J	`jnl`	Edge2vec: Edge-based Social Network Embedding. ACM Trans. Knowl. Discov. Data Changping Wang, Chaokun Wang, Zheng Wang, Xiaojun Ye, Philip S. Yu
2020	A	`conf`	Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. CIKM Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2020	J	`jnl`	Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. CoRR Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2020	A*	`conf`	Entity Synonym Discovery via Multipiece Bilateral Context Matching. IJCAI Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2020	J	`jnl`	Extracting diverse-shapelets for early classification on time series. World Wide Web Wenhe Yan, Guiling Li, Zongda Wu, Senzhang Wang, Philip S. Yu
2020	J	`jnl`	Fairness Constraints in Semi-supervised Learning. CoRR Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu
2020	J	`jnl`	Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination. CoRR Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
2020	A*	`conf`	FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network. ICDE Jiawei Zhang, Bowen Dong, Philip S. Yu
2020	—	`conf`	Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. *SEM@COLING Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2020	J	`jnl`	Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework. CoRR Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang, Philip S. Yu
2020	J	`jnl`	GCN for HIN via Implicit Utilization of Attention and Meta-paths. CoRR Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
2020	J	`jnl`	Generative temporal link prediction via self-tokenized sequence modeling. World Wide Web Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2020	J	`jnl`	Graph Learning Approaches to Recommender Systems: A Review. CoRR Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu
2020	—	`conf`	H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. EMNLP (1) Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu
2020	J	`jnl`	HUOPM: High-Utility Occupancy Pattern Mining. IEEE Trans. Cybern. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2020	—	`conf`	Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning. DASFAA (3) Jin Li, Zhaohui Peng, Senzhang Wang, Xiaokang Xu, Philip S. Yu, Zhenyun Hao
2020	—	`conf`	Heterogeneous Replicas for Multi-dimensional Data Management. DASFAA (1) Jialin Qiao, Yuyuan Kang, Xiangdong Huang, Lei Rui, Tian Jiang, Jianmin Wang, Philip S. Yu
2020	—	`conf`	Heterogeneous Similarity Graph Neural Network on Electronic Health Records. IEEE BigData Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu
2020	B	`conf`	Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. COLING Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
2020	J	`jnl`	Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. CoRR Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
2020	J	`jnl`	Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations. CoRR Huanrui Luo, Ning Yang, Philip S. Yu
2020	J	`jnl`	ICANE: interaction content-aware network embedding via co-embedding of nodes and edges. Int. J. Data Sci. Anal. Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2020	—	`conf`	Improving Medical NLI Using Context-Aware Domain Knowledge. *SEM@COLING Shaika Chowdhury, Philip S. Yu, Yuan Luo
2020	A	`conf`	Influence Maximization with Spontaneous User Adoption. WSDM Lichao Sun, Albert C. Chen, Philip S. Yu, Wei Chen
2020	J	`jnl`	Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering. CoRR Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu
2020	A*	`conf`	Joint Training Capsule Network for Cold Start Recommendation. SIGIR Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu
2020	J	`jnl`	Joint Training Capsule Network for Cold Start Recommendation. CoRR Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu
2020	—	`conf`	KASR: Knowledge-Aware Sequential Recommendation. APWeb/WAIM (1) Qingqin Wang, Yun Xiong, Yangyong Zhu, Philip S. Yu
2020	J	`jnl`	KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. CoRR Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
2020	J	`jnl`	LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. CoRR Lichao Sun, Jianwei Qian, Xun Chen, Philip S. Yu
2020	A*	`conf`	Learning Stable Graphs from Multiple Environments with Selection Bias. KDD Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu
2020	J	`jnl`	Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. CoRR Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He
2020	J	`jnl`	Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems. IEEE Trans. Knowl. Data Eng. Senzhang Wang, Hao Chen, Jiannong Cao, Jiawei Zhang, Philip S. Yu
2020	J	`jnl`	Logless one-phase commit made possible for highly-available datastores. Distributed Parallel Databases Yuqing Zhu, Philip S. Yu, Guolei Yi, Mengying Guo, Wenlong Ma, Jianxun Liu, Yungang Bao
2020	—	`conf`	Low-shot Learning in Natural Language Processing. CogMI Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng, Philip S. Yu
2020	—	`conf`	MLANE: Meta-Learning Based Adaptive Network Embedding. IEEE BigData Chen Cui, Ning Yang, Philip S. Yu
2020	J	`jnl`	MLANE: Meta-Learning Based Adaptive Network Embedding. CoRR Chen Cui, Ning Yang, Philip S. Yu
2020	J	`jnl`	MVStream: Multiview Data Stream Clustering. IEEE Trans. Neural Networks Learn. Syst. Ling Huang, Chang-Dong Wang, Hongyang Chao, Philip S. Yu
2020	B	`conf`	MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. COLING Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
2020	J	`jnl`	MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. CoRR Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
2020	—	`conf`	Med2Meta: Learning Representations of Medical Concepts with Meta-embeddings. HEALTHINF Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
2020	J	`jnl`	Mixture distribution modeling for scalable graph-based semi-supervised learning. Knowl. Based Syst. Zhi Li, Chaozhuo Li, Liqun Yang, Philip S. Yu, Zhoujun Li
2020	J	`jnl`	Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. CoRR Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
2020	B	`conf`	Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. COLING Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
2020	J	`jnl`	Modeling relation paths for knowledge base completion via joint adversarial training. Knowl. Based Syst. Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang
2020	J	`jnl`	More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. CoRR Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu
2020	A	`conf`	Multi-Task Learning of Generalizable Representations for Video Action Recognition. ICME Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu, Jiaguang Sun
2020	J	`jnl`	Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation. IEEE Trans. Multim. Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu
2020	—	`conf`	Multi-information Source HIN for Medical Concept Embedding. PAKDD (2) Yuwei Cao, Hao Peng, Philip S. Yu
2020	A	`conf`	Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge. BMVC He Huang, Wei Tang, Philip S. Yu, Yuanwei Chen, Wenhao Zheng, Qing-Guo Chen
2020	J	`jnl`	Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge. CoRR He Huang, Yuanwei Chen, Wei Tang, Wenhao Zheng, Qing-Guo Chen, Yao Hu, Philip S. Yu
2020	J	`jnl`	Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency. CoRR Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu
2020	J	`jnl`	Multi-view factorization machines for mobile app recommendation based on hierarchical attention. Knowl. Based Syst. Tingting Liang, Lei Zheng, Liang Chen, Yao Wan, Philip S. Yu, Jian Wu
2020	J	`jnl`	Mutual clustering on comparative texts via heterogeneous information networks. Knowl. Inf. Syst. Jianping Cao, Senzhang Wang, Danyan Wen, Zhaohui Peng, Philip S. Yu, Fei-Yue Wang
2020	J	`jnl`	NaturalCC: A Toolkit to Naturalize the Source Code Corpus. CoRR Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu
2020	J	`jnl`	Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization. IEEE Trans. Knowl. Data Eng. Linchuan Xu, Jiannong Cao, Xiaokai Wei, Philip S. Yu
2020	J	`jnl`	Network Embedding with Completely-imbalanced Labels. CoRR Zheng Wang, Xiaojun Ye, Chaokun Wang, Jian Cui, Philip S. Yu
2020	A	`conf`	On Supervised Change Detection in Graph Streams. SDM Charu C. Aggarwal, Yao Li, Philip S. Yu
2020	J	`jnl`	On-shelf Utility Mining of Sequence Data. CoRR Chunkai Zhang, Zilin Du, Yuting Yang, Wensheng Gan, Philip S. Yu
2020	J	`jnl`	Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping. CoRR Shao-Heng Ko, Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Wang-Chien Lee, Philip S. Yu
2020	J	`jnl`	Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping. Proc. VLDB Endow. Shao-Heng Ko, Hsu-Chao Lai, Hong-Han Shuai, Wang-Chien Lee, Philip S. Yu, De-Nian Yang
2020	A*	`conf`	Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. ICDM Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020	J	`jnl`	Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. CoRR Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020	A*	`conf`	Perfect: A Hyperbolic Embedding for Joint User and Community Alignment. ICDM Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu
2020	J	`jnl`	Privacy and Robustness in Federated Learning: Attacks and Defenses. CoRR Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
2020	J	`jnl`	ProUM: Projection-based utility mining on sequence data. Inf. Sci. Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Han-Chieh Chao, Hamido Fujita, Philip S. Yu
2020	C	`conf`	Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. ICMLA Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak
2020	J	`jnl`	Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. CoRR Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak
2020	A*	`conf`	Robust Spammer Detection by Nash Reinforcement Learning. KDD Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
2020	J	`jnl`	Robust Spammer Detection by Nash Reinforcement Learning. CoRR Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
2020	A*	`conf`	SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. KDD Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu
2020	—	`conf`	SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. EMNLP (1) Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu
2020	J	`jnl`	SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. CoRR Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu
2020	—	`conf`	Semantic Matching and Aggregation Network for Few-shot Intent Detection. EMNLP (Findings) Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu
2020	J	`jnl`	Semi-supervised Relation Extraction via Incremental Meta Self-Training. CoRR Xuming Hu, Fukun Ma, Chenyao Liu, Chenwei Zhang, Lijie Wen, Philip S. Yu
2020	J	`jnl`	Similarity-Based and Sybil Attack Defended Community Detection for Social Networks. IEEE Trans. Circuits Syst. Zhongyuan Jiang, Jing Li, Jianfeng Ma, Philip S. Yu
2020	J	`jnl`	Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting. Inf. Sci. Hao Peng, Hongfei Wang, Bowen Du, Md. Zakirul Alam Bhuiyan, Hongyuan Ma, Jianwei Liu, Lihong Wang, Zeyu Yang, Linfeng Du, Senzhang Wang, Philip S. Yu
2020	J	`jnl`	TKUS: Mining Top-K High-Utility Sequential Patterns. CoRR Chunkai Zhang, Zilin Du, Wensheng Gan, Philip S. Yu
2020	A*	`conf`	Target Privacy Preserving for Social Networks. ICDE Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen
2020	J	`jnl`	Target Privacy Preserving for Social Networks. CoRR Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen
2020	J	`jnl`	Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing (Technical Report). CoRR Aoqian Zhang, Shaoxu Song, Jianmin Wang, Philip S. Yu
2020	J	`jnl`	Trajectory-Based Community Detection. IEEE Trans. Circuits Syst. II Express Briefs Zhongyuan Jiang, Xianyu Chen, Bowen Dong, Junsan Zhang, Jibing Gong, Hui Yan, Zehua Zhang, Jianfeng Ma, Philip S. Yu
2020	B	`conf`	Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. COLING Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
2020	J	`jnl`	Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. CoRR Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
2020	B	`conf`	User Memory Reasoning for Conversational Recommendation. COLING Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Philip S. Yu
2020	J	`jnl`	User Memory Reasoning for Conversational Recommendation. CoRR Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu
2020	J	`jnl`	Utility Mining across Multi-Sequences with Individualized Thresholds. Trans. Data Sci. Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philip S. Yu
2020	J	`jnl`	Utility-Driven Data Analytics on Uncertain Data. IEEE Syst. J. Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Athanasios V. Vasilakos, Philip S. Yu
2020	J	`jnl`	Utility-Driven Mining of Trend Information for Intelligent System. ACM Trans. Manag. Inf. Syst. Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philippe Fournier-Viger, Xuan Wang, Philip S. Yu
2019	J	`jnl`	A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks. IEEE Trans. Parallel Distributed Syst. Jianguo Chen, Kenli Li, Kashif Bilal, Xu Zhou, Keqin Li, Philip S. Yu
2019	J	`jnl`	A Comprehensive Survey on Graph Neural Networks. CoRR Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
2019	J	`jnl`	A Domain Adaptive Density Clustering Algorithm for Data with Varying Density Distribution. CoRR Jianguo Chen, Philip S. Yu
2019	J	`jnl`	A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	J	`jnl`	A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering. IEEE Access Ling Huang, Chang-Dong Wang, Hong-Yang Chao, Jian-Huang Lai, Philip S. Yu
2019	J	`jnl`	A Survey of Parallel Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2019	J	`jnl`	A periodicity-based parallel time series prediction algorithm in cloud computing environments. Inf. Sci. Jianguo Chen, Kenli Li, Huigui Rong, Kashif Bilal, Keqin Li, Philip S. Yu
2019	J	`jnl`	Adversarial Defense Framework for Graph Neural Network. CoRR Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu
2019	A*	`conf`	Adversarial Learning for Weakly-Supervised Social Network Alignment. AAAI Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li
2019	J	`jnl`	Adversarial learning for multi-view network embedding on incomplete graphs. Knowl. Based Syst. Chaozhuo Li, Senzhang Wang, Dejian Yang, Philip S. Yu, Yanbo Liang, Zhoujun Li
2019	J	`jnl`	An Attention-augmented Deep Architecture for Hard Drive Status Monitoring in Large-scale Storage Systems. ACM Trans. Storage Ji Wang, Weidong Bao, Lei Zheng, Xiaomin Zhu, Philip S. Yu
2019	J	`jnl`	An unsupervised parameter learning model for RVFL neural network. Neural Networks Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu
2019	A	`conf`	Applying Differential Privacy Mechanism in Artificial Intelligence. ICDCS Tianqing Zhu, Philip S. Yu
2019	—	`conf`	Attention-Based Abnormal-Aware Fusion Network for Radiology Report Generation. DASFAA (3) Xiancheng Xie, Yun Xiong, Philip S. Yu, Kangan Li, Suhua Zhang, Yangyong Zhu
2019	A	`conf`	Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. SDM Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2019	—	`conf`	BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. NAACL-HLT (1) Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	J	`jnl`	BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	J	`jnl`	Beyond Frequency: Utility Mining with Varied Item-Specific Minimum Utility. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2019	—	`book`	Broad Learning Through Fusions - An Application on Social Networks Jiawei Zhang, Philip S. Yu
2019	J	`jnl`	Classification, Denoising, and Deinterleaving of Pulse Streams With Recurrent Neural Networks. IEEE Trans. Aerosp. Electron. Syst. Zhang-Meng Liu, Philip S. Yu
2019	J	`jnl`	Cloud Service Community Detection for Real-World Service Networks Based on Parallel Graph Computing. IEEE Access Yu Lei, Philip S. Yu
2019	J	`jnl`	Community detection using multilayer edge mixture model. Knowl. Inf. Syst. Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2019	—	`conf`	Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. IEEE BigData Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2019	J	`jnl`	Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. CoRR Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2019	J	`jnl`	Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. CoRR Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu
2019	A*	`conf`	Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu
2019	J	`jnl`	Correlated Utility-based Pattern Mining. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Hamido Fujita, Philip S. Yu
2019	J	`jnl`	Correlated utility-based pattern mining. Inf. Sci. Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Hamido Fujita, Philip S. Yu
2019	J	`jnl`	Coupled Tensor Decomposition for User Clustering in Mobile Internet Traffic Interaction Pattern. IEEE Access Ke Yu, Lifang He, Philip S. Yu, Wenkai Zhang, Yue Liu
2019	—	`conf`	DNA: Dynamic Social Network Alignment. IEEE BigData Li Sun, Zhongbao Zhang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu
2019	J	`jnl`	DNA: Dynamic Social Network Alignment. CoRR Li Sun, Zhongbao Zhang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu
2019	J	`jnl`	Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. CoRR Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
2019	—	`conf`	Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks. IEEE BigData Jiawei Zhang, Bowen Dong, Philip S. Yu
2019	A*	`conf`	Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. SIGIR Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
2019	A	`conf`	Deep Graph Similarity Learning for Brain Data Analysis. CIKM Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
2019	J	`jnl`	Deep Graph Similarity Learning: A Survey. CoRR Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
2019	—	`conf`	Deep Heterogeneous Social Network Alignment. CogMI Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye, Philip S. Yu
2019	J	`jnl`	Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems. Inf. Sci. Jiayu Han, Lei Zheng, He Huang, Yuanbo Xu, Philip S. Yu, Wanli Zuo
2019	J	`jnl`	Deep Learning for Spatio-Temporal Data Mining: A Survey. CoRR Senzhang Wang, Jiannong Cao, Philip S. Yu
2019	Misc	`conf`	Deep Multi-Task Learning for Interpretable Glaucoma Detection. IRI Nooshin Mojab, Vahid Noroozi, Philip S. Yu, Joelle A. Hallak
2019	—	`conf`	DeepBlue: Bi-layered LSTM for tweet popUlarity Estimation. IEEE BigData Jian Wen, Zhongbao Zhang, Zichang Yin, Li Sun, Sen Su, Philip S. Yu
2019	A*	`conf`	DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. AAAI Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2019	J	`jnl`	DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. CoRR Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2019	J	`jnl`	Discovering High Utility Episodes in Sequences. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philip S. Yu
2019	J	`jnl`	Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing. CoRR Jianguo Chen, Kenli Li, Qingying Deng, Keqin Li, Philip S. Yu
2019	—	`conf`	DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks. DASFAA (1) Yun Xiong, Yao Zhang, Hanjie Fu, Wei Wang, Yangyong Zhu, Philip S. Yu
2019	A	`conf`	EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation. CIKM Xiancheng Xie, Yun Xiong, Philip S. Yu, Yangyong Zhu
2019	J	`jnl`	Efficient Traffic Estimation With Multi-Sourced Data by Parallel Coupled Hidden Markov Model. IEEE Trans. Intell. Transp. Syst. Senzhang Wang, Xiaoming Zhang, Fengxiang Li, Philip S. Yu, Zhiqiu Huang
2019	J	`jnl`	Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data. Knowl. Inf. Syst. Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu
2019	J	`jnl`	Explainable recommendation with fusion of aspect information. World Wide Web Yunfeng Hou, Ning Yang, Yi Wu, Philip S. Yu
2019	J	`jnl`	Fast Utility Mining on Complex Sequences. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2019	J	`jnl`	Feature Selection via Transferring Knowledge Across Different Classes. ACM Trans. Knowl. Discov. Data Zheng Wang, Xiaojun Ye, Chaokun Wang, Philip S. Yu
2019	J	`jnl`	Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. CoRR Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2019	J	`jnl`	Finding Route Hotspots in Large Labeled Networks. CoRR Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang
2019	A*	`conf`	Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. IJCAI Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu
2019	J	`jnl`	Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. CoRR Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu
2019	A*	`conf`	From Joint Feature Selection and Self-Representation Learning to Robust Multi-view Subspace Clustering. ICDM Hui Yan, Siyu Liu, Philip S. Yu
2019	A*	`conf`	Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. SIGIR Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
2019	A*	`conf`	Generative Dual Adversarial Network for Generalized Zero-Shot Learning. CVPR He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang
2019	A	`conf`	Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CIKM Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2019	J	`jnl`	Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CoRR Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2019	J	`jnl`	Generative Temporal Link Prediction via Self-tokenized Sequence Modeling. CoRR Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2019	A*	`conf`	Heterogeneous Graph Attention Network. WWW Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu
2019	J	`jnl`	Heterogeneous Graph Attention Network. CoRR Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye
2019	A*	`conf`	Heterogeneous Graph Matching Networks for Unknown Malware Detection. IJCAI Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019	J	`jnl`	Heterogeneous Graph Matching Networks. CoRR Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019	—	`conf`	Heterogeneous Graph Matching Networks: Application to Unknown Malware Detection. IEEE BigData Shen Wang, Philip S. Yu
2019	J	`jnl`	Heterogeneous Information Network Embedding for Recommendation. IEEE Trans. Knowl. Data Eng. Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu
2019	J	`jnl`	Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction. CoRR Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
2019	J	`jnl`	Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. CoRR Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu
2019	—	`conf`	How to Reach: Discovering Multi-resolution Paths on Large Scale Networks. APWeb/WAIM (1) Zhaokun Zhang, Ning Yang, Philip S. Yu
2019	—	`conf`	Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations. IEEE BigData Huanrui Luo, Ning Yang, Philip S. Yu
2019	J	`jnl`	IAD: Interaction-Aware Diffusion Framework in Social Networks. IEEE Trans. Knowl. Data Eng. Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu
2019	J	`jnl`	Improved Consistent Weighted Sampling Revisited. IEEE Trans. Knowl. Data Eng. Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
2019	J	`jnl`	Info-Trust: A Multi-Criteria and Adaptive Trustworthiness Calculation Mechanism for Information Sources. IEEE Access Yali Gao, Xiaoyong Li, Jirui Li, Yunquan Gao, Philip S. Yu
2019	J	`jnl`	Integrated anchor and social link predictions across multiple social networks. Knowl. Inf. Syst. Qianyi Zhan, Jiawei Zhang, Philip S. Yu
2019	—	`conf`	Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias. PAKDD (1) Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu
2019	J	`jnl`	Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining. Int. J. Data Sci. Anal. Jesse Read, Albert Bifet, Wei Fan, Qiang Yang, Philip S. Yu
2019	—	`conf`	JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. IEEE BigData Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu
2019	J	`jnl`	JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. CoRR Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu
2019	—	`conf`	Joint Slot Filling and Intent Detection via Capsule Neural Networks. ACL (1) Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2019	C	`conf`	Leveraging Semi-Supervised Learning for Fairness using Neural Networks. ICMLA Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu
2019	J	`jnl`	Leveraging Semi-Supervised Learning for Fairness using Neural Networks. CoRR Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu
2019	B	`conf`	MARS: Memory Attention-Aware Recommender System. DSAA Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
2019	—	`conf`	MC IEEE BigData Gen Li, Li Sun, Zhongbao Zhang, Pengxin Ji, Sen Su, Philip S. Yu
2019	A*	`conf`	Maximum-Margin Hamming Hashing. ICCV Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2019	J	`jnl`	Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings. CoRR Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
2019	A*	`conf`	Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics. CVPR Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu
2019	—	`conf`	Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. IEEE BigData Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu
2019	—	`conf`	Metapath Enhanced Graph Attention Encoder for HINs Representation Learning. IEEE BigData Yuwei Fu, Yun Xiong, Philip S. Yu, Tianyi Tao, Yangyong Zhu
2019	C	`conf`	Mining Emerging High Utility Itemsets over Streaming Database. ADMA Acquah Hackman, Yu Huang, Philip S. Yu, Vincent S. Tseng
2019	J	`jnl`	Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning. IEEE Access Hechang Chen, Bo Yang, Jiming Liu, Xiao-Nong Zhou, Philip S. Yu
2019	B	`conf`	Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries. IJCNN Bowen Dong, Jiawei Zhang, Chenwei Zhang, Yang Yang, Philip S. Yu
2019	J	`jnl`	Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries. CoRR Jiawei Zhang, Chenwei Zhang, Bowen Dong, Yang Yang, Philip S. Yu
2019	J	`jnl`	Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare. CoRR Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
2019	J	`jnl`	Multi-Grained Named Entity Recognition. CoRR Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019	A	`conf`	Multi-Hot Compact Network Embedding. CIKM Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li
2019	J	`jnl`	Multi-Hot Compact Network Embedding. CoRR Chaozhuo Li, Senzhang Wang, Philip S. Yu, Zhoujun Li
2019	J	`jnl`	Multi-Modal Attention Network Learning for Semantic Source Code Retrieval. CoRR Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu
2019	—	`conf`	Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. NAACL-HLT (2) Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu
2019	J	`jnl`	Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. CoRR Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu
2019	J	`jnl`	Multi-View Fusion with Extreme Learning Machine for Clustering. ACM Trans. Intell. Syst. Technol. Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu
2019	—	`conf`	Multi-grained Named Entity Recognition. ACL (1) Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019	A*	`conf`	Multi-modal Attention Network Learning for Semantic Source Code Retrieval. ASE Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu
2019	J	`jnl`	Multi-task network embedding. Int. J. Data Sci. Anal. Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2019	J	`jnl`	Multi-view collective tensor decomposition for cross-modal hashing. Int. J. Multim. Inf. Retr. Limeng Cui, Jiawei Zhang, Lifang He, Philip S. Yu
2019	J	`jnl`	Mutual Clustering on Comparative Texts via Heterogeneous Information Networks. CoRR Jianping Cao, Senzhang Wang, Danyan Wen, Zhaohui Peng, Philip S. Yu, Fei-Yue Wang
2019	A*	`conf`	Open-world Learning and Application to Product Classification. WWW Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	A*	`conf`	Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization. IJCAI Mehrnaz Najafi, Lifang He, Philip S. Yu
2019	A	`conf`	Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. CIKM Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang
2019	A*	`conf`	Private Model Compression via Knowledge Distillation. AAAI Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2019	B	`conf`	ProUM: High Utility Sequential Pattern Mining. SMC Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Han-Chieh Chao, Hamido Fujita, Philip S. Yu
2019	J	`jnl`	ProUM: Projection-based Utility Mining on Sequence Data. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Han-Chieh Chao, Hamido Fujita, Philip S. Yu
2019	A	`conf`	Recent Developments of Deep Heterogeneous Information Network Analysis. CIKM Chuan Shi, Philip S. Yu
2019	J	`jnl`	Review Conversational Reading Comprehension. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	J	`jnl`	Self-Activation Influence Maximization. CoRR Lichao Sun, Albert C. Chen, Philip S. Yu, Wei Chen
2019	J	`jnl`	SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks. World Wide Web Chuan Shi, Zhiqiang Zhang, Yugang Ji, Weipeng Wang, Philip S. Yu, Zhiping Shi
2019	J	`jnl`	Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering. IEEE Trans. Cybern. Chang-Dong Wang, Zhi-Hong Deng, Jian-Huang Lai, Philip S. Yu
2019	A	`conf`	Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization. CIKM Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Jiun-Long Huang, Wang-Chien Lee, Philip S. Yu
2019	J	`jnl`	Spatiotemporal Pyramid Network for Video Action Recognition. CoRR Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu
2019	J	`jnl`	SynonymNet: Multi-context Bilateral Matching for Entity Synonyms. CoRR Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2019	A	`conf`	Temporal Network Embedding with Micro- and Macro-dynamics. CIKM Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
2019	J	`jnl`	Temporal Network Embedding with Micro- and Macro-dynamics. CoRR Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
2019	—	`conf`	The Link Regression Problem in Graph Streams. IEEE BigData Bowen Dong, Charu C. Aggarwal, Philip S. Yu
2019	B	`conf`	Transfer Learning for Network Classification. IJCNN Bowen Dong, Charu C. Aggarwal, Philip S. Yu
2019	J	`jnl`	Uncovering Download Fraud Activities in Mobile App Markets. CoRR Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
2019	B	`conf`	Uncovering download fraud activities in mobile app markets. ASONAM Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
2019	—	`conf`	Understanding Information Diffusion via Heterogeneous Information Network Embeddings. DASFAA (1) Yuan Su, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, Philip S. Yu
2019	J	`jnl`	Utility Mining Across Multi-Dimensional Sequences. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2019	J	`jnl`	Utility Mining Across Multi-Sequences with Individualized Thresholds. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philip S. Yu
2019	—	`conf`	Utility-Driven Mining of High Utility Episodes. IEEE BigData Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philip S. Yu
2019	J	`jnl`	Utility-Driven Mining of Trend Information for Intelligent System. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philippe Fournier-Viger, Xuan Wang, Philip S. Yu
2019	J	`jnl`	Utility-driven Data Analytics on Uncertain Data. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Athanasios V. Vasilakos, Philip S. Yu
2019	J	`jnl`	Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks. PLoS Comput. Biol. Ahmed A. Metwally, Philip S. Yu, Derek Reiman, Yang Dai, Patricia W. Finn, David L. Perkins
2019	A	`conf`	Video-level Multi-model Fusion for Action Recognition. CIKM Xiaomin Wang, Junsan Zhang, Leiquan Wang, Philip S. Yu, Jie Zhu, Haisheng Li
2019	—	`conf`	Virtual Adversarial Training for Semi-supervised Verification Tasks. EUSIPCO Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Philip S. Yu
2019	—	`conf`	Walk2Privacy: Limiting target link privacy disclosure against the adversarial link prediction. IEEE BigData Zhongyuan Jiang, Jianfeng Ma, Philip S. Yu
2019	J	`jnl`	WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection. CoRR Binhang Yuan, Chen Wang, Fei Jiang, Mingsheng Long, Philip S. Yu, Yuan Liu
2019	A	`conf`	Z-Order Recurrent Neural Networks for Video Prediction. ICME Jianjin Zhang, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	J	`jnl`	A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks. CoRR Jianguo Chen, Kenli Li, Kashif Bilal, Xu Zhou, Keqin Li, Philip S. Yu
2018	J	`jnl`	A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining. IEEE Trans. Knowl. Data Eng. Hong-Han Shuai, Chih-Ya Shen, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2018	J	`jnl`	A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments. CoRR Jianguo Chen, Kenli Li, Huigui Rong, Kashif Bilal, Keqin Li, Philip S. Yu
2018	J	`jnl`	A Self-Organizing Tensor Architecture for Multi-View Clustering. CoRR Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang
2018	A*	`conf`	A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang
2018	J	`jnl`	A Survey of Parallel Sequential Pattern Mining. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2018	J	`jnl`	A Survey of Utility-Oriented Pattern Mining. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu
2018	J	`jnl`	A topic model for co-occurring normal documents and short texts. World Wide Web Yang Yang, Feifei Wang, Junni Zhang, Jin Xu, Philip S. Yu
2018	A*	`conf`	Active Opinion Maximization in Social Networks. KDD Xinyue Liu, Xiangnan Kong, Philip S. Yu
2018	J	`jnl`	Adversarial Attack and Defense on Graph Data: A Survey. CoRR Lichao Sun, Ji Wang, Philip S. Yu, Bo Li
2018	J	`jnl`	An Introduction to Image Synthesis with Generative Adversarial Nets. CoRR He Huang, Philip S. Yu, Changhu Wang
2018	A*	`conf`	Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. IJCAI Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song
2018	—	`ch.`	Association Rule Mining on Streams. Encyclopedia of Database Systems (2nd ed.) Philip S. Yu, Yun Chi
2018	J	`jnl`	Broad Learning: : An Emerging Area in Social Network Analysis. SIGKDD Explor. Jiawei Zhang, Philip S. Yu
2018	—	`conf`	CoUPM: Correlated Utility-based Pattern Mining. IEEE BigData Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Tzung-Pei Hong, Philip S. Yu
2018	—	`conf`	Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping. DASFAA (1) Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaoguang Hong
2018	J	`jnl`	Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping. CoRR Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaoguang Hong
2018	—	`ch.`	Cross-Platform Social Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Jiawei Zhang, Philip S. Yu
2018	—	`conf`	Data-driven Blockbuster Planning on Online Movie Knowledge Library. IEEE BigData Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu
2018	J	`jnl`	Data-driven Blockbuster Planning on Online Movie Knowledge Library. CoRR Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu
2018	—	`conf`	Deep Co-Investment Network Learning for Financial Assets. ICBK Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018	J	`jnl`	Deep Co-investment Network Learning for Financial Assets. CoRR Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018	J	`jnl`	Deep Dynamic Network Embedding for Link Prediction. IEEE Access Taisong Li, Jiawei Zhang, Philip S. Yu, Yan Zhang, Yonghong Yan
2018	J	`jnl`	Deep Learning Towards Mobile Applications. CoRR Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu
2018	A	`conf`	Deep Learning towards Mobile Applications. ICDCS Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu
2018	A*	`conf`	Deep Priority Hashing. ACM Multimedia Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	J	`jnl`	Deep Priority Hashing. CoRR Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	J	`jnl`	Deep Program Reidentification: A Graph Neural Network Solution. CoRR Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2018	A*	`conf`	Deep Recursive Network Embedding with Regular Equivalence. KDD Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu
2018	A	`conf`	DeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps. CIKM Sara Amini, Vahid Noroozi, Amit Pande, Satyajit Gupte, Philip S. Yu, Chris Kanich
2018	—	`conf`	DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors. IEEE BigData Sara Amini, Vahid Noroozi, Sara Bahaadini, Philip S. Yu, Chris Kanich
2018	J	`jnl`	DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. CoRR Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow
2018	A	`conf`	Distribution Distance Minimization for Unsupervised User Identity Linkage. CIKM Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang
2018	—	`conf`	Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. ACL (2) Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	J	`jnl`	Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	A*	`conf`	Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. AAAI Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2018	J	`jnl`	Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series. IEEE Trans. Big Data Weiwei Shi, Yongxin Zhu, Philip S. Yu, Jiawei Zhang, Tian Huang, Chang Wang, Yufeng Chen
2018	A*	`conf`	Efficient Computation of G-Skyline Groups (Extended Abstract). ICDE Changping Wang, Chaokun Wang, Gaoyang Guo, Xiaojun Ye, Philip S. Yu
2018	J	`jnl`	Efficient Computation of G-Skyline Groups. IEEE Trans. Knowl. Data Eng. Changping Wang, Chaokun Wang, Gaoyang Guo, Xiaojun Ye, Philip S. Yu
2018	J	`jnl`	Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data. CoRR Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu
2018	J	`jnl`	Error-Robust Multi-View Clustering. CoRR Mehrnaz Najafi, Lifang He, Philip S. Yu
2018	A*	`conf`	FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. ICDM Fei Jiang, Lei Zheng, Jin Xu, Philip S. Yu
2018	J	`jnl`	FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. CoRR Fei Jiang, Lei Zheng, Jin Xu, Philip S. Yu
2018	J	`jnl`	Generative Dual Adversarial Network for Generalized Zero-shot Learning. CoRR He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang
2018	—	`ch.`	Graph Classification in Heterogeneous Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Xiangnan Kong, Philip S. Yu
2018	J	`jnl`	HUOPM: High Utility Occupancy Pattern Mining. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2018	A	`conf`	Heterogeneous Neural Attentive Factorization Machine for Rating Prediction. CIKM Liang Chen, Yang Liu, Zibin Zheng, Philip S. Yu
2018	—	`conf`	Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training. IEEE BigData Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, Philip S. Yu
2018	J	`jnl`	Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training. CoRR Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, Philip S. Yu
2018	J	`jnl`	Improving Automatic Source Code Summarization via Deep Reinforcement Learning. CoRR Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu
2018	J	`jnl`	Improving Stock Market Prediction via Heterogeneous Information Fusion. CoRR Xi Zhang, Yunjia Zhang, Senzhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu
2018	A*	`conf`	Improving automatic source code summarization via deep reinforcement learning. ASE Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu
2018	J	`jnl`	Improving stock market prediction via heterogeneous information fusion. Knowl. Based Syst. Xi Zhang, Yunjia Zhang, Senzhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu
2018	—	`conf`	Insert beyond the traffic sign recognition: constructing an auto-pilot map for autonomous vehicles. SIGSPATIAL/GIS Zhenhua Zhang, Leon Stenneth, Ram Marappan, Zaba Sebastian, Philip S. Yu
2018	—	`conf`	Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges. PAKDD (2) Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2018	—	`conf`	Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. ICBK Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
2018	J	`jnl`	Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. CoRR Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
2018	J	`jnl`	Joint Slot Filling and Intent Detection via Capsule Neural Networks. CoRR Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2018	A*	`conf`	Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. ICDM Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu
2018	J	`jnl`	Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. CoRR Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu
2018	A*	`conf`	Learning from Multi-View Multi-Way Data via Structural Factorization Machines. WWW Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu
2018	J	`jnl`	Learning to Accept New Classes without Training. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	A*	`conf`	Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model. KDD Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu
2018	A*	`conf`	Lifelong Domain Word Embedding via Meta-Learning. IJCAI Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	J	`jnl`	Lifelong Domain Word Embedding via Meta-Learning. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	J	`jnl`	LoPub: High-Dimensional Crowdsourced Data Publication With Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. Xuebin Ren, Chia-Mu Yu, Weiren Yu, Shusen Yang, Xinyu Yang, Julie A. McCann, Philip S. Yu
2018	J	`jnl`	MARS: Memory Attention-Aware Recommender System. CoRR Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu
2018	J	`jnl`	MFPR: A Personalized Ranking Recommendation with Multiple Feedback. ACM Trans. Soc. Comput. Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, Philip S. Yu
2018	—	`conf`	Market Abnormality Period Detection via Co-movement Attention Model. IEEE BigData Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018	J	`jnl`	Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics. CoRR Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	J	`jnl`	Multi-Round Influence Maximization (Extended Version). CoRR Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
2018	A*	`conf`	Multi-Round Influence Maximization. KDD Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
2018	A*	`conf`	Multi-Task Pharmacovigilance Mining from Social Media Posts. WWW Shaika Chowdhury, Chenwei Zhang, Philip S. Yu
2018	J	`jnl`	Multi-Task Pharmacovigilance Mining from Social Media Posts. CoRR Shaika Chowdhury, Chenwei Zhang, Philip S. Yu
2018	B	`conf`	Multi-View Fusion Through Cross-Modal Retrieval. ICIP Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu
2018	A*	`conf`	Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. AAAI Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
2018	J	`jnl`	Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. CoRR Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
2018	B	`conf`	Multi-view Collective Tensor Decomposition for Cross-modal Hashing. ICMR Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu
2018	J	`jnl`	Multiple Structure-View Learning for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2018	A	`conf`	Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions. CIKM Hong-Han Shuai, Yen-Chieh Lien, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu
2018	—	`conf`	Next Generation Trustworthy Fraud Detection. CIC Sihong Xie, Philip S. Yu
2018	A*	`conf`	Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. KDD Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018	J	`jnl`	Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. CoRR Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018	A*	`conf`	On Exploring Semantic Meanings of Links for Embedding Social Networks. WWW Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2018	B	`conf`	On Learning Community-specific Similarity Metrics for Cold-start Link Prediction. IJCNN Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2018	A	`conf`	On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph Approximation. SDM Fei Jiang, Lifang He, Yi Zheng, Enqiang Zhu, Jin Xu, Philip S. Yu
2018	J	`jnl`	On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph Approximation. CoRR Fei Jiang, Lifang He, Yi Zheng, Enqiang Zhu, Jin Xu, Philip S. Yu
2018	A*	`conf`	On the Generative Discovery of Structured Medical Knowledge. KDD Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2018	—	`conf`	PER: A Probabilistic Attentional Model for Personalized Text Recommendations. IEEE BigData Lei Zheng, Yixue Wang, Lifang He, Sihong Xie, Fengjiao Wang, Philip S. Yu
2018	J	`jnl`	Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning. CoRR Jianguo Chen, Kenli Li, Kashif Bilal, Ahmed A. Metwally, Keqin Li, Philip S. Yu
2018	A*	`conf`	PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning. ICML Yunbo Wang, Zhifeng Gao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	J	`jnl`	PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning. CoRR Yunbo Wang, Zhifeng Gao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	—	`conf`	Privacy Preserving Utility Mining: A Survey. IEEE BigData Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Shyue-Liang Wang, Philip S. Yu
2018	J	`jnl`	Privacy Preserving Utility Mining: A Survey. CoRR Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Shyue-Liang Wang, Philip S. Yu
2018	J	`jnl`	Private Model Compression via Knowledge Distillation. CoRR Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018	J	`jnl`	Product Title Refinement via Multi-Modal Generative Adversarial Learning. CoRR Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu
2018	J	`jnl`	QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee. IEEE Trans. Big Data Hong-Han Shuai, De-Nian Yang, Chih-Ya Shen, Philip S. Yu, Ming-Syan Chen
2018	—	`conf`	Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data. APWeb/WAIM (1) Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li, Yuanfu Lu
2018	A	`conf`	Revenue Maximization on the Multi-grade Product. SDM Ya-Wen Teng, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen
2018	J	`jnl`	Reversing Two-Stream Networks with Decoding Discrepancy Penalty for Robust Action Recognition. CoRR Yunbo Wang, Zhiyu Yao, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	A*	`conf`	SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion. ICDM Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, Zhoujun Li
2018	—	`conf`	Securing Behavior-based Opinion Spam Detection. IEEE BigData Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu
2018	J	`jnl`	Securing Behavior-based Opinion Spam Detection. CoRR Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu
2018	—	`conf`	Semi-supervised Deep Representation Learning for Multi-View Problems. IEEE BigData Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
2018	J	`jnl`	Semi-supervised Deep Representation Learning for Multi-View Problems. CoRR Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
2018	J	`jnl`	Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
2018	J	`jnl`	Spectral Collaborative Filtering. CoRR Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu
2018	A	`conf`	Spectral collaborative filtering. RecSys Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu
2018	J	`jnl`	Stock Market Prediction via Multi-Source Multiple Instance Learning. IEEE Access Xi Zhang, Siyu Qu, Jieyun Huang, Binxing Fang, Philip S. Yu
2018	A*	`conf`	Stratified Transfer Learning for Cross-domain Activity Recognition. PerCom Jindong Wang, Yiqiang Chen, Lisha Hu, Xiaohui Peng, Philip S. Yu
2018	J	`jnl`	Stratified Transfer Learning for Cross-domain Activity Recognition. CoRR Jindong Wang, Yiqiang Chen, Lisha Hu, Xiaohui Peng, Philip S. Yu
2018	J	`jnl`	TI-CNN: Convolutional Neural Networks for Fake News Detection. CoRR Yang Yang, Lei Zheng, Jiawei Zhang, Qingcai Cui, Zhoujun Li, Philip S. Yu
2018	J	`jnl`	Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach. CoRR Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu
2018	J	`jnl`	Unsupervised Meta-path Reduction on Heterogeneous Information Networks. CoRR Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu
2018	A*	`conf`	Visual Domain Adaptation with Manifold Embedded Distribution Alignment. ACM Multimedia Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu
2018	J	`jnl`	Visual Domain Adaptation with Manifold Embedded Distribution Alignment. CoRR Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu
2018	A*	`conf`	Zero-shot User Intent Detection via Capsule Neural Networks. EMNLP Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2018	J	`jnl`	Zero-shot User Intent Detection via Capsule Neural Networks. CoRR Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2018	A*	`conf`	dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. ICDM He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow
2018	J	`jnl`	dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. CoRR He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow
2018	J	`jnl`	r-instance Learning for Missing People Tweets Identification. CoRR Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu
2017	A*	`conf`	A Broad Learning Approach for Context-Aware Mobile Application Recommendation. ICDM Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu
2017	J	`jnl`	A Broad Learning Approach for Context-Aware Mobile Application Recommendation. CoRR Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu
2017	J	`jnl`	A Survey of Heterogeneous Information Network Analysis. IEEE Trans. Knowl. Data Eng. Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2017	Misc	`conf`	A novel ensemble approach on regionalized neural networks for brain disorder prediction. SAC Lei Zheng, Jingyuan Zhang, Bokai Cao, Philip S. Yu, Ann B. Ragin
2017	J	`jnl`	Active zero-shot learning: a novel approach to extreme multi-labeled classification. Int. J. Data Sci. Anal. Sihong Xie, Philip S. Yu
2017	J	`jnl`	An experimental study on tuning the consistency of NoSQL systems. Concurr. Comput. Pract. Exp. Xiangdong Huang, Jianmin Wang, Philip S. Yu, Jian Bai, Jinrui Zhang
2017	A	`conf`	BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion. CIKM Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv
2017	J	`jnl`	BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion. CoRR Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv
2017	A*	`conf`	BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. ICDM Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu
2017	J	`jnl`	BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder. CoRR Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu
2017	J	`jnl`	Bringing Semantic Structures to User Intent Detection in Online Medical Queries. CoRR Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu
2017	—	`conf`	Bringing semantic structures to user intent detection in online medical queries. IEEE BigData Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu
2017	A	`conf`	Broad Learning based Multi-Source Collaborative Recommendation. CIKM Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu
2017	J	`jnl`	CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks. IEEE Access Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Philip S. Yu
2017	A*	`conf`	Collaborative Inference of Coexisting Information Diffusions. ICDM Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu
2017	J	`jnl`	Collaborative Inference of Coexisting Information Diffusions. CoRR Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu
2017	—	`conf`	Collective Fraud Detection Capturing Inter-Transaction Dependency. ADF@KDD Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
2017	—	`conf`	Collective Geographical Embedding for Geolocating Social Network Users. PAKDD (1) Fengjiao Wang, Chun-Ta Lu, Yongzhi Qu, Philip S. Yu
2017	B	`conf`	Collective discovery of brain networks with unknown groups. IJCNN Xinyue Liu, Xiangnan Kong, Philip S. Yu
2017	J	`jnl`	Community detection for emerging social networks. World Wide Web Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Junyuan Xie
2017	—	`conf`	Community detection on anti-vaping campaign audience. BIBM Qianyi Zhan, Longhai Tan, Sherry Emery, Philip S. Yu, Chongjun Wang
2017	J	`jnl`	Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data. ACM Trans. Inf. Syst. Senzhang Wang, Xiaoming Zhang, Jianping Cao, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang
2017	—	`conf`	Connecting emerging relationships from news via tensor factorization. IEEE BigData Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu
2017	J	`jnl`	Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. Sensors Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei, Philip S. Yu
2017	J	`jnl`	Contaminant Removal for Android Malware Detection Systems. CoRR Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an
2017	—	`conf`	Contaminant removal for Android malware detection systems. IEEE BigData Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an
2017	A	`conf`	Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services. CIKM Yuqi Wang, Jiannong Cao, Lifang He, Wengen Li, Lichao Sun, Philip S. Yu
2017	A*	`conf`	Cross View Link Prediction by Learning Noise-resilient Representation Consensus. WWW Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu
2017	—	`conf`	Deep and Broad Learning on Content-Aware POI Recommendation. CIC Fengjiao Wang, Yongzhi Qu, Lei Zheng, Chun-Ta Lu, Philip S. Yu
2017	A*	`conf`	DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. KDD Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow
2017	—	`book`	Differential Privacy and Applications Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu
2017	J	`jnl`	Differentially Private Data Publishing and Analysis: A Survey. IEEE Trans. Knowl. Data Eng. Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu
2017	J	`jnl`	Differentially Private Query Learning: from Data Publishing to Model Publishing. CoRR Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu
2017	—	`conf`	Differentially private query learning: From data publishing to model publishing. IEEE BigData Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu
2017	B	`conf`	Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning. DSAA Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017	J	`jnl`	Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. CoRR Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2017	C	`conf`	Efficient Revenue Maximization for Viral Marketing in Social Networks. ADMA Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang
2017	—	`conf`	Embedding Identity and Interest for Social Networks. WWW (Companion Volume) Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017	A	`conf`	Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks. WSDM Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017	A*	`conf`	Enterprise Community Detection. ICDE Jiawei Zhang, Philip S. Yu, Yuanhua Lv
2017	A	`conf`	Enterprise Employee Training via Project Team Formation. WSDM Jiawei Zhang, Philip S. Yu, Yuanhua Lv
2017	—	`conf`	Error-robust multi-view clustering. IEEE BigData Mehrnaz Najafi, Lifang He, Philip S. Yu
2017	A*	`conf`	HashNet: Deep Learning to Hash by Continuation. ICCV Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2017	J	`jnl`	HashNet: Deep Learning to Hash by Continuation. CoRR Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2017	—	`book`	Heterogeneous Information Network Analysis and Applications Chuan Shi, Philip S. Yu
2017	J	`jnl`	Heterogeneous Information Network Embedding for Recommendation. CoRR Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu
2017	C	`conf`	Heterogeneous Service Information Mining Based on Parallel Computing. ICCC Yu Lei, Shiping Chen, Philip S. Yu
2017	—	`conf`	Hierarchical collaborative embedding for context-aware recommendations. IEEE BigData Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, Nianzu Ma
2017	A*	`conf`	HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks. ICDM Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
2017	J	`jnl`	HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks. CoRR Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
2017	J	`jnl`	IAD: Interaction-Aware Diffusion Framework in Social Networks. CoRR Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu
2017	J	`jnl`	Improved Consistent Weighted Sampling Revisited. CoRR Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
2017	—	`conf`	Inverse extreme learning machine for learning with label proportions. IEEE BigData Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu
2017	A	`conf`	Joint Deep Modeling of Users and Items Using Reviews for Recommendation. WSDM Lei Zheng, Vahid Noroozi, Philip S. Yu
2017	J	`jnl`	Joint Deep Modeling of Users and Items Using Reviews for Recommendation. CoRR Lei Zheng, Vahid Noroozi, Philip S. Yu
2017	A*	`conf`	Kernelized Support Tensor Machines. ICML Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
2017	J	`jnl`	Learning Bregman Distance Functions for Structural Learning to Rank. IEEE Trans. Knowl. Data Eng. Xi Li, Te Pi, Zhongfei Zhang, Xueyi Zhao, Meng Wang, Xuelong Li, Philip S. Yu
2017	—	`conf`	Learning Multiple Tasks with Multilinear Relationship Networks. NIPS Mingsheng Long, Zhangjie Cao, Jianmin Wang, Philip S. Yu
2017	J	`jnl`	Learning from Multi-View Structural Data via Structural Factorization Machines. CoRR Chun-Ta Lu, Lifang He, Hao Ding, Philip S. Yu
2017	A*	`conf`	Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. ICDE Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han
2017	A	`conf`	Link Prediction with Cardinality Constraint. WSDM Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu
2017	—	`conf`	Low-Rank and Sparse Matrix Completion for Recommendation. ICONIP (5) Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2017	J	`jnl`	Matching Heterogeneous Events with Patterns. IEEE Trans. Knowl. Data Eng. Shaoxu Song, Yu Gao, Chaokun Wang, Xiaochen Zhu, Jianmin Wang, Philip S. Yu
2017	C	`conf`	Measuring the relevance of different-typed objects in weighted signed heterogeneous information networks. CSCWD Tianchen Zhu, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xiaoguang Hong
2017	A	`conf`	Mobile Application Rating Prediction via Feature-Oriented Matrix Factorization. ICWS Tingting Liang, Liang Chen, Xingde Ying, Philip S. Yu, Jian Wu, Zibin Zheng
2017	B	`conf`	Multi-task Network Embedding. DSAA Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017	A	`conf`	Multi-view Clustering with Graph Embedding for Connectome Analysis. CIKM Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin
2017	A*	`conf`	Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. ICDM Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin
2017	J	`jnl`	Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. CoRR Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin
2017	J	`jnl`	Multi-view Unsupervised Feature Selection by Cross-diffused Matrix Alignment. CoRR Xiaokai Wei, Bokai Cao, Philip S. Yu
2017	B	`conf`	Multi-view unsupervised feature selection by cross-diffused matrix alignment. IJCNN Xiaokai Wei, Bokai Cao, Philip S. Yu
2017	A*	`conf`	Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. CVPR Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
2017	A	`conf`	Multilinear Factorization Machines for Multi-Task Multi-View Learning. WSDM Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu
2017	B	`conf`	Multiple Social Role Embedding. DSAA Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017	J	`jnl`	Newsfeed Screening for Behavioral Therapy to Social Network Mental Disorders. CoRR Hong-Han Shuai, Yen-Chieh Lien, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu
2017	A*	`conf`	On Edge Classification in Networks with Structure and Content. ICDE Charu C. Aggarwal, Yao Li, Philip S. Yu, Yuchen Zhao
2017	—	`conf`	On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction. WWW (Companion Volume) Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017	—	`conf`	Personalized Ranking Recommendation via Integrating Multiple Feedbacks. PAKDD (2) Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu
2017	—	`conf`	PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs. NIPS Yunbo Wang, Mingsheng Long, Jianmin Wang, Zhifeng Gao, Philip S. Yu
2017	J	`jnl`	Predicting neighbor label distributions in dynamic heterogeneous information networks. World Wide Web Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu
2017	J	`jnl`	Probabilistic cleaning over trajectory events of mobile RFID objects. ACM SIGSPATIAL Special Guoqiong Liao, Philip S. Yu, Qianhui Zhong, Sihong Xie, Changxuan Wan, Dexi Liu
2017	J	`jnl`	Product Function Need Recognition via Semi-supervised Attention Network. CoRR Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2017	—	`conf`	Product function need recognition via semi-supervised attention network. IEEE BigData Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2017	—	`conf`	Real Time Social Attitude Expression Prediction. BigData Congress Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui
2017	A*	`conf`	Recommendation for Repeat Consumption from User Implicit Feedback. ICDE Jun Chen, Chaokun Wang, Jianmin Wang, Philip S. Yu
2017	J	`jnl`	Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach. Data Min. Knowl. Discov. Ning Yang, Lifang He, Zheng Li, Philip S. Yu
2017	—	`conf`	Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links. ECML/PKDD (1) Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu
2017	—	`conf`	Review-Based Cross-Domain Recommendation Through Joint Tensor Factorization. DASFAA (1) Tianhang Song, Zhaohui Peng, Senzhang Wang, Wenjing Fu, Xiaoguang Hong, Philip S. Yu
2017	A	`conf`	Rumor Initiator Detection in Infected Signed Networks. ICDCS Jiawei Zhang, Charu C. Aggarwal, Philip S. Yu
2017	A*	`conf`	SEVEN: Deep Semi-supervised Verification Networks. IJCAI Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu
2017	J	`jnl`	SEVEN: Deep Semi-supervised Verification Networks. CoRR Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu
2017	—	`conf`	Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. ECML/PKDD (3) Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow
2017	J	`jnl`	Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. CoRR Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow
2017	J	`jnl`	Service recommendation based on parallel graph computing. Distributed Parallel Databases Yu Lei, Philip S. Yu
2017	J	`jnl`	Spatial and semantical label inference for social media - A cross-network data fusion approach. Knowl. Inf. Syst. Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu
2017	A*	`conf`	Spatiotemporal Pyramid Network for Video Action Recognition. CVPR Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu
2017	A*	`conf`	Structural Deep Brain Network Mining. KDD Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2017	J	`jnl`	Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge. CoRR Hu Xu, Lei Shu, Philip S. Yu
2017	J	`jnl`	Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing. Proc. VLDB Endow. Aoqian Zhang, Shaoxu Song, Jianmin Wang, Philip S. Yu
2017	J	`jnl`	To Vote Before Decide: A Logless One-Phase Commit Protocol for Highly-Available Datastores. CoRR Yuqing Zhu, Philip S. Yu, Guolei Yi, Wenlong Ma, Mengying Guo, Jianxun Liu
2017	A	`conf`	Unsupervised Feature Selection with Heterogeneous Side Information. CIKM Xiaokai Wei, Bokai Cao, Philip S. Yu
2017	A	`conf`	t-BNE: Tensor-based Brain Network Embedding. SDM Bokai Cao, Lifang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow
2016	—	`ed.`	2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016 IEEE BigData James Joshi, George Karypis, Ling Liu, Xiaohua Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle H. Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura
2016	J	`jnl`	A Comprehensive Study on Willingness Maximization for Social Activity Planning with Quality Guarantee. IEEE Trans. Knowl. Data Eng. Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Ming-Syan Chen
2016	A	`conf`	Active Zero-Shot Learning. CIKM Sihong Xie, Shaoxiong Wang, Philip S. Yu
2016	J	`jnl`	Badge System Analysis and Design. CoRR Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2016	B	`conf`	Bicycle-Sharing System Analysis and Trip Prediction. MDM Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu
2016	J	`jnl`	Bicycle-Sharing System Analysis and Trip Prediction. CoRR Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu
2016	—	`conf`	Bicycle-sharing systems expansion: station re-deployment through crowd planning. SIGSPATIAL/GIS Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu
2016	J	`jnl`	CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews. CoRR Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2016	—	`conf`	CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews. IEEE BigData Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2016	J	`jnl`	CPB: a classification-based approach for burst time prediction in cascades. Knowl. Inf. Syst. Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li, Biao Wang
2016	A*	`conf`	Causality Based Propagation History Ranking in Social Networks. IJCAI Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye, Philip S. Yu
2016	J	`jnl`	Clustering Embedded Approaches for Efficient Information Network Inference. Data Sci. Eng. Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
2016	B	`conf`	Collaborative Co-clustering across Multiple Social Media. MDM Fengjiao Wang, Shuyang Lin, Philip S. Yu
2016	J	`jnl`	Community Detection Using Multilayer Edge Mixture Model. CoRR Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2016	—	`conf`	Community detection with partially observable links and node attributes. IEEE BigData Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu
2016	A*	`conf`	Composite Correlation Quantization for Efficient Multimodal Retrieval. SIGIR Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu
2016	—	`ch.`	Concurrent Alignment of Multiple Anonymized Social Networks with Generic Stable Matching. Theoretical Information Reuse and Integration Jiawei Zhang, Qianyi Zhan, Philip S. Yu
2016	J	`jnl`	Constrained-meta-path-based ranking in heterogeneous information network. Knowl. Inf. Syst. Chuan Shi, Yitong Li, Philip S. Yu, Bin Wu
2016	J	`jnl`	Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement. ACM Trans. Intell. Syst. Technol. Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Yueying He
2016	J	`jnl`	Deep Learning of Transferable Representation for Scalable Domain Adaptation. IEEE Trans. Knowl. Data Eng. Mingsheng Long, Jianmin Wang, Yue Cao, Jia-Guang Sun, Philip S. Yu
2016	A*	`conf`	Deep Visual-Semantic Hashing for Cross-Modal Retrieval. KDD Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
2016	Misc	`conf`	Discover Tipping Users for Cross Network Influencing (Invited Paper). IRI Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Sherry Emery, Junyuan Xie
2016	—	`conf`	DistSD: Distance-based social discovery with personalized posterior screening. IEEE BigData Xiao Pan, Jiawei Zhang, Fengjiao Wang, Philip S. Yu
2016	A	`conf`	Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction. SDM Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu
2016	J	`jnl`	Efficient Algorithms for Mining Top-K High Utility Itemsets. IEEE Trans. Knowl. Data Eng. Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu
2016	A	`conf`	Efficient Hidden Trajectory Reconstruction from Sparse Data. CIKM Ning Yang, Philip S. Yu
2016	—	`conf`	Enhancing Traffic Congestion Estimation with Social Media by Coupled Hidden Markov Model. ECML/PKDD (2) Senzhang Wang, Fengxiang Li, Leon Stenneth, Philip S. Yu
2016	B	`conf`	Estimating Urban Traffic Congestions with Multi-sourced Data. MDM Senzhang Wang, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang
2016	J	`jnl`	Expenditure Aware Rating Prediction for Recommendation. CoRR Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu
2016	—	`conf`	Expenditure aware rating prediction for recommendation. IEEE BigData Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu, Naiwang Guo
2016	—	`conf`	HEER: Heterogeneous graph embedding for emerging relation detection from news. IEEE BigData Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, Philip S. Yu
2016	A*	`conf`	HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer. WWW Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu, Songtao Guo, Philip S. Yu
2016	A	`conf`	Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. SDM Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2016	—	`conf`	Incomplete electrocardiogram time series prediction. BioCAS Weiwei Shi, Yongxin Zhu, Philip S. Yu, Mengyun Liu, Guoxing Wang, Zhiliang Qian, Yong Lian
2016	—	`conf`	Inferring Social Influence of anti-Tobacco mass media campaigns. BIBM Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Sherry Emery, Junyuan Xie
2016	A	`conf`	Information Diffusion at Workplace. CIKM Jiawei Zhang, Philip S. Yu, Yuanhua Lv, Qianyi Zhan
2016	J	`jnl`	Integrating heterogeneous information via flexible regularization framework for recommendation. Knowl. Inf. Syst. Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu
2016	—	`conf`	Interpretable and effective opinion spam detection via temporal patterns mining across websites. IEEE BigData Yuan Yuan, Sihong Xie, Chun-Ta Lu, Jie Tang, Philip S. Yu
2016	J	`jnl`	Intertwined Viral Marketing through Online Social Networks. CoRR Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu
2016	B	`conf`	Intertwined viral marketing in social networks. ASONAM Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu
2016	A*	`conf`	Item Recommendation for Emerging Online Businesses. IJCAI Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu
2016	A*	`conf`	Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. KDD Lifang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, Linlin Shen, Philip S. Yu
2016	J	`jnl`	Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification. IEEE Trans. Knowl. Data Eng. Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2016	A*	`conf`	Joint structure feature exploration and regularization for multi-task graph classification. ICDE Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2016	J	`jnl`	LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy. CoRR Xuebin Ren, Chia-Mu Yu, Weiren Yu, Shusen Yang, Xinyu Yang, Julie A. McCann, Philip S. Yu
2016	J	`jnl`	Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion. CoRR Hu Xu, Lei Shu, Jingyuan Zhang, Philip S. Yu
2016	A*	`conf`	Mining Online Social Data for Detecting Social Network Mental Disorders. WWW Hong-Han Shuai, Chih-Ya Shen, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2016	A*	`conf`	Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach. WWW Chenwei Zhang, Wei Fan, Nan Du, Philip S. Yu
2016	J	`jnl`	Modularity in Complex Multilayer Networks with Multiple Aspects: A Static Perspective. CoRR Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2016	J	`jnl`	Multi-Source Multi-View Clustering via Discrepancy Penalty. CoRR Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu
2016	J	`jnl`	Multi-View Clustering Based on Belief Propagation. IEEE Trans. Knowl. Data Eng. Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2016	—	`conf`	Multi-agent Reinforcement Learning for Service Composition. SCC Yu Lei, Philip S. Yu
2016	—	`conf`	Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. ECML/PKDD (1) Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin
2016	A	`conf`	Multi-source Hierarchical Prediction Consolidation. CIKM Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
2016	J	`jnl`	Multi-source Hierarchical Prediction Consolidation. CoRR Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
2016	B	`conf`	Multi-source Multi-view Clustering via discrepancy penalty. IJCNN Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu
2016	J	`jnl`	Multi-type clustering in heterogeneous information networks. Knowl. Inf. Syst. Wangqun Lin, Philip S. Yu, Yuchen Zhao, Bo Deng
2016	A	`conf`	Multi-view Machines. WSDM Bokai Cao, Hucheng Zhou, Guoqiang Li, Philip S. Yu
2016	A	`conf`	Nonlinear Joint Unsupervised Feature Selection. SDM Xiaokai Wei, Bokai Cao, Philip S. Yu
2016	J	`jnl`	Online Multi-view Clustering with Incomplete Views. CoRR Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu
2016	A*	`conf`	Online Unsupervised Multi-view Feature Selection. ICDM Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu
2016	J	`jnl`	Online Unsupervised Multi-view Feature Selection. CoRR Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu
2016	—	`conf`	Online multi-view clustering with incomplete views. IEEE BigData Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu
2016	A*	`conf`	PCT: Partial Co-Alignment of Social Networks. WWW Jiawei Zhang, Philip S. Yu
2016	—	`ed.`	Proceedings of the 5th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2016, San Francisco, CA, USA, August 14, 2016 BigMine Wei Fan, Albert Bifet, Jesse Read, Qiang Yang, Philip S. Yu
2016	A	`conf`	RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network. RecSys Jiawei Hu, Zhiqiang Zhang, Jian Liu, Chuan Shi, Philip S. Yu, Bai Wang
2016	J	`jnl`	Recommendation for Repeat Consumption from User Implicit Feedback. IEEE Trans. Knowl. Data Eng. Jun Chen, Chaokun Wang, Jianmin Wang, Philip S. Yu
2016	—	`conf`	Semi-supervised Tensor Factorization for Brain Network Analysis. ECML/PKDD (1) Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow
2016	C	`conf`	Service Recommendation Based on Topics and Trend Prediction. CollaborateCom Yu Lei, Junxing Zhang, Philip S. Yu
2016	Misc	`conf`	Service topic model with probability distance. UCC Yu Lei, Philip S. Yu
2016	B	`conf`	Social badge system analysis. ASONAM Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2016	A	`conf`	Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. SDM Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin
2016	J	`jnl`	Temporal Dynamic Matrix Factorization for Missing Data Prediction in Large Scale Coevolving Time Series. IEEE Access Weiwei Shi, Yongxin Zhu, Philip S. Yu, Tian Huang, Chang Wang, Yishu Mao, Yufeng Chen
2016	—	`conf`	Temporal Recommendation via Modeling Dynamic Interests with Inverted-U-Curves. DASFAA (1) Yang Xu, Xiaoguang Hong, Zhaohui Peng, Guang Yang, Philip S. Yu
2016	—	`conf`	Trip Route Planning for Bicycle-Sharing Systems. CIC Jiawei Zhang, Philip S. Yu
2016	—	`conf`	Trust Hole Identification in Signed Networks. ECML/PKDD (1) Jiawei Zhang, Qianyi Zhan, Lifang He, Charu C. Aggarwal, Philip S. Yu
2016	—	`conf`	Two-Phase Mining for Frequent Closed Episodes. WAIM (1) Guoqiong Liao, Xiaoting Yang, Sihong Xie, Philip S. Yu, Changxuan Wan
2016	A*	`conf`	Understanding Information Diffusion under Interactions. IJCAI Yuan Su, Xi Zhang, Philip S. Yu, Wen Hua, Xiaofang Zhou, Binxing Fang
2016	A	`conf`	Unsupervised Feature Selection by Preserving Stochastic Neighbors. AISTATS Xiaokai Wei, Philip S. Yu
2016	A*	`conf`	Unsupervised Feature Selection on Networks: A Generative View. AAAI Xiaokai Wei, Bokai Cao, Philip S. Yu
2016	—	`conf`	User-Guided Large Attributed Graph Clustering with Multiple Sparse Annotations. PAKDD (1) Jianping Cao, Senzhang Wang, Fengcai Qiao, Hui Wang, Feiyue Wang, Philip S. Yu
2015	J	`jnl`	A Survey of Heterogeneous Information Network Analysis. CoRR Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2015	B	`conf`	A context-aware approach to detection of short irrelevant texts. DSAA Sihong Xie, Jing Wang, Mohammad Shafkat Amin, Baoshi Yan, Anmol Bhasin, Clement T. Yu, Philip S. Yu
2015	J	`jnl`	A review of heterogeneous data mining for brain disorder identification. Brain Informatics Bokai Cao, Xiangnan Kong, Philip S. Yu
2015	J	`jnl`	A review of heterogeneous data mining for brain disorders. CoRR Bokai Cao, Xiangnan Kong, Philip S. Yu
2015	J	`jnl`	A robust one-class transfer learning method with uncertain data. Knowl. Inf. Syst. Yanshan Xiao, Bo Liu, Philip S. Yu, Zhifeng Hao
2015	—	`ed.`	Agents and Data Mining Interaction - 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers ADMI Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu
2015	A*	`conf`	An Effective Marketing Strategy for Revenue Maximization with a Quantity Constraint. KDD Ya-Wen Teng, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen
2015	J	`jnl`	An Effective Marketing Strategy for Revenue Maximization with a Quantity Constraint. CoRR Ya-Wen Teng, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen
2015	B	`conf`	An effective and economic bi-level approach to ranking and rating spam detection. DSAA Sihong Xie, Qingbo Hu, Jingyuan Zhang, Philip S. Yu
2015	J	`jnl`	Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine. J. Am. Medical Informatics Assoc. Aaron M. Cohen, Neil R. Smalheiser, Marian S. McDonagh, Clement T. Yu, Clive E. Adams, John M. Davis, Philip S. Yu
2015	A*	`conf`	Burst Time Prediction in Cascades. AAAI Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li
2015	A	`conf`	CENI: A Hybrid Framework for Efficiently Inferring Information Networks. ICWSM Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
2015	J	`jnl`	CENI: a Hybrid Framework for Efficiently Inferring Information Networks. CoRR Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
2015	A*	`conf`	COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. KDD Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu
2015	—	`conf`	Citywide traffic congestion estimation with social media. SIGSPATIAL/GIS Senzhang Wang, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li
2015	—	`conf`	Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization. PAKDD (2) Weixiang Shao, Lifang He, Philip S. Yu
2015	A	`conf`	Community Detection for Emerging Networks. SDM Jiawei Zhang, Philip S. Yu
2015	J	`jnl`	Compositional Correlation Quantization for Large-Scale Multimodal Search. CoRR Mingsheng Long, Jianmin Wang, Philip S. Yu
2015	—	`conf`	Concurrent goal-oriented co-clustering generation in social networks. ICSC Fengjiao Wang, Guan Wang, Shuyang Lin, Philip S. Yu
2015	J	`jnl`	Constructing plausible innocuous pseudo queries to protect user query intention. Inf. Sci. Zongda Wu, Jie Shi, Chenglang Lu, Enhong Chen, Guandong Xu, Guiling Li, Sihong Xie, Philip S. Yu
2015	A*	`conf`	Convex Approximation to the Integral Mixture Models Using Step Functions. ICDM Yi Xu, Yilin Zhu, Zhongfei Zhang, Yaqing Zhang, Philip S. Yu
2015	C	`ed.`	Data Science - Second International Conference, ICDS 2015 Sydney, Australia, August 8-9, 2015. Proceedings ICDS Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He
2015	J	`jnl`	Deception detection in Twitter. Soc. Netw. Anal. Min. Jalal S. Alowibdi, Ugo A. Buy, Philip S. Yu, Sohaib Ghani, Mohamed F. Mokbel
2015	—	`conf`	Discovering Audience Groups and Group-Specific Influencers. ECML/PKDD (2) Shuyang Lin, Qingbo Hu, Jingyuan Zhang, Philip S. Yu
2015	J	`jnl`	Diversionary Comments under Blog Posts. ACM Trans. Web Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng
2015	J	`jnl`	Domain Invariant Transfer Kernel Learning. IEEE Trans. Knowl. Data Eng. Mingsheng Long, Jianmin Wang, Jia-Guang Sun, Philip S. Yu
2015	J	`jnl`	Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets. IEEE Trans. Knowl. Data Eng. Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu
2015	A	`conf`	Efficient Partial Order Preserving Unsupervised Feature Selection on Networks. SDM Xiaokai Wei, Sihong Xie, Philip S. Yu
2015	A*	`conf`	Ensemble of Diverse Sparsifications for Link Prediction in Large-Scale Networks. ICDM Yi-ling Chen, Ming-Syan Chen, Philip S. Yu
2015	A	`conf`	Enterprise Social Link Recommendation. CIKM Jiawei Zhang, Yuanhua Lv, Philip S. Yu
2015	A	`conf`	Forming Online Support Groups for Internet and Behavior Related Addictions. CIKM Chih-Ya Shen, Hong-Han Shuai, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2015	A	`conf`	Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks. SDM Qingbo Hu, Sihong Xie, Shuyang Lin, Wei Fan, Philip S. Yu
2015	—	`conf`	How TV advertising and social network help tobacco control campaigns influence more. BCB Qianyi Zhan, Sherry Emery, Philip S. Yu
2015	—	`conf`	Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder. BIH Bokai Cao, Liang Zhan, Xiangnan Kong, Philip S. Yu, Nathalie Vizueta, Lori L. Altshuler, Alex D. Leow
2015	J	`jnl`	Identifying HIV-induced subgraph patterns in brain networks with side information. Brain Informatics Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
2015	—	`conf`	Inferring Diffusion Networks with Sparse Cascades by Structure Transfer. DASFAA (1) Senzhang Wang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu, Zhoujun Li
2015	—	`conf`	Inferring crowd-sourced venues for tweets. IEEE BigData Bokai Cao, Francine Chen, Dhiraj Joshi, Philip S. Yu
2015	—	`conf`	Influence Maximization Across Partially Aligned Heterogenous Social Networks. PAKDD (1) Qianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu, Junyuan Xie
2015	A*	`conf`	Integrated Anchor and Social Link Predictions across Social Networks. IJCAI Jiawei Zhang, Philip S. Yu
2015	J	`jnl`	Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation. CoRR Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu
2015	A	`conf`	Learning Entity Types from Query Logs via Graph-Based Modeling. CIKM Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu
2015	—	`conf`	MCD: Mutual Clustering across Multiple Social Networks. BigData Congress Philip S. Yu, Jiawei Zhang
2015	A*	`conf`	Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification. ICDM Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
2015	J	`jnl`	Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification. CoRR Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
2015	A	`conf`	Mining Invisible Tasks in Non-free-choice Constructs. BPM Qinlong Guo, Lijie Wen, Jianmin Wang, Zhiqiang Yan, Philip S. Yu
2015	B	`conf`	Modeling and Utilizing Dynamic Influence Strength for Personalized Promotion. ASONAM Ya-Wen Teng, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen
2015	J	`jnl`	Multi-view Machines. CoRR Bokai Cao, Hucheng Zhou, Philip S. Yu
2015	A*	`conf`	Multiple Anonymized Social Networks Alignment. ICDM Jiawei Zhang, Philip S. Yu
2015	—	`conf`	Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with L ECML/PKDD (1) Weixiang Shao, Lifang He, Philip S. Yu
2015	J	`jnl`	Mutual Community Detection across Multiple Partially Aligned Social Networks. CoRR Jiawei Zhang, Philip S. Yu
2015	J	`jnl`	Nonoccurring Behavior Analytics: A New Area. IEEE Intell. Syst. Longbing Cao, Philip S. Yu, Vipin Kumar
2015	A*	`conf`	On historical diagnosis of sensor streams. ICDE Charu C. Aggarwal, Philip S. Yu
2015	J	`jnl`	On the anonymizability of graphs. Knowl. Inf. Syst. Charu C. Aggarwal, Yao Li, Philip S. Yu
2015	A	`conf`	OnlineCM: Real-time Consensus Classification with Missing Values. SDM Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu
2015	—	`conf`	Optimizing Data Partition for NoSQL Cluster. UIC/ATC/ScalCom Xiangdong Huang, Jianmin Wang, Yu Zhong, Philip S. Yu
2015	J	`jnl`	Optimizing data partition for scaling out NoSQL cluster. Concurr. Comput. Pract. Exp. Xiangdong Huang, Jianmin Wang, Yu Zhong, Shaoxu Song, Philip S. Yu
2015	A*	`conf`	Organizational Chart Inference. KDD Jiawei Zhang, Philip S. Yu, Yuanhua Lv
2015	J	`jnl`	Organizational Chart Inference. CoRR Jiawei Zhang, Philip S. Yu, Yuanhua Lv
2015	B	`conf`	Orthogonal mechanism for answering batch queries with differential privacy. SSDBM Dong Huang, Shuguo Han, Xiaoli Li, Philip S. Yu
2015	Misc	`conf`	PNA: Partial Network Alignment with Generic Stable Matching. IRI Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu
2015	J	`jnl`	Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching. CoRR Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu
2015	A	`conf`	Predicting Neighbor Distribution in Heterogeneous Information Networks. SDM Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu
2015	J	`jnl`	Predicting Neighbor Distribution in Heterogeneous Information Networks. CoRR Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu
2015	—	`conf`	Preface. BigMine Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
2015	J	`jnl`	Privacy preserving graph publication in a distributed environment. World Wide Web Mingxuan Yuan, Lei Chen, Philip S. Yu, Hong Mei
2015	—	`conf`	Public Information Sharing Behaviors Analysis over Different Social Media. CIC Qingbo Hu, Guan Wang, Philip S. Yu
2015	J	`jnl`	QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee. CoRR Hong-Han Shuai, De-Nian Yang, Chih-Ya Shen, Philip S. Yu, Ming-Syan Chen
2015	B	`conf`	Reconstruction Privacy: Enabling Statistical Learning. EDBT Ke Wang, Chao Han, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Philip S. Yu
2015	—	`conf`	Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources. IEEE BigData Sihong Xie, Qingbo Hu, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu
2015	—	`conf`	SCREEN: Stream Data Cleaning under Speed Constraints. SIGMOD Conference Shaoxu Song, Aoqian Zhang, Jianmin Wang, Philip S. Yu
2015	—	`conf`	Scale-Adaptive Group Optimization for Social Activity Planning. PAKDD (1) Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Ming-Syan Chen
2015	J	`jnl`	Scale-Adaptive Group Optimization for Social Activity Planning. CoRR Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Ming-Syan Chen
2015	A	`conf`	Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. CIKM Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu
2015	B	`conf`	Sensor network partitioning based on homogeneity. DSAA Yi Xu, Zhongfei (Mark) Zhang, Yaqing Zhang, Philip S. Yu
2015	J	`jnl`	Subgraph Matching with Set Similarity in a Large Graph Database. IEEE Trans. Knowl. Data Eng. Liang Hong, Lei Zou, Xiang Lian, Philip S. Yu
2015	—	`conf`	The Unsupervised Hierarchical Convolutional Sparse Auto-Encoder for Neuroimaging Data Classification. BIH Xiaobing Han, Yanfei Zhong, Lifang He, Philip S. Yu, Liangpei Zhang
2015	J	`jnl`	Top-k Similarity Join in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. Yun Xiong, Yangyong Zhu, Philip S. Yu
2015	—	`conf`	Understanding Community Effects on Information Diffusion. PAKDD (1) Shuyang Lin, Qingbo Hu, Guan Wang, Philip S. Yu
2015	A	`conf`	WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining. ICWS Liang Chen, Qi Yu, Philip S. Yu, Jian Wu
2015	—	`conf`	cluTM: Content and Link Integrated Topic Model on Heterogeneous Information Networks. WAIM Qian Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Qingzhong Li, Xiaoguang Hong
2014	B	`conf`	A Condensation Approach to Privacy Preserving Data Mining. EDBT Charu C. Aggarwal, Philip S. Yu
2014	J	`jnl`	A framework for dynamic link prediction in heterogeneous networks. Stat. Anal. Data Min. Charu C. Aggarwal, Yan Xie, Philip S. Yu
2014	B	`conf`	A hybrid coupled k-nearest neighbor algorithm on imbalance data. IJCNN Chunming Liu, Longbing Cao, Philip S. Yu
2014	—	`ch.`	Active Learning: A Survey. Data Classification: Algorithms and Applications Charu C. Aggarwal, Xiangnan Kong, Quanquan Gu, Jiawei Han, Philip S. Yu
2014	J	`jnl`	Adaptation Regularization: A General Framework for Transfer Learning. IEEE Trans. Knowl. Data Eng. Mingsheng Long, Jianmin Wang, Guiguang Ding, Sinno Jialin Pan, Philip S. Yu
2014	—	`ed.`	Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers ADMI Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Jörg P. Müller, Philip S. Yu
2014	C	`conf`	An Effective Approach on Overlapping Structures Discovery for Co-clustering. APWeb Wangqun Lin, Yuchen Zhao, Philip S. Yu, Bo Deng
2014	J	`jnl`	An Efficient Approach for Outlier Detection with Imperfect Data Labels. IEEE Trans. Knowl. Data Eng. Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao
2014	J	`jnl`	An efficient orientation distance-based discriminative feature extraction method for multi-classification. Knowl. Inf. Syst. Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao
2014	B	`conf`	Assessing the longevity of online videos: A new insight of a video's quality. DSAA Qingbo Hu, Guan Wang, Philip S. Yu
2014	J	`jnl`	Bag Constrained Structure Pattern Mining for Multi-Graph Classification. IEEE Trans. Knowl. Data Eng. Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2014	A*	`conf`	Class-distribution regularized consensus maximization for alleviating overfitting in model combination. KDD Sihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu
2014	A*	`conf`	Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks. ICDM Bokai Cao, Xiangnan Kong, Philip S. Yu
2014	J	`jnl`	Comparison and Selection of objective Functions in multiobjective Community Detection. Comput. Intell. Chuan Shi, Philip S. Yu, Zhenyu Yan, Yue Huang, Bai Wang
2014	J	`jnl`	Correlated network data publication via differential privacy. VLDB J. Rui Chen, Benjamin C. M. Fung, Philip S. Yu, Bipin C. Desai
2014	B	`conf`	Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data. IJCNN Chunming Liu, Longbing Cao, Philip S. Yu
2014	—	`conf`	Deriving latent social impulses to determine longevous videos. WWW (Companion Volume) Qingbo Hu, Guan Wang, Philip S. Yu
2014	B	`conf`	Detecting deception in Online Social Networks. ASONAM Jalal S. Alowibdi, Ugo A. Buy, Philip S. Yu, Leon Stenneth
2014	—	`conf`	Discovering Organizational Correlations from Twitter. ICDM Workshops Jingyuan Zhang, Xiaoxiao Shi, Xiangnan Kong, Hong-Han Shuai, Philip S. Yu
2014	J	`jnl`	Discovering Organizational Correlations from Twitter. CoRR Jingyuan Zhang, Xiaoxiao Shi, Xiangnan Kong, Hong-Han Shuai, Philip S. Yu
2014	A	`conf`	DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. SDM Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao
2014	J	`jnl`	DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. CoRR Lifang He, Xiangnan Kong, Philip S. Yu, Ann B. Ragin, Zhifeng Hao, Xiaowei Yang
2014	A	`conf`	Future Influence Ranking of Scientific Literature. SDM Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu
2014	J	`jnl`	Future Influence Ranking of Scientific Literature. CoRR Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu
2014	J	`jnl`	G-Bean: an ontology-graph based web tool for biomedical literature retrieval. BMC Bioinform. James Zijun Wang, Yuanyuan Zhang, Liang Dong, Lin Li, Pradip K. Srimani, Philip S. Yu
2014	J	`jnl`	GBC: Gradient boosting consensus model for heterogeneous data. Stat. Anal. Data Min. Xiaoxiao Shi, Jean-François Paiement, David Grangier, Philip S. Yu
2014	—	`conf`	HRank: A Path Based Ranking Method in Heterogeneous Information Network. WAIM Yitong Li, Chuan Shi, Philip S. Yu, Qing Chen
2014	J	`jnl`	HRank: A Path based Ranking Framework in Heterogeneous Information Network. CoRR Yitong Li, Chuan Shi, Philip S. Yu, Qing Chen
2014	J	`jnl`	HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. Chuan Shi, Xiangnan Kong, Yue Huang, Philip S. Yu, Bin Wu
2014	A	`conf`	Identifying Your Customers in Social Networks. CIKM Chun-Ta Lu, Hong-Han Shuai, Philip S. Yu
2014	J	`jnl`	Identity Protection in Sequential Releases of Dynamic Networks. IEEE Trans. Knowl. Data Eng. Chih-Hua Tai, Peng-Jui Tseng, Philip S. Yu, Ming-Syan Chen
2014	A	`conf`	Inferring the impacts of social media on crowdfunding. WSDM Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu
2014	A	`conf`	Large-Scale Multi-Label Learning with Incomplete Label Assignments. SDM Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan
2014	J	`jnl`	Large-Scale Multi-Label Learning with Incomplete Label Assignments. CoRR Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan
2014	A	`conf`	Learning on Probabilistic Labels. SDM Peng Peng, Raymond Chi-Wing Wong, Philip S. Yu
2014	A*	`conf`	Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks. ICML Shan-Hung Wu, Hao-Heng Chien, Kuan-Hua Lin, Philip S. Yu
2014	A*	`conf`	Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems. ICDM Lifang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, Philip S. Yu
2014	A*	`conf`	MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades. KDD Senzhang Wang, Xia Hu, Philip S. Yu, Zhoujun Li
2014	A*	`conf`	Matching heterogeneous events with patterns. ICDE Xiaochen Zhu, Shaoxu Song, Jianmin Wang, Philip S. Yu, Jiaguang Sun
2014	J	`jnl`	Measure the Semantic Similarity of GO Terms Using Aggregate Information Content. IEEE ACM Trans. Comput. Biol. Bioinform. Xuebo Song, Lin Li, Pradip K. Srimani, Philip S. Yu, James Z. Wang
2014	A*	`conf`	Meta-path based multi-network collective link prediction. KDD Jiawei Zhang, Philip S. Yu, Zhi-Hua Zhou
2014	—	`conf`	Mining Mobility Evolution from Check-In Datasets. MDM (1) Meng-Fen Chiang, Chien-Cheng Chen, Wen-Chih Peng, Philip S. Yu
2014	J	`jnl`	Multi-Label Classification Based on Multi-Objective Optimization. ACM Trans. Intell. Syst. Technol. Chuan Shi, Xiangnan Kong, Di Fu, Philip S. Yu, Bin Wu
2014	A	`conf`	NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites. CIKM Jingyuan Zhang, Xiangnan Kong, Roger Jie Luo, Yi Chang, Philip S. Yu
2014	J	`jnl`	NEIWalk: Community Discovery in Dynamic Content-Based Networks. IEEE Trans. Knowl. Data Eng. Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2014	J	`jnl`	On the Use of Side Information for Mining Text Data. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu
2014	—	`conf`	Preface. BigMine Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
2014	J	`jnl`	Privacy Preserving Social Network Publication Against Mutual Friend Attacks. CoRR Chong-Jing Sun, Philip S. Yu, Xiangnan Kong, Yan Fu
2014	J	`jnl`	Privacy Preserving Social Network Publication Against Mutual Friend Attacks. Trans. Data Priv. Chong-Jing Sun, Philip S. Yu, Xiangnan Kong, Yan Fu
2014	—	`ed.`	Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2014, New York City, USA, August 24, 2014 BigMine Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
2014	J	`jnl`	Protect You More Than Blank: Anti-Learning Sensitive User Information in the Social Networks. J. Comput. Sci. Technol. Mingxuan Yuan, Lei Chen, Philip S. Yu, Hong Mei
2014	A*	`conf`	RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection. ICDM Ke Wu, Kun Zhang, Wei Fan, Andrea Edwards, Philip S. Yu
2014	A	`conf`	Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection. CIKM Chuan Shi, Ran Wang, Yitong Li, Philip S. Yu, Bin Wu
2014	—	`ch.`	Say It with Colors: Language-Independent Gender Classification on Twitter. Online Social Media Analysis and Visualization Jalal S. Alowibdi, Ugo A. Buy, Philip S. Yu
2014	A*	`conf`	Steering Information Diffusion Dynamically against User Attention Limitation. ICDM Shuyang Lin, Qingbo Hu, Fengjiao Wang, Philip S. Yu
2014	B	`conf`	Storage efficient graph search by composite dynamic-and-static indexing of a single network. DSAA Yan Xie, Philip S. Yu
2014	J	`jnl`	Structural Diversity for Resisting Community Identification in Published Social Networks. IEEE Trans. Knowl. Data Eng. Chih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen
2014	—	`conf`	Synergistic partitioning in multiple large scale social networks. IEEE BigData Songchang Jin, Jiawei Zhang, Philip S. Yu, Shuqiang Yang, Aiping Li
2014	A*	`conf`	Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. ICDM Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin
2014	—	`conf`	Trajectory Event Cleaning for Mobile RFID Objects. MDM (1) Guoqiong Liao, Philip S. Yu, Qianhui Zhong, Sihong Xie, Zhen Shen, Changxuan Wan, Dexi Liu
2014	A*	`conf`	Transfer Joint Matching for Unsupervised Domain Adaptation. CVPR Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu
2014	A	`conf`	Transferring heterogeneous links across location-based social networks. WSDM Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2014	C	`conf`	Transferring influence: Supervised learning for efficient influence maximization across networks. CollaborateCom Qingbo Hu, Guan Wang, Philip S. Yu
2014	J	`jnl`	Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams. IEEE Trans. Knowl. Data Eng. Bo Liu, Yanshan Xiao, Philip S. Yu, Longbing Cao, Yun Zhang, Zhifeng Hao
2014	—	`conf`	Visual Recognition by Exploiting Latent Social Links in Image Collections. MMM (1) Li-Jia Li, Xiangnan Kong, Philip S. Yu
2014	B	`conf`	Welcome from DSAA 2014 chairs. DSAA Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang
2014	A	`conf`	When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events. SDM Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu
2014	J	`jnl`	When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events. CoRR Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu
2014	—	`conf`	Why Checkins: Exploring User Motivation on Location Based Social Networks. ICDM Workshops Fengjiao Wang, Guan Wang, Philip S. Yu
2013	—	`ed.`	Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers ADMI Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Philip S. Yu, Munindar P. Singh
2013	A	`conf`	An effective latent networks fusion based model for event recommendation in offline ephemeral social networks. CIKM Guoqiong Liao, Yuchen Zhao, Sihong Xie, Philip S. Yu
2013	A*	`conf`	Anatomy of a web-scale resale market: a data mining approach. WWW Yuchen Zhao, Neel Sundaresan, Zeqian Shen, Philip S. Yu
2013	—	`ed.`	Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers BSI@PAKDD/BSIC@IJCAI Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-Peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang
2013	J	`jnl`	Brain network analysis: a data mining perspective. SIGKDD Explor. Xiangnan Kong, Philip S. Yu
2013	A*	`conf`	Clustering on Multiple Incomplete Datasets via Collective Kernel Learning. ICDM Weixiang Shao, Xiaoxiao Shi, Philip S. Yu
2013	J	`jnl`	Clustering on Multiple Incomplete Datasets via Collective Kernel Learning. CoRR Weixiang Shao, Xiaoxiao Shi, Philip S. Yu
2013	A	`conf`	Community Detection with Prior Knowledge. SDM Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu
2013	J	`jnl`	Comparable dependencies over heterogeneous data. VLDB J. Shaoxu Song, Lei Chen, Philip S. Yu
2013	J	`jnl`	Computing weight constraint reachability in large networks. VLDB J. Miao Qiao, Hong Cheng, Lu Qin, Jeffrey Xu Yu, Philip S. Yu, Lijun Chang
2013	J	`jnl`	Deriving Latent Social Impulses to Determine Longevous Videos. CoRR Qingbo Hu, Guan Wang, Philip S. Yu
2013	—	`ch.`	Dimensionality Reduction and Filtering on Time Series Sensor Streams. Managing and Mining Sensor Data Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu
2013	J	`jnl`	Discriminative Feature Selection for Uncertain Graph Classification CoRR Xiangnan Kong, Philip S. Yu, Xue Wang, Ann B. Ragin
2013	A	`conf`	Discriminative Feature Selection for Uncertain Graph Classification. SDM Xiangnan Kong, Ann B. Ragin, Xue Wang, Philip S. Yu
2013	—	`conf`	Distant-Time Location Prediction in Low-Sampling-Rate Trajectories. MDM (1) Meng-Fen Chiang, Wen-Yuan Zhu, Wen-Chih Peng, Philip S. Yu
2013	A	`conf`	Dynamic Community Detection in Weighted Graph Streams. SDM Jian-Huang Lai, Chang-Dong Wang, Philip S. Yu
2013	A	`conf`	Dynamic Shaker Detection from Evolving Entities. SDM Wei Fan, Xiaoxiao Shi, Philip S. Yu
2013	J	`jnl`	Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases. IEEE Trans. Knowl. Data Eng. Vincent S. Tseng, Bai-En Shie, Cheng-Wei Wu, Philip S. Yu
2013	—	`ch.`	Efficient Direct Mining of Selective Discriminative Patterns for Classification. Contrast Data Mining Hong Cheng, Jiawei Han, Xifeng Yan, Philip S. Yu
2013	A	`conf`	Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis. SDM Longbing Cao, Jinjiu Li, Can Wang, Philip S. Yu
2013	—	`conf`	Empirical Evaluation of Profile Characteristics for Gender Classification on Twitter. ICMLA (1) Jalal S. Alowibdi, Ugo A. Buy, Philip S. Yu
2013	A*	`conf`	Extracting social events for learning better information diffusion models. KDD Shuyang Lin, Fengjiao Wang, Qingbo Hu, Philip S. Yu
2013	—	`conf`	G-Bean: An ontology-graph based web tool for biomedical literature retrieval. BIBM Yuanyuan Zhang, Liang Dong, Lin Li, Pradip K. Srimani, Philip S. Yu, James Z. Wang
2013	A*	`conf`	Graph stream classification using labeled and unlabeled graphs. ICDE Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2013	—	`conf`	Guide Query in Social Networks. WAIM Yu-Chieh Lin, Philip S. Yu, Ming-Syan Chen
2013	J	`jnl`	HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks. CoRR Chuan Shi, Xiangnan Kong, Yue Huang, Philip S. Yu, Bin Wu
2013	A	`conf`	Inferring anchor links across multiple heterogeneous social networks. CIKM Xiangnan Kong, Jiawei Zhang, Philip S. Yu
2013	A*	`conf`	Inferring distant-time location in low-sampling-rate trajectories. KDD Meng-Fen Chiang, Yung-Hsiang Lin, Wen-Chih Peng, Philip S. Yu
2013	A*	`conf`	Inferring social roles and statuses in social networks. KDD Yuchen Zhao, Guan Wang, Philip S. Yu, Shaobo Liu, Simon Zhang
2013	—	`conf`	Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network. PAKDD (1) Ran Wang, Chuan Shi, Philip S. Yu, Bin Wu
2013	A*	`conf`	LAFT-Explorer: inferring, visualizing and predicting how your social network expands. KDD Jun Zhang, Chaokun Wang, Yuanchi Ning, Yichi Liu, Jianmin Wang, Philip S. Yu
2013	A	`conf`	LaFT-tree: perceiving the expansion trace of one's circle of friends in online social networks. WSDM Jun Zhang, Chaokun Wang, Jianmin Wang, Philip S. Yu
2013	B	`conf`	Language independent gender classification on Twitter. ASONAM Jalal S. Alowibdi, Ugo A. Buy, Philip S. Yu
2013	J	`jnl`	Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks. CoRR Guoqiong Liao, Yuchen Zhao, Sihong Xie, Philip S. Yu
2013	A*	`conf`	Learning latent friendship propagation networks with interest awareness for link prediction. SIGIR Jun Zhang, Chaokun Wang, Philip S. Yu, Jianmin Wang
2013	A	`conf`	MODS: Multiple One-class Data Streams Learning from Homogeneous Data. SDM Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu
2013	—	`conf`	Measure the Semantic Similarity of GO Terms Using Aggregate Information Content. ISBRA Xuebo Song, Lin Li, Pradip K. Srimani, Philip S. Yu, James Z. Wang
2013	J	`jnl`	Meta Path-Based Collective Classification in Heterogeneous Information Networks CoRR Xiangnan Kong, Bokai Cao, Philip S. Yu, Ying Ding, David J. Wild
2013	—	`conf`	Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction. PAKDD (1) Zhung-Xun Liao, Wen-Chih Peng, Philip S. Yu
2013	A*	`conf`	Mining high utility episodes in complex event sequences. KDD Cheng-Wei Wu, Yu-Feng Lin, Philip S. Yu, Vincent S. Tseng
2013	J	`jnl`	Mining interesting user behavior patterns in mobile commerce environments. Appl. Intell. Bai-En Shie, Philip S. Yu, Vincent S. Tseng
2013	A	`conf`	Monitoring and mining GPS traces in transit space. SDM Leon Stenneth, Philip S. Yu
2013	A*	`conf`	Multi-label classification by mining label and instance correlations from heterogeneous information networks. KDD Xiangnan Kong, Bokai Cao, Philip S. Yu
2013	A*	`conf`	Multilabel Consensus Classification. ICDM Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu
2013	J	`jnl`	Multilabel Consensus Classification. CoRR Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu
2013	J	`jnl`	On Graph Stream Clustering with Side Information CoRR Yuchen Zhao, Philip S. Yu
2013	A	`conf`	On Graph Stream Clustering with Side Information. SDM Philip S. Yu, Yuchen Zhao
2013	A*	`conf`	On Pattern Preserving Graph Generation. ICDM Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Chih-Ya Shen, Ming-Syan Chen
2013	—	`conf`	On optimal worst-case matching. SIGMOD Conference Cheng Long, Raymond Chi-Wing Wong, Philip S. Yu, Minhao Jiang
2013	A*	`conf`	On the Feature Discovery for App Usage Prediction in Smartphones. ICDM Zhung-Xun Liao, Shou-Chung Li, Wen-Chih Peng, Philip S. Yu, Te-Chuan Liu
2013	J	`jnl`	On the Feature Discovery for App Usage Prediction in Smartphones. CoRR Zhung-Xun Liao, Shou-Chung Li, Wen-Chih Peng, Philip S. Yu
2013	—	`conf`	One-Class Transfer Learning with Uncertain Data. PAKDD (1) Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao
2013	J	`jnl`	PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu
2013	J	`jnl`	Pattern Based Graph Generator CoRR Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Chih-Ya Shen, Ming-Syan Chen
2013	A*	`conf`	Predicting Social Links for New Users across Aligned Heterogeneous Social Networks. ICDM Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2013	J	`jnl`	Predicting Social Links for New Users across Aligned Heterogeneous Social Networks. CoRR Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2013	J	`jnl`	Predicting Trends in Social Networks via Dynamic Activeness Model. CoRR Shuyang Lin, Xiangnan Kong, Philip S. Yu
2013	A	`conf`	Predicting trends in social networks via dynamic activeness model. CIKM Shuyang Lin, Xiangnan Kong, Philip S. Yu
2013	C	`conf`	Privacy Preserving Graph Publication in a Distributed Environment. APWeb Mingxuan Yuan, Lei Chen, Philip S. Yu, Hong Mei
2013	—	`conf`	Privacy Preserving Social Network Publication against Mutual Friend Attacks. ICDM Workshops Chong-Jing Sun, Philip S. Yu, Xiangnan Kong, Yan Fu
2013	—	`ed.`	Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2013, Chicago, IL, USA, August 11, 2013 BigMine Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
2013	J	`jnl`	Protecting Sensitive Labels in Social Network Data Anonymization. IEEE Trans. Knowl. Data Eng. Mingxuan Yuan, Lei Chen, Philip S. Yu, Ting Yu
2013	A*	`conf`	RECODS: Replica consistency-on-demand store. ICDE Yuqing Zhu, Philip S. Yu, Jianmin Wang
2013	—	`conf`	Real-Time Street Parking Availability Estimation. MDM (1) Bo Xu, Ouri Wolfson, Jie Yang, Leon Stenneth, Philip S. Yu, Peter C. Nelson
2013	A	`conf`	Robust Textual Data Streams Mining Based on Continuous Transfer Learning. SDM Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu
2013	C	`conf`	Silence behavior mining on online social networks. CollaborateCom Qingbo Hu, Guan Wang, Shuyang Lin, Philip S. Yu
2013	J	`jnl`	Social network and high performance in smart communications. J. Supercomput. Jongsung Kim, Philip S. Yu, Nasrullah Memon
2013	J	`jnl`	Special issue on behavior computing. Knowl. Inf. Syst. Longbing Cao, Philip S. Yu, Hiroshi Motoda, Graham J. Williams
2013	J	`jnl`	Structural Diversity for Resisting Community Identification in Published Social Networks CoRR Chih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen
2013	A*	`conf`	Towards Cohesive Anomaly Mining. AAAI Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei
2013	A*	`conf`	Transfer Feature Learning with Joint Distribution Adaptation. ICCV Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu
2013	A*	`conf`	Transfer Sparse Coding for Robust Image Representation. CVPR Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu
2013	J	`jnl`	Transfer across Completely Different Feature Spaces via Spectral Embedding. IEEE Trans. Knowl. Data Eng. Xiaoxiao Shi, Qi Liu, Wei Fan, Philip S. Yu
2013	J	`jnl`	Willingness Optimization for Social Group Activity CoRR Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Ming-Syan Chen
2013	J	`jnl`	Willingness Optimization for Social Group Activity. Proc. VLDB Endow. Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Ming-Syan Chen
2012	J	`jnl`	A brief introduction to agent mining. Auton. Agents Multi Agent Syst. Longbing Cao, Gerhard Weiss, Philip S. Yu
2012	Misc	`conf`	A profile-based framework for interaction prediction. GrC Zhung-Xun Liao, Wen-Chih Peng, Philip S. Yu
2012	—	`ed.`	Agents and Data Mining Interaction - 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers ADMI Longbing Cao, Ana L. C. Bazzan, Andreas L. Symeonidis, Vladimir Gorodetsky, Gerhard Weiss, Philip S. Yu
2012	A	`conf`	An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing. SDM Sihong Xie, Wei Fan, Philip S. Yu
2012	A*	`conf`	Attribute-Based Subsequence Matching and Mining. ICDE Yu Peng, Raymond Chi-Wing Wong, Liangliang Ye, Philip S. Yu
2012	—	`book`	Behavior Computing - Modeling, Analysis, Mining and Decision. Longbing Cao, Philip S. Yu
2012	A*	`conf`	Community detection in incomplete information networks. WWW Wangqun Lin, Xiangnan Kong, Philip S. Yu, Quanyuan Wu, Yan Jia, Chuan Li
2012	J	`jnl`	Coupled Behavior Analysis with Applications. IEEE Trans. Knowl. Data Eng. Longbing Cao, Yuming Ou, Philip S. Yu
2012	A*	`conf`	Dimensionality Reduction on Heterogeneous Feature Space. ICDM Xiaoxiao Shi, Philip S. Yu
2012	—	`conf`	Discovering geometric patterns in genomic data. BCB Wenxuan Gao, Lijia Ma, Christopher Brown, Matthew Slattery, Philip S. Yu, Robert L. Grossman, Kevin P. White
2012	A	`conf`	Diversionary comments under political blog posts. CIKM Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng
2012	J	`jnl`	Early classification on time series. Knowl. Inf. Syst. Zhengzheng Xing, Jian Pei, Philip S. Yu
2012	—	`conf`	Effective Next-Items Recommendation via Personalized Sequential Pattern Mining. DASFAA (2) Ghim-Eng Yap, Xiaoli Li, Philip S. Yu
2012	J	`jnl`	Efficient algorithms for mining maximal high utility itemsets from data streams with different models. Expert Syst. Appl. Bai-En Shie, Philip S. Yu, Vincent S. Tseng
2012	J	`jnl`	Exploring latent browsing graph for question answering recommendation. World Wide Web Meng-Fen Chiang, Wen-Chih Peng, Philip S. Yu
2012	J	`jnl`	Gateway finder in large graphs: problem definitions and fast solutions. Inf. Retr. Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad
2012	J	`jnl`	Generative Models for Evolutionary Clustering. ACM Trans. Knowl. Discov. Data Tianbing Xu, Zhongfei Zhang, Philip S. Yu, Bo Long
2012	J	`jnl`	Guest editorial: special issue on data mining technologies for computational social science. Data Min. Knowl. Discov. Fei Wang, Hanghang Tong, Philip S. Yu, Charu C. Aggarwal
2012	A*	`conf`	HeteRecom: a semantic-based recommendation systemin heterogeneous networks. KDD Chuan Shi, Chong Zhou, Xiangnan Kong, Philip S. Yu, Gang Liu, Bai Wang
2012	J	`jnl`	Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining. Trans. Large Scale Data Knowl. Centered Syst. Frederic T. Stahl, Mohamed Medhat Gaber, Paul Aldridge, David May, Han Liu, Max Bramer, Philip S. Yu
2012	J	`jnl`	Identify Online Store Review Spammers via Social Review Graph. ACM Trans. Intell. Syst. Technol. Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu
2012	J	`jnl`	Implementation of Privacy-preserving SimRank over Distributed Information Network CoRR Yu-Wei Chu, Chih-Hua Tai, Ming-Syan Chen, Philip S. Yu
2012	A	`conf`	Influence and similarity on heterogeneous networks. CIKM Guan Wang, Qingbo Hu, Philip S. Yu
2012	A*	`conf`	Integrating meta-path selection with user-guided object clustering in heterogeneous information networks. KDD Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu
2012	J	`jnl`	Latency Bounding by Trading off Consistency in NoSQL Store: A Staging and Stepwise Approach CoRR Yuqing Zhu, Philip S. Yu, Jianmin Wang
2012	A	`conf`	Learning from Heterogeneous Sources via Gradient Boosting Consensus. SDM Xiaoxiao Shi, Jean-François Paiement, David Grangier, Philip S. Yu
2012	B	`conf`	Limiting link disclosure in social network analysis through subgraph-wise perturbation. EDBT Amin Milani Fard, Ke Wang, Philip S. Yu
2012	A*	`conf`	Magnet community identification on social networks. KDD Guan Wang, Yuchen Zhao, Xiaoxiao Shi, Philip S. Yu
2012	A	`conf`	Meta path-based collective classification in heterogeneous information networks. CIKM Xiangnan Kong, Philip S. Yu, Ying Ding, David J. Wild
2012	J	`jnl`	Mining Frequent Itemsets over Uncertain Databases CoRR Yongxin Tong, Lei Chen, Yurong Cheng, Philip S. Yu
2012	J	`jnl`	Mining Frequent Itemsets over Uncertain Databases. Proc. VLDB Endow. Yongxin Tong, Lei Chen, Yurong Cheng, Philip S. Yu
2012	A*	`conf`	Mining Knowledge from Data: An Information Network Analysis Approach. ICDE Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
2012	J	`jnl`	Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach. Proc. VLDB Endow. Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu
2012	A*	`conf`	Mining top-K high utility itemsets. KDD Cheng-Wei Wu, Bai-En Shie, Vincent S. Tseng, Philip S. Yu
2012	J	`jnl`	Mobile Systems Privacy: 'MobiPriv' A Robust System for Snapshot or Continuous Querying Location Based Mobile Systems. Trans. Data Priv. Leon Stenneth, Philip S. Yu
2012	J	`jnl`	Modeling blogger influence in a community. Soc. Netw. Anal. Min. Nitin Agarwal, Huan Liu, Lei Tang, Philip S. Yu
2012	A	`conf`	Multi-Objective Multi-Label Classification. SDM Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang
2012	A	`conf`	On Dynamic Link Inference in Heterogeneous Networks. SDM Charu C. Aggarwal, Yan Xie, Philip S. Yu
2012	A	`conf`	On Influential Node Discovery in Dynamic Social Networks. SDM Charu C. Aggarwal, Shuyang Lin, Philip S. Yu
2012	A*	`conf`	On Text Clustering with Side Information. ICDE Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu
2012	J	`jnl`	On the network effect in Web 2.0 applications. Electron. Commer. Res. Appl. Charu C. Aggarwal, Philip S. Yu
2012	J	`jnl`	Overlapping community detection combining content and link. J. Zhejiang Univ. Sci. C Zhouzhou He, Zhongfei (Mark) Zhang, Philip S. Yu
2012	B	`conf`	PhonePark: Street Parking Using Mobile Phones. MDM Leon Stenneth, Ouri Wolfson, Bo Xu, Philip S. Yu
2012	A*	`conf`	Privacy-Preserving SimRank over Distributed Information Network. ICDM Yu-Wei Chu, Chih-Hua Tai, Ming-Syan Chen, Philip S. Yu
2012	—	`ed.`	Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2012, Beijing, China, August 12, 2012 BigMine Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
2012	B	`conf`	Relevance search in heterogeneous networks. EDBT Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie, Bin Wu
2012	A*	`conf`	Review spam detection via temporal pattern discovery. KDD Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu
2012	—	`conf`	Review spam detection via time series pattern discovery. WWW (Companion Volume) Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu
2012	B	`conf`	Searching by corpus with fingerprints. EDBT Charu C. Aggarwal, Wangqun Lin, Philip S. Yu
2012	A	`conf`	Transfer Significant Subgraphs across Graph Databases. SDM Xiaoxiao Shi, Xiangnan Kong, Philip S. Yu
2012	A*	`conf`	UFIMT: an uncertain frequent itemset mining toolbox. KDD Yongxin Tong, Lei Chen, Philip S. Yu
2012	J	`jnl`	gMLC: a multi-label feature selection framework for graph classification. Knowl. Inf. Syst. Xiangnan Kong, Philip S. Yu
2011	A*	`conf`	ADANA: Active Name Disambiguation. ICDM Xuezhi Wang, Jie Tang, Hong Cheng, Philip S. Yu
2011	C	`conf`	An ensemble-based approach to fast classification of multi-label data streams. CollaborateCom Xiangnan Kong, Philip S. Yu
2011	A	`conf`	CP-index: on the efficient indexing of large graphs. CIKM Yan Xie, Philip S. Yu
2011	J	`jnl`	Can the Utility of Anonymized Data be Used for Privacy Breaches? ACM Trans. Knowl. Discov. Data Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Philip S. Yu, Jian Pei
2011	A	`conf`	Collective prediction with latent graphs. CIKM Xiaoxiao Shi, Yao Li, Philip S. Yu
2011	A*	`conf`	Differentially private data release for data mining. KDD Noman Mohammed, Rui Chen, Benjamin C. M. Fung, Philip S. Yu
2011	—	`conf`	Discovering Valuable User Behavior Patterns in Mobile Commerce Environments. PAKDD Workshops Bai-En Shie, Hui-Fang Hsiao, Philip S. Yu, Vincent S. Tseng
2011	A*	`conf`	Discovering shakers from evolving entities via cascading graph inference. KDD Xiaoxiao Shi, Wei Fan, Jianping Zhang, Philip S. Yu
2011	C	`conf`	Distributed Classification for Pocket Data Mining. ISMIS Frederic T. Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, Philip S. Yu
2011	—	`conf`	Distributed hoeffding trees for pocket data mining. HPCS Frederic T. Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu
2011	A*	`conf`	Dual active feature and sample selection for graph classification. KDD Xiangnan Kong, Wei Fan, Philip S. Yu
2011	—	`conf`	ECODE: Event-Based Community Detection from Social Networks. DASFAA (1) Xiaoli Li, Aloysius Tan, Philip S. Yu, See-Kiong Ng
2011	A*	`conf`	Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets. ICDM Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, Vincent S. Tseng
2011	J	`jnl`	Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns. IEEE Trans. Knowl. Data Eng. Ja-Hwung Su, Wei-Jyun Huang, Philip S. Yu, Vincent S. Tseng
2011	—	`conf`	Efficient Topological OLAP on Information Networks. DASFAA (1) Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li
2011	A	`conf`	Extracting Interpretable Features for Early Classification on Time Series. SDM Zhengzheng Xing, Jian Pei, Philip S. Yu, Ke Wang
2011	J	`jnl`	Graph Pattern Matching: A Join/Semijoin Approach. IEEE Trans. Knowl. Data Eng. Jiefeng Cheng, Jeffrey Xu Yu, Philip S. Yu
2011	A*	`conf`	Identities Anonymization in Dynamic Social Networks. ICDM Chih-Hua Tai, Peng-Jui Tseng, Philip S. Yu, Ming-Syan Chen
2011	J	`jnl`	InfoNetOLAPer: Integrating InfoNetWarehouse and InfoNetCube with InfoNetOLAP. Proc. VLDB Endow. Chuan Li, Philip S. Yu, Lei Zhao, Yan Xie, Wangqun Lin
2011	C	`conf`	Information Networks Mining and Analysis. APWeb Philip S. Yu
2011	J	`jnl`	Leadership discovery when data correlatively evolve. World Wide Web Di Wu, Yiping Ke, Jeffrey Xu Yu, Philip S. Yu, Lei Chen
2011	J	`jnl`	Load Shedding in Mobile Systems with MobiQual. IEEE Trans. Knowl. Data Eng. Bugra Gedik, Kun-Lung Wu, Ling Liu, Philip S. Yu
2011	J	`jnl`	Maximizing bichromatic reverse nearest neighbor for L p -norm in two- and three-dimensional spaces. VLDB J. Raymond Chi-Wing Wong, M. Tamer Özsu, Ada Wai-Chee Fu, Philip S. Yu, Lian Liu, Yubao Liu
2011	J	`jnl`	Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments. IEEE Trans. Knowl. Data Eng. Eric Hsueh-Chan Lu, Vincent S. Tseng, Philip S. Yu
2011	—	`conf`	Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments. DASFAA (1) Bai-En Shie, Hui-Fang Hsiao, Vincent S. Tseng, Philip S. Yu
2011	J	`jnl`	Mining Top-K Large Structural Patterns in a Massive Network. Proc. VLDB Endow. Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu
2011	A	`conf`	Multi-Label Collective Classification. SDM Xiangnan Kong, Xiaoxiao Shi, Philip S. Yu
2011	—	`conf`	Multi-label Ensemble Learning. ECML/PKDD (3) Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang
2011	A*	`conf`	On data dependencies in dataspaces. ICDE Shaoxu Song, Lei Chen, Philip S. Yu
2011	A*	`conf`	On dynamic data-driven selection of sensor streams. KDD Charu C. Aggarwal, Yan Xie, Philip S. Yu
2011	A	`conf`	On selection of objective functions in multi-objective community detection. CIKM Chuan Shi, Philip S. Yu, Yanan Cai, Zhenyu Yan, Bin Wu
2011	A*	`conf`	On the Hardness of Graph Anonymization. ICDM Charu C. Aggarwal, Yao Li, Philip S. Yu
2011	A	`conf`	One-Class-Based Uncertain Data Stream Learning. SDM Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu
2011	J	`jnl`	One-class learning and concept summarization for data streams. Knowl. Inf. Syst. Xingquan Zhu, Wei Ding, Philip S. Yu, Chengqi Zhang
2011	A*	`conf`	Outlier detection in graph streams. ICDE Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu
2011	J	`jnl`	PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks. Proc. VLDB Endow. Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu
2011	A	`conf`	Pattern change discovery between high dimensional data sets. CIKM Yi Xu, Zhongfei Zhang, Philip S. Yu, Bo Long
2011	A*	`conf`	Positive and Unlabeled Learning for Graph Classification. ICDM Yuchen Zhao, Xiangnan Kong, Philip S. Yu
2011	A*	`conf`	Privacy-preserving social network publication against friendship attacks. KDD Chih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen
2011	J	`jnl`	Processing high data rate streams in System S. J. Parallel Distributed Comput. Henrique Andrade, Bugra Gedik, Kun-Lung Wu, Philip S. Yu
2011	A*	`conf`	Review Graph Based Online Store Review Spammer Detection. ICDM Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu
2011	A	`conf`	Structural Diversity for Privacy in Publishing Social Networks. SDM Chih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen
2011	A	`conf`	Towards Community Detection in Locally Heterogeneous Networks. SDM Charu C. Aggarwal, Yan Xie, Philip S. Yu
2011	—	`conf`	Transportation mode detection using mobile phones and GIS information. GIS Leon Stenneth, Ouri Wolfson, Philip S. Yu, Bo Xu
2011	J	`jnl`	WF-MSB: A weighted fuzzy-based biclustering method for gene expression data. Int. J. Data Min. Bioinform. Lien-Chin Chen, Philip S. Yu, Vincent S. Tseng
2010	—	`conf`	A Comparison of Objective Functions in Network Community Detection. ICDM Workshops Chuan Shi, Yanan Cai, Philip S. Yu, Zhenyu Yan, Bin Wu
2010	J	`jnl`	A framework for clustering massive graph streams. Stat. Anal. Data Min. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu
2010	J	`jnl`	A general framework for relation graph clustering. Knowl. Inf. Syst. Bo Long, Zhongfei Zhang, Philip S. Yu
2010	J	`jnl`	A motion-aware safe period-based framework for spatial alarm processing. Comput. Syst. Sci. Eng. Bhuvan Bamba, Ling Liu, Philip S. Yu
2010	J	`jnl`	ACM TKDD Special Issue on Knowledge Discovery for Web Intelligence. ACM Trans. Knowl. Discov. Data Ning Zhong, Gregory Piatetsky-Shapiro, Yiyu Yao, Philip S. Yu
2010	—	`ed.`	Agents and Data Mining Interaction, 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers ADMI Longbing Cao, Ana L. C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, Gerhard Weiss, Philip S. Yu
2010	—	`conf`	BASSET: Scalable Gateway Finder in Large Graphs. PAKDD (2) Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad
2010	—	`ch.`	Community Evolution and Change Point Detection in Time-Evolving Graphs. Link Mining Jimeng Sun, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos
2010	—	`conf`	Detecting Leaders from Correlated Time Series. DASFAA (1) Di Wu, Yiping Ke, Jeffrey Xu Yu, Philip S. Yu, Lei Chen
2010	A*	`conf`	Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors. KDD Longbing Cao, Yuming Ou, Philip S. Yu, Gang Wei
2010	J	`jnl`	Discriminative frequent subgraph mining with optimality guarantees. Stat. Anal. Data Min. Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt
2010	A*	`conf`	Efficient Semi-supervised Spectral Co-clustering with Constraints. ICDM Xiaoxiao Shi, Wei Fan, Philip S. Yu
2010	—	`conf`	Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools. IHI Aaron M. Cohen, Clive E. Adams, John M. Davis, Clement T. Yu, Philip S. Yu, Weiyi Meng, Lorna Duggan, Marian McDonagh, Neil R. Smalheiser
2010	A*	`conf`	Exploiting Local Data Uncertainty to Boost Global Outlier Detection. ICDM Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S. Yu
2010	C	`conf`	Global privacy and transportation mode homogeneity anonymization in location based mobile systems with continuous queries. CollaborateCom Leon Stenneth, Philip S. Yu
2010	J	`jnl`	Guest Editors' Introduction: Social Computing in the Blogosphere. IEEE Internet Comput. Huan Liu, Philip S. Yu, Nitin Agarwal, Torsten Suel
2010	—	`ch.`	InfoNetOLAP: OLAP and Mining of Information Networks. Link Mining Chen Chen, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Raghu Ramakrishnan
2010	J	`jnl`	Introduction to the Domain-Driven Data Mining Special Section. IEEE Trans. Knowl. Data Eng. Chengqi Zhang, Philip S. Yu, David A. Bell
2010	J	`jnl`	Limitations of matrix completion via trace norm minimization. SIGKDD Explor. Xiaoxiao Shi, Philip S. Yu
2010	—	`book`	Link Mining: Models, Algorithms, and Applications Link Mining Philip S. Yu, Jiawei Han, Christos Faloutsos
2010	—	`ch.`	Machine Learning Approaches to Link-Based Clustering. Link Mining Zhongfei Zhang, Bo Long, Zhen Guo, Tianbing Xu, Philip S. Yu
2010	A*	`conf`	Max-Clique: A Top-Down Graph-Based Approach to Frequent Pattern Mining. ICDM Yan Xie, Philip S. Yu
2010	—	`ch.`	Mining Concept-Drifting Data Streams. Data Mining and Knowledge Discovery Handbook Haixun Wang, Philip S. Yu, Jiawei Han
2010	—	`conf`	Mining Diversity on Networks. DASFAA (1) Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei Han, Philip S. Yu, Shiqiang Yang
2010	—	`conf`	Mining knowledge from databases: an information network analysis approach. SIGMOD Conference Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
2010	B	`conf`	Mobile systems location privacy: "MobiPriv" a robust k anonymous system. WiMob Leon Stenneth, Philip S. Yu, Ouri Wolfson
2010	A*	`conf`	Multi-label Feature Selection for Graph Classification. ICDM Xiangnan Kong, Philip S. Yu
2010	J	`jnl`	Music Recommendation Using Content and Context Information Mining. IEEE Intell. Syst. Ja-Hwung Su, Hsin-Ho Yeh, Philip S. Yu, Vincent S. Tseng
2010	A	`conf`	On Classification of High-Cardinality Data Streams. SDM Charu C. Aggarwal, Philip S. Yu
2010	A	`conf`	On Clustering Graph Streams. SDM Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu
2010	J	`jnl`	On Dense Pattern Mining in Graph Streams. Proc. VLDB Endow. Charu C. Aggarwal, Yao Li, Philip S. Yu, Ruoming Jin
2010	J	`jnl`	On clustering massive text and categorical data streams. Knowl. Inf. Syst. Charu C. Aggarwal, Philip S. Yu
2010	A	`conf`	On wavelet decomposition of uncertain time series data sets. CIKM Yuchen Zhao, Charu C. Aggarwal, Philip S. Yu
2010	Misc	`conf`	Online mining of temporal maximal utility itemsets from data streams. SAC Bai-En Shie, Vincent S. Tseng, Philip S. Yu
2010	J	`jnl`	Optimal distance bounds for fast search on compressed time-series query logs. ACM Trans. Web Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu
2010	A	`conf`	Orientation distance-based discriminative feature extraction for multi-class classification. CIKM Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu
2010	J	`jnl`	Personalized Privacy Protection in Social Networks. Proc. VLDB Endow. Mingxuan Yuan, Lei Chen, Philip S. Yu
2010	—	`conf`	Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments. ICTAI (2) Frederic T. Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu
2010	A	`conf`	Predictive Modeling with Heterogeneous Sources. SDM Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip S. Yu
2010	J	`jnl`	Privacy-preserving data publishing: A survey of recent developments. ACM Comput. Surv. Benjamin C. M. Fung, Ke Wang, Rui Chen, Philip S. Yu
2010	A*	`conf`	Probabilistic Inference Protection on Anonymized Data. ICDM Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu
2010	—	`ed.`	Proceedings of the 2010 Conference on Intelligent Data Understanding, CIDU 2010, October 5-6, 2010, Mountain View, California, USA CIDU Ashok N. Srivastava, Nitesh V. Chawla, Philip S. Yu, Paul Melby
2010	—	`ch.`	Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions. Link Mining Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos
2010	J	`jnl`	Rights protection of trajectory datasets with nearest-neighbor preservation. VLDB J. Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu
2010	—	`ch.`	Scalable Link-Based Similarity Computation and Clustering. Link Mining Xiaoxin Yin, Jiawei Han, Philip S. Yu
2010	A*	`conf`	Semi-supervised feature selection for graph classification. KDD Xiangnan Kong, Philip S. Yu
2010	—	`ch.`	Time Sensitive Ranking with Application to Publication Search. Link Mining Xin Li, Bing Liu, Philip S. Yu
2010	A*	`conf`	Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation. ICDM Xiaoxiao Shi, Qi Liu, Wei Fan, Philip S. Yu, Ruixin Zhu
2010	A*	`conf`	UP-Growth: an efficient algorithm for high utility itemset mining. KDD Vincent S. Tseng, Cheng-Wei Wu, Bai-En Shie, Philip S. Yu
2010	—	`ch.`	Veracity Analysis and Object Distinction. Link Mining Xiaoxin Yin, Jiawei Han, Philip S. Yu
2010	—	`conf`	Vote-Based LELC for Positive and Unlabeled Textual Data Streams. ICDM Workshops Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu
2010	A*	`conf`	k-Support anonymity based on pseudo taxonomy for outsourcing of frequent itemset mining. KDD Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen
2009	J	`jnl`	A Survey of Uncertain Data Algorithms and Applications. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Philip S. Yu
2009	—	`ed.`	Agents and Data Mining Interaction, 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15, 2009, Revised Selected Papers ADMI Longbing Cao, Vladimir Gorodetsky, Jiming Liu, Gerhard Weiss, Philip S. Yu
2009	J	`jnl`	Anonymization with Worst-Case Distribution-Based Background Knowledge CoRR Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu
2009	J	`jnl`	Answering linear optimization queries with an approximate stream index. Knowl. Inf. Syst. Gang Luo, Kun-Lung Wu, Philip S. Yu
2009	—	`ch.`	Association Rule Mining on Streams. Encyclopedia of Database Systems Philip S. Yu, Yun Chi
2009	J	`jnl`	Behavior Informatics: An Informatics Perspective for Behavior Studies. IEEE Intell. Informatics Bull. Longbing Cao, Philip S. Yu
2009	J	`jnl`	Can the Utility of Anonymized Data be used for Privacy Breaches? CoRR Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Philip S. Yu
2009	J	`jnl`	CellJoin: a parallel stream join operator for the cell processor. VLDB J. Bugra Gedik, Rajesh Bordawekar, Philip S. Yu
2009	A*	`conf`	Connecting Sparsely Distributed Similar Bloggers. ICDM Nitin Agarwal, Huan Liu, Shankara B. Subramanya, John J. Salerno, Philip S. Yu
2009	J	`jnl`	Density-based clustering of data streams at multiple resolutions. ACM Trans. Knowl. Discov. Data Li Wan, Wee Keong Ng, Xuan-Hong Dang, Philip S. Yu, Kuan Zhang
2009	A	`conf`	Distributed Processing of Spatial Alarms: A Safe Region-Based Approach. ICDCS Bhuvan Bamba, Ling Liu, Arun Iyengar, Philip S. Yu
2009	A*	`conf`	Early Prediction on Time Series: A Nearest Neighbor Approach. IJCAI Zhengzheng Xing, Jian Pei, Philip S. Yu
2009	—	`conf`	Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases. ICDM Workshops Jia-Ching Ying, Vincent S. Tseng, Philip S. Yu
2009	J	`jnl`	Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor. Proc. VLDB Endow. Raymond Chi-Wing Wong, M. Tamer Özsu, Philip S. Yu, Ada Wai-Chee Fu, Lian Liu
2009	J	`jnl`	Embedding and Retrieving Private Metadata in Electrocardiograms. J. Medical Syst. Suleyman Serdar Kozat, Michail Vlachos, Claudio Lucchese, Helga Van Herle, Philip S. Yu
2009	J	`jnl`	G-SESAME: web tools for GO-term-based gene similarity analysis and knowledge discovery. Nucleic Acids Res. Zhidian Du, Lin Li, Chin-Fu Chen, Philip S. Yu, James Z. Wang
2009	J	`jnl`	GConnect: A Connectivity Index for Massive Disk-resident Graphs. Proc. VLDB Endow. Charu C. Aggarwal, Yan Xie, Philip S. Yu
2009	J	`jnl`	Graph OLAP: a multi-dimensional framework for graph data analysis. Knowl. Inf. Syst. Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu
2009	A*	`ed.`	ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009 ICDM Wei Wang, Hillol Kargupta, Sanjay Ranka, Philip S. Yu, Xindong Wu
2009	—	`ed.`	ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009 ICDM Workshops Yücel Saygin, Jeffrey Xu Yu, Hillol Kargupta, Wei Wang, Sanjay Ranka, Philip S. Yu, Xindong Wu
2009	J	`jnl`	Information discovery across multiple streams. Inf. Sci. Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu
2009	J	`jnl`	Introduction to special issue on social computing, behavioral modeling, and prediction. ACM Trans. Knowl. Discov. Data Huan Liu, John J. Salerno, Michael Young, Rakesh Agrawal, Philip S. Yu
2009	A	`conf`	Near-optimal Supervised Feature Selection among Frequent Subgraphs. SDM Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt
2009	A*	`conf`	On Efficient Query Processing of Stream Counts on the Cell Processor. ICDE Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal, Philip S. Yu
2009	B	`conf`	Online Auctions: There Can Be Only One. CEC Charu C. Aggarwal, Philip S. Yu
2009	J	`jnl`	Online pairing of VoIP conversations. VLDB J. Michail Vlachos, Aris Anagnostopoulos, Olivier Verscheure, Philip S. Yu
2009	A	`conf`	Optimal Distance Bounds on Time-Series Data. SDM Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu
2009	B	`conf`	PROUD: a probabilistic approach to processing similarity queries over uncertain data streams. EDBT Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
2009	A	`conf`	Positive Unlabeled Learning for Data Stream Classification. SDM Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng
2009	A*	`conf`	Privacy-Preserving Singular Value Decomposition. ICDE Shuguo Han, Wee Keong Ng, Philip S. Yu
2009	B	`conf`	Scalable OLAP and mining of information networks. EDBT Jiawei Han, Xifeng Yan, Philip S. Yu
2009	A*	`conf`	Scale-Up Strategies for Processing High-Rate Data Streams in System S. ICDE Henrique Andrade, Bugra Gedik, Kun-Lung Wu, Philip S. Yu
2009	—	`conf`	Why Naive Ensembles Do Not Work in Cloud Computing. ICDM Workshops Wenxuan Gao, Robert L. Grossman, Philip S. Yu, Yunhong Gu
2008	A	`conf`	A Context-Driven Content Adaptation Planner for Improving Mobile Internet Accessibility. ICWS Stephen J. H. Yang, Jia Zhang, Angus F. M. Huang, Jeffrey J. P. Tsai, Philip S. Yu
2008	A*	`conf`	A Framework for Clustering Uncertain Data Streams. ICDE Charu C. Aggarwal, Philip S. Yu
2008	A	`conf`	A General Model for Multiple View Unsupervised Learning. SDM Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
2008	—	`ch.`	A General Survey of Privacy-Preserving Data Mining Models and Algorithms. Privacy-Preserving Data Mining Charu C. Aggarwal, Philip S. Yu
2008	A*	`conf`	A Sampling-Based Approach to Information Recovery. ICDE Junyi Xie, Jun Yang, Yuguo Chen, Haixun Wang, Philip S. Yu
2008	—	`ch.`	A Survey of Randomization Methods for Privacy-Preserving Data Mining. Privacy-Preserving Data Mining Charu C. Aggarwal, Philip S. Yu
2008	J	`jnl`	A framework for condensation-based anonymization of string data. Data Min. Knowl. Discov. Charu C. Aggarwal, Philip S. Yu
2008	A	`conf`	A holistic lexicon-based approach to opinion mining. WSDM Xiaowen Ding, Bing Liu, Philip S. Yu
2008	—	`ch.`	An Introduction to Privacy-Preserving Data Mining. Privacy-Preserving Data Mining Charu C. Aggarwal, Philip S. Yu
2008	A*	`conf`	Anonymizing transaction databases for publication. KDD Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu
2008	—	`ch.`	Approximate Frequent Itemset Mining In the Presence of Random Noise. Soft Computing for Knowledge Discovery and Data Mining Hong Cheng, Philip S. Yu, Jiawei Han
2008	J	`jnl`	Classifying Data Streams with Skewed Class Distributions and Concept Drifts. IEEE Internet Comput. Jing Gao, Bolin Ding, Wei Fan, Jiawei Han, Philip S. Yu
2008	A*	`conf`	Clustering on Complex Graphs. AAAI Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tianbing Xu
2008	A*	`conf`	Colibri: fast mining of large static and dynamic graphs. KDD Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos
2008	—	`conf`	Combining near-optimal feature selection with gSpan. MLG@ICML Karsten M. Borgwardt, Xifeng Yan, Marisa Thoma, Hong Cheng, Arthur Gretton, Le Song, Alex Smola, Jiawei Han, Philip S. Yu, Hans-Peter Kriegel
2008	A	`conf`	Content-based filtering for efficient online materialized view maintenance. CIKM Gang Luo, Philip S. Yu
2008	J	`jnl`	Correlating burst events on streaming stock market data. Data Min. Knowl. Discov. Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2008	J	`jnl`	DAWN: an efficient framework of DCT for data with error estimation. VLDB J. Ming-Jyh Hsieh, Wei-Guang Teng, Ming-Syan Chen, Philip S. Yu
2008	A*	`conf`	Direct Discriminative Pattern Mining for Effective Classification. ICDE Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu
2008	A*	`conf`	Direct mining of discriminative and essential frequent patterns via model-based search tree. KDD Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure
2008	A*	`conf`	Dirichlet Process Based Evolutionary Clustering. ICDM Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long
2008	A	`conf`	Dual encryption for query integrity assurance. CIKM Haixun Wang, Jian Yin, Chang-Shing Perng, Philip S. Yu
2008	A*	`conf`	Efficient Construction of Compact Shedding Filters for Data Stream Processing. ICDE Bugra Gedik, Kun-Lung Wu, Philip S. Yu
2008	A*	`conf`	Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State. ICDM Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long
2008	A*	`conf`	Fast Graph Pattern Matching. ICDE Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S. Yu, Haixun Wang
2008	J	`jnl`	Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs. Stat. Anal. Data Min. Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos
2008	B	`conf`	Fast computing reachability labelings for large graphs with high compression rate. EDBT Jiefeng Cheng, Jeffrey Xu Yu, Xuemin Lin, Haixun Wang, Philip S. Yu
2008	B	`conf`	Forward Semi-supervised Feature Selection. PAKDD Jiangtao Ren, Zhengyuan Qiu, Wei Fan, Hong Cheng, Philip S. Yu
2008	A*	`conf`	Graph OLAP: Towards Online Analytical Processing on Graphs. ICDM Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu
2008	—	`conf`	Hierarchical, Parameter-Free Community Discovery. ECML/PKDD (2) Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu
2008	A	`conf`	Identifying the influential bloggers in a community. WSDM Nitin Agarwal, Huan Liu, Lei Tang, Philip S. Yu
2008	J	`jnl`	Incremental tensor analysis: Theory and applications. ACM Trans. Knowl. Discov. Data Jimeng Sun, Dacheng Tao, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos
2008	A*	`conf`	LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams. ICDE Charu C. Aggarwal, Philip S. Yu
2008	J	`jnl`	LeeWave: level-wise distribution of wavelet coefficients for processing Proc. VLDB Endow. Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
2008	—	`ch.`	Mining Frequent Approximate Sequential Patterns. Next Generation of Data Mining Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
2008	A	`conf`	Mining Sequence Classifiers for Early Prediction. SDM Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. Yu
2008	—	`conf`	Mining significant graph patterns by leap search. SIGMOD Conference Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
2008	A*	`conf`	MobiQual: QoS-aware Load Shedding in Mobile CQ Systems. ICDE Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
2008	A*	`conf`	Multi-Space-Mapped SVMs for Multi-class Classification. ICDM Bo Liu, Longbing Cao, Philip S. Yu, Chengqi Zhang
2008	—	`book`	Next Generation of Data Mining. Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar
2008	A*	`conf`	On High Dimensional Indexing of Uncertain Data. ICDE Charu C. Aggarwal, Philip S. Yu
2008	A	`conf`	On Indexing High Demensional Data with Uncertainty. SDM Charu C. Aggarwal, Philip S. Yu
2008	J	`jnl`	On static and dynamic methods for condensation-based privacy-preserving data mining. ACM Trans. Database Syst. Charu C. Aggarwal, Philip S. Yu
2008	A*	`conf`	Online Failure Forecast for Fault-Tolerant Data Stream Processing. ICDE Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Shu-Ping Chang
2008	A	`conf`	Outlier Detection with Uncertain Data. SDM Charu C. Aggarwal, Philip S. Yu
2008	B	`conf`	Ownership protection of shape datasets with geodesic distance preservation. EDBT Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S. Yu
2008	—	`book`	Privacy-Preserving Data Mining - Models and Algorithms Charu C. Aggarwal, Philip S. Yu
2008	—	`ch.`	Privacy-Preserving Data Mining: A Survey. Handbook of Database Security Charu C. Aggarwal, Philip S. Yu
2008	A	`conf`	Proximity Tracking on Time-Evolving Bipartite Graphs. SDM Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos
2008	A	`conf`	Real-time new event detection for video streams. CIKM Gang Luo, Rong Yan, Philip S. Yu
2008	A*	`conf`	Rights Protection of Trajectory Datasets. ICDE Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu
2008	—	`conf`	SPADE: the system s declarative stream processing engine. SIGMOD Conference Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip S. Yu, Myungcheol Doo
2008	Misc	`conf`	Scalable Processing of Spatial Alarms. HiPC Bhuvan Bamba, Ling Liu, Philip S. Yu, Gong Zhang, Myungcheol Doo
2008	—	`ch.`	Searching for "Familiar Strangers" on Blogosphere. Next Generation of Data Mining Nitin Agarwal, Huan Liu, John J. Salerno, Philip S. Yu
2008	A*	`conf`	Stop Chasing Trends: Discovering High Order Models in Evolving Data. ICDE Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. Yu
2008	J	`jnl`	Storage optimization for large-scale distributed stream-processing systems. ACM Trans. Storage Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Philip S. Yu, Lisa Fleischer, Akshay Katta
2008	—	`conf`	Temperature-Aware Scheduling: When is System-Throttling Good Enough? WAIM Deepak Rajan, Philip S. Yu
2008	A*	`conf`	Time Sensitive Ranking with Application to Publication Search. ICDM Xin Li, Bing Liu, Philip S. Yu
2008	J	`jnl`	Top 10 algorithms in data mining. Knowl. Inf. Syst. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg
2008	A	`conf`	Toward Predictive Failure Management for Distributed Stream Processing Systems. ICDCS Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Shu-Ping Chang
2008	J	`jnl`	Truth Discovery with Multiple Conflicting Information Providers on the Web. IEEE Trans. Knowl. Data Eng. Xiaoxin Yin, Jiawei Han, Philip S. Yu
2008	A	`conf`	Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing. SDM Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu
2008	J	`jnl`	peerTalk: A Peer-to-Peer Multiparty Voice-over-IP System. IEEE Trans. Parallel Distributed Syst. Xiaohui Gu, Zhen Wen, Philip S. Yu, Zon-Yin Shae
2007	B	`conf`	A Distributed Infrastructure Supporting Personalized Services for the Mobile Web. WiMob Claudia Canali, Michele Colajanni, Riccardo Lancellotti, Philip S. Yu
2007	A	`conf`	A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions. SDM Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
2007	A*	`conf`	A Load Shedding Framework and Optimizations for M-way Windowed Stream Joins. ICDE Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
2007	—	`ch.`	A Survey of Synopsis Construction in Data Streams. Data Streams - Models and Algorithms Charu C. Aggarwal, Philip S. Yu
2007	A	`conf`	A System for Keyword Search on Textual Streams. SDM Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu
2007	—	`conf`	A graph-based approach to systematically reconstruct human transcriptional regulatory modules. ISMB/ECCB (Supplement of Bioinformatics) Xifeng Yan, Michael R. Mehan, Yu Huang, Michael S. Waterman, Philip S. Yu, Xianghong Jasmine Zhou
2007	J	`jnl`	A new method to measure the semantic similarity of GO terms. Bioinform. James Zijun Wang, Zhidian Du, Rapeeporn Payattakool, Philip S. Yu, Chin-Fu Chen
2007	A*	`conf`	A probabilistic framework for relational clustering. KDD Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
2007	J	`jnl`	ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks. IEEE Trans. Parallel Distributed Syst. Bugra Gedik, Ling Liu, Philip S. Yu
2007	A*	`conf`	Adaptive Load Diffusion for Multiway Windowed Stream Joins. ICDE Xiaohui Gu, Philip S. Yu, Haixun Wang
2007	—	`conf`	An Efficient Online Tool to Search Top-N Genes with Similar Biological Functions in Gene Ontology Database. BIBM James Zijun Wang, Zhidian Du, Philip S. Yu, Chin-Fu Chen
2007	J	`jnl`	Anonymizing Classification Data for Privacy Preservation. IEEE Trans. Knowl. Data Eng. Benjamin C. M. Fung, Ke Wang, Philip S. Yu
2007	J	`jnl`	Approximate Query Processing in Cube Streams. IEEE Trans. Knowl. Data Eng. Ming-Jyh Hsieh, Ming-Syan Chen, Philip S. Yu
2007	—	`conf`	BLINKS: ranked keyword searches on graphs. SIGMOD Conference Hao He, Haixun Wang, Jun Yang, Philip S. Yu
2007	A*	`conf`	BridgeNet: An Adaptive Multi-Source Stream Dissemination Overlay Network. INFOCOM Xiaohui Gu, Zhen Wen, Philip S. Yu
2007	J	`jnl`	CPU load shedding for binary stream joins. Knowl. Inf. Syst. Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
2007	A*	`conf`	CellSort: High Performance Sorting on the Cell Processor. VLDB Bugra Gedik, Rajesh Bordawekar, Philip S. Yu
2007	A*	`conf`	Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. VLDB Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hildrum, Charu C. Aggarwal, Eric Bouillet, Wei Fan, David George, Xiaohui Gu, Gang Luo, Haixun Wang
2007	A*	`conf`	Community Learning by Graph Approximation. ICDM Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip S. Yu
2007	J	`jnl`	CrossClus: user-guided multi-relational clustering. Data Min. Knowl. Discov. Xiaoxin Yin, Jiawei Han, Philip S. Yu
2007	J	`jnl`	DDDM2007: Domain Driven Data Mining. SIGKDD Explor. Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams
2007	J	`jnl`	Domain-Driven, Actionable Knowledge Discovery. IEEE Intell. Syst. Longbing Cao, Chengqi Zhang, Qiang Yang, David A. Bell, Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu, Ning Zhong, Mafruz Zaman Ashrafi, David Taniar, Eugene Dubossarsky, Warwick Graco
2007	A*	`conf`	Efficient Discovery of Frequent Approximate Sequential Patterns. ICDM Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
2007	A*	`conf`	Executing Stream Joins on the Cell Processor. VLDB Bugra Gedik, Philip S. Yu, Rajesh Bordawekar
2007	J	`jnl`	Fragmental Proxy Caching for Streaming Multimedia Objects. IEEE Trans. Multim. James Zijun Wang, Philip S. Yu
2007	A*	`conf`	GString: A Novel Approach for Efficient Search in Graph Databases. ICDE Haoliang Jiang, Haixun Wang, Philip S. Yu, Shuigeng Zhou
2007	A*	`conf`	Graph Indexing: Tree + Delta >= Graph. VLDB Peixiang Zhao, Jeffrey Xu Yu, Philip S. Yu
2007	A*	`conf`	Graph Partitioning Based on Link Distributions. AAAI Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
2007	A*	`conf`	GraphScope: parameter-free mining of large time-evolving graphs. KDD Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu
2007	J	`jnl`	GrubJoin: An Adaptive, Multi-Way, Windowed Stream Join with Time Correlation-Aware CPU Load Shedding. IEEE Trans. Knowl. Data Eng. Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
2007	J	`jnl`	Handicapping attacker's confidence: an alternative to Knowl. Inf. Syst. Ke Wang, Benjamin C. M. Fung, Philip S. Yu
2007	J	`jnl`	Hiding Sensitive Frequent Itemsets by a Border-Based Approach. J. Comput. Sci. Eng. Xingzhi Sun, Philip S. Yu
2007	A*	`conf`	Lira: Lightweight, Region-aware Load Shedding in Mobile CQ Systems. ICDE Bugra Gedik, Ling Liu, Kun-Lung Wu, Philip S. Yu
2007	A*	`conf`	Mining Colossal Frequent Patterns by Core Pattern Fusion. ICDE Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng
2007	A*	`conf`	Object Distinction: Distinguishing Objects with Identical Names. ICDE Xiaoxin Yin, Jiawei Han, Philip S. Yu
2007	A	`conf`	On Anonymization of String Data. SDM Charu C. Aggarwal, Philip S. Yu
2007	—	`ch.`	On Clustering Massive Data Streams: A Summarization Paradigm. Data Streams - Models and Algorithms Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2007	A	`conf`	On Privacy-Preservation of Text and Sparse Binary Data with Sketches. SDM Charu C. Aggarwal, Philip S. Yu
2007	Misc	`conf`	On Temperature-Aware Scheduling for Single-Processor Systems. HiPC Deepak Rajan, Philip S. Yu
2007	A*	`conf`	On string classification in data streams. KDD Charu C. Aggarwal, Philip S. Yu
2007	A*	`conf`	Relational clustering by symmetric convex coding. ICML Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu
2007	—	`conf`	Resource-adaptive real-time new event detection. SIGMOD Conference Gang Luo, Chunqiang Tang, Philip S. Yu
2007	A*	`conf`	SAO: A Stream Index for Answering Linear Optimization Queries. ICDE Gang Luo, Kun-Lung Wu, Philip S. Yu
2007	A	`conf`	Storage Optimization for Large-Scale Distributed Stream Processing Systems. IPDPS Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Philip S. Yu, Lisa Fleischer, Akshay Katta
2007	B	`conf`	TS-Trees: A Non-Alterable Search Tree Index for Trustworthy Databases on Write-Once-Read-Many (WORM) Storage. AINA Jian Pei, Man Ki Mag Lau, Philip S. Yu
2007	A*	`conf`	Time Series Compressibility and Privacy. VLDB Spiros Papadimitriou, Feifei Li, George Kollios, Philip S. Yu
2007	A*	`conf`	Time-dependent event hierarchy construction. KDD Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu
2007	A	`conf`	Toward Self-Managed Media Stream Processing Service Overlays. ICME Xiaohui Gu, Philip S. Yu
2007	A*	`conf`	Towards Graph Containment Search and Indexing. VLDB Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, Dong-Qing Zhang, Xiaohui Gu
2007	A*	`conf`	Truth discovery with multiple conflicting information providers on the web. KDD Xiaoxin Yin, Jiawei Han, Philip S. Yu
2007	—	`conf`	Visual Exploration of Genomic Data. PKDD Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu
2007	B	`conf`	gPrune: A Constraint Pushing Framework for Graph Pattern Mining. PAKDD Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
2006	A	`conf`	A Framework for Clustering Massive Text and Categorical Data Streams. SDM Charu C. Aggarwal, Philip S. Yu
2006	J	`jnl`	A Framework for On-Demand Classification of Evolving Data Streams. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2006	J	`jnl`	A Holistic Approach for Resource-aware Adaptive Data Stream Mining. New Gener. Comput. Mohamed Medhat Gaber, Philip S. Yu
2006	Misc	`conf`	A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering. SAC Mohamed Medhat Gaber, Philip S. Yu
2006	A*	`conf`	A general framework for accurate and fast regression by data summarization in random decision trees. KDD Wei Fan, Joe McCloskey, Philip S. Yu
2006	A*	`conf`	AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery. ICDM Hong Cheng, Philip S. Yu, Jiawei Han
2006	—	`ed.`	Advances in Web Mining and Web Usage Analysis, 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005, Chicago, IL, USA, August 21, 2005. Revised Papers WebKDD Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij M. Masand, Philip S. Yu
2006	J	`jnl`	Catch the moment: maintaining closed frequent itemsets over a data stream sliding window. Knowl. Inf. Syst. Yun Chi, Haixun Wang, Philip S. Yu, Richard R. Muntz
2006	A*	`conf`	Classification Spanning Private Databases. AAAI Ke Wang, Yabo Xu, Rong She, Philip S. Yu
2006	A	`conf`	Continuous keyword search on multiple text streams. CIKM Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu
2006	J	`jnl`	Detection and Classification of Changes in Evolving Data Streams. Int. J. Inf. Technol. Decis. Mak. Mohamed Medhat Gaber, Philip S. Yu
2006	J	`jnl`	Discovering Frequent Closed Partial Orders from Strings. IEEE Trans. Knowl. Data Eng. Jian Pei, Haixun Wang, Jian Liu, Ke Wang, Jianyong Wang, Philip S. Yu
2006	—	`conf`	Discovering Overlapping Communities of Named Entities. PKDD Xin Li, Bing Liu, Philip S. Yu
2006	A*	`conf`	Discovering Partial Orders in Binary Data. ICDM Deepak Rajan, Philip S. Yu
2006	A*	`conf`	Dual Labeling: Answering Graph Reachability Queries in Constant Time. ICDE Haixun Wang, Hao He, Jun Yang, Philip S. Yu, Jeffrey Xu Yu
2006	J	`jnl`	Efficient Classification across Multiple Database Relations: A CrossMine Approach. IEEE Trans. Knowl. Data Eng. Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu
2006	B	`conf`	Fast Computation of Reachability Labeling for Large Graphs. EDBT Jiefeng Cheng, Jeffrey Xu Yu, Xuemin Lin, Haixun Wang, Philip S. Yu
2006	J	`jnl`	Feature-based similarity search in graph structures. ACM Trans. Database Syst. Xifeng Yan, Feida Zhu, Philip S. Yu, Jiawei Han
2006	A*	`conf`	Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering. ICDM Olivier Verscheure, Michail Vlachos, Aris Anagnostopoulos, Pascal Frossard, Eric Bouillet, Philip S. Yu
2006	A*	`conf`	GPLAG: detection of software plagiarism by program dependence graph analysis. KDD Chao Liu, Chen Chen, Jiawei Han, Philip S. Yu
2006	A*	`conf`	Global distance-based segmentation of trajectories. KDD Aris Anagnostopoulos, Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Philip S. Yu
2006	J	`jnl`	Incremental Processing of Continual Range Queries over Moving Objects. IEEE Trans. Knowl. Data Eng. Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2006	A*	`conf`	LOCI: Load Shedding through Class-Preserving Data Acquisition. ICDM Peng Wang, Haixun Wang, Wei Wang, Baile Shi, Philip S. Yu
2006	A*	`conf`	LinkClus: Efficient Clustering via Heterogeneous Semantic Links. VLDB Xiaoxin Yin, Jiawei Han, Philip S. Yu
2006	A*	`conf`	Local Correlation Tracking in Time Series. ICDM Spiros Papadimitriou, Jimeng Sun, Philip S. Yu
2006	—	`conf`	Mining Community Structure of Named Entities from Web Pages and Blogs. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs Xin Li, Bing Liu, Philip S. Yu
2006	A*	`conf`	Mining, Indexing, and Similarity Search in Graphs and Complex Structures. ICDE Jiawei Han, Xifeng Yan, Philip S. Yu
2006	B	`conf`	Multi-query SQL Progress Indicators. EDBT Gang Luo, Jeffrey F. Naughton, Philip S. Yu
2006	—	`conf`	On Range Query Indexing for Efficient Stream Processing. SUTC (1) Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2006	—	`conf`	On-Demand Index for Efficient Structural Joins. WAIM Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2006	—	`conf`	Optimal multi-scale patterns in time series streams. SIGMOD Conference Spiros Papadimitriou, Philip S. Yu
2006	A	`ed.`	Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006 CIKM Philip S. Yu, Vassilis J. Tsotras, Edward A. Fox, Bing Liu
2006	J	`jnl`	Processing Moving Queries over Moving Objects Using Motion-Adaptive Indexes. IEEE Trans. Knowl. Data Eng. Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
2006	J	`jnl`	Query indexing with containment-encoded intervals for efficient stream processing. Knowl. Inf. Syst. Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2006	—	`conf`	RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings. PKDD Michail Vlachos, Spiros Papadimitriou, Zografoula Vagena, Philip S. Yu
2006	B	`conf`	Resource Adaptive Periodicity Estimation of Streaming Data. EDBT Michail Vlachos, Deepak S. Turaga, Philip S. Yu
2006	A*	`conf`	Searching Substructures with Superimposed Distance. ICDE Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu
2006	—	`conf`	Slide: Streaming and Load-Adaptive Periodicity Estimation. ICASSP (3) Deepak S. Turaga, Michail Vlachos, Spiros Papadimitriou, Philip S. Yu
2006	A*	`conf`	Spectral clustering for multi-type relational data. ICML Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu
2006	J	`jnl`	Structural Periodic Measures for Time-Series Data. Data Min. Knowl. Discov. Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek
2006	A*	`conf`	Suppressing model overfitting in mining concept-drifting data streams. KDD Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jeffrey Xu Yu
2006	J	`jnl`	Text Classification without Negative Examples Revisit. IEEE Trans. Knowl. Data Eng. Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu, Philip S. Yu
2006	A*	`conf`	Unsupervised learning on k-partite graphs. KDD Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip S. Yu
2006	A*	`conf`	ViCo: an adaptive distributed video correlation system. ACM Multimedia Xiaohui Gu, Zhen Wen, Ching-Yung Lin, Philip S. Yu
2006	A*	`conf`	Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams. ICDM Jimeng Sun, Spiros Papadimitriou, Philip S. Yu
2005	A*	`conf`	A Border-Based Approach for Hiding Sensitive Frequent Itemsets. ICDM Xingzhi Sun, Philip S. Yu
2005	—	`conf`	A Multi-metric Index for Euclidean and Periodic Matching. PKDD Michail Vlachos, Zografoula Vagena, Vittorio Castelli, Philip S. Yu
2005	—	`conf`	A Two-Level Distributed Architecture for Efficient Web Content Adaptation and Delivery. SAINT Claudia Canali, Valeria Cardellini, Michele Colajanni, Riccardo Lancellotti, Philip S. Yu
2005	A	`conf`	Adaptive Load Diffusion for Stream Joins. Middleware Xiaohui Gu, Philip S. Yu
2005	A	`conf`	Adaptive load shedding for windowed stream joins. CIKM Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
2005	—	`conf`	Adding the Temporal Dimension to Search - A Case Study in Publication Search. Web Intelligence Philip S. Yu, Xin Li, Bing Liu
2005	J	`jnl`	An Improved Biclustering Method for Analyzing Gene Expression Profiles. Int. J. Artif. Intell. Tools Jiong Yang, Haixun Wang, Wei Wang, Philip S. Yu
2005	A*	`conf`	An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. ICDM Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu
2005	J	`jnl`	An effective and efficient algorithm for high-dimensional outlier detection. VLDB J. Charu C. Aggarwal, Philip S. Yu
2005	A	`conf`	Building Decision Trees on Records Linked through Key References. SDM Ke Wang, Yabo Xu, Philip S. Yu, Rong She
2005	A	`conf`	CSR: Speaker Recognition from Compressed VoIP Packet Stream. ICME Charu C. Aggarwal, David P. Olshefski, Debanjan Saha, Zon-Yin Shae, Philip S. Yu
2005	A*	`conf`	Co-clustering by block value decomposition. KDD Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
2005	A*	`conf`	Combining Multiple Clusterings by Soft Correspondence. ICDM Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
2005	A	`conf`	Compact reachability labeling for graph-structured data. CIKM Hao He, Haixun Wang, Jun Yang, Philip S. Yu
2005	A*	`conf`	Cross-relational clustering with user's guidance. KDD Xiaoxin Yin, Jiawei Han, Philip S. Yu
2005	B	`conf`	Data Stream Mining and Resource Adaptive Computation. DASFAA Philip S. Yu
2005	J	`jnl`	Demand-driven frequent itemset mining using pattern structures. Knowl. Inf. Syst. Haixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu
2005	A*	`conf`	Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches. ICDM Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Yu, Kevin Drummey
2005	J	`jnl`	Efficient Processing of Continual Range Queries for Location-Aware Mobile Services. Inf. Syst. Frontiers Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2005	—	`conf`	Efficient structural joins with on-the-fly indexing. WWW (Special interest tracks and posters) Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2005	A*	`conf`	Efficiently Mining Frequent Closed Partial Orders. ICDM Jian Pei, Jian Liu, Haixun Wang, Ke Wang, Philip S. Yu, Jianyong Wang
2005	—	`conf`	Fast Burst Correlation of Financial Data. PKDD Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2005	A*	`conf`	Focused Community Discovery. ICDM Kirsten Hildrum, Philip S. Yu
2005	J	`jnl`	Graph indexing based on discriminative frequent structure analysis. ACM Trans. Database Syst. Xifeng Yan, Philip S. Yu, Jiawei Han
2005	A	`conf`	Integrating DCT and DWT for approximating cube streams. CIKM Ming-Jyh Hsieh, Ming-Syan Chen, Philip S. Yu
2005	A	`conf`	Iterative Mining for Rules with Constrained Antecedents. SDM Zheng Sun, Philip S. Yu, Xiang-Yang Li
2005	A	`conf`	Loadstar: A Load Shedding Scheme for Classifying Data Streams. SDM Yun Chi, Philip S. Yu, Haixun Wang, Richard R. Muntz
2005	A*	`conf`	Loadstar: Load Shedding in Data Stream Mining. VLDB Yun Chi, Haixun Wang, Philip S. Yu
2005	A	`conf`	Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs. SDM Chao Liu, Xifeng Yan, Hwanjo Yu, Jiawei Han, Philip S. Yu
2005	—	`ch.`	Mining Data Streams. The Data Mining and Knowledge Discovery Handbook Haixun Wang, Philip S. Yu, Jiawei Han
2005	C	`conf`	Mining Evolving Streams with Resource Adaptive Computation. ISM Philip S. Yu
2005	A	`conf`	Near-Neighbor Search in Pattern Distance Spaces. SDM Haixun Wang, Chang-Shing Perng, Philip S. Yu
2005	—	`conf`	On Clustering Techniques for Change Diagnosis in Data Streams. WebKDD Charu C. Aggarwal, Philip S. Yu
2005	J	`jnl`	On High Dimensional Projected Clustering of Data Streams. Data Min. Knowl. Discov. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2005	C	`conf`	On Incremental Processing of Continual Range Queries for Location-Aware Services and Applications. MobiQuitous Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2005	A	`conf`	On Periodicity Detection and Structural Periodic Similarity. SDM Michail Vlachos, Philip S. Yu, Vittorio Castelli
2005	A	`conf`	On Variable Constraints in Privacy Preserving Data Mining. SDM Charu C. Aggarwal, Philip S. Yu
2005	A	`conf`	Online Analysis of Community Evolution in Data Streams. SDM Charu C. Aggarwal, Philip S. Yu
2005	A*	`conf`	Online Mining of Data Streams: Applications, Techniques and Progress. ICDE Haixun Wang, Jian Pei, Philip S. Yu
2005	A	`conf`	Optimal Component Composition for Scalable Stream Processing. ICDCS Xiaohui Gu, Philip S. Yu, Klara Nahrstedt
2005	A*	`conf`	Parameter Free Bursty Events Detection in Text Streams. VLDB Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Philip S. Yu, Hongjun Lu
2005	A*	`conf`	Pattern-based similarity search for microarray data. KDD Haixun Wang, Jian Pei, Philip S. Yu
2005	A	`conf`	Pushing Feature Selection Ahead Of Join. SDM Rong She, Ke Wang, Yabo Xu, Philip S. Yu
2005	A	`conf`	Rotation invariant indexing of shapes and line drawings. CIKM Michail Vlachos, Zografoula Vagena, Philip S. Yu, Vassilis Athitsos
2005	—	`conf`	Substructure Similarity Search in Graph Databases. SIGMOD Conference Xifeng Yan, Philip S. Yu, Jiawei Han
2005	A*	`conf`	Supporting multi-party voice-over-IP services with peer-to-peer stream processing. ACM Multimedia Xiaohui Gu, Zhen Wen, Philip S. Yu, Zon-Yin Shae
2005	A*	`conf`	Template-Based Privacy Preservation in Classification Problems. ICDM Ke Wang, Benjamin C. M. Fung, Philip S. Yu
2005	A*	`conf`	Text Classification without Labeled Negative Documents. ICDE Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu, Philip S. Yu
2005	A*	`conf`	Top-Down Specialization for Information and Privacy Preservation. ICDE Benjamin C. M. Fung, Ke Wang, Philip S. Yu
2005	J	`jnl`	WebKDD 2005: web mining and web usage analysis post-workshop report. SIGKDD Explor. Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij M. Masand, Philip S. Yu
2004	B	`conf`	A Condensation Approach to Privacy Preserving Data Mining. EDBT Charu C. Aggarwal, Philip S. Yu
2004	B	`conf`	A Fast Algorithm for Subspace Clustering by Pattern Similarity. SSDBM Haixun Wang, Fang Chu, Wei Fan, Philip S. Yu, Jian Pei
2004	A*	`conf`	A Framework for Projected Clustering of High Dimensional Data Streams. VLDB Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2004	A	`conf`	Active Mining of Data Streams. SDM Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu
2004	B	`conf`	Analysis of Peer-to-Peer Systems: Workload Characterization and Effects on Traffic Cacheability. MASCOTS Mauro Andreolini, Riccardo Lancellotti, Philip S. Yu
2004	B	`conf`	BASS: Approximate Search on Large String Databases. SSDBM Jiong Yang, Wei Wang, Philip S. Yu
2004	A*	`conf`	Bottom-Up Generalization: A Data Mining Solution to Privacy Protection. ICDM Ke Wang, Philip S. Yu, Sourav Chakraborty
2004	—	`conf`	CrossMine: Efficient Classification Across Multiple Database Relations. Constraint-Based Mining and Inductive Databases Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu
2004	A*	`conf`	CrossMine: Efficient Classification Across Multiple Database Relations. ICDE Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu
2004	A*	`conf`	Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams. ICDM Wei Fan, Yi-an Huang, Philip S. Yu
2004	J	`jnl`	Discovering High-Order Periodic Patterns. Knowl. Inf. Syst. Jiong Yang, Wei Wang, Philip S. Yu
2004	J	`jnl`	EIC Editorial. IEEE Trans. Knowl. Data Eng. Philip S. Yu
2004	J	`jnl`	EIC Editorial. IEEE Trans. Knowl. Data Eng. Philip S. Yu
2004	J	`jnl`	Editorial: State of the Transactions. IEEE Trans. Knowl. Data Eng. Philip S. Yu
2004	—	`conf`	Graph Indexing: A Frequent Structure-based Approach. SIGMOD Conference Xifeng Yan, Philip S. Yu, Jiawei Han
2004	—	`conf`	Indexing Continual Range Queries for Location-Aware Mobile Services. EEE Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2004	—	`conf`	Indexing Continual Range Queries with Covering Tiles for Fast Locating of Moving Objects. ICDCS Workshops Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2004	A	`conf`	Interval query indexing for efficient stream processing. CIKM Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2004	B	`conf`	Mining Extremely Skewed Trading Anomalies. EDBT Wei Fan, Philip S. Yu, Haixun Wang
2004	J	`jnl`	Mining Surprising Periodic Patterns. Data Min. Knowl. Discov. Jiong Yang, Wei Wang, Philip S. Yu
2004	B	`conf`	Mining of Evolving Data Streams with Privacy Preservation. PAKDD Philip S. Yu
2004	A*	`conf`	Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window. ICDM Yun Chi, Haixun Wang, Philip S. Yu, Richard R. Muntz
2004	C	`conf`	Monitoring Continual Range Queries. APWeb Philip S. Yu, Kun-Lung Wu, Shyh-Kwei Chen
2004	A	`conf`	Motion adaptive indexing for moving continual queries over moving objects. CIKM Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
2004	J	`jnl`	On Using Partial Supervision for Text Categorization. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu
2004	A*	`conf`	On demand classification of data streams. KDD Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2004	—	`conf`	On the temporal dimension of search. WWW (Alternate Track Papers & Posters) Philip S. Yu, Xin Li, Bing Liu
2004	—	`ed.`	Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD 2004, Paris, France, June 13, 2004 DMKD Gautam Das, Bing Liu, Philip S. Yu
2004	C	`conf`	Processing Continual Range Queries over Moving Objects Using VCR-Based Query Indexes. MobiQuitous Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2004	A	`conf`	Resource-Aware Mining with Variable Granularities in Data Streams. SDM Wei-Guang Teng, Ming-Syan Chen, Philip S. Yu
2004	J	`jnl`	Segmentation of multimedia streams for proxy caching. IEEE Trans. Multim. Kun-Lung Wu, Philip S. Yu, Joel L. Wolf
2004	B	`conf`	Shingle-Based Query Indexing for Location-Based Mobile E-Commerce. CEC Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2004	A*	`conf`	Text Classification by Labeling Words. AAAI Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
2004	J	`jnl`	Utility computing SLA management based upon business objectives. IBM Syst. J. Melissa J. Buco, Rong N. Chang, Laura Z. Luan, Christopher Ward, Joel L. Wolf, Philip S. Yu
2004	Misc	`conf`	VCR indexing for fast event matching for highly-overlapping range predicates. SAC Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2004	J	`jnl`	WAR: Weighted Association Rules for Item Intensities. Knowl. Inf. Syst. Wei Wang, Jiong Yang, Philip S. Yu
2003	A*	`conf`	A Framework for Clustering Evolving Data Streams. VLDB Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2003	A*	`conf`	A Regression-Based Temporal Pattern Mining Scheme for Data Streams. VLDB Wei-Guang Teng, Ming-Syan Chen, Philip S. Yu
2003	A*	`conf`	Applying data mining in investigating money laundering crimes. KDD Zhongfei (Mark) Zhang, John J. Salerno, Philip S. Yu
2003	A*	`conf`	Building Text Classifiers Using Positive and Unlabeled Examples. ICDM Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu
2003	—	`conf`	Cooperative Architectures and Algorithms for Discovery and Transcoding of Multi-Version Content. WCW Claudia Canali, Valeria Cardellini, Michele Colajanni, Riccardo Lancellotti, Philip S. Yu
2003	—	`conf`	Cooperative TransCaching: A System of Distributed Proxy Servers for Web Content Adaptation. WWW (Posters) Claudia Canali, Valeria Cardellini, Michele Colajanni, Riccardo Lancellotti, Philip S. Yu
2003	A	`conf`	Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies. ICDCS Yi-an Huang, Wei Fan, Wenke Lee, Philip S. Yu
2003	J	`jnl`	Data Mining: How Research Meets Practical Development? Knowl. Inf. Syst. Xindong Wu, Philip S. Yu, Gregory Piatetsky-Shapiro
2003	J	`jnl`	Editorial: AE Introduction. IEEE Trans. Knowl. Data Eng. Philip S. Yu
2003	J	`jnl`	Editorial: New AE Introduction. IEEE Trans. Knowl. Data Eng. Philip S. Yu
2003	C	`conf`	Enhanced Biclustering on Expression Data. BIBE Jiong Yang, Haixun Wang, Wei Wang, Philip S. Yu
2003	A	`conf`	Epi-SPIRE: a system for environmental and public health activity monitoring. ICME Chung-Sheng Li, Charu C. Aggarwal, Murray Campbell, Yuan-Chi Chang, Gregory Glass, Vijay S. Iyengar, Mahesh Joshi, Ching-Yung Lin, Milind R. Naphade, John R. Smith, Belle L. Tseng, Min Wang, Kun-Lung Wu, Philip S. Yu
2003	J	`jnl`	Guest Editorial: Text and Web Mining. Appl. Intell. Ah-Hwee Tan, Philip S. Yu
2003	A*	`conf`	Indexing Weighted-Sequences in Large Databases. ICDE Haixun Wang, Chang-Shing Perng, Wei Fan, Sanghyun Park, Philip S. Yu
2003	A*	`conf`	Inductive Learning in Less Than One Sequential Data Scan. IJCAI Wei Fan, Haixun Wang, Philip S. Yu, Shaw-Hwa Lo
2003	A*	`conf`	Is random model better? On its accuracy and efficiency. ICDM Wei Fan, Haixun Wang, Philip S. Yu, Sheng Ma
2003	A*	`conf`	MaPle: A Fast Algorithm for Maximal Pattern-based Clustering. ICDM Jian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wang, Philip S. Yu
2003	C	`conf`	Managing eBusiness on Demand SLA Contracts in Business Terms Using the Cross-SLA Execution Manager SAM. ISADS Melissa J. Buco, Rong N. Chang, Laura Z. Luan, Christopher Ward, Joel L. Wolf, Philip S. Yu, Tevfik Kosar, Syed Umair Ahmed Shah
2003	J	`jnl`	Mining Asynchronous Periodic Patterns in Time Series Data. IEEE Trans. Knowl. Data Eng. Jiong Yang, Wei Wang, Philip S. Yu
2003	A*	`conf`	Mining concept-drifting data streams using ensemble classifiers. KDD Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
2003	A	`conf`	New Algorithms for Content-Based Publication-Subscription Systems. ICDCS Anton Riabov, Zhen Liu, Joel L. Wolf, Philip S. Yu, Li Zhang
2003	J	`jnl`	Optimizing Index Allocation for Sequential Data Broadcasting in Wireless Mobile Computing. IEEE Trans. Knowl. Data Eng. Ming-Syan Chen, Kun-Lung Wu, Philip S. Yu
2003	J	`jnl`	Replication for Load Balancing and Hot-Spot Relief on Proxy Web Caches with Hash Routing. Distributed Parallel Databases Kun-Lung Wu, Philip S. Yu
2003	J	`jnl`	Request Redirection Algorithms for Distributed Web Systems. IEEE Trans. Parallel Distributed Syst. Valeria Cardellini, Michele Colajanni, Philip S. Yu
2003	A	`conf`	STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data. SDM Jiong Yang, Wei Wang, Philip S. Yu
2003	J	`jnl`	Scoring the Data Using Association Rules. Appl. Intell. Bing Liu, Yiming Ma, Ching Kian Wong, Philip S. Yu
2003	—	`conf`	ViST: A Dynamic Index Method for Querying XML Data by Tree Structures. SIGMOD Conference Haixun Wang, Sanghyun Park, Wei Fan, Philip S. Yu
2002	A	`conf`	A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits. SDM Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo
2002	A	`conf`	A Fully Distributed Framework for Cost-Sensitive Data Mining. ICDCS Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo
2002	J	`jnl`	A Performance Study of Robust Load Sharing Strategies for Distributed Heterogeneous Web Server Systems. IEEE Trans. Knowl. Data Eng. Michele Colajanni, Philip S. Yu
2002	—	`conf`	Accelerating Approximate Subsequence Search on Large Protein Sequence Databases. CSB Jiong Yang, Wei Wang, Yi Xia, Philip S. Yu
2002	J	`jnl`	Adaptive Piggybacking Schemes for Video-On-Demand Systems. Multim. Tools Appl. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
2002	B	`ed.`	Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002, Proceedings PAKDD Ming-Shan Cheng, Philip S. Yu, Bing Liu
2002	A*	`conf`	An Automated System for Web Portal Personalization. VLDB Charu C. Aggarwal, Philip S. Yu
2002	—	`conf`	An Index Structure for Pattern Similarity Searching in DNA Microarray Dat. CSB Haixun Wang, Chang-Shing Perng, Wei Fan, Philip S. Yu
2002	A	`conf`	Clustering Algorithms for Content-Based Publication-Subscription Systems. ICDCS Anton Riabov, Zhen Liu, Joel L. Wolf, Philip S. Yu, Li Zhang
2002	—	`conf`	Clustering by pattern similarity in large data sets. SIGMOD Conference Haixun Wang, Wei Wang, Jiong Yang, Philip S. Yu
2002	J	`jnl`	Controlled replication for hash routing-based web caching. Comput. Syst. Sci. Eng. Kun-Lung Wu, Philip S. Yu
2002	A*	`conf`	Distributed data mining in a chain store database of short transactions. KDD Cheng-Ru Lin, Chang-Hung Lee, Ming-Syan Chen, Philip S. Yu
2002	—	`conf`	Dynamic Refinement of Table Summarization or M-Commerce. WECWIS Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2002	J	`jnl`	Editorial. IEEE Trans. Knowl. Data Eng. Philip S. Yu
2002	A	`conf`	Efficient Filtering of Large DatasetA User-Centric Paradigm. SDM Yi Xia, Wei Wang, Jiong Yang, Philip S. Yu, Richard R. Muntz
2002	A	`conf`	Efficient query monitoring using adaptive multiple key hashing. CIKM Kun-Lung Wu, Philip S. Yu
2002	J	`jnl`	Fast Algorithms for Online Generation of Profile Association Rules. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Zheng Sun, Philip S. Yu
2002	J	`jnl`	Finding Localized Associations in Market Basket Data. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Philip S. Yu
2002	A*	`conf`	InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties. ICDM Jiong Yang, Wei Wang, Philip S. Yu
2002	J	`jnl`	Introducing the New AEs. IEEE Trans. Knowl. Data Eng. Philip S. Yu
2002	A*	`conf`	Mining Associations by Pattern Structure in Large Relational Tables. ICDM Haixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu
2002	A	`conf`	Mining Relationship between Triggering and Consequential Events in a Short Transaction Database. SDM Chang-Hung Lee, Philip S. Yu, Ming-Syan Chen
2002	—	`conf`	Mining long sequential patterns in a noisy environment. SIGMOD Conference Jiong Yang, Wei Wang, Philip S. Yu, Jiawei Han
2002	A*	`conf`	Optimal crawling strategies for web search engines. WWW Joel L. Wolf, Mark S. Squillante, Philip S. Yu, Jay Sethuraman, L. Ozsen
2002	A*	`conf`	Partially Supervised Classification of Text Documents. ICML Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li
2002	A*	`conf`	Progressive Modeling. ICDM Wei Fan, Haixun Wang, Philip S. Yu, Shaw-Hwa Lo, Salvatore J. Stolfo
2002	—	`conf`	Pruning and Dynamic Scheduling of Cost-Sensitive Ensembles. AAAI/IAAI Wei Fan, Fang Chu, Haixun Wang, Philip S. Yu
2002	J	`jnl`	Redefining Clustering for High-Dimensional Applications. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Philip S. Yu
2002	J	`jnl`	The state of the art in locally distributed Web-server systems. ACM Comput. Surv. Valeria Cardellini, Emiliano Casalicchio, Michele Colajanni, Philip S. Yu
2002	A*	`conf`	delta-Clusters: Capturing Subspace Correlation in a Large Data Set. ICDE Jiong Yang, Wei Wang, Haixun Wang, Philip S. Yu
2001	J	`jnl`	A New Approach to Online Generation of Association Rules. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Philip S. Yu
2001	A*	`conf`	Discovering unexpected information from your competitors' web sites. KDD Bing Liu, Yiming Ma, Philip S. Yu
2001	J	`jnl`	Editorial. IEEE Trans. Knowl. Data Eng. Philip S. Yu
2001	J	`jnl`	Editorial: Introducing the New AEs. IEEE Trans. Knowl. Data Eng. Philip S. Yu
2001	A	`conf`	Effective Nearest Neighbor Indexing with the Euclidean Metric. CIKM Sang-Wook Kim, Charu C. Aggarwal, Philip S. Yu
2001	A*	`conf`	Infominer: mining surprising periodic patterns. KDD Jiong Yang, Wei Wang, Philip S. Yu
2001	A*	`conf`	Intelligent crawling on the World Wide Web with arbitrary predicates. WWW Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu
2001	J	`jnl`	Load balancing for clustered web farms. SIGMETRICS Perform. Evaluation Rev. Joel L. Wolf, Philip S. Yu
2001	A*	`conf`	Meta-patterns: Revealing Hidden Periodic Patterns. ICDM Wei Wang, Jiong Yang, Philip S. Yu
2001	J	`jnl`	Mining Associations with the Collective Strength Approach. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Philip S. Yu
2001	A*	`conf`	On Effective Conceptual Indexing and Similarity Search in Text Data. ICDM Charu C. Aggarwal, Philip S. Yu
2001	J	`jnl`	On balancing the load in a clustered web farm. ACM Trans. Internet Techn. Joel L. Wolf, Philip S. Yu
2001	J	`jnl`	On the design of a learning crawler for topical resource discovery. ACM Trans. Inf. Syst. Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu
2001	—	`conf`	Outlier Detection for High Dimensional Data. SIGMOD Conference Charu C. Aggarwal, Philip S. Yu
2001	—	`conf`	Personalization with Dynamic Profiler. WECWIS Kun-Lung Wu, Charu C. Aggarwal, Philip S. Yu
2001	A*	`conf`	SSDT: A Scalable Subspace-Splitting Classifier for Biased Data. ICDM Haixun Wang, Philip S. Yu
2001	J	`jnl`	Scheduling Algorithms for the Broadcast Delivery of Digital Products. IEEE Trans. Knowl. Data Eng. Joel L. Wolf, Mark S. Squillante, John Turek, Philip S. Yu, Jay Sethuraman
2001	A*	`conf`	Segment-based proxy caching of multimedia streams. WWW Kun-Lung Wu, Philip S. Yu, Joel L. Wolf
2001	J	`jnl`	The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems. IEEE Trans. Computers Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
2001	J	`jnl`	Thrashing control and avoidance for concurrent mergesorts using parallel prefetching. Comput. Syst. Sci. Eng. Kun-Lung Wu, Philip S. Yu, James Z. Teng
2000	A	`conf`	Clustering Through Decision Tree Construction. CIKM Bing Liu, Yiyuan Xia, Philip S. Yu
2000	A	`conf`	Collaborative Proxy System for Distributed Web Content Transcoding. CIKM Philip S. Yu, Valeria Cardellini, Yun-Wu Huang
2000	J	`jnl`	Data Mining Techniques for Personalization. IEEE Data Eng. Bull. Charu C. Aggarwal, Philip S. Yu
2000	A*	`conf`	Efficient mining of weighted association rules (WAR). KDD Wei Wang, Jiong Yang, Philip S. Yu
2000	—	`conf`	Finding Generalized Projected Clusters In High Dimensional Spaces. SIGMOD Conference Charu C. Aggarwal, Philip S. Yu
2000	B	`conf`	Geographic Load Balancing for Scalable Distributed Web Systems. MASCOTS Valeria Cardellini, Michele Colajanni, Philip S. Yu
2000	J	`jnl`	Latency-sensitive hashing for collaborative Web caching. Comput. Networks Kun-Lung Wu, Philip S. Yu
2000	—	`conf`	Lightweight Version Vectors for Pervasive Computing Devices. ICPP Workshops Yun-Wu Huang, Philip S. Yu
2000	J	`jnl`	Mining Patterns in Long Sequential Data with Noise. SIGKDD Explor. Wei Wang, Jiong Yang, Philip S. Yu
2000	A*	`conf`	Mining asynchronous periodic patterns in time series data. KDD Jiong Yang, Wei Wang, Philip S. Yu
2000	—	`ed.`	Proceedings of the International Workshop on Text and Web Mining, Melbourne, Australia, August 2000 PRICAI Workshop on Text and Web Mining Ah-Hwee Tan, Philip S. Yu
2000	J	`jnl`	Report on Second International Workshop on Advanced Issues of E-Commerce and Web-based Information Systems. SIGMOD Rec. Kun-Lung Wu, Philip S. Yu
2000	A	`conf`	TabSum: A Flexible and Dynamic Table Summarization Approach. ICDCS Ming-Ling Lo, Kun-Lung Wu, Philip S. Yu
2000	A*	`conf`	Targeting the right students using data mining. KDD Yiming Ma, Bing Liu, Ching Kian Wong, Philip S. Yu, Shuik Ming Lee
2000	A*	`conf`	The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. KDD Charu C. Aggarwal, Philip S. Yu
2000	—	`conf`	The Intelligent Recommendation Analyzer. ICDCS Workshop of Knowledge Discovery and Data Mining in the World-Wide Web Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu
2000	J	`jnl`	Workfile Disk Management for Concurrent Mergesorts in a Multiprocessor Database System. Distributed Parallel Databases Kun-Lung Wu, Philip S. Yu, Jen-Yao Chung, James Z. Teng
1999	—	`conf`	A New Method for Similarity Indexing of Market Basket Data. SIGMOD Conference Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1999	A*	`conf`	Adaptive Query Processing for Time-Series Data. KDD Yun-Wu Huang, Philip S. Yu
1999	J	`jnl`	Caching on the World Wide Web. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1999	J	`jnl`	DNS Dispatching Algorithms with State Estimators for Scalable Web-Server Clusters. World Wide Web Valeria Cardellini, Michele Colajanni, Philip S. Yu
1999	B	`conf`	Data Mining Techniques for Associations, Clustering and Classification. PAKDD Charu C. Aggarwal, Philip S. Yu
1999	B	`conf`	Data Mining and Personalization Technologies. DASFAA Philip S. Yu
1999	J	`jnl`	Design and Analysis of Permutation-Based Pyramid Broadcasting. Multim. Syst. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1999	J	`jnl`	Dynamic Load Balancing on Web-Server Systems. IEEE Internet Comput. Valeria Cardellini, Michele Colajanni, Philip S. Yu
1999	—	`conf`	Fast Algorithms for Projected Clustering. SIGMOD Conference Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park
1999	A*	`conf`	Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. KDD Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu
1999	A	`conf`	Load Balancing and Hot Spot Relief for Hash Routing among a Collection of Proxy Caches. ICDCS Kun-Lung Wu, Philip S. Yu
1999	A	`conf`	Local Replication for Proxy Web Caches with Hash Routing. CIKM Kun-Lung Wu, Philip S. Yu
1999	—	`conf`	On Text Mining Techniques for Personalization. RSFDGrC Charu C. Aggarwal, Philip S. Yu
1999	A*	`conf`	On the Merits of Building Categorization Systems by Supervised Clustering. KDD Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu
1999	—	`conf`	Optimizing Profits in the Broadcast Delivery of Multimedia Products. Multimedia Information Systems Charu C. Aggarwal, Mark S. Squillante, Joel L. Wolf, Philip S. Yu, Jay Sethuraman
1999	A	`conf`	Redirection Algorithms for Load Sharing in Distributed Web-server Systems. ICDCS Valeria Cardellini, Michele Colajanni, Philip S. Yu
1999	Misc	`conf`	Replication Issues on Proxy Cache Array. PDPTA Kun-Lung Wu, Philip S. Yu
1999	J	`jnl`	Review - Mining Association Rules between Sets of Items in Large Databases. ACM SIGMOD Digit. Rev. Philip S. Yu
1999	J	`jnl`	Run Placement Policies for Concurrent Mergesorts Using Parallel Prefetching. Knowl. Inf. Syst. Kun-Lung Wu, Philip S. Yu, James Z. Teng
1999	J	`jnl`	Scan: A Hierarchical Algorithm for Similarity Search in Databases Consisting of Long Sequences. Knowl. Inf. Syst. Chung-Sheng Li, Philip S. Yu, Vittorio Castelli
1999	J	`jnl`	Using Unbalanced Trees for Indexing Multidimensional Objects. Knowl. Inf. Syst. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina A. Epelman
1998	A	`conf`	A Bandwidth-Sensitive Update Scheduling Method for Internet Push. ICDCS Yun-Wu Huang, Philip S. Yu
1998	—	`conf`	A Framework for the Optimizing of WWW Advertising. Trends in Distributed Systems for Electronic Commerce Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1998	A*	`conf`	A New Framework For Itemset Generation. PODS Charu C. Aggarwal, Philip S. Yu
1998	J	`jnl`	Analysis of Task Assignment Policies in Scalable Distributed Web-Server Systems. IEEE Trans. Parallel Distributed Syst. Michele Colajanni, Philip S. Yu, Daniel M. Dias
1998	A	`conf`	Dynamic Load Balancing in Geographically Distributed Heterogeneous Web Servers. ICDCS Michele Colajanni, Philip S. Yu, Valeria Cardellini
1998	J	`jnl`	Efficient Data Mining for Path Traversal Patterns. IEEE Trans. Knowl. Data Eng. Ming-Syan Chen, Jong Soo Park, Philip S. Yu
1998	B	`conf`	Efficient State Estimators for Load Control Policies in Scalable Web Server Clusters. COMPSAC Valeria Cardellini, Michele Colajanni, Philip S. Yu
1998	J	`jnl`	Energy-Efficient Mobile Cache Invalidation. Distributed Parallel Databases Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
1998	J	`jnl`	Exploring Wait Tolerance in Effective Batching for Video-on-Demand Scheduling. Multim. Syst. Hadas Shachnai, Philip S. Yu
1998	J	`jnl`	Increasing Multimedia System Throughput with Consumption-based Buffer Management. Multim. Syst. Kun-Lung Wu, Philip S. Yu
1998	A	`conf`	MALM: A Framework for Mining Sequence Database at Multiple Abstraction Levels. CIKM Chung-Sheng Li, Philip S. Yu, Vittorio Castelli
1998	J	`jnl`	Mining Large Itemsets for Association Rules. IEEE Data Eng. Bull. Charu C. Aggarwal, Philip S. Yu
1998	J	`jnl`	On Analytic Modeling of Multimedia Batching Schemes. Perform. Evaluation Hadas Shachnai, Philip S. Yu
1998	A	`conf`	Online Algorithms for Finding Profile Association Rules. CIKM Charu C. Aggarwal, Zheng Sun, Philip S. Yu
1998	A*	`conf`	Online Generation of Association Rules. ICDE Charu C. Aggarwal, Philip S. Yu
1998	A*	`conf`	Online Generation of Profile Association Rules. KDD Charu C. Aggarwal, Zheng Sun, Philip S. Yu
1998	J	`jnl`	Optimization issues in multimedia systems. Int. J. Intell. Syst. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1998	J	`jnl`	Performance Study of a Collaborative Method for Hierarchical Caching in Proxy Servers. Comput. Networks Philip S. Yu, Edward A. MacNair
1998	B	`conf`	Range-Based Bitmap Indexing for High Cardinality Attributes with Skew. COMPSAC Kun-Lung Wu, Philip S. Yu
1998	J	`jnl`	Reminiscences on Influential Papers. SIGMOD Rec. Richard T. Snodgrass, Laura M. Haas, Alberto O. Mendelzon, Z. Meral Özsoyoglu, Jan Paredaens, Krithi Ramamritham, Nick Roussopoulos, Jennifer Widom, Philip S. Yu
1998	J	`jnl`	Smart SMART Bounds for Weighted Response Time Scheduling. SIAM J. Comput. Uwe Schwiegelshohn, Walter Ludwig, Joel L. Wolf, John Turek, Philip S. Yu
1998	J	`jnl`	SpeedTracer: A Web Usage Mining and Analysis Tool. IBM Syst. J. Kun-Lung Wu, Philip S. Yu, Allen Ballman
1997	J	`jnl`	Adaptive TTL Schemes for Load Balancing of Distributed Web Servers. SIGMETRICS Perform. Evaluation Rev. Michele Colajanni, Philip S. Yu
1997	J	`jnl`	Cluster Architectures and S/390 Parallel Sysplex Scalability. IBM Syst. J. Gary M. King, Daniel M. Dias, Philip S. Yu
1997	J	`jnl`	Disk Load Balancing for Video-On-Demand Systems. Multim. Syst. Joel L. Wolf, Philip S. Yu, Hadas Shachnai
1997	J	`jnl`	Divergence Control Algorithms for Epsilon Serializability. IEEE Trans. Knowl. Data Eng. Kun-Lung Wu, Philip S. Yu, Calton Pu
1997	A	`conf`	Indexed Sequential Data Broadcasting in Wireless Mobile Computing. ICDCS Ming-Syan Chen, Philip S. Yu, Kun-Lung Wu
1997	A	`conf`	Mining Association Rules with Adjustable Accuracy. CIKM Jong Soo Park, Philip S. Yu, Ming-Syan Chen
1997	J	`jnl`	On Applying Hash Filters to Improving the Execution of Multi-Join Queries. VLDB J. Ming-Syan Chen, Hui-I Hsiao, Philip S. Yu
1997	A	`conf`	On Disk Caching of Web Objects in Proxy Servers. CIKM Charu C. Aggarwal, Philip S. Yu
1997	J	`jnl`	Optimal Design of Multiple Hash Tables for Concurrency Control. IEEE Trans. Knowl. Data Eng. Ming-Syan Chen, Philip S. Yu
1997	J	`jnl`	Parallel Execution of Hash Joins in Parallel Databases. IEEE Trans. Parallel Distributed Syst. Hui-I Hsiao, Ming-Syan Chen, Philip S. Yu
1997	J	`jnl`	Recovery Analysis of Data Sharing Systems under Deferred Dirty Page Propagation Policies. IEEE Trans. Parallel Distributed Syst. Asit Dan, Philip S. Yu, Anant Jhingran
1997	A	`conf`	Scheduling Algorithms for Distributed Web Servers. ICDCS Michele Colajanni, Philip S. Yu, Daniel M. Dias
1997	—	`conf`	The S-Tree: An Efficient Index for Multidimensional Objects. SSD Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina A. Epelman
1997	J	`jnl`	Using Rotational Mirrored Declustering for Replica Placement in a Disk-Array-Based Video Server. Multim. Syst. Ming-Syan Chen, Hui-I Hsiao, Chung-Sheng Li, Philip S. Yu
1997	J	`jnl`	Using a Hash-Based Method with Transaction Trimming for Mining Association Rules. IEEE Trans. Knowl. Data Eng. Jong Soo Park, Ming-Syan Chen, Philip S. Yu
1996	—	`conf`	A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems. ICMCS Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1996	J	`jnl`	Analytic Modeling of Clustered RAID with Mapping Based on Nearly Random Permutation. IEEE Trans. Computers Arif Merchant, Philip S. Yu
1996	—	`conf`	Consumption-Based Buffer Management for Maximizing System Throughput of a Multimedia System. ICMCS Kun-Lung Wu, Philip S. Yu
1996	J	`jnl`	Data Mining: An Overview from a Database Perspective. IEEE Trans. Knowl. Data Eng. Ming-Syan Chen, Jiawei Han, Philip S. Yu
1996	A	`conf`	Efficient Data Mining for Path Traversal Patterns in Distributed Systems. ICDCS Ming-Syan Chen, Jong Soo Park, Philip S. Yu
1996	J	`jnl`	Efficient LRU-Based Buffering in a LAN Remote Caching Architecture. IEEE Trans. Parallel Distributed Syst. Avraham Leff, Joel L. Wolf, Philip S. Yu
1996	A*	`conf`	Energy-Efficient Caching for Wireless Mobile Computing. ICDE Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
1996	A*	`conf`	HierarchyScan: A Hierarchical Similarity Search Algorithm for Databases of Long Sequences. ICDE Chung-Sheng Li, Philip S. Yu, Vittorio Castelli
1996	—	`ch.`	Modeling and Analysis of Concurrency Control Schemes. Performance of Concurrency Control Mechanisms in Centralized Database Systems Philip S. Yu
1996	J	`jnl`	On Coupling Multiple Systems With A Global Buffer. IEEE Trans. Knowl. Data Eng. Ming-Syan Chen, Philip S. Yu, Tao-Heng Yang
1996	J	`jnl`	On General Results for All-to-All Broadcast. IEEE Trans. Parallel Distributed Syst. Ming-Syan Chen, Jeng-Chun Chen, Philip S. Yu
1996	—	`conf`	On Optimal Batching Policies for Video-on-Demand Storage Servers. ICMCS Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1996	A*	`conf`	On Optimal Piggyback Merging Policies for Video-on-Demand Systems. SIGMETRICS Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1996	J	`jnl`	Optimization of Parallel Execution for Multi-Join Queries. IEEE Trans. Knowl. Data Eng. Ming-Syan Chen, Philip S. Yu, Kun-Lung Wu
1996	J	`jnl`	Performance Analysis of Dynamic Finite Versioning Schemes: Storage Cost vs. Obsolescence. IEEE Trans. Knowl. Data Eng. Arif Merchant, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
1996	J	`jnl`	Using Content-Based Search to Download Digital Video into a Client Station. Real Time Imaging Ming-Syan Chen, Chung-Sheng Li, Philip S. Yu
1995	J	`jnl`	A Hierarchical Approach to Parallel Multiquery Scheduling. IEEE Trans. Parallel Distributed Syst. Joel L. Wolf, John Turek, Ming-Syan Chen, Philip S. Yu
1995	A*	`conf`	A Performance Study of Workfile Disk Management for Concurrent Mergesorts in a Multiprocessor Database System. VLDB Kun-Lung Wu, Philip S. Yu, Jen-Yao Chung, James Z. Teng
1995	—	`conf`	An Effective Hash Based Algorithm for Mining Association Rules. SIGMOD Conference Jong Soo Park, Ming-Syan Chen, Philip S. Yu
1995	J	`jnl`	Analytic Modeling and Comparisons of Striping Strategies for Replicated Disk Arrays. IEEE Trans. Computers Arif Merchant, Philip S. Yu
1995	J	`jnl`	Applying Segmented Right-Deep Trees to Pipelining Multiple Hash Joins. IEEE Trans. Knowl. Data Eng. Ming-Syan Chen, Ming-Ling Lo, Philip S. Yu, Honesty C. Young
1995	J	`jnl`	Characterization of Database Access Pattern for Analytic Prediction of Buffer Hit Probability VLDB J. Asit Dan, Philip S. Yu, Jen-Yao Chung
1995	A*	`conf`	DASD Dancing: A Disk Load Balancing Optimization Scheme for Video-on-Demand Computer. SIGMETRICS Joel L. Wolf, Philip S. Yu, Hadas Shachnai
1995	J	`jnl`	Design and Analysis of a Look-Ahead Scheduling Scheme to Support Pause-Resume for Video-on-Demand Applications. Multim. Syst. Philip S. Yu, Joel L. Wolf, Hadas Shachnai
1995	J	`jnl`	Divergence Control for Distributed Database Systems. Distributed Parallel Databases Wenwey Hseush, Gail E. Kaiser, Calton Pu, Kun-Lung Wu, Philip S. Yu
1995	A	`conf`	Efficient Parallel and Data Mining for Association Rules. CIKM Jong Soo Park, Ming-Syan Chen, Philip S. Yu
1995	—	`conf`	Performance Modeling For Designing Client/Server Systems. Int. CMG Conference Edward A. MacNair, Stephen S. Lavenberg, Philip S. Yu
1995	A*	`ed.`	Proceedings of the Eleventh International Conference on Data Engineering, March 6-10, 1995, Taipei, Taiwan Philip S. Yu, Arbee L. P. Chen
1995	J	`jnl`	Storage and Retrieval Methods to Support Fully Interactive Playout in a Disk-Array-Based Video Server. Multim. Syst. Ming-Syan Chen, Dilip D. Kandlur, Philip S. Yu
1995	A*	`conf`	Using Rotational Mirrored Declustering for Replica Placement in a Disk-Array-Based Video Server. ACM Multimedia Ming-Syan Chen, Hui-I Hsiao, Chung-Sheng Li, Philip S. Yu
1994	J	`jnl`	A Graph Theoretical Approach to Determine a Join Reducer Sequence in Distributed Query Processing. IEEE Trans. Knowl. Data Eng. Ming-Syan Chen, Philip S. Yu
1994	J	`jnl`	A Performance Study of Robust Distributed Load Sharing Strategies. IEEE Trans. Parallel Distributed Syst. Avraham Leff, Philip S. Yu
1994	J	`jnl`	An Analytical Model of Reconstruction Time in Mirrored Disks. Perform. Evaluation Arif Merchant, Philip S. Yu
1994	A*	`conf`	Asymtotic Performance of a Buffer Model in a Data Sharing Environment. SIGMETRICS Avi Bittan, Yaakov Kogan, Philip S. Yu
1994	J	`jnl`	Buffer Analysis for a Data Sharing Environment with Skewed Data Access. IEEE Trans. Knowl. Data Eng. Asit Dan, Daniel M. Dias, Philip S. Yu
1994	—	`conf`	Combining replication and parity approaches for fault-tolerant disk arrays. SPDP Chung-Sheng Li, Ming-Syan Chen, Philip S. Yu, Hui-I Hsiao
1994	A*	`conf`	Data Placement and Buffer Management for Concurrent Mergesorts with Parallel Prefetching. ICDE Kun-Lung Wu, Philip S. Yu, James Z. Teng
1994	—	`conf`	Dynamic Parity Grouping for Improving Write Performance of RAID-5 Disk Arrays. ICPP (2) Philip S. Yu, Kun-Lung Wu, Asit Dan
1994	A	`conf`	Multiversion Divergence Control of Time Fuzziness. CIKM Calton Pu, Miu K. Tsang, Kun-Lung Wu, Philip S. Yu
1994	J	`jnl`	New Algorithms for Parallelizing Relational Database Joins in the Presence of Data Skew. IEEE Trans. Knowl. Data Eng. Joel L. Wolf, Daniel M. Dias, Philip S. Yu, John Turek
1994	A*	`conf`	On Index Selection Schemes for Nested Object Hierarchies. VLDB Sudarshan S. Chawathe, Ming-Syan Chen, Philip S. Yu
1994	—	`conf`	On Parallel Execution of Multiple Pipelined Hash Joins. SIGMOD Conference Hui-I Hsiao, Ming-Syan Chen, Philip S. Yu
1994	B	`conf`	On Parallel Transaction Processing in a Coupled System. ICPADS Ming-Syan Chen, Tao-Heng Yang, Philip S. Yu, Tze-Shiu Liu
1994	J	`jnl`	On real-time databases: concurrency control and scheduling. Proc. IEEE Philip S. Yu, Kun-Lung Wu, Kwei-Jay Lin, Sang H. Son
1994	J	`jnl`	Optimal NODUP All-to-All Broadcast Schemes in Distributed Computing Systems. IEEE Trans. Parallel Distributed Syst. Ming-Syan Chen, Philip S. Yu, Kun-Lung Wu
1994	J	`jnl`	Performance Analysis of Affinity Clustering on Transaction Processing Coupling Architecture. IEEE Trans. Knowl. Data Eng. Philip S. Yu, Asit Dan
1994	J	`jnl`	Performance Evaluation of Transaction Processing Coupling Architectures for Handling System Dynamics. IEEE Trans. Parallel Distributed Syst. Philip S. Yu, Asit Dan
1994	J	`jnl`	Performance Modelling and Comparisons of Global Shared Buffer Management Policies in a Cluster Environment. IEEE Trans. Computers Asit Dan, Philip S. Yu, Daniel M. Dias
1994	A*	`conf`	Scheduling Multiple Queries on a Parallel Machine. SIGMETRICS Joel L. Wolf, John Turek, Ming-Syan Chen, Philip S. Yu
1994	A*	`conf`	Scheduling Parallel Tasks to Minimize Average Response Time. SODA John Turek, Uwe Schwiegelshohn, Joel L. Wolf, Philip S. Yu
1994	B	`conf`	Scheduling Parallelizable Tasks to Minimize Average Response Time. SPAA John Turek, Walter Ludwig, Joel L. Wolf, Lisa Fleischer, Prasoon Tiwari, Jason Glasgow, Uwe Schwiegelshohn, Philip S. Yu
1994	A*	`conf`	Support for Fully Interactive Playout in Disk-Array-Based Video Server. ACM Multimedia Ming-Syan Chen, Dilip D. Kandlur, Philip S. Yu
1993	J	`jnl`	A Parallel Hash Join Algorithm for Managing Data Skew. IEEE Trans. Parallel Distributed Syst. Joel L. Wolf, Philip S. Yu, John Turek, Daniel M. Dias
1993	J	`jnl`	A Parallel Sort Merge Join Algorithm for Managing Data Skew. IEEE Trans. Parallel Distributed Syst. Joel L. Wolf, Daniel M. Dias, Philip S. Yu
1993	A*	`conf`	Applying Hash Filters to Improving the Execution of Bushy Trees. VLDB Ming-Syan Chen, Hui-I Hsiao, Philip S. Yu
1993	J	`jnl`	Buffer Management Based on Return on Consumption in a Multi-Query Environment VLDB J. Philip S. Yu, Douglas W. Cornell
1993	J	`jnl`	Combining Join and Semi-Join Operations for Distributed Query Processing. IEEE Trans. Knowl. Data Eng. Ming-Syan Chen, Philip S. Yu
1993	A*	`conf`	Database Access Characterization for Buffer Hit Prediction. ICDE Asit Dan, Philip S. Yu, Jen-Yao Chung
1993	A	`conf`	Decentralized Consensus Protocols with Multi-Port Communication. ICDCS Ming-Syan Chen, Philip S. Yu, Kun-Lung Wu
1993	A	`conf`	Distributed Divergence Control for Epsilon Serializability. ICDCS Calton Pu, Wenwey Hseush, Gail E. Kaiser, Kun-Lung Wu, Philip S. Yu
1993	A*	`conf`	Dynamic Finite Versioning: An Effective Versioning Approach to Concurrent Transaction and Query Processing. ICDE Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
1993	J	`jnl`	Grouped Sweeping Scheduling for DASD-based Multimedia Storage Management. Multim. Syst. Philip S. Yu, Ming-Syan Chen, Dilip D. Kandlur
1993	—	`conf`	Issues in the Design of Multi-Server File Systems to Cope with Load Skew. PDIS Dinkar Sitaram, Asit Dan, Philip S. Yu
1993	—	`conf`	Modeling and Analysis of Transaction Processing Systems. Performance/SIGMETRICS Tutorials Philip S. Yu
1993	—	`conf`	On Optimal Processor Allocation to Support Pipelined Hash Joins. SIGMOD Conference Ming-Ling Lo, Ming-Syan Chen, Chinya V. Ravishankar, Philip S. Yu
1993	J	`jnl`	On the Analytical Modeling of Database Concurrency Control. J. ACM Philip S. Yu, Daniel M. Dias, Stephen S. Lavenberg
1993	A*	`conf`	Optimization of the Grouped Sweeping Scheduling (GSS) with Heterogeneous Multimedia Streams. ACM Multimedia Mon-Song Chen, Dilip D. Kandlur, Philip S. Yu
1993	—	`conf`	Parallel Query Processing. Advanced Database Systems Philip S. Yu, Ming-Syan Chen, Joel L. Wolf, John Turek
1993	J	`jnl`	Performance Analysis of Buffer Coherency Policies in a Multisystem Data Sharing Environment. IEEE Trans. Parallel Distributed Syst. Asit Dan, Philip S. Yu
1993	J	`jnl`	Performance Analysis of Concurrency Control Using Locking with Deferred Blocking. IEEE Trans. Software Eng. Philip S. Yu, Daniel M. Dias
1993	—	`conf`	Performance Analysis of a Dual Striping Strategy for Replicated Disk Arrays. PDIS Arif Merchant, Philip S. Yu
1993	A*	`conf`	Performance Comparison of Thrashing Control Policies for Concurrent Mergesorts with Parallel Prefetching. SIGMETRICS Kun-Lung Wu, Philip S. Yu, James Z. Teng
1993	J	`jnl`	Performance comparison of dynamic policies for remote caching. Concurr. Pract. Exp. Calton Pu, Danilo Florissi, Patricia Soares, Philip S. Yu, Kun-Lung Wu
1993	J	`jnl`	Replication Algorithms in a Remote Caching Architecture. IEEE Trans. Parallel Distributed Syst. Avraham Leff, Joel L. Wolf, Philip S. Yu
1992	A	`conf`	A Comparison of Regression-Based Load Sharing Strategies for Distributed Database Environments. ICDCS Avraham Leff, Philip S. Yu
1992	J	`jnl`	Analysis of Concurrency-Coherency Control Protocols for Distributed Transaction Processing Systems with Regional Locality. IEEE Trans. Software Eng. Bruno Ciciani, Daniel M. Dias, Philip S. Yu
1992	J	`jnl`	Analysis of Hybrid Concurrency Control Schemes For a High Data Contention Environment. IEEE Trans. Software Eng. Philip S. Yu, Daniel M. Dias
1992	B	`conf`	Approximate Algorithms Scheduling Parallelizable Tasks. SPAA John Turek, Joel L. Wolf, Philip S. Yu
1992	A*	`conf`	Characterization of Database Access Skew in a Transaction Processing Environment. SIGMETRICS Asit Dan, Philip S. Yu, Jen-Yao Chung
1992	—	`conf`	Design and Modeling of Clustered RAID. FTCS Arif Merchant, Philip S. Yu
1992	—	`conf`	Distributed Object Replication Strategies for a Remote Caching Architecture. ICPP (2) Avraham Leff, Joel L. Wolf, Philip S. Yu
1992	A*	`conf`	Divergence Control for Epsilon-Serializability. ICDE Kun-Lung Wu, Philip S. Yu, Calton Pu
1992	A*	`conf`	Effect of System Dynamics on Coupling Architectures for Transaction Processing. ICDE Philip S. Yu, Asit Dan
1992	A	`conf`	Efficient Decentralized Consensus Protocols in a Distributed Computing System. ICDCS Ming-Syan Chen, Kun-Lung Wu, Philip S. Yu
1992	—	`conf`	Impact of Workload Partitionability on the Performance of Coupling Architectures for Transaction Processing. SPDP Philip S. Yu, Asit Dan
1992	J	`jnl`	Interleaving a Join Sequence with Semijoins in Distributed Query Processing. IEEE Trans. Parallel Distributed Syst. Ming-Syan Chen, Philip S. Yu
1992	B	`conf`	LRU-based replication strategies in a LAN remote caching architecture. LCN Avraham Leff, Joel L. Wolf, Philip S. Yu
1992	B	`conf`	Mon-Song Chen, Dilip D. Kandlur: Design and Analysis of a Grouped Sweeping Scheme for Multimedia Storage Management. NOSSDAV Philip S. Yu
1992	J	`jnl`	On Workload Characterization of Relational Database Environments. IEEE Trans. Software Eng. Philip S. Yu, Ming-Syan Chen, Hans-Ulrich Heiss, Sukho Lee
1992	—	`conf`	Performance Analysis of Coherency Control Policies through Lock Retention. SIGMOD Conference Asit Dan, Philip S. Yu
1992	A*	`conf`	Performance Analysis of Dynamic Finite Versioning for Concurrency Transaction and Query Processing. SIGMETRICS Arif Merchant, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
1992	A	`conf`	Performance Comparison of Active-Sender and Active-Receiver Policies for Distributed Caching. HPDC Calton Pu, Danilo Florissi, Patricia Soares, Kun-Lung Wu, Philip S. Yu
1992	—	`ed.`	RIDE-TQP '92, Second International Workshop on Research Issues on Data Engineering: Transaction and Query Processing, Tempe, Arizona, USA, February 2-3, 1992 Philip S. Yu
1992	A*	`conf`	Scheduling Parallelizable Tasks: Putting it All on the Shelf. SIGMETRICS John Turek, Joel L. Wolf, Krishna R. Pattipati, Philip S. Yu, Icel Wolf
1992	A*	`conf`	Scheduling and Processor Allocation for Parallel Execution of Multi-Join Queries. ICDE Ming-Syan Chen, Philip S. Yu, Kun-Lung Wu
1992	A*	`conf`	Using Segmented Right-Deep Trees for the Execution of Pipelined Hash Joins. VLDB Ming-Syan Chen, Ming-Ling Lo, Philip S. Yu, Honesty C. Young
1991	J	`jnl`	An Adaptive Strategy for Load Sharing in Distributed Database Environment with Information Lags. J. Parallel Distributed Comput. Avraham Leff, Philip S. Yu
1991	A*	`conf`	An Effective Algorithm for Parallelizing Hash Joins in the Presence of Data Skew. ICDE Joel L. Wolf, Daniel M. Dias, Philip S. Yu, John Turek
1991	A*	`conf`	Analytical Modeling of a Hierarchical Buffer for a Data Sharing Environment. SIGMETRICS Asit Dan, Daniel M. Dias, Philip S. Yu
1991	—	`conf`	Comparative Performance of Parallel Join Algorithms. PDIS Joel L. Wolf, Daniel M. Dias, Philip S. Yu, John Turek
1991	A*	`conf`	Determining Beneficial Semijoins for a Join Sequence in Distributed Query Processing. ICDE Ming-Syan Chen, Philip S. Yu
1991	—	`conf`	Dynamic Load Sharing in the Presence of Information Obsolescence in Distributed Database Environments. ICPP (2) Avraham Leff, Philip S. Yu
1991	J	`jnl`	Modeling and Analysis of a Time-Stamp History Based Certification Protocol for Concurrency Control. IEEE Trans. Knowl. Data Eng. Philip S. Yu, Hans-Ulrich Heiss, Daniel M. Dias
1991	J	`jnl`	On Robust Transaction Routing and Load Sharing. ACM Trans. Database Syst. Philip S. Yu, Avraham Leff, Yann-Hang Lee
1991	—	`conf`	Optimal All-to-All Broadcasting Schemes in Distributed Systems. PDIS Ming-Syan Chen, Philip S. Yu, Kun-Lung Wu
1991	A*	`conf`	Optimal Buffer Allocation in A Multi-Query Environment. ICDE Philip S. Yu, Douglas W. Cornell
1991	B	`conf`	Performance analysis of optimistic concurrency control schemes with different rerun policies. COMPSAC Philip S. Yu, Daniel M. Dias
1991	A	`conf`	Performance comparisons of buffer coherency policies. ICDCS Asit Dan, Philip S. Yu
1991	—	`conf`	Policies for Efficient Resource Utilization in a Remote Caching Architecture. PDIS Avraham Leff, Philip S. Yu, Joel L. Wolf
1990	J	`jnl`	A Hybrid Distributed Centralized System Structure for Transaction Processing. IEEE Trans. Software Eng. Bruno Ciciani, Daniel M. Dias, Balakrishna R. Iyer, Philip S. Yu
1990	—	`conf`	An Effective Algorithm for Parallelizing Sort Merge in the Presence of Data Skew. DPDS Joel L. Wolf, Daniel M. Dias, Philip S. Yu
1990	J	`jnl`	An Effective Approach to Vertical Partitioning for Physical Design of Relational Databases. IEEE Trans. Software Eng. Douglas W. Cornell, Philip S. Yu
1990	J	`jnl`	Analysis of Replication in Distributed Database Systems. IEEE Trans. Knowl. Data Eng. Bruno Ciciani, Daniel M. Dias, Philip S. Yu
1990	A*	`conf`	Concurrency Control Using Locking with Deferred Blocking. ICDE Philip S. Yu, Daniel M. Dias
1990	A*	`conf`	Database Buffer Model for the Data Sharing Environment. ICDE Asit Dan, Daniel M. Dias, Philip S. Yu
1990	J	`jnl`	Effectiveness of Parallel Joins. IEEE Trans. Knowl. Data Eng. M. Seetha Lakshmi, Philip S. Yu
1990	J	`jnl`	Effectiveness of parallel processing in database systems. Comput. Syst. Sci. Eng. M. Seetha Lakshmi, Philip S. Yu
1990	J	`jnl`	Integrated approach to buffer management and query optimization. Comput. Syst. Sci. Eng. Douglas W. Cornell, Philip S. Yu
1990	—	`conf`	On Workload Characterization of Relational Database Environments. Int. CMG Conference Philip S. Yu, Hans-Ulrich Heiss, Sukho Lee, Ming-Syan Chen
1990	A*	`conf`	The Effect of Skewed Data Access on Buffer Hits and Data Contention an a Data Sharing Environment. VLDB Asit Dan, Daniel M. Dias, Philip S. Yu
1990	A	`conf`	Using Combination of Join and Semijoin Operations for Distributed Query Processing. ICDCS Ming-Syan Chen, Philip S. Yu
1990	—	`conf`	Using Join Operations as Reducers in Distributed Query Processing. DPDS Ming-Syan Chen, Philip S. Yu
1989	A	`conf`	Adaptive Transaction Routing in a Heterogeneous Database Environment. ICDCS Avraham Leff, Philip S. Yu, Yann-Hang Lee
1989	B	`conf`	Adaptive selection of access path and join method. COMPSAC Yann-Hang Lee, Philip S. Yu
1989	—	`conf`	Analysis of Parallel Processing Architectures for Database Systems. ICPP (1) M. Seetha Lakshmi, Philip S. Yu
1989	J	`jnl`	Integrated Concurrency-Coherency Controls for Multisystem Data Sharing. IEEE Trans. Software Eng. Daniel M. Dias, Balakrishna R. Iyer, John T. Robinson, Philip S. Yu
1989	A*	`conf`	Integration of Buffer Management and Query Optimization in Relational Database Environment. VLDB Douglas W. Cornell, Philip S. Yu
1989	A*	`conf`	Limiting Factors of Join Performance on Parallel Processors. ICDE M. Seetha Lakshmi, Philip S. Yu
1989	J	`jnl`	Multisystem Coupling by a Combination of Data Sharing and Data Partitioning. IEEE Trans. Software Eng. Joel L. Wolf, Daniel M. Dias, Balakrishna R. Iyer, Philip S. Yu
1989	J	`jnl`	On Optimal Site Assignment for Relations in the Distributed Database Environment. IEEE Trans. Software Eng. Douglas W. Cornell, Philip S. Yu
1989	A*	`conf`	Performance Analysis of Optimistic Concurrency Control Schemes for Systems with Large Memory. SIGMETRICS Philip S. Yu, Daniel M. Dias
1989	B	`conf`	Performance Comparision of Concurrency Control Protocols for Transaction Processing Systems with Regional Locality. SRDS Bruno Ciciani, Daniel M. Dias, Philip S. Yu
1989	J	`jnl`	Performance Comparison of IO Shipping and Database Call Shipping: Schemes in Multisystem Partitioned Databases. Perform. Evaluation Philip S. Yu, Douglas W. Cornell, Daniel M. Dias, Alexander Thomasian
1989	J	`jnl`	Robust Transaction-Routing Strategies in Distributed Database Systems. IEEE Data Eng. Bull. Yann-Hang Lee, Philip S. Yu, Avraham Leff
1988	A*	`conf`	A Hybrid Data Sharing - Data Partitioning Architecture for Transaction Processing. ICDE Joel L. Wolf, Daniel M. Dias, Balakrishna R. Iyer, Philip S. Yu
1988	J	`jnl`	Dynamic Transaction Routing in Distributed Database Systems. IEEE Trans. Software Eng. Philip S. Yu, Simonetta Balsamo, Yann-Hang Lee
1988	—	`conf`	Effect of Skew on Join Performance in Parallel Architectures. DPDS M. Seetha Lakshmi, Philip S. Yu
1988	A	`conf`	Load Sharing in Hybrid Distributed - Centralized Database Systems. ICDCS Bruno Ciciani, Daniel M. Dias, Philip S. Yu
1988	J	`jnl`	Optimal Design and Sequential Analysis of VLSI Testing Strategy. IEEE Trans. Computers Philip S. Yu, C. Mani Krishna, Yann-Hang Lee
1988	J	`jnl`	Performability comparison of configurable duplex systems. Comput. Syst. Sci. Eng. Balakrishna R. Iyer, Daniel M. Dias, Philip S. Yu
1988	—	`conf`	Robust Transaction Routing in Distributed Database Systems. DPDS Yann-Hang Lee, Philip S. Yu, Avraham Leff
1988	A*	`conf`	Site Assignment for Relations and Join Operations in the Distributed Transaction Processing Environment. ICDE Douglas W. Cornell, Philip S. Yu
1988	J	`jnl`	Tradeoffs Between Coupling Small and Large Processors for Transaction Processing. IEEE Trans. Computers Daniel M. Dias, Balakrishna R. Iyer, Philip S. Yu
1987	A*	`conf`	A Vertical Partitioning Algorithm for Relational Databases. ICDE Douglas W. Cornell, Philip S. Yu
1987	—	`conf`	An Adaptive Optimization Model with Applications to Testing. Computer Performance and Reliability Philip S. Yu, C. Mani Krishna, Yann-Hang Lee
1987	J	`jnl`	Analysis of Affinity Based Routing in Multi-System Data Sharing. Perform. Evaluation Philip S. Yu, Douglas W. Cornell, Daniel M. Dias, Balakrishna R. Iyer
1987	J	`jnl`	Analysis of Fault Tolerant Multiprocessor Architectures for Lock Engine Design. Comput. Syst. Sci. Eng. Balakrishna R. Iyer, Philip S. Yu, Lorenzo Donatiello
1987	A*	`conf`	Design and Analysis of Integrated Concurrency-Coherence Controls. VLDB Daniel M. Dias, Balakrishna R. Iyer, John T. Robinson, Philip S. Yu
1987	A	`conf`	On Centralized versus Geographically Distributed Database Systems. ICDCS Daniel M. Dias, Philip S. Yu, B. T. Bennett
1987	J	`jnl`	On coupling multi-systems through data sharing. Proc. IEEE Philip S. Yu, Daniel M. Dias, John T. Robinson, Balakrishna R. Iyer, Douglas W. Cornell
1987	J	`jnl`	Progressive Transaction Recovery in Distributed DB/DC Systems. IEEE Trans. Computers Yann-Hang Lee, Philip S. Yu, Balakrishna R. Iyer
1987	A	`conf`	Relation Assignment in Distributed Transaction Processing Environment. ICDCS Douglas W. Cornell, Philip S. Yu
1987	A*	`conf`	VLSI Circuit Testing Using an Adaptive Optimization Model. DAC Philip S. Yu, C. Mani Krishna, Yann-Hang Lee
1986	A*	`conf`	Analysis of Multi-System Function Request Shipping. ICDE Douglas W. Cornell, Daniel M. Dias, Philip S. Yu
1986	A	`conf`	Analysis of Recovery Protocols in Distributed On-Line Transaction Processing Systems. RTSS Balakrishna R. Iyer, Philip S. Yu, Yann-Hang Lee
1986	—	`conf`	Dynamic Load Sharing in Distributed Database Systems. FJCC Philip S. Yu, Simonetta Balsamo, Yann-Hang Lee
1986	A*	`conf`	On Affinity Based Routing in Multi-System Data Sharing. VLDB Philip S. Yu, Douglas W. Cornell, Daniel M. Dias, Balakrishna R. Iyer
1986	A*	`conf`	On Coupling Many Small Systems for Transaction Processing. ISCA Daniel M. Dias, Balakrishna R. Iyer, Philip S. Yu
1986	A	`conf`	On Coupling Partitioned Database Systems. ICDCS Philip S. Yu, Douglas W. Cornell, Daniel M. Dias, Alexander Thomasian
1986	J	`jnl`	On Multisystem Coupling Through Function Request Shipping. IEEE Trans. Software Eng. Douglas W. Cornell, Daniel M. Dias, Philip S. Yu
1986	—	`conf`	Performability Analysis of Operation Modes of Configurable Duplex Systems. FJCC Balakrishna R. Iyer, Daniel M. Dias, Philip S. Yu
1986	—	`conf`	Transaction Recovery in Distributed DB/DC Systems: A Progressive Approach. Symposium on Reliability in Distributed Software and Database Systems Philip S. Yu, Balakrishna R. Iyer, Yann-Hang Lee
1985	—	`conf`	Distributed Concurrency Control Analysis for Data Sharing. Int. CMG Conference Philip S. Yu, Daniel M. Dias, John T. Robinson, Balakrishna R. Iyer, Douglas W. Cornell
1985	A*	`conf`	Modelling of Centralized Concurrency Control in a Multi-System Environment. SIGMETRICS Philip S. Yu, Daniel M. Dias, John T. Robinson, Balakrishna R. Iyer, Douglas W. Cornell
1983	J	`jnl`	An approximation technique for central server queueing models with a priority dispatching rule. Perform. Evaluation We-Min Chow, Philip S. Yu
1982	J	`jnl`	A Hybrid ARQ Scheme with Parity Retransmission for Error Control of Satellite Channels. IEEE Trans. Commun. Shu Lin, Philip S. Yu
1981	J	`jnl`	An Efficient Selective-Repeat ARQ Scheme for Satellite Channels and Its Throughput Analysis. IEEE Trans. Commun. Philip S. Yu, Shu Lin
1981	J	`jnl`	An efficient selective-repeat ARQ scheme for satellite channels and its throughput analysis. Perform. Evaluation Philip S. Yu, Shu Lin
1980	J	`jnl`	An Effective Error Control Scheme for Satellite Communications. IEEE Trans. Commun. Shu Lin, Philip S. Yu