Qiang Yang - RankMe

824 papers A* 225A 48B 16C 17Misc 9Journal 412Unranked 77

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey on multi-behavior sequential recommendation. Sci. China Inf. Sci. Xiaoqing Chen, Zhitao Li, Weike Pan, Qiang Yang, Zhong Ming
2026	J	`jnl`	Advances and Open Challenges in Federated Foundation Models. IEEE Commun. Surv. Tutorials Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Bo Zhao, Liping Yi, Alysa Ziying Tan, Yulan Gao, Anran Li, Xiaoxiao Li, Zengxiang Li, Qiang Yang
2026	J	`jnl`	CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News. CoRR Liyuan Chen, Shilong Li, Jiangpeng Yan, Shuoling Liu, Qiang Yang, Xiu Li
2026	J	`jnl`	Disentangling data distribution for optimal and communication-efficient federated learning. Artif. Intell. Xinyuan Zhao, Hanlin Gu, Lixin Fan, Yuxing Han, Qiang Yang
2026	J	`jnl`	FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Client. CoRR Gongxi Zhu, Hanlin Gu, Lixin Fan, Qiang Yang, Yuxing Han
2026	A*	`conf`	FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients. AAAI Gongxi Zhu, Hanlin Gu, Lixin Fan, Qiang Yang, Yuxing Han
2026	J	`jnl`	FedPRS: A Privacy-preserving Representation Synthesis Framework for Federated Contribution Evaluation. ACM Trans. Intell. Syst. Technol. Yuwei Fan, Yuan Yao, Wei Xi, Quan Zhao, Zelei Liu, Lixin Fan, Qiang Yang, Jian Jin
2026	A*	`conf`	Federated Vision-Language-Recommendation with Personalized Fusion. AAAI Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang, Qiang Yang
2026	J	`jnl`	From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents. CoRR Shuoling Liu, Zhiquan Tan, Kun Yi, Hui Wu, Yihan Li, Jiangpeng Yan, Liyuan Chen, Kai Chen, Qiang Yang
2026	A*	`conf`	LoRA-E WWW Shengkun Zhu, Jinshan Zeng, Yiming Wang, Sheng Wang, Yuan Sun, Shangfeng Chen, Yuan Yao, Qiang Yang
2026	A*	`conf`	Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models. AAAI Fuyao Zhang, Xinyu Yan, Tiantong Wu, Wenjie Li, Tianxiang Chen, Yang Cao, Ran Yan, Longtao Huang, Wei Yang Bryan Lim, Qiang Yang
2026	J	`jnl`	Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment. CoRR Hongyi Peng, Han Yu, Xiaoxiao Li, Qiang Yang
2026	J	`jnl`	TQPP: A Trust, quality and privacy preserving data collection scheme for mobile crowdsensing. Inf. Sci. Anfeng Liu, Zhipeng Liu, Qiang Yang, Neal N. Xiong, Shaobo Zhang, Tian Wang
2025	J	`jnl`	A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. IEEE Trans. Big Data Yuanqin He, Yan Kang, Xinyuan Zhao, Jiahuan Luo, Lixin Fan, Yuxing Han, Qiang Yang
2025	J	`jnl`	A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. IEEE Trans. Big Data Hanlin Gu, Xinyuan Zhao, Gongxi Zhu, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang
2025	J	`jnl`	A Trust, Probability Deviation, and Path-Dependence-Based Incentive Mechanism to Improve Data Quality and Coverage in MCS. IEEE Internet Things J. Jinyan Chen, Jiaming Zhang, Qiang Yang, Shaobo Zhang, Anfeng Liu
2025	J	`jnl`	A survey on cross-user federated recommendation. Sci. China Inf. Sci. Enyue Yang, Yudi Xiong, Wei Yuan, Weike Pan, Qiang Yang, Zhong Ming
2025	J	`jnl`	AdaSemb: an adaptive knowledge-driven deep learning framework integrating cancer protein assemblies for predicting PI3Kα inhibitor response and resistance. Briefings Bioinform. Zaiduo Li, Qiang Yang, Long Xu, Weihe Dong, Xiaochuan Yang, Xianyu Zhang, Tiansong Yang, Xiaokun Li, Mingliang Liu
2025	J	`jnl`	Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. CoRR Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian T. Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu
2025	J	`jnl`	Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges. CoRR Liyuan Chen, Shuoling Liu, Jiangpeng Yan, Xiaoyu Wang, Henglin Liu, Chuang Li, Kecheng Jiao, Jixuan Ying, Yang Veronica Liu, Qiang Yang, Xiu Li
2025	B	`conf`	Beyond Right to be Forgotten: Managing Heterogeneity Side Effects Through Strategic Incentives. MobiHoc Jiaqi Shao, Tao Lin, Xiaojin Zhang, Qiang Yang, Bing Luo
2025	J	`jnl`	Beyond scaleup: Knowledge-aware parsimony learning from deep networks. AI Mag. Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
2025	J	`jnl`	Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. Yudi Xiong, Yongxin Guo, Weike Pan, Qiang Yang, Zhong Ming, Xiaojin Zhang, Han Yu, Tao Lin, Xiaoying Tang
2025	J	`jnl`	Cross-User Federated Recommendation Unlearning. ACM Trans. Intell. Syst. Technol. Yang Li, Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming
2025	J	`jnl`	Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning. CoRR Xiaojin Zhang, Mingcong Xu, Yiming Li, Wei Chen, Qiang Yang
2025	J	`jnl`	Enhancing Security and Privacy in Federated Learning Using Low-Dimensional Update Representation and Proximity-Based Defense. IEEE Trans. Knowl. Data Eng. Wenjie Li, Kai Fan, Jingyuan Zhang, Hui Li, Wei Yang Bryan Lim, Qiang Yang
2025	—	`conf`	FedCoT: Federated Chain-of-Thought Distillation for Large Language Models. EMNLP (Findings) Tao Fan, Weijing Chen, Yan Kang, Guoqiang Ma, Hanlin Gu, Yuanfeng Song, Lixin Fan, Qiang Yang
2025	B	`conf`	FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. COLING Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
2025	J	`jnl`	FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. IEEE Trans. Dependable Secur. Comput. Shuo Shao, Wenyuan Yang, Hanlin Gu, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren
2025	—	`conf`	Federated Financial Reasoning Distillation: Training A Small Financial Expert by Learning From Multiple Teachers. ICAIF Shuoling Liu, Jiangpeng Yan, Xiaoyu Wang, Yuhang Jiang, Liyuan Chen, Tao Fan, Kai Chen, Qiang Yang
2025	J	`jnl`	Grounding Foundation Models through Federated Transfer Learning: A General Framework. ACM Trans. Intell. Syst. Technol. Yan Kang, Tao Fan, Hanlin Gu, Xiaojin Zhang, Lixin Fan, Qiang Yang
2025	J	`jnl`	Guest Editorial: Special Issue on Trustworthy Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Qiang Yang, Han Yu, Sin G. Teo, Bo Li, Guodong Long, Chao Jin, Lixin Fan, Yang Liu, Le Zhang
2025	A*	`conf`	Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor. CVPR Hao Yu, Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang
2025	—	`conf`	HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. KDD (2) Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang
2025	J	`jnl`	HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. CoRR Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang
2025	J	`jnl`	INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling. CoRR Haochen Shi, Tianshi Zheng, Weiqi Wang, Baixuan Xu, Chunyang Li, Chunkit Chan, Tao Fan, Yangqiu Song, Qiang Yang
2025	J	`jnl`	Image classification based on enhanced learning of global and local features with structural priors. Knowl. Based Syst. Yuan Cao, Di Jiang, Qiang Yang
2025	J	`jnl`	Introduction to the Special Issue on Evaluations of Large Language Models: Part 1. ACM Trans. Intell. Syst. Technol. Jindong Wang, Linyi Yang, Sunayana Sitaram, Qiang Yang, Bhiksha Raj
2025	J	`jnl`	Large-Small Model Collaborative Framework for Federated Continual Learning. CoRR Hao Yu, Xin Yang, Boyang Fan, Xuemei Cao, Hanlin Gu, Lixin Fan, Qiang Yang
2025	A*	`conf`	Model-based Large Language Model Customization as Service. EMNLP Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang
2025	J	`jnl`	No free lunch theorem for privacy-preserving LLM inference. Artif. Intell. Xiaojin Zhang, Yahao Pang, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang
2025	J	`jnl`	Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models. CoRR Fuyao Zhang, Xinyu Yan, Tiantong Wu, Wenjie Li, Tianxiang Chen, Yang Cao, Ran Yan, Longtao Huang, Wei Yang Bryan Lim, Qiang Yang
2025	J	`jnl`	Ownership Verification for Federated Recommendation. ACM Trans. Inf. Syst. Enyue Yang, Weike Pan, Lixin Fan, Hanlin Gu, Zhitao Li, Qiang Yang, Zhong Ming
2025	A*	`conf`	PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs. ICML Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang
2025	J	`jnl`	PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs. CoRR Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang
2025	J	`jnl`	PPAT: An effective scheme ensuring privacy-preserving, accuracy, and trust for worker selection in mobile crowdsensing networks. Future Gener. Comput. Syst. Qianxue Guo, Yasha He, Qian Li, Anfeng Liu, Neal N. Xiong, Qian He, Qiang Yang, Shaobo Zhang
2025	A*	`conf`	PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation. EMNLP Tao Fan, Guoqiang Ma, Yuanfeng Song, Lixin Fan, Qiang Yang
2025	J	`jnl`	PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation. CoRR Tao Fan, Guoqiang Ma, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
2025	J	`jnl`	Personalized Recommendation Models in Federated Settings: A Survey. CoRR Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang
2025	J	`jnl`	Personalized Recommendation Models in Federated Settings: A Survey. IEEE Trans. Knowl. Data Eng. Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang
2025	J	`jnl`	Ten Challenging Problems in Federated Foundation Models. CoRR Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang
2025	J	`jnl`	Ten Challenging Problems in Federated Foundation Models. IEEE Trans. Knowl. Data Eng. Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang
2025	J	`jnl`	Theories and applications of financial large models. Frontiers Inf. Technol. Electron. Eng. Shuoling Liu, Xiaojun Zeng, Xiu Li, Qiang Yang
2025	J	`jnl`	Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks. CoRR Yang Liu, Bingjie Yan, Tianyuan Zou, Jianqing Zhang, Zixuan Gu, Jianbing Ding, Xidong Wang, Jingyi Li, Xiaozhou Ye, Ye Ouyang, Qiang Yang, Ya-Qin Zhang
2025	J	`jnl`	Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study. CoRR Baixuan Xu, Chunyang Li, Weiqi Wang, Wei Fan, Tianshi Zheng, Haochen Shi, Tao Fan, Yangqiu Song, Qiang Yang
2025	J	`jnl`	When DeepSeek-R1 meets financial applications: benchmarking, opportunities, and limitations. Frontiers Inf. Technol. Electron. Eng. Shuoling Liu, Liyuan Chen, Jiangpeng Yan, Yuhang Jiang, Xiaoyu Wang, Xiu Li, Qiang Yang
2024	J	`jnl`	A Game-theoretic Framework for Privacy-preserving Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
2024	J	`jnl`	A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
2024	J	`jnl`	A Survey for Federated Learning Evaluations: Goals and Measures. IEEE Trans. Knowl. Data Eng. Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang
2024	J	`jnl`	A Survey on Contribution Evaluation in Vertical Federated Learning. CoRR Yue Cui, Chung-ju Huang, Yuzhu Zhang, Leye Wang, Lixin Fan, Xiaofang Zhou, Qiang Yang
2024	A*	`conf`	A Survey on Cross-Domain Sequential Recommendation. IJCAI Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming
2024	J	`jnl`	A Survey on Cross-Domain Sequential Recommendation. CoRR Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming
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 Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting. IEEE Trans. Image Process. Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang
2024	J	`jnl`	A mechanism design approach for multi-party machine learning. Theor. Comput. Sci. Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
2024	J	`jnl`	Accelerating Vertical Federated Learning. IEEE Trans. Big Data Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang
2024	J	`jnl`	Addressing Spatial-Temporal Data Heterogeneity in Federated Continual Learning via Tail Anchor. CoRR Hao Yu, Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang
2024	J	`jnl`	Advances and Open Challenges in Federated Learning with Foundation Models. CoRR Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang
2024	A	`conf`	Byzantine Robust Aggregation in Federated Distillation with Adversaries. ICDCS Wenrui Li, Hanlin Gu, Sheng Wan, Zhirong Luan, Wei Xi, Lixin Fan, Qiang Yang, Badong Chen
2024	A*	`conf`	Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. AAAI Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang
2024	J	`jnl`	Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph. ACM Trans. Intell. Syst. Technol. Zhitao Li, Zhaohao Lin, Feng Liang, Weike Pan, Qiang Yang, Zhong Ming
2024	J	`jnl`	Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning. IEEE Trans. Big Data Tianyuan Zou, Yang Liu, Yan Kang, Wenhan Liu, Yuanqin He, Zhihao Yi, Qiang Yang, Ya-Qin Zhang
2024	—	`conf`	Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. ECCV (30) Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang
2024	J	`jnl`	Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. CoRR Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang
2024	J	`jnl`	Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming
2024	J	`jnl`	Disentangling data distribution for Federated Learning. CoRR Xinyuan Zhao, Hanlin Gu, Lixin Fan, Qiang Yang, Yuxing Han
2024	J	`jnl`	Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie
2024	—	`conf`	Efficient Decentralized Federated Singular Vector Decomposition. USENIX ATC Di Chai, Junxue Zhang, Liu Yang, Yilun Jin, Leye Wang, Kai Chen, Qiang Yang
2024	J	`jnl`	Enhancing Security and Privacy in Federated Learning using Update Digests and Voting-Based Defense. CoRR Wenjie Li, Kai Fan, Jingyuan Zhang, Hui Li, Wei Yang Bryan Lim, Qiang Yang
2024	J	`jnl`	Evaluating Membership Inference Attacks and Defenses in Federated Learning. CoRR Gongxi Zhu, Donghao Li, Hanlin Gu, Yuxing Han, Yuan Yao, Lixin Fan, Qiang Yang
2024	J	`jnl`	FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. CoRR Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang
2024	J	`jnl`	FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem. IEEE Trans. Knowl. Data Eng. Zhitao Li, Xueyang Wu, Weike Pan, Youlong Ding, Zeheng Wu, Shengqi Tan, Qian Xu, Qiang Yang, Zhong Ming
2024	J	`jnl`	FedCoLLM: A Parameter-Efficient Federated Co-tuning Framework for Large and Small Language Models. CoRR Tao Fan, Yan Kang, Guoqiang Ma, Lixin Fan, Kai Chen, Qiang Yang
2024	J	`jnl`	FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. IEEE Trans. Pattern Anal. Mach. Intell. Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang
2024	J	`jnl`	FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom. CoRR Yuanqin He, Yan Kang, Lixin Fan, Qiang Yang
2024	J	`jnl`	FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning. CoRR Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao, Qiang Yang
2024	J	`jnl`	FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. CoRR Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
2024	J	`jnl`	Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data. CoRR Haoran Li, Xinyuan Zhao, Dadi Guo, Hanlin Gu, Ziqian Zeng, Yuxing Han, Yangqiu Song, Lixin Fan, Qiang Yang
2024	J	`jnl`	Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. CoRR Yan Kang, Ziyao Ren, Lixin Fan, Linghua Yang, Yongxin Tong, Qiang Yang
2024	J	`jnl`	Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. CoRR Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
2024	—	`conf`	Label Privacy Source Coding in Vertical Federated Learning. ECML/PKDD (1) Dashan Gao, Sheng Wan, Hanlin Gu, Lixin Fan, Xin Yao, Qiang Yang
2024	Misc	`conf`	Learn to Cluster Faces with Better Subgraphs. ICASSP Yuan Cao, Di Jiang, Guanqun Hou, Fan Deng, Xinjia Chen, Qiang Yang
2024	J	`jnl`	Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation. CoRR Guowei Wu, Weike Pan, Qiang Yang, Zhong Ming
2024	A*	`conf`	Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. ICDE Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan, Qiang Yang
2024	J	`jnl`	Model-Based Differentially Private Knowledge Transfer for Large Language Models. CoRR Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang
2024	J	`jnl`	Multi-Task Learning in Natural Language Processing: An Overview. ACM Comput. Surv. Shijie Chen, Yu Zhang, Qiang Yang
2024	J	`jnl`	No Free Lunch Theorem for Privacy-Preserving LLM Inference. CoRR Xiaojin Zhang, Yulin Fei, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang
2024	J	`jnl`	Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework. ACM Trans. Intell. Syst. Technol. Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
2024	J	`jnl`	PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models. CoRR Tao Fan, Yan Kang, Weijing Chen, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
2024	J	`jnl`	PackVFL: Efficient HE Packing for Vertical Federated Learning. CoRR Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang
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 Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability. IEEE Trans. Big Data Yan Kang, Yuanqin He, Jiahuan Luo, Tao Fan, Yang Liu, Qiang Yang
2024	—	`conf`	Secure Dataset Condensation for Privacy-Preserving and Efficient Vertical Federated Learning. ECML/PKDD (1) Dashan Gao, Canhui Wu, Xiaojin Zhang, Xin Yao, Qiang Yang
2024	—	`conf`	SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree. PAKDD (3) Tao Fan, Weijing Chen, Guoqiang Ma, Yan Kang, Lixin Fan, Qiang Yang
2024	J	`jnl`	Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces. IEEE Trans. Pattern Anal. Mach. Intell. Qiao Xiao, Yu Zhang, Qiang Yang
2024	A*	`conf`	Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. NeurIPS Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin
2024	J	`jnl`	Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. CoRR Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin
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	A*	`conf`	The Good, The Bad, and Why: Unveiling Emotions in Generative AI. ICML Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
2024	A*	`conf`	Unlearning during Learning: An Efficient Federated Machine Unlearning Method. IJCAI Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
2024	J	`jnl`	Unlearning during Learning: An Efficient Federated Machine Unlearning Method. CoRR Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
2024	J	`jnl`	Vertical Federated Learning: Concepts, Advances, and Challenges. IEEE Trans. Knowl. Data Eng. Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
2023	J	`jnl`	A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. CoRR Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan, Qiang Yang
2023	J	`jnl`	A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges. IEEE Commun. Surv. Tutorials Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Shen, Chunyan Miao
2023	J	`jnl`	A Game-theoretic Framework for Federated Learning. CoRR Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
2023	J	`jnl`	A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. ACM Trans. Inf. Syst. Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming
2023	J	`jnl`	A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. CoRR Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
2023	J	`jnl`	A Survey for Federated Learning Evaluations: Goals and Measures. CoRR Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang
2023	J	`jnl`	A Survey of Heterogeneous Transfer Learning. CoRR Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye
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 Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. CoRR Hanlin Gu, Xinyuan Zhao, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang
2023	J	`jnl`	A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. CoRR Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang
2023	—	`conf`	Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. PAKDD (2) Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang
2023	J	`jnl`	CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning. AI Mag. Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang
2023	J	`jnl`	DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization. CoRR Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie
2023	A*	`conf`	Distribution-Regularized Federated Learning on Non-IID Data. ICDE Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang
2023	J	`jnl`	Enhance Mono-modal Sentiment Classification with Federated Cross-modal Transfer. IEEE Data Eng. Bull. Xueyang Wu, Di Jiang, Yuanfeng Song, Qian Xu, Qiang Yang
2023	J	`jnl`	FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models. CoRR Tao Fan, Yan Kang, Guoqiang Ma, Weijing Chen, Wenbin Wei, Lixin Fan, Qiang Yang
2023	J	`jnl`	FedIPR: Ownership Verification for Federated Deep Neural Network Models. IEEE Trans. Pattern Anal. Mach. Intell. Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang
2023	A*	`conf`	FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. IJCAI Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
2023	J	`jnl`	FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. CoRR Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
2023	J	`jnl`	FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature. CoRR Wenyuan Yang, Gongxi Zhu, Yuguo Yin, Hanlin Gu, Lixin Fan, Qiang Yang, Xiaochun Cao
2023	J	`jnl`	FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof. CoRR Wenyuan Yang, Yuguo Yin, Gongxi Zhu, Hanlin Gu, Lixin Fan, Xiaochun Cao, Qiang Yang
2023	J	`jnl`	Federated Learning with Privacy-preserving and Model IP-right-protection. Int. J. Autom. Comput. Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong, Bowen Li
2023	J	`jnl`	Federated Learning without Full Labels: A Survey. CoRR Yilun Jin, Yang Liu, Kai Chen, Qiang Yang
2023	J	`jnl`	Global Trends in the Study of Smart Healthcare Systems for the Elderly: Artificial Intelligence Solutions. Int. J. Comput. Intell. Syst. Yi Zhu, Qiang Yang, Xinfa Mao
2023	J	`jnl`	Grounding Foundation Models through Federated Transfer Learning: A General Framework. CoRR Yan Kang, Tao Fan, Hanlin Gu, Lixin Fan, Qiang Yang
2023	J	`jnl`	Learn to Cluster Faces with Better Subgraphs. CoRR Yuan Cao, Di Jiang, Guanqun Hou, Fan Deng, Xinjia Chen, Qiang Yang
2023	J	`jnl`	LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. ACM Trans. Knowl. Discov. Data Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang
2023	—	`conf`	Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval. PAKDD (3) Mengmeng Kuang, Zhenhong Chen, Weiyan Wang, Lie Kang, Qiang Yang, Min Tang, Penghui Hao
2023	J	`jnl`	No Free Lunch Theorem for Security and Utility in Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
2023	J	`jnl`	Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. CoRR Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
2023	J	`jnl`	Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming
2023	J	`jnl`	Probably Approximately Correct Federated Learning. CoRR Xiaojin Zhang, Anbu Huang, Lixin Fan, Kai Chen, Qiang Yang
2023	J	`jnl`	Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven. IEEE Wirel. Commun. Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao, Sumei Sun, Qiang Yang
2023	J	`jnl`	SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. CoRR Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang
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	J	`jnl`	The Good, The Bad, and Why: Unveiling Emotions in Generative AI. CoRR Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
2023	J	`jnl`	Theoretically Principled Federated Learning for Balancing Privacy and Utility. CoRR Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang
2023	J	`jnl`	Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion. CoRR Xiaojin Zhang, Kai Chen, Qiang Yang
2023	J	`jnl`	Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies. IEEE Trans. Big Data Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang
2023	J	`jnl`	Towards Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang
2023	J	`jnl`	Trading Off Privacy, Utility, and Efficiency in Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
2023	J	`jnl`	Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming
2023	A*	`conf`	Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities. KDD Yilun Jin, Kai Chen, Qiang Yang
2023	J	`jnl`	Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks. Trans. Mach. Learn. Res. Zhen Xu, Quanming Yao, Yong Li, Qiang Yang
2023	J	`jnl`	ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning. CoRR Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
2022	J	`jnl`	A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. CoRR Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang
2022	J	`jnl`	A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies, and Challenges. CoRR Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Sherman Shen, Chunyan Miao
2022	J	`jnl`	A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. CoRR Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang
2022	Misc	`conf`	A Mechanism Design Approach for Multi-party Machine Learning. FAW Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
2022	J	`jnl`	A Survey on Multi-Task Learning. IEEE Trans. Knowl. Data Eng. Yu Zhang, Qiang Yang
2022	J	`jnl`	Accelerating Vertical Federated Learning. CoRR Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang
2022	J	`jnl`	An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application. CoRR Youlong Ding, Xueyang Wu, Zhitao Li, Zeheng Wu, Shengqi Tan, Qian Xu, Weike Pan, Qiang Yang
2022	A*	`conf`	Contribution-Aware Federated Learning for Smart Healthcare. AAAI Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang
2022	A	`conf`	Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. CIKM Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang
2022	J	`jnl`	Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. CoRR Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang
2022	J	`jnl`	DeepIPR: Deep Neural Network Ownership Verification With Passports. IEEE Trans. Pattern Anal. Mach. Intell. Lixin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang
2022	J	`jnl`	Efficient Federated Matrix Factorization Against Inference Attacks. ACM Trans. Intell. Syst. Technol. Di Chai, Leye Wang, Kai Chen, Qiang Yang
2022	J	`jnl`	FadMan: Federated Anomaly Detection across Multiple Attributed Networks. CoRR Nannan Wu, Ning Zhang, Wenjun Wang, Lixin Fan, Qiang Yang
2022	J	`jnl`	FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features. IEEE Trans. Signal Process. Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tianjian Chen, Mingyi Hong, Qiang Yang
2022	A*	`conf`	FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. IJCAI Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang
2022	J	`jnl`	FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. CoRR Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang
2022	J	`jnl`	FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. CoRR Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren
2022	J	`jnl`	Federated Learning with Quantum Secure Aggregation. CoRR Yichi Zhang, Chao Zhang, Cai Zhang, Lixin Fan, Bei Zeng, Qiang Yang
2022	J	`jnl`	Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. ACM Trans. Intell. Syst. Technol. Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
2022	J	`jnl`	MIDP: An MDP-based intelligent big data processing scheme for vehicular edge computing. J. Parallel Distributed Comput. Shun Liu, Qiang Yang, Shaobo Zhang, Tian Wang, Neal N. Xiong
2022	J	`jnl`	No Free Lunch Theorem for Security and Utility in Federated Learning. CoRR Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
2022	A*	`conf`	On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration. IJCAI Di Jiang, Yuan Cao, Qiang Yang
2022	A*	`conf`	Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. KDD Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang
2022	—	`conf`	Practical and Secure Federated Recommendation with Personalized Mask. FL@IJCAI Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang
2022	J	`jnl`	Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. ACM Trans. Intell. Syst. Technol. Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
2022	J	`jnl`	Protect, show, attend and tell: Empowering image captioning models with ownership protection. Pattern Recognit. Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang
2022	J	`jnl`	Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven. CoRR Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao, Sumei Sun, Qiang Yang
2022	A*	`conf`	Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting. KDD Yilun Jin, Kai Chen, Qiang Yang
2022	J	`jnl`	Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang
2022	A*	`conf`	Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud. SP Han Tian, Chaoliang Zeng, Zhenghang Ren, Di Chai, Junxue Zhang, Kai Chen, Qiang Yang
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	J	`jnl`	The New Faculty Highlights Program at AAAI-21. AI Mag. Kevin Leyton-Brown, Mausam, Qiang Yang
2022	J	`jnl`	Trading Off Privacy, Utility and Efficiency in Federated Learning. CoRR Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
2022	J	`jnl`	Vertical Federated Learning. CoRR Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
2022	J	`jnl`	WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning. CoRR Xueyang Wu, Shengqi Tan, Qian Xu, Qiang Yang
2021	J	`jnl`	A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning. ACM Trans. Intell. Syst. Technol. Di Jiang, Conghui Tan, Jinhua Peng, Chaotao Chen, Xueyang Wu, Weiwei Zhao, Yuanfeng Song, Yongxin Tong, Chang Liu, Qian Xu, Qiang Yang, Li Deng
2021	J	`jnl`	A Game-theoretic Approach Towards Collaborative Coded Computation Offloading. CoRR Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Cyril Leung, Dong In Kim, Junshan Zhang, Qiang Yang
2021	A*	`conf`	A Health-friendly Speaker Verification System Supporting Mask Wearing. AAAI Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Chen Jason Zhang, Qian Xu, Lixin Fan, Qiang Yang
2021	J	`jnl`	Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2021	J	`jnl`	CityNet: A Multi-city Multi-modal Dataset for Smart City Applications. CoRR Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen
2021	J	`jnl`	Correction to: Transfer Hierarchical Attention Network for Generative Dialog System. Int. J. Autom. Comput. Xiang Zhang, Qiang Yang
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`	Defending Label Inference and Backdoor Attacks in Vertical Federated Learning. CoRR Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang
2021	J	`jnl`	FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection. J. Mach. Learn. Res. Yang Liu, Tao Fan, Tianjian Chen, Qian Xu, Qiang Yang
2021	J	`jnl`	FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery. Bioinform. Shaoqi Chen, Dongyu Xue, Guohui Chuai, Qiang Yang, Qi Liu
2021	J	`jnl`	FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. CoRR Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang
2021	J	`jnl`	FedIPR: Ownership Verification for Federated Deep Neural Network Models. CoRR Lixin Fan, Bowen Li, Hanlin Gu, Jie Li, Qiang Yang
2021	J	`jnl`	Federated Deep Learning with Bayesian Privacy. CoRR Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang
2021	J	`jnl`	Federated Learning-Powered Visual Object Detection for Safety Monitoring. AI Mag. Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang
2021	J	`jnl`	Federated Singular Vector Decomposition. CoRR Di Chai, Leye Wang, Lianzhi Fu, Junxue Zhang, Kai Chen, Qiang Yang
2021	J	`jnl`	Industrial Federated Topic Modeling. ACM Trans. Intell. Syst. Technol. Di Jiang, Yongxin Tong, Yuanfeng Song, Xueyang Wu, Weiwei Zhao, Jinhua Peng, Rongzhong Lian, Qian Xu, Qiang Yang
2021	A*	`conf`	L2RS: A Learning-to-Rescore Mechanism for Hybrid Speech Recognition. ACM Multimedia Yuanfeng Song, Di Jiang, Xuefang Zhao, Qian Xu, Raymond Chi-Wing Wong, Lixin Fan, Qiang Yang
2021	A*	`conf`	Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing. KDD Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang
2021	J	`jnl`	LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. CoRR Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang
2021	J	`jnl`	Practical and Secure Federated Recommendation with Personalized Masks. CoRR Liu Yang, Ben Tan, Bo Liu, Vincent W. Zheng, Kai Chen, Qiang Yang
2021	J	`jnl`	Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability. CoRR Yan Kang, Yang Liu, Yuezhou Wu, Guoqiang Ma, Qiang Yang
2021	A*	`ed.`	Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICAPS 2021, Guangzhou, China (virtual), August 2-13, 2021 ICAPS Susanne Biundo, Minh Do, Robert Goldman, Michael Katz, Qiang Yang, Hankz Hankui Zhuo
2021	A*	`conf`	Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks. CVPR Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang
2021	J	`jnl`	Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack. CoRR Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang
2021	J	`jnl`	Q-learning based flexible task scheduling in a global view for the Internet of Things. Trans. Emerg. Telecommun. Technol. Junxiao Ge, Bin Liu, Tian Wang, Qiang Yang, Anfeng Liu, Ang Li
2021	A	`conf`	QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CIKM Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang
2021	J	`jnl`	QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CoRR Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang
2021	J	`jnl`	Secure Federated Matrix Factorization. IEEE Intell. Syst. Di Chai, Leye Wang, Kai Chen, Qiang Yang
2021	J	`jnl`	SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning. CoRR Weijing Chen, Guoqiang Ma, Tao Fan, Yan Kang, Qian Xu, Qiang Yang
2021	J	`jnl`	SecureBoost: A Lossless Federated Learning Framework. IEEE Intell. Syst. Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang
2021	J	`jnl`	Self-supervised Cross-silo Federated Neural Architecture Search. CoRR Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang
2021	A*	`conf`	SmartMeeting: Automatic Meeting Transcription and Summarization for In-Person Conversations. ACM Multimedia Yuanfeng Song, Di Jiang, Xuefang Zhao, Xiaoling Huang, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang
2021	A*	`conf`	SmartSales: An AI-Powered Telemarketing Coaching System in FinTech. ACM Multimedia Yuanfeng Song, Xuefang Zhao, Di Jiang, Xiaoling Huang, Weiwei Zhao, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang
2021	J	`jnl`	Social explorative attention based recommendation for content distribution platforms. Data Min. Knowl. Discov. Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
2021	J	`jnl`	StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing. ACM Trans. Intell. Syst. Technol. Anbu Huang, Yang Liu, Tianjian Chen, Yongkai Zhou, Quan Sun, Hongfeng Chai, Qiang Yang
2021	J	`jnl`	Ternary Hashing. CoRR Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang
2021	J	`jnl`	Toward Responsible AI: An Overview of Federated Learning for User-centered Privacy-preserving Computing. ACM Trans. Interact. Intell. Syst. Qiang Yang
2021	J	`jnl`	Towards Personalized Federated Learning. CoRR Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang
2021	A	`conf`	TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation. EACL Guangneng Hu, Qiang Yang
2021	J	`jnl`	TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation. CoRR Guangneng Hu, Qiang Yang
2020	A*	`conf`	A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition. IJCAI Conghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu, Qian Xu, Qiang Yang
2020	C	`conf`	A Fairness-aware Incentive Scheme for Federated Learning. AIES Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang
2020	A	`conf`	A Federated Recommender System for Online Services. RecSys Ben Tan, Bo Liu, Vincent W. Zheng, Qiang Yang
2020	—	`ch.`	A Gamified Research Tool for Incentive Mechanism Design in Federated Learning. Federated Learning Zichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, Yang Liu, Qiang Yang
2020	A*	`conf`	A Multi-player Game for Studying Federated Learning Incentive Schemes. IJCAI Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang
2020	J	`jnl`	A Secure Federated Transfer Learning Framework. IEEE Intell. Syst. Yang Liu, Yan Kang, Chaoping Xing, Tianjian Chen, Qiang Yang
2020	J	`jnl`	A Survey towards Federated Semi-supervised Learning. CoRR Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang
2020	J	`jnl`	A Sustainable Incentive Scheme for Federated Learning. IEEE Intell. Syst. Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang
2020	J	`jnl`	Addressing the Challenges of Government Service Provision with AI. AI Mag. Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Yang Liu, Qiang Yang
2020	A*	`conf`	Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon
2020	A	`conf`	Cooperative Multi-Agent Reinforcement Learning in Express System. CIKM Yexin Li, Yu Zheng, Qiang Yang
2020	A	`conf`	Exploring Clustering of Bandits for Online Recommendation System. RecSys Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang
2020	J	`jnl`	FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning. CoRR Di Chai, Leye Wang, Kai Chen, Qiang Yang
2020	J	`jnl`	FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr
2020	A*	`conf`	FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. AAAI Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang
2020	J	`jnl`	FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. CoRR Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang
2020	—	`book`	Federated Learning - Privacy and Incentive Federated Learning Qiang Yang, Lixin Fan, Han Yu
2020	J	`jnl`	Federated Learning in Mobile Edge Networks: A Comprehensive Survey. IEEE Commun. Surv. Tutorials Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao
2020	—	`ch.`	Federated Recommendation Systems. Federated Learning Liu Yang, Ben Tan, Vincent W. Zheng, Kai Chen, Qiang Yang
2020	J	`jnl`	Federated learning for privacy-preserving AI. Commun. ACM Yong Cheng, Yang Liu, Tianjian Chen, Qiang Yang
2020	A	`conf`	Fisher Deep Domain Adaptation. SDM Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang
2020	J	`jnl`	Fisher Deep Domain Adaptation. CoRR Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang
2020	A*	`conf`	GoldenRetriever: A Speech Recognition System Powered by Modern Information Retrieval. ACM Multimedia Yuanfeng Song, Di Jiang, Xiaoling Huang, Yawen Li, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang
2020	J	`jnl`	Graph Random Neural Network. CoRR Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang
2020	A*	`conf`	Graph Random Neural Networks for Semi-Supervised Learning on Graphs. NeurIPS Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang
2020	J	`jnl`	Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks. IEEE Internet Things J. Wei Yang Bryan Lim, Zehui Xiong, Chunyan Miao, Dusit Niyato, Qiang Yang, Cyril Leung, H. Vincent Poor
2020	J	`jnl`	Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning. CoRR Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao, Qiang Yang
2020	—	`conf`	Interpreting and Evaluating Black Box Models in a Customizable Way. IEEE BigData Lixin Fan, Chang Liu, Yuhao Zhou, Tianyu Zhang, Qiang Yang
2020	J	`jnl`	Introduction to the Special Issue on Federated Machine Learning. IEEE Intell. Syst. Yang Liu, Han Yu, Qiang Yang
2020	—	`conf`	Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages. EMNLP (1) Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang
2020	J	`jnl`	Mechanism Design for Multi-Party Machine Learning. CoRR Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
2020	J	`jnl`	Message From the Outgoing Editor-in-Chief. IEEE Trans. Big Data Qiang Yang
2020	A*	`conf`	Network On Network for Tabular Data Classification in Real-world Applications. SIGIR Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2020	J	`jnl`	Network On Network for Tabular Data Classification in Real-world Applications. CoRR Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2020	—	`conf`	PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation. EMNLP (Findings) Guangneng Hu, Qiang Yang
2020	J	`jnl`	PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation. CoRR Guangneng Hu, Qiang Yang
2020	J	`jnl`	Privacy Threats Against Federated Matrix Factorization. CoRR Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang
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	—	`ch.`	Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. Federated Learning Xiawei Guo, Quanming Yao, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2020	J	`jnl`	Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection. CoRR Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang
2020	A	`conf`	RPN: A Residual Pooling Network for Efficient Federated Learning. ECAI Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang
2020	J	`jnl`	RPN: A Residual Pooling Network for Efficient Federated Learning. CoRR Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang
2020	J	`jnl`	Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. CoRR Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang
2020	—	`ch.`	Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. Federated Learning Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang
2020	J	`jnl`	Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness. CoRR Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang
2020	J	`jnl`	Social Explorative Attention based Recommendation for Content Distribution Platforms. CoRR Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
2020	—	`ch.`	Threats to Federated Learning. Federated Learning Lingjuan Lyu, Han Yu, Jun Zhao, Qiang Yang
2020	J	`jnl`	Threats to Federated Learning: A Survey. CoRR Lingjuan Lyu, Han Yu, Qiang Yang
2020	J	`jnl`	Transfer Learning with Dynamic Distribution Adaptation. ACM Trans. Intell. Syst. Technol. Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang
2020	A*	`conf`	Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. KDD Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang
2020	J	`jnl`	Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. CoRR Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang
2019	J	`jnl`	A Communication Efficient Vertical Federated Learning Framework. CoRR Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang
2019	J	`jnl`	A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression. CoRR Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang
2019	J	`jnl`	Advances and Open Problems in Federated Learning. CoRR Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2019	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I PAKDD (1) Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
2019	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II PAKDD (2) Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
2019	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III PAKDD (3) Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
2019	A*	`conf`	AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. KDD Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2019	J	`jnl`	AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. CoRR Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Qiang Yang, Wenyuan Dai
2019	J	`jnl`	AutoML @ NeurIPS 2018 challenge: Design and Results. CoRR Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2019	A*	`conf`	Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. KDD Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
2019	J	`jnl`	Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. CoRR Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
2019	—	`conf`	Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech. EMNLP/IJCNLP (3) Yuanfeng Song, Di Jiang, Weiwei Zhao, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang
2019	A*	`conf`	Cross-City Transfer Learning for Deep Spatio-Temporal Prediction. IJCAI Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang
2019	A	`conf`	Easy Transfer Learning By Exploiting Intra-Domain Structures. ICME Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang
2019	J	`jnl`	Easy Transfer Learning By Exploiting Intra-domain Structures. CoRR Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang
2019	A*	`conf`	Efficient and Effective Express via Contextual Cooperative Reinforcement Learning. KDD Yexin Li, Yu Zheng, Qiang Yang
2019	A*	`conf`	Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. AAAI Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang
2019	A*	`conf`	Fair and Explainable Dynamic Engagement of Crowd Workers. IJCAI Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng
2019	—	`book`	Federated Learning Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu
2019	J	`jnl`	Federated Learning in Mobile Edge Networks: A Comprehensive Survey. CoRR Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao
2019	J	`jnl`	Federated Machine Learning: Concept and Applications. CoRR Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong
2019	J	`jnl`	Federated Machine Learning: Concept and Applications. ACM Trans. Intell. Syst. Technol. Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong
2019	—	`conf`	Federated Recommendation Systems. IEEE BigData Qiang Yang
2019	J	`jnl`	Federated Reinforcement Learning. CoRR Hankz Hankui Zhuo, Wenfeng Feng, Qian Xu, Qiang Yang, Yufeng Lin
2019	A	`conf`	Federated Topic Modeling. CIKM Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang
2019	J	`jnl`	Federated Transfer Reinforcement Learning for Autonomous Driving. CoRR Xinle Liang, Yang Liu, Tianjian Chen, Ming Liu, Qiang Yang
2019	J	`jnl`	HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography. CoRR Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang
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	J	`jnl`	L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition. CoRR Yuanfeng Song, Di Jiang, Xuefang Zhao, Qian Xu, Raymond Chi-Wing Wong, Lixin Fan, Qiang Yang
2019	A*	`conf`	Learning to Transfer Examples for Partial Domain Adaptation. CVPR Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
2019	J	`jnl`	Learning to Transfer Examples for Partial Domain Adaptation. CoRR Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
2019	J	`jnl`	Millionaire: a hint-guided approach for crowdsourcing. Mach. Learn. Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama
2019	A*	`conf`	Multi-Agent Visualization for Explaining Federated Learning. IJCAI Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang
2019	A*	`conf`	Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. AAAI Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai
2019	J	`jnl`	Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting. CoRR Xu Geng, Xiyu Wu, Lingyu Zhang, Qiang Yang, Yan Liu, Jieping Ye
2019	—	`conf`	Parameter Transfer Unit for Deep Neural Networks. PAKDD (2) Yinghua Zhang, Yu Zhang, Qiang Yang
2019	A*	`conf`	Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. IJCAI Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2019	—	`conf`	Privacy-preserving Heterogeneous Federated Transfer Learning. IEEE BigData Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang
2019	A*	`conf`	Rating Worker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective. WWW George Trimponias, Xiaojuan Ma, Qiang Yang
2019	J	`jnl`	Real-World Image Datasets for Federated Learning. CoRR Jiahuan Luo, Xueyang Wu, Yun Luo, Anbu Huang, Yunfeng Huang, Yang Liu, Qiang Yang
2019	J	`jnl`	Ridesharing car detection by transfer learning. Artif. Intell. Leye Wang, Xu Geng, Xiaojuan Ma, Daqing Zhang, Qiang Yang
2019	J	`jnl`	Secure Federated Matrix Factorization. CoRR Di Chai, Leye Wang, Kai Chen, Qiang Yang
2019	J	`jnl`	SecureBoost: A Lossless Federated Learning Framework. CoRR Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang
2019	A*	`conf`	Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. CVPR Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang
2019	A	`conf`	Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes. AAMAS Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang
2019	A*	`conf`	Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. AAAI Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu
2019	J	`jnl`	State of the Journal. IEEE Trans. Big Data Qiang Yang
2019	A	`conf`	Topic-Aware Dialogue Speech Recognition with Transfer Learning. INTERSPEECH Yuanfeng Song, Di Jiang, Xueyang Wu, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang
2019	J	`jnl`	Transfer Hierarchical Attention Network for Generative Dialog System. Int. J. Autom. Comput. Xiang Zhang, Qiang Yang
2019	J	`jnl`	Transfer Learning with Dynamic Distribution Adaptation. CoRR Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang
2019	A*	`conf`	Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. WWW Guangneng Hu, Yu Zhang, Qiang Yang
2019	J	`jnl`	Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. CoRR Guangneng Hu, Yu Zhang, Qiang Yang
2019	J	`jnl`	Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng, Zhong Ming
2019	—	`conf`	Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. EMNLP/IJCNLP (1) Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang
2019	J	`jnl`	Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. CoRR Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang
2018	J	`jnl`	Bike Flow Prediction with Multi-Graph Convolutional Networks. CoRR Di Chai, Leye Wang, Qiang Yang
2018	—	`conf`	Bike flow prediction with multi-graph convolutional networks. SIGSPATIAL/GIS Di Chai, Leye Wang, Qiang Yang
2018	A*	`conf`	Building Ethics into Artificial Intelligence. IJCAI Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang
2018	J	`jnl`	Building Ethics into Artificial Intelligence. CoRR Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang
2018	A	`conf`	CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. CIKM Guangneng Hu, Yu Zhang, Qiang Yang
2018	—	`conf`	CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. UMCit@KDD Guangneng Hu, Yu Zhang, Qiang Yang
2018	J	`jnl`	CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. CoRR Guangneng Hu, Yu Zhang, Qiang Yang
2018	J	`jnl`	Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment. CoRR Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung
2018	J	`jnl`	Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning. CoRR Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang
2018	A*	`conf`	Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach. KDD Yexin Li, Yu Zheng, Qiang Yang
2018	J	`jnl`	Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. CoRR Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang
2018	A*	`conf`	Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI Zheng Li, Ying Wei, Yu Zhang, Qiang Yang
2018	J	`jnl`	LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text. CoRR Guangneng Hu, Yu Zhang, Qiang Yang
2018	A*	`conf`	Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. WWW Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang
2018	A*	`conf`	Learning to Multitask. NeurIPS Yu Zhang, Ying Wei, Qiang Yang
2018	J	`jnl`	Learning to Multitask. CoRR Yu Zhang, Ying Wei, Qiang Yang
2018	J	`jnl`	Millionaire: A Hint-guided Approach for Crowdsourcing. CoRR Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama
2018	—	`conf`	Opportunistic Work-Rest Scheduling for Productive Aging. HCI (14) Han Yu, Chunyan Miao, Lizhen Cui, Yiqiang Chen, Simon Fauvel, Qiang Yang
2018	J	`jnl`	Parameter Transfer Unit for Deep Neural Networks. CoRR Yinghua Zhang, Yu Zhang, Qiang Yang
2018	A*	`conf`	Personalizing a Dialogue System With Transfer Reinforcement Learning. AAAI Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang
2018	J	`jnl`	Privacy-preserving Transfer Learning for Knowledge Sharing. CoRR Xiawei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2018	J	`jnl`	Secure Federated Transfer Learning. CoRR Yang Liu, Tianjian Chen, Qiang Yang
2018	J	`jnl`	Smart City Development With Urban Transfer Learning. Computer Leye Wang, Bin Guo, Qiang Yang
2018	J	`jnl`	Smart City Development with Urban Transfer Learning. CoRR Leye Wang, Bin Guo, Qiang Yang
2018	A*	`conf`	SmartHS: An AI Platform for Improving Government Service Provision. AAAI Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang
2018	A*	`conf`	Societal Impact of Data Science and Artificial Intelligence. KDD Foster J. Provost, James Hodson, Jeannette M. Wing, Qiang Yang, Jennifer Neville
2018	J	`jnl`	State of the Journal Editorial. IEEE Trans. Big Data Qiang Yang
2018	J	`jnl`	Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yufeng Li, Wei-Wei Tu, Qiang Yang, Yang Yu
2018	A*	`conf`	Transfer Learning via Learning to Transfer. ICML Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang
2018	A*	`conf`	Transferable Contextual Bandit for Cross-Domain Recommendation. AAAI Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang
2017	J	`jnl`	A Survey on Multi-Task Learning. CoRR Yu Zhang, Qiang Yang
2017	J	`jnl`	A unified framework of active transfer learning for cross-system recommendation. Artif. Intell. Lili Zhao, Sinno Jialin Pan, Qiang Yang
2017	J	`jnl`	Big Data. IEEE Intell. Syst. Weike Pan, Qiang Yang, Charu C. Aggarwal, Christoph Koch
2017	A*	`conf`	Deep Neural Networks for High Dimension, Low Sample Size Data. IJCAI Bo Liu, Ying Wei, Yu Zhang, Qiang Yang
2017	A*	`conf`	Distant Domain Transfer Learning. AAAI Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang
2017	A*	`conf`	End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. IJCAI Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang
2017	J	`jnl`	Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems. CoRR Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung
2017	J	`jnl`	Flexible End-to-End Dialogue System for Knowledge Grounded Conversation. CoRR Wenya Zhu, Kaixiang Mo, Yu Zhang, Zhangbin Zhu, Xuezheng Peng, Qiang Yang
2017	J	`jnl`	Integrating User and Agent Models: A Deep Task-Oriented Dialogue System. CoRR Weiyan Wang, Yuxiang Wu, Yu Zhang, Zhongqi Lu, Kaixiang Mo, Qiang Yang
2017	A*	`conf`	Learning Sparse Task Relations in Multi-Task Learning. AAAI Yu Zhang, Qiang Yang
2017	J	`jnl`	Learning to Transfer. CoRR Ying Wei, Yu Zhang, Qiang Yang
2017	J	`jnl`	Ridesourcing Car Detection by Transfer Learning. CoRR Leye Wang, Xu Geng, Jintao Ke, Chen Peng, Xiaojuan Ma, Daqing Zhang, Qiang Yang
2017	J	`jnl`	State of the Journal Editorial. IEEE Trans. Big Data Qiang Yang
2017	A*	`conf`	The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms. KDD Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv
2017	J	`jnl`	Transfer Learning for Behavior Ranking. ACM Trans. Intell. Syst. Technol. Weike Pan, Qiang Yang, Yuchao Duan, Ben Tan, Zhong Ming
2017	—	`conf`	Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. RecSysKTL Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming
2017	A*	`conf`	Transitive Hashing Network for Heterogeneous Multimedia Retrieval. AAAI Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang
2017	A*	`conf`	Understanding How Feature Structure Transfers in Transfer Learning. IJCAI Tongliang Liu, Qiang Yang, Dacheng Tao
2017	A	`conf`	When Deep Learning Meets Transfer Learning. CIKM Qiang Yang
2016	A*	`conf`	City-Scale Map Creation and Updating using GPS Collections. KDD Chen Chen, Cewu Lu, Qixing Huang, Qiang Yang, Dimitrios Gunopulos, Leonidas J. Guibas
2016	A*	`conf`	Collaborative Evolution for User Profiling in Recommender Systems. IJCAI Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang
2016	A	`conf`	Correlated Tag Learning in Topic Model. UAI Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang
2016	J	`jnl`	Cross-Domain Data Fusion. Computer Qiang Yang
2016	A*	`conf`	Deep Visual-Semantic Hashing for Cross-Modal Retrieval. KDD Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
2016	J	`jnl`	Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search. ACM Trans. Knowl. Discov. Data Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang
2016	J	`jnl`	Individual Judgments Versus Consensus: Estimating Query-URL Relevance. ACM Trans. Web Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida
2016	A*	`conf`	Infusing Human Factors into Algorithmic Crowdsourcing. AAAI Han Yu, Chunyan Miao, Zhiqi Shen, Jun Lin, Cyril Leung, Qiang Yang
2016	A*	`conf`	Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. AAAI Ying Wei, Yin Zhu, Cane Wing-Ki Leung, Yangqiu Song, Qiang Yang
2016	A*	`conf`	Matrix Factorization+ for Movie Recommendation. IJCAI Lili Zhao, Zhongqi Lu, Sinno Jialin Pan, Qiang Yang
2016	A*	`conf`	Multi-Domain Active Learning for Recommendation. AAAI Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang
2016	J	`jnl`	Partially Observable Markov Decision Process for Recommender Systems. CoRR Zhongqi Lu, Qiang Yang
2016	J	`jnl`	Personalizing a Dialogue System with Transfer Learning. CoRR Kaixiang Mo, Shuangyin Li, Yu Zhang, Jiajun Li, Qiang Yang
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	J	`jnl`	Telco User Activity Level Prediction with Massive Mobile Broadband Data. ACM Trans. Intell. Syst. Technol. Chen Luo, Jia Zeng, Mingxuan Yuan, Wenyuan Dai, Qiang Yang
2016	J	`jnl`	Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization. IEEE Trans. Knowl. Data Eng. Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang
2016	A*	`conf`	The Lifecycle and Cascade of WeChat Social Messaging Groups. WWW Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft
2016	A*	`conf`	Transfer Knowledge between Cities. KDD Ying Wei, Yu Zheng, Qiang Yang
2016	J	`jnl`	Transfer Learning for Semisupervised Collaborative Recommendation. ACM Trans. Interact. Intell. Syst. Weike Pan, Qiang Yang, Yuchao Duan, Zhong Ming
2016	J	`jnl`	Transitive Hashing Network for Heterogeneous Multimedia Retrieval. CoRR Zhangjie Cao, Mingsheng Long, Qiang Yang
2015	A*	`conf`	Content-Based Collaborative Filtering for News Topic Recommendation. AAAI Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
2015	J	`jnl`	Differential Privacy in Telco Big Data Platform. Proc. VLDB Endow. Xueyang Hu, Mingxuan Yuan, Jianguo Yao, Yu Deng, Lei Chen, Qiang Yang, Haibing Guan, Jia Zeng
2015	A*	`conf`	Efficient Task Sub-Delegation for Crowdsourcing. AAAI Han Yu, Chunyan Miao, Zhiqi Shen, Cyril Leung, Yiqiang Chen, Qiang Yang
2015	J	`jnl`	Introduction to the IEEE Transactions on Big Data. IEEE Trans. Big Data Qiang Yang
2015	—	`conf`	Mining target users for online marketing based on App Store data. IEEE BigData Xiuqiang He, Wenyuan Dai, Guoxiang Cao, Ruiming Tang, Mingxuan Yuan, Qiang Yang
2015	J	`jnl`	Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification. IEEE Trans. Image Process. Shu Kong, Zhuolin Jiang, Qiang Yang
2015	J	`jnl`	PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies. Bioinform. Guangyuan Yang, Wei Jiang, Qiang Yang, Weichuan Yu
2015	—	`conf`	Preface. BigMine Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
2015	A*	`ed.`	Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 IJCAI Qiang Yang, Michael J. Wooldridge
2015	—	`conf`	Question Classification by Approximating Semantics. WWW (Companion Volume) Guangyu Feng, Kun Xiong, Yang Tang, Anqi Cui, Jing Bai, Hang Li, Qiang Yang, Ming Li
2015	A*	`conf`	RAIN: Social Role-Aware Information Diffusion. AAAI Yang Yang, Jie Tang, Cane Wing-Ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang
2015	A	`conf`	Sampling Big Trajectory Data. CIKM Yanhua Li, Chi-Yin Chow, Ke Deng, Mingxuan Yuan, Jia Zeng, Jia-Dong Zhang, Qiang Yang, Zhi-Li Zhang
2015	A*	`conf`	Scalable Parallel EM Algorithms for Latent Dirichlet Allocation in Multi-Core Systems. WWW Xiaosheng Liu, Jia Zeng, Xi Yang, Jianfeng Yan, Qiang Yang
2015	A*	`conf`	Spectral Label Refinement for Noisy and Missing Text Labels. AAAI Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang
2015	—	`conf`	Telco Churn Prediction with Big Data. SIGMOD Conference Yiqing Huang, Fangzhou Zhu, Mingxuan Yuan, Ke Deng, Yanhua Li, Bing Ni, Wenyuan Dai, Qiang Yang, Jia Zeng
2015	J	`jnl`	The Lifecycle and Cascade of Social Messaging Groups. CoRR Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft
2015	A*	`conf`	Transitive Transfer Learning. KDD Ben Tan, Yangqiu Song, Erheng Zhong, Qiang Yang
2015	A*	`conf`	User Modeling in Telecommunications and Internet Industry. KDD Qiang Yang
2014	J	`jnl`	Action-model acquisition for planning via transfer learning. Artif. Intell. Hankz Hankui Zhuo, Qiang Yang
2014	A	`conf`	Adaptive User Distance Modeling in Social Media. SDM Erheng Zhong, Wei Fan, Qiang Yang
2014	J	`jnl`	Bird Flu Outbreak Prediction via Satellite Tracking. IEEE Intell. Syst. Yuanchun Zhou, Mingjie Tang, Weike Pan, Jinyan Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Li, Qiang Yang, Baoping Yan
2014	J	`jnl`	Collaborative Receptive Field Learning. CoRR Shu Kong, Zhuolin Jiang, Qiang Yang
2014	A*	`conf`	Crowdsourced time-sync video tagging using temporal and personalized topic modeling. KDD Bin Wu, Erheng Zhong, Ben Tan, Andrew Horner, Qiang Yang
2014	J	`jnl`	Friendship Prediction in Composite Social Networks. CoRR Erheng Zhong, Evan Wei Xiang, Wei Fan, Nathan Nan Liu, Qiang Yang
2014	J	`jnl`	Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification. CoRR Shu Kong, Zhuolin Jiang, Qiang Yang
2014	J	`jnl`	Learning hierarchical task network domains from partially observed plan traces. Artif. Intell. Hankz Hankui Zhuo, Héctor Muñoz-Avila, Qiang Yang
2014	A	`conf`	Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning. SDM Jingrui He, Yan Liu, Qiang Yang
2014	A	`conf`	Mixed-Transfer: Transfer Learning over Mixed Graphs. SDM Ben Tan, Erheng Zhong, Michael K. Ng, Qiang Yang
2014	J	`jnl`	Multi-transfer: Transfer learning with multiple views and multiple sources. Stat. Anal. Data Min. Ben Tan, Erheng Zhong, Evan Wei Xiang, Qiang Yang
2014	A*	`conf`	Music Emotion Recognition by Multi-label Multi-layer Multi-instance Multi-view Learning. ACM Multimedia Bin Wu, Erheng Zhong, Andrew Horner, Qiang Yang
2014	J	`jnl`	OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. Proc. VLDB Endow. Mingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang
2014	—	`conf`	Preface. BigMine Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu
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	A*	`conf`	Scalable heterogeneous translated hashing. KDD Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang
2014	A*	`conf`	Source Free Transfer Learning for Text Classification. AAAI Zhongqi Lu, Yin Zhu, Sinno Jialin Pan, Evan Wei Xiang, Yujing Wang, Qiang Yang
2014	A*	`conf`	Temporal skeletonization on sequential data: patterns, categorization, and visualization. KDD Chuanren Liu, Kai Zhang, Hui Xiong, Geoff Jiang, Qiang Yang
2014	J	`jnl`	Towards Topic Modeling for Big Data. CoRR Yi Wang, Xuemin Zhao, Zhenlong Sun, Hao Yan, Lifeng Wang, Zhihui Jin, Liubin Wang, Yang Gao, Jia Zeng, Qiang Yang, Ching Law
2014	J	`jnl`	Transfer Learning with Graph Co-Regularization. IEEE Trans. Knowl. Data Eng. Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang
2014	J	`jnl`	User behavior learning and transfer in composite social networks. ACM Trans. Knowl. Discov. Data Erheng Zhong, Wei Fan, Qiang Yang
2013	—	`ed.`	2013 IEEE International Conference on Big Data (IEEE BigData 2013), 6-9 October 2013, Santa Clara, CA, USA IEEE BigData Xiaohua Hu, Tsau Young Lin, Vijay V. Raghavan, Benjamin W. Wah, Ricardo Baeza-Yates, Geoffrey C. Fox, Cyrus Shahabi, Matthew Smith, Qiang Yang, Rayid Ghani, Wei Fan, Ronny Lempel, Raghunath Nambiar
2013	A*	`conf`	Active Transfer Learning for Cross-System Recommendation. AAAI Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang
2013	J	`jnl`	Artificial Intelligence on Mobile Devices: An Introduction to the Special Issue. AI Mag. Qiang Yang, Feng Zhao
2013	A	`conf`	Big data, lifelong machine learning and transfer learning. WSDM Qiang Yang
2013	A*	`conf`	Collaborative boosting for activity classification in microblogs. KDD Yangqiu Song, Zhengdong Lu, Cane Wing-Ki Leung, Qiang Yang
2013	—	`conf`	Contextual rule-based feature engineering for author-paper identification. KDD Cup Erheng Zhong, Lianghao Li, Naiyan Wang, Ben Tan, Yin Zhu, Lili Zhao, Qiang Yang
2013	—	`conf`	Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels. ICML (3) Kai Zhang, Vincent Wenchen Zheng, Qiaojun Wang, James Tin-Yau Kwok, Qiang Yang, Ivan Marsic
2013	A*	`conf`	Cross-task crowdsourcing. KDD Kaixiang Mo, Erheng Zhong, Qiang Yang
2013	J	`jnl`	Feature engineering for semantic place prediction. Pervasive Mob. Comput. Yin Zhu, Erheng Zhong, Zhongqi Lu, Qiang Yang
2013	—	`conf`	General Functional Matrix Factorization Using Gradient Boosting. ICML (1) Tianqi Chen, Hang Li, Qiang Yang, Yong Yu
2013	J	`jnl`	HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies. IEEE ACM Trans. Comput. Biol. Bioinform. Xiang Wan, Can Yang, Qiang Yang, Hongyu Zhao, Weichuan Yu
2013	—	`conf`	Lifelong Machine Learning Systems: Beyond Learning Algorithms. AAAI Spring Symposium: Lifelong Machine Learning Daniel L. Silver, Qiang Yang, Lianghao Li
2013	A*	`conf`	Modeling the dynamics of composite social networks. KDD Erheng Zhong, Wei Fan, Yin Zhu, Qiang Yang
2013	A	`conf`	Multi-Transfer: Transfer Learning with Multiple Views and Multiple Sources. SDM Ben Tan, Evan Wei Xiang, Qiang Yang, Erheng Zhong
2013	A	`conf`	Predicting user activity level in social networks. CIKM Yin Zhu, Erheng Zhong, Sinno Jialin Pan, Xiao Wang, Minzhe Zhou, Qiang Yang
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	A	`conf`	SMART: Semi-Supervised Music Emotion Recognition with Social Tagging. SDM Andrew Horner, Derek Hao Hu, Bin Wu, Qiang Yang, Erheng Zhong
2013	A	`conf`	Selective Transfer Learning for Cross Domain Recommendation. SDM Zhongqi Lu, Weike Pan, Evan Wei Xiang, Qiang Yang, Lili Zhao, Erheng Zhong
2013	A	`ed.`	Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013 RecSys Qiang Yang, Irwin King, Qing Li, Pearl Pu, George Karypis
2013	J	`jnl`	Transfer learning in heterogeneous collaborative filtering domains. Artif. Intell. Weike Pan, Qiang Yang
2013	J	`jnl`	User demographics prediction based on mobile data. Pervasive Mob. Comput. Erheng Zhong, Ben Tan, Kaixiang Mo, Qiang Yang
2012	B	`conf`	A Demonstration of Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach. MDM Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian
2012	—	`conf`	A Machine Learning Approach for Instance Matching Based on Similarity Metrics. ISWC (1) Shu Rong, Xing Niu, Evan Wei Xiang, Haofen Wang, Qiang Yang, Yong Yu
2012	A*	`conf`	A Mouse-Trajectory Based Model for Predicting Query-URL Relevance. AAAI Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang
2012	A*	`conf`	A habit mining approach for discovering similar mobile users. WWW Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian
2012	A	`conf`	A noise-aware click model for web search. WSDM Weizhu Chen, Dong Wang, Yuchen Zhang, Zheng Chen, Adish Singla, Qiang Yang
2012	—	`conf`	Action-Model Based Multi-agent Plan Recognition. NIPS Hankz Hankui Zhuo, Qiang Yang, Subbarao Kambhampati
2012	A	`conf`	Beyond ten blue links: enabling user click modeling in federated web search. WSDM Danqi Chen, Weizhu Chen, Haixun Wang, Zheng Chen, Qiang Yang
2012	A	`conf`	Contextual Collaborative Filtering via Hierarchical Matrix Factorization. SDM Erheng Zhong, Wei Fan, Qiang Yang
2012	—	`book`	Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering Crafting Your Research Future Charles X. Ling, Qiang Yang
2012	—	`conf`	Cross-Domain Co-Extraction of Sentiment and Topic Lexicons. ACL (1) Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, Xiaoyan Zhu
2012	A*	`conf`	Discovering Spammers in Social Networks. AAAI Yin Zhu, Xiao Wang, Erheng Zhong, Nathan Nan Liu, He Li, Qiang Yang
2012	—	`conf`	Discriminative Factor Alignment across Heterogeneous Feature Space. ECML/PKDD (2) Fangwei Hu, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu
2012	J	`jnl`	Inferring Taxi Status Using GPS Trajectories CoRR Yin Zhu, Yu Zheng, Liuhang Zhang, Darshan Santani, Xing Xie, Qiang Yang
2012	J	`jnl`	Introduction to the Special Section on the 2nd Asia Conference on Machine Learning (ACML 2010). ACM Trans. Intell. Syst. Technol. Masashi Sugiyama, Qiang Yang
2012	B	`conf`	Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach. MDM Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian
2012	A	`conf`	Personalized click model through collaborative filtering. WSDM Si Shen, Botao Amber Hu, Weizhu Chen, Qiang Yang
2012	J	`jnl`	Preface. J. Comput. Sci. Technol. Qiang Yang, Jie Tang, Lei Zhang, Bin Cao
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	—	`conf`	Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models. KDD Cup Zhao Zheng, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu
2012	J	`jnl`	SMS Spam Detection Using Noncontent Features. IEEE Intell. Syst. Qian Xu, Evan Wei Xiang, Qiang Yang, Jiachun Du, Jieping Zhong
2012	J	`jnl`	Selective Transfer Learning for Cross Domain Recommendation CoRR Zhongqi Lu, Erheng Zhong, Lili Zhao, Evan Wei Xiang, Weike Pan, Qiang Yang
2012	A	`conf`	Social contextual recommendation. CIKM Meng Jiang, Peng Cui, Rui Liu, Qiang Yang, Fei Wang, Wenwu Zhu, Shiqiang Yang
2012	A	`conf`	Social recommendation across multiple relational domains. CIKM Meng Jiang, Peng Cui, Fei Wang, Qiang Yang, Wenwu Zhu, Shiqiang Yang
2012	Misc	`conf`	Surrounding context and episode awareness using dynamic Bluetooth data. UbiComp Yiqiang Chen, Zhenyu Chen, Junfa Liu, Derek Hao Hu, Qiang Yang
2012	A*	`ed.`	The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 KDD Qiang Yang, Deepak Agarwal, Jian Pei
2012	J	`jnl`	Towards mobile intelligence: Learning from GPS history data for collaborative recommendation. Artif. Intell. Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang
2012	J	`jnl`	Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization. IEEE Trans. Pattern Anal. Mach. Intell. Jeffrey Junfeng Pan, Sinno Jialin Pan, Jie Yin, Lionel M. Ni, Qiang Yang
2012	—	`conf`	Transfer Learning and Applications. IIP Qiang Yang
2012	—	`ch.`	Transfer Learning for Text Mining. Mining Text Data Weike Pan, Erheng Zhong, Qiang Yang
2012	A*	`conf`	Transfer Learning in Collaborative Filtering with Uncertain Ratings. AAAI Weike Pan, Evan Wei Xiang, Qiang Yang
2012	A*	`conf`	Transfer Learning with Graph Co-Regularization. AAAI Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang
2012	J	`jnl`	Where Is the User in Multimedia Retrieval? IEEE Multim. Marcel Worring, Paul Sajda, Simone Santini, David A. Shamma, Alan F. Smeaton, Qiang Yang
2011	J	`jnl`	A Survey of Transfer and Multitask Learning in Bioinformatics. J. Comput. Sci. Eng. Qian Xu, Qiang Yang
2011	A*	`conf`	A Whole Page Click Model to Better Interpret Search Engine Click Data. AAAI Weizhu Chen, Zhanglong Ji, Si Shen, Qiang Yang
2011	J	`jnl`	A conversation with the Chinese KDD leaders. SIGKDD Explor. Qiang Yang
2011	J	`jnl`	A hidden two-locus disease association pattern in genome-wide association studies. BMC Bioinform. Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu
2011	A*	`conf`	Active Dual Collaborative Filtering with Both Item and Attribute Feedback. AAAI Luheng He, Nathan Nan Liu, Qiang Yang
2011	—	`ch.`	Activity Recognition from Trajectory Data. Computing with Spatial Trajectories Yin Zhu, Vincent Wenchen Zheng, Qiang Yang
2011	J	`jnl`	Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009). Knowl. Inf. Syst. Jian Pei, João Gama, Qiang Yang, Ronghuai Huang, Xue Li
2011	A*	`conf`	Characterizing Inverse Time Dependency in Multi-class Learning. ICDM Danqi Chen, Weizhu Chen, Qiang Yang
2011	A*	`conf`	Characterizing search intent diversity into click models. WWW Botao Amber Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qiang Yang
2011	A*	`conf`	Cross-Domain Action-Model Acquisition for Planning via Web Search. ICAPS Hankz Hankui Zhuo, Qiang Yang, Rong Pan, Lei Li
2011	J	`jnl`	Cross-domain activity recognition via transfer learning. Pervasive Mob. Comput. Derek Hao Hu, Vincent Wenchen Zheng, Qiang Yang
2011	A*	`conf`	Distance Metric Learning under Covariate Shift. IJCAI Bin Cao, Xiaochuan Ni, Jian-Tao Sun, Gang Wang, Qiang Yang
2011	J	`jnl`	Domain Adaptation via Transfer Component Analysis. IEEE Trans. Neural Networks Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang
2011	A*	`conf`	Heterogeneous Transfer Learning for Image Classification. AAAI Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu, Qiang Yang
2011	—	`conf`	Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset. PerCom Workshops Bin Li, Daqing Zhang, Lin Sun, Chao Chen, Shijian Li, Guande Qi, Qiang Yang
2011	J	`jnl`	Identifying disease-associated SNP clusters via contiguous outlier detection. Bioinform. Can Yang, Xiaowei Zhou, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu
2011	A*	`conf`	Incorporating Reviewer and Product Information for Review Rating Prediction. IJCAI Fangtao Li, Nathan Nan Liu, Hongwei Jin, Kai Zhao, Qiang Yang, Xiaoyan Zhu
2011	J	`jnl`	Introduction to special issue on computational sustainability. ACM Trans. Intell. Syst. Technol. Carla P. Gomes, Qiang Yang
2011	J	`jnl`	Introduction to the special issue on intelligent systems for activity recognition. ACM Trans. Intell. Syst. Technol. Daqing Zhang, Matthai Philipose, Qiang Yang
2011	A	`conf`	Learning action models for multi-agent planning. AAMAS Hankz Hankui Zhuo, Hector Muñoz-Avila, Qiang Yang
2011	J	`jnl`	Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization. Data Min. Knowl. Discov. Bin Cao, Qiang Yang, Jian-Tao Sun, Zheng Chen
2011	J	`jnl`	Multi-platform gene-expression mining and marker gene analysis. Int. J. Data Min. Bioinform. Qian Xu, Hong Xue, Qiang Yang
2011	J	`jnl`	Multitask Learning for Protein Subcellular Location Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Qian Xu, Sinno Jialin Pan, Hannah Hong Xue, Qiang Yang
2011	—	`conf`	Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction. ISBRA Yan Fu, Rong Pan, Qiang Yang, Wen Gao
2011	A*	`conf`	Source-Selection-Free Transfer Learning. IJCAI Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su, Qiang Yang
2011	J	`jnl`	Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. IEEE Trans. Neural Networks Hui Xue, Songcan Chen, Qiang Yang
2011	J	`jnl`	The choice of null distributions for detecting gene-gene interactions in genome-wide association studies. BMC Bioinform. Can Yang, Xiang Wan, Zengyou He, Qiang Yang, Hong Xue, Weichuan Yu
2011	J	`jnl`	Trace-Oriented Feature Analysis for Large-Scale Text Data Dimension Reduction. IEEE Trans. Knowl. Data Eng. Jun Yan, Ning Liu, Shuicheng Yan, Qiang Yang, Weiguo Fan, Wei Wei, Zheng Chen
2011	J	`jnl`	Transfer Learning by Reusing Structured Knowledge. AI Mag. Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz Hankui Zhuo
2011	A*	`conf`	Transfer Learning by Structural Analogy. AAAI Hua-Yan Wang, Qiang Yang
2011	A*	`conf`	Transfer Learning for Activity Recognition via Sensor Mapping. IJCAI Derek Hao Hu, Qiang Yang
2011	A*	`conf`	Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks. IJCAI Weike Pan, Nathan Nan Liu, Evan Wei Xiang, Qiang Yang
2011	A	`conf`	Transferring topical knowledge from auxiliary long texts for short text clustering. CIKM Ou Jin, Nathan Nan Liu, Kai Zhao, Yong Yu, Qiang Yang
2011	A*	`conf`	User-Dependent Aspect Model for Collaborative Activity Recognition. IJCAI Vincent Wenchen Zheng, Qiang Yang
2011	A*	`conf`	User-click modeling for understanding and predicting search-behavior. KDD Yuchen Zhang, Weizhu Chen, Dong Wang, Qiang Yang
2011	A	`conf`	Wisdom of the better few: cold start recommendation via representative based rating elicitation. RecSys Nathan Nan Liu, Xiangrui Meng, Chao Liu, Qiang Yang
2010	J	`jnl`	A Survey on Transfer Learning. IEEE Trans. Knowl. Data Eng. Sinno Jialin Pan, Qiang Yang
2010	J	`jnl`	Acquiring knowledge from inconsistent data sources through weighting. Data Knowl. Eng. Shichao Zhang, Qingfeng Chen, Qiang Yang
2010	A*	`conf`	Adaptive Transfer Learning. AAAI Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang
2010	A	`conf`	An effective approach for mining mobile user habits. CIKM Huanhuan Cao, Tengfei Bao, Qiang Yang, Enhong Chen, Jilei Tian
2010	J	`jnl`	BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies CoRR Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiaodan Fan, Nelson L. S. Tang, Weichuan Yu
2010	J	`jnl`	Bridging Domains Using World Wide Knowledge for Transfer Learning. IEEE Trans. Knowl. Data Eng. Evan Wei Xiang, Bin Cao, Derek Hao Hu, Qiang Yang
2010	A*	`conf`	Clickthrough Log Analysis by Collaborative Ranking. AAAI Bin Cao, Dou Shen, Kuansan Wang, Qiang Yang
2010	A*	`conf`	Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach. AAAI Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie, Qiang Yang
2010	A*	`conf`	Collaborative location and activity recommendations with GPS history data. WWW Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang
2010	—	`conf`	Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning. ECML/PKDD (3) Erheng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren
2010	A*	`conf`	Cross-domain sentiment classification via spectral feature alignment. WWW Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qiang Yang, Zheng Chen
2010	J	`jnl`	Detecting two-locus associations allowing for interactions in genome-wide association studies. Bioinform. Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu
2010	A	`conf`	Generalized and Heuristic-Free Feature Construction for Improved Accuracy. SDM Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang
2010	J	`jnl`	Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso. BMC Bioinform. Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu
2010	A*	`conf`	Indoor localization in multi-floor environments with reduced effort. PerCom Hua-Yan Wang, Vincent Wenchen Zheng, Junhui Zhao, Qiang Yang
2010	J	`jnl`	Introduction to ACM TIST. ACM Trans. Intell. Syst. Technol. Qiang Yang
2010	J	`jnl`	Introduction to Mobile Information Retrieval. IEEE Intell. Syst. Flora S. Tsai, Minoru Etoh, Xing Xie, Wang-Chien Lee, Qiang Yang
2010	J	`jnl`	Learning complex action models with quantifiers and logical implications. Artif. Intell. Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu, Lei Li
2010	J	`jnl`	Learning with Positive and Unlabeled Examples Using Topic-Sensitive PLSA. IEEE Trans. Knowl. Data Eng. Ke Zhou, Gui-Rong Xue, Qiang Yang, Yong Yu
2010	J	`jnl`	Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study. BMC Bioinform. Qi Liu, Qian Xu, Vincent Wenchen Zheng, Hong Xue, Zhi-Wei Cao, Qiang Yang
2010	A	`conf`	Online evolutionary collaborative filtering. RecSys Nathan Nan Liu, Min Zhao, Evan Wei Xiang, Qiang Yang
2010	C	`conf`	Predicting chemical activities from structures by attributed molecular graph classification. CIBCB Qian Xu, Derek Hao Hu, Hong Xue, Qiang Yang
2010	A	`conf`	Predictive Modeling with Heterogeneous Sources. SDM Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip S. Yu
2010	J	`jnl`	Predictive rule inference for epistatic interaction detection in genome-wide association studies. Bioinform. Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu
2010	C	`conf`	Preface. ACML Masashi Sugiyama, Qiang Yang
2010	A	`ed.`	Proceedings of the 15th International Conference on Intelligent User Interfaces, IUI 2010, Hong Kong, China, February 7-10, 2010 IUI Charles Rich, Qiang Yang, Marc Cavazza, Michelle X. Zhou
2010	A*	`ed.`	Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010 KDD Bharat Rao, Balaji Krishnapuram, Andrew Tomkins, Qiang Yang
2010	C	`ed.`	Proceedings of the 2nd Asian Conference on Machine Learning, ACML 2010, Tokyo, Japan, November 8-10, 2010 ACML Masashi Sugiyama, Qiang Yang
2010	—	`conf`	Protein-protein interaction prediction via Collective Matrix Factorization. BIBM Qian Xu, Evan Wei Xiang, Qiang Yang
2010	—	`conf`	Relational network-service clustering analysis with set evidences. AISec Li Pu, Boi Faltings, Qiang Yang, Derek Hao Hu
2010	—	`conf`	SimpleTrPPI: A simple method for transferring knowledge between interaction networks for PPI prediction. BIBM Workshops Qian Xu, Derek Hao Hu, Qiang Yang, Hong Xue
2010	J	`jnl`	Social Learning. IEEE Intell. Syst. Qiang Yang, Zhi-Hua Zhou, Wenji Mao, Wei Li, Nathan Nan Liu
2010	J	`jnl`	Three challenges in data mining. Frontiers Comput. Sci. China Qiang Yang
2010	A*	`conf`	Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains. ICML Bin Cao, Nathan Nan Liu, Qiang Yang
2010	A*	`conf`	Transfer Learning in Collaborative Filtering for Sparsity Reduction. AAAI Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Yang
2010	A	`conf`	Unifying explicit and implicit feedback for collaborative filtering. CIKM Nathan Nan Liu, Evan Wei Xiang, Min Zhao, Qiang Yang
2010	A*	`conf`	Visual Contextual Advertising: Bringing Textual Advertisements to Images. AAAI Yuqiang Chen, Ou Jin, Gui-Rong Xue, Jia Chen, Qiang Yang
2010	J	`jnl`	Vlogging: A survey of videoblogging technology on the web. ACM Comput. Surv. Wen Gao, Yonghong Tian, Tiejun Huang, Qiang Yang
2009	A*	`conf`	Abnormal Activity Recognition Based on HDP-HMM Models. IJCAI Derek Hao Hu, Xian-Xing Zhang, Jie Yin, Vincent Wenchen Zheng, Qiang Yang
2009	A*	`conf`	Activity Recognition: Linking Low-level Sensors to High-level Intelligence. IJCAI Qiang Yang
2009	C	`ed.`	Advanced Data Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009. Proceedings ADMA Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li
2009	A*	`conf`	Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction. IJCAI Bin Li, Qiang Yang, Xiangyang Xue
2009	C	`conf`	Constraint-Based Case-Based Planning Using Weighted MAX-SAT. ICCBR Hankui Zhuo, Qiang Yang, Lei Li
2009	C	`conf`	Context-Aware Online Commercial Intention Detection. ACML Derek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
2009	A*	`conf`	Context-aware query classification. SIGIR Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang
2009	Misc	`conf`	Cross-domain activity recognition. UbiComp Vincent Wenchen Zheng, Derek Hao Hu, Qiang Yang
2009	J	`jnl`	Discriminatively regularized least-squares classification. Pattern Recognit. Hui Xue, Songcan Chen, Qiang Yang
2009	A*	`conf`	Domain Adaptation via Transfer Component Analysis. IJCAI Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang
2009	J	`jnl`	Editorial: special issue on selected papers of PAKDD 2007. Knowl. Inf. Syst. Zhi-Hua Zhou, Hang Li, Qiang Yang
2009	A*	`conf`	EigenTransfer: a unified framework for transfer learning. ICML Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang, Yong Yu
2009	A	`conf`	Exploiting term relationship to boost text classification. CIKM Dou Shen, Jianmin Wu, Bin Cao, Jian-Tao Sun, Qiang Yang, Zheng Chen, Ying Li
2009	—	`conf`	HIPS: A Calibration-less Hybrid Indoor Positioning System Using Heterogeneous Sensors. PerCom Workshops Vincent Wenchen Zheng, Junhui Zhao, Yongcai Wang, Qiang Yang
2009	—	`conf`	Heterogeneous Transfer Learning for Image Clustering via the SocialWeb. ACL/IJCNLP Qiang Yang, Yuqiang Chen, Gui-Rong Xue, Wenyuan Dai, Yong Yu
2009	A*	`conf`	Identifying vertical search intention of query through social tagging propagation. WWW Ning Liu, Jun Yan, Weiguo Fan, Qiang Yang, Zheng Chen
2009	—	`conf`	Joint learning user's activities and profiles from GPS data. GIS-LBSN Vincent Wenchen Zheng, Yu Zheng, Qiang Yang
2009	—	`conf`	Knowledge Transfer among Heterogeneous Information Networks. ICDM Workshops Evan Wei Xiang, Nathan Nan Liu, Sinno Jialin Pan, Qiang Yang
2009	A*	`conf`	Learning HTN Method Preconditions and Action Models from Partial Observations. IJCAI Hankz Hankui Zhuo, Derek Hao Hu, Chad Hogg, Qiang Yang, Hector Muñoz-Avila
2009	—	`conf`	LoSeCo: Location-based Search Computing for Pervasive Device Augmentation. PerCom Workshops Yiqiang Chen, Zhuo Sun, Juan Qi, Derek Hao Hu, Qiang Yang
2009	J	`jnl`	MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study. BMC Bioinform. Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu
2009	—	`conf`	Message from the Workshop Co-Organizers. PerCom Workshops Yiqiang Chen, Qiang Yang, Moustafa A. Youssef
2009	A	`conf`	PQC: personalized query classification. CIKM Bin Cao, Jian-Tao Sun, Evan Wei Xiang, Derek Hao Hu, Qiang Yang, Zheng Chen
2009	A	`conf`	Probabilistic latent preference analysis for collaborative filtering. CIKM Nathan Nan Liu, Min Zhao, Qiang Yang
2009	—	`conf`	Relaxed Transfer of Different Classes via Spectral Partition. ECML/PKDD (2) Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren
2009	J	`jnl`	SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies. Bioinform. Can Yang, Zengyou He, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu
2009	J	`jnl`	Semantic Sensor Net: an extensible framework. Int. J. Ad Hoc Ubiquitous Comput. Lionel M. Ni, Yanmin Zhu, Jian Ma, Qiong Luo, Yunhao Liu, Shing-Chi Cheung, Qiang Yang, Minglu Li, Min-You Wu
2009	J	`jnl`	Semi-supervised protein subcellular localization. BMC Bioinform. Qian Xu, Derek Hao Hu, Hong Xue, Weichuan Yu, Qiang Yang
2009	A*	`conf`	Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields. IJCAI Jie Yin, Derek Hao Hu, Qiang Yang
2009	A*	`conf`	Synthesizing Novel Dimension Reduction Algorithms in Matrix Trace Oriented Optimization Framework. ICDM Jun Yan, Ning Liu, Shuicheng Yan, Qiang Yang, Zheng Chen
2009	B	`conf`	Transfer Learning Action Models by Measuring the Similarity of Different Domains. PAKDD Hankui Zhuo, Qiang Yang, Lei Li
2009	C	`conf`	Transfer Learning beyond Text Classification. ACML Qiang Yang
2009	A*	`conf`	Transfer learning for collaborative filtering via a rating-matrix generative model. ICML Bin Li, Qiang Yang, Xiangyang Xue
2009	J	`jnl`	User language model for collaborative personalized search. ACM Trans. Inf. Syst. Gui-Rong Xue, Jie Han, Yong Yu, Qiang Yang
2008	J	`jnl`	Activity recognition via user-trace segmentation. ACM Trans. Sens. Networks Jie Yin, Qiang Yang, Dou Shen, Ze-Nian Li
2008	A*	`conf`	Adaptive p-posterior mixture-model kernels for multiple instance learning. ICML Hua-Yan Wang, Qiang Yang, Hongbin Zha
2008	C	`conf`	An Introduction to Transfer Learning. ADMA Qiang Yang
2008	—	`conf`	An algorithm for analyzing personalized online commercial intention. AdKDD@KDD Derek Hao Hu, Qiang Yang, Ying Li
2008	A*	`conf`	CIGAR: Concurrent and Interleaving Goal and Activity Recognition. AAAI Derek Hao Hu, Qiang Yang
2008	A*	`conf`	Can chinese web pages be classified with english data source? WWW Xiao Ling, Gui-Rong Xue, Wenyuan Dai, Yun Jiang, Qiang Yang, Yong Yu
2008	A*	`conf`	Constraint Projections for Ensemble Learning. AAAI Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang
2008	A*	`conf`	Deep classification in large-scale text hierarchies. SIGIR Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu
2008	A	`conf`	Deep classifier: automatically categorizing search results into large-scale hierarchies. WSDM Dikan Xing, Gui-Rong Xue, Qiang Yang, Yong Yu
2008	A*	`conf`	Digital Wall: A Power-efficient Solution for Location-based Data Sharing. PerCom Jeffrey Junfeng Pan, Sinno Jialin Pan, Vincent Wenchen Zheng, Qiang Yang
2008	A*	`conf`	Dirichlet component analysis: feature extraction for compositional data. ICML Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha
2008	A*	`conf`	EigenRank: a ranking-oriented approach to collaborative filtering. SIGIR Nathan Nan Liu, Qiang Yang
2008	A*	`conf`	Enhancing text clustering by leveraging Wikipedia semantics. SIGIR Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua Li, Qiang Yang, Zheng Chen
2008	J	`jnl`	Estimating Location Using Wi-Fi. IEEE Intell. Syst. Qiang Yang, Sinno Jialin Pan, Vincent Wenchen Zheng
2008	—	`conf`	Learning Action Models with Quantified Conditional Effects for Software Requirement Specification. ICIC (1) Hankui Zhuo, Lei Li, Qiang Yang, Rui Bian
2008	J	`jnl`	Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation. IEEE Trans. Mob. Comput. Jie Yin, Qiang Yang, Lionel M. Ni
2008	—	`conf`	Learning Bidirectional Similarity for Collaborative Filtering. ECML/PKDD (1) Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen
2008	Misc	`conf`	Learning and acting through sensors. ISKE Qiang Yang
2008	A*	`conf`	Mining Translations of Web Queries from Web Click-through Data. AAAI Rong Hu, Weizhu Chen, Jian Hu, Yansheng Lu, Zheng Chen, Qiang Yang
2008	A*	`conf`	One-Class Collaborative Filtering. ICDM Rong Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, Rajan M. Lukose, Martin Scholz, Qiang Yang
2008	A	`conf`	Personal name classification in web queries. WSDM Dou Shen, Toby Walker, Zijian Zheng, Qiang Yang, Ying Li
2008	Misc	`conf`	Real world activity recognition with multiple goals. UbiComp Derek Hao Hu, Sinno Jialin Pan, Vincent Wenchen Zheng, Nathan Nan Liu, Qiang Yang
2008	A*	`conf`	Self-taught clustering. ICML Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
2008	J	`jnl`	Sensor-Based Abnormal Human-Activity Detection. IEEE Trans. Knowl. Data Eng. Jie Yin, Qiang Yang, Jeffrey Junfeng Pan
2008	A*	`conf`	Spectral domain-transfer learning. KDD Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu
2008	—	`conf`	Structural Support Vector Machine. ISNN (1) Hui Xue, Songcan Chen, Qiang Yang
2008	A*	`conf`	TOFA: Trace Oriented Feature Analysis in Text Categorization. ICDM Jun Yan, Ning Liu, Qiang Yang, Weiguo Fan, Zheng Chen
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`	Topic-bridged PLSA for cross-domain text classification. SIGIR Gui-Rong Xue, Wenyuan Dai, Qiang Yang, Yong Yu
2008	A*	`conf`	Transfer Learning via Dimensionality Reduction. AAAI Sinno Jialin Pan, James T. Kwok, Qiang Yang
2008	B	`conf`	Transferring Knowledge from Another Domain for Learning Action Models. PRICAI Hankui Zhuo, Qiang Yang, Derek Hao Hu, Lei Li
2008	A*	`conf`	Transferring Localization Models across Space. AAAI Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok
2008	A*	`conf`	Transferring Localization Models over Time. AAAI Vincent Wenchen Zheng, Evan Wei Xiang, Qiang Yang, Dou Shen
2008	A*	`conf`	Transferring Multi-device Localization Models using Latent Multi-task Learning. AAAI Vincent Wenchen Zheng, Sinno Jialin Pan, Qiang Yang, Jeffrey Junfeng Pan
2008	—	`conf`	Translated Learning: Transfer Learning across Different Feature Spaces. NIPS Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, Yong Yu
2008	J	`jnl`	Two-dimensional Laplacianfaces method for face recognition. Pattern Recognit. Ben Niu, Qiang Yang, Simon Chi-Keung Shiu, Sankar K. Pal
2008	A*	`conf`	Web query translation via web log mining. SIGIR Rong Hu, Weizhu Chen, Peng Bai, Yansheng Lu, Zheng Chen, Qiang Yang
2007	J	`jnl`	A cognitive approach for agent-based personalized recommendation. Knowl. Based Syst. Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh
2007	J	`jnl`	ARMS: an automatic knowledge engineering tool for learning action models for AI planning. Knowl. Eng. Rev. Kangheng Wu, Qiang Yang, Yunfei Jiang
2007	A*	`conf`	Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning. AAAI Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan
2007	B	`ed.`	Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings PAKDD Zhi-Hua Zhou, Hang Li, Qiang Yang
2007	A*	`conf`	Boosting for transfer learning. ICML Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
2007	A*	`conf`	Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian. IJCAI Jeffrey Junfeng Pan, Qiang Yang
2007	A*	`conf`	Co-clustering based classification for out-of-domain documents. KDD Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu
2007	J	`jnl`	Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases. IEEE Intell. Syst. Jeffrey Junfeng Pan, Qiang Yang, Yiming Yang, Lei Li, Frances Tianyi Li, George Wenmin Li
2007	A*	`conf`	Detect and Track Latent Factors with Online Nonnegative Matrix Factorization. IJCAI Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang, Zheng Chen
2007	—	`conf`	Discovering Patterns of DNA Methylation: Rule Mining with Rough Sets and Decision Trees, and Comethylation Analysis. PReMI Ben Niu, Qiang Yang, Jinyan Li, Shiu Chi-keung, Sankar K. Pal
2007	A*	`conf`	Document Summarization Using Conditional Random Fields. IJCAI Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng Chen
2007	A*	`conf`	Document Transformation for Multi-label Feature Selection in Text Categorization. ICDM Weizhu Chen, Jun Yan, Benyu Zhang, Zheng Chen, Qiang Yang
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`	Domain-constrained semi-supervised mining of tracking models in sensor networks. KDD Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeffrey Junfeng Pan, Dou Shen, Sinno Jialin Pan, Qiang Yang
2007	A*	`conf`	Exploring in the weblog space by detecting informative and affective articles. WWW Xiaochuan Ni, Gui-Rong Xue, Xiao Ling, Yong Yu, Qiang Yang
2007	J	`jnl`	Extracting Actionable Knowledge from Decision Trees. IEEE Trans. Knowl. Data Eng. Qiang Yang, Jie Yin, Charles X. Ling, Rong Pan
2007	A*	`conf`	Feature selection in a kernel space. ICML Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
2007	J	`jnl`	Graph Embedding and Extensions: A General Framework for Dimensionality Reduction. IEEE Trans. Pattern Anal. Mach. Intell. Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zhang, Qiang Yang, Stephen Lin
2007	J	`jnl`	Learning action models from plan examples using weighted MAX-SAT. Artif. Intell. Qiang Yang, Kangheng Wu, Yunfei Jiang
2007	A*	`conf`	Mining Web Query Hierarchies from Clickthrough Data. AAAI Dou Shen, Min Qin, Weizhu Chen, Qiang Yang, Zheng Chen
2007	J	`jnl`	Mining competent case bases for case-based reasoning. Artif. Intell. Rong Pan, Qiang Yang, Sinno Jialin Pan
2007	J	`jnl`	Multilinear Discriminant Analysis for Face Recognition. IEEE Trans. Image Process. Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xiaoou Tang, HongJiang Zhang
2007	J	`jnl`	Noise reduction through summarization for Web-page classification. Inf. Process. Manag. Dou Shen, Qiang Yang, Zheng Chen
2007	A*	`conf`	Online Co-Localization in Indoor Wireless Networks by Dimension Reduction. AAAI Jeffrey Junfeng Pan, Qiang Yang, Sinno Jialin Pan
2007	J	`jnl`	Reducing the Calibration Effort for Probabilistic Indoor Location Estimation. IEEE Trans. Mob. Comput. Xiaoyong Chai, Qiang Yang
2007	A*	`conf`	Semi-Supervised Learning with Very Few Labeled Training Examples. AAAI Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang
2007	J	`jnl`	Strong Compound-Risk Factors: Efficient Discovery Through Emerging Patterns and Contrast Sets. IEEE Trans. Inf. Technol. Biomed. Jinyan Li, Qiang Yang
2007	A*	`conf`	Transferring Naive Bayes Classifiers for Text Classification. AAAI Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu
2006	J	`jnl`	10 Challenging Problems in Data Mining Research. Int. J. Inf. Technol. Decis. Mak. Qiang Yang, Xindong Wu
2006	A*	`conf`	A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. AAAI Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung
2006	A*	`conf`	A Novel Scalable Algorithm for Supervised Subspace Learning. ICDM Jun Yan, Ning Liu, Benyu Zhang, Qiang Yang, Shuicheng Yan, Zheng Chen
2006	A*	`conf`	A comparison of implicit and explicit links for web page classification. WWW Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
2006	J	`jnl`	A scalable supervised algorithm for dimensionality reduction on streaming data. Inf. Sci. Jun Yan, Benyu Zhang, Shuicheng Yan, Ning Liu, Qiang Yang, QianSheng Cheng, Hua Li, Zheng Chen, Wei-Ying Ma
2006	A*	`conf`	Adding Semantics to Email Clustering. ICDM Hua Li, Dou Shen, Benyu Zhang, Zheng Chen, Qiang Yang
2006	A*	`conf`	Building bridges for web query classification. SIGIR Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
2006	—	`ed.`	Data Mining for Biomedical Applications, PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings BioDM Jinyan Li, Qiang Yang, Ah-Hwee Tan
2006	J	`jnl`	Discovering Classification from Data of Multiple Sources. Data Min. Knowl. Discov. Charles X. Ling, Qiang Yang
2006	A*	`conf`	Diverse Topic Phrase Extraction through Latent Semantic Analysis. ICDM Jilin Chen, Jun Yan, Benyu Zhang, Qiang Yang, Zheng Chen
2006	J	`jnl`	Effective and Efficient Dimensionality Reduction for Large-Scale and Streaming Data Preprocessing. IEEE Trans. Knowl. Data Eng. Jun Yan, Benyu Zhang, Ning Liu, Shuicheng Yan, QianSheng Cheng, Weiguo Fan, Qiang Yang, Wensi Xi, Zheng Chen
2006	A*	`conf`	Latent Friend Mining from Blog Data. ICDM Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
2006	J	`jnl`	Learning Contextual Dependency Network Models for Link-Based Classification. IEEE Trans. Knowl. Data Eng. Yonghong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao
2006	J	`jnl`	Mining Adaptive Ratio Rules from Distributed Data Sources. Data Min. Knowl. Discov. Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSheng Cheng, Zheng Chen
2006	J	`jnl`	Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing. IEEE Trans. Knowl. Data Eng. Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen
2006	B	`ed.`	PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings PRICAI Qiang Yang, Geoffrey I. Webb
2006	J	`jnl`	Power-Efficient Access-Point Selection for Indoor Location Estimation. IEEE Trans. Knowl. Data Eng. Yiqiang Chen, Qiang Yang, Jie Yin, Xiaoyong Chai
2006	J	`jnl`	Query enrichment for web-query classification. ACM Trans. Inf. Syst. Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin, Qiang Yang
2006	J	`jnl`	Reinforcing Web-object Categorization Through Interrelationships. Data Min. Knowl. Discov. Gui-Rong Xue, Yong Yu, Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen
2006	J	`jnl`	Test Strategies for Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. Charles X. Ling, Victor S. Sheng, Qiang Yang
2006	J	`jnl`	Test-Cost Sensitive Classification on Data with Missing Values. IEEE Trans. Knowl. Data Eng. Qiang Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan
2006	A*	`conf`	Text Classification Improved through Automatically Extracted Sequences. ICDE Dou Shen, Jian-Tao Sun, Qiang Yang, Hui Zhao, Zheng Chen
2006	A	`conf`	Text classification improved through multigram models. CIKM Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
2006	A*	`conf`	Thread detection in dynamic text message streams. SIGIR Dou Shen, Qiang Yang, Jian-Tao Sun, Zheng Chen
2005	A*	`conf`	Accurate and Low-cost Location Estimation Using Kernels. IJCAI Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen
2005	A*	`conf`	Activity Recognition through Goal-Based Segmentation. AAAI Jie Yin, Dou Shen, Qiang Yang, Ze-Nian Li
2005	A*	`conf`	Adaptive Temporal Radio Maps for Indoor Location Estimation. PerCom Jie Yin, Qiang Yang, Lionel M. Ni
2005	J	`jnl`	Advances in conversational case-based reasoning. Knowl. Eng. Rev. David W. Aha, David McSherry, Qiang Yang
2005	C	`conf`	An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data. APWeb Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang
2005	A*	`conf`	Competence Driven Case-Base Mining. AAAI Rong Pan, Qiang Yang, Jeffrey Junfeng Pan, Lei Li
2005	J	`jnl`	Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops CoRR Yi-Dong Shen, Qiang Yang, Jia-Huai You, Li-Yan Yuan
2005	B	`conf`	Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops. ILP Yi-Dong Shen, Qiang Yang
2005	—	`conf`	Discriminant Analysis with Tensor Representation. CVPR (1) Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xiaoou Tang, HongJiang Zhang
2005	A*	`conf`	Efficient Text Classification by Weighted Proximal SVM. ICDM Dong Zhuang, Benyu Zhang, Qiang Yang, Jun Yan, Zheng Chen, Ying Chen
2005	A*	`conf`	Exploiting the hierarchical structure for link analysis. SIGIR Gui-Rong Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu, Zheng Chen
2005	J	`jnl`	Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2. IEEE ACM Trans. Comput. Biol. Bioinform. Charles X. Ling, William Stafford Noble, Qiang Yang
2005	J	`jnl`	Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1. IEEE ACM Trans. Comput. Biol. Bioinform. Charles X. Ling, William Stafford Noble, Qiang Yang
2005	J	`jnl`	Guest Editors' Introduction: Data Mining in Bioinformatics. IEEE Intell. Syst. Jinyan Li, Limsoon Wong, Qiang Yang
2005	J	`jnl`	Guest Editors' Introduction: Special Section on Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. Chengqi Zhang, Qiang Yang, Bing Liu
2005	A*	`conf`	Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering. ICDM Jie Yin, Qiang Yang
2005	A*	`conf`	Learning Actions Models from Plan Examples with Incomplete Knowledge. ICAPS Qiang Yang, Kangheng Wu, Yunfei Jiang
2005	J	`jnl`	Learning quantifiable associations via principal sparse non-negative matrix factorization. Intell. Data Anal. Chenyong Hu, Benyu Zhang, Yongji Wang, Shuicheng Yan, Zheng Chen, Qing Wang, Qiang Yang
2005	J	`jnl`	Mining Customer Value: From Association Rules to Direct Marketing. Data Min. Knowl. Discov. Ke Wang, Senqiang Zhou, Qiang Yang, Jack Man Shun Yeung
2005	C	`conf`	Mining Quantitative Associations in Large Database. APWeb Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang, Qing Wang, Jinhui Zhou, Ran He, Yun Yan
2005	A*	`conf`	Multiple-Goal Recognition from Low-Level Signals. AAAI Xiaoyong Chai, Qiang Yang
2005	—	`conf`	Preprocessing Time Series Data for Classification with Application to CRM. Australian Conference on Artificial Intelligence Yiming Yang, Qiang Yang, Wei Lu, Sinno Jialin Pan, Rong Pan, Chenhui Lu, Lei Li, Zhenxing Qin
2005	J	`jnl`	Q SIGKDD Explor. Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin, Qiang Yang
2005	A*	`conf`	Reducing the Calibration Effort for Location Estimation Using Unlabeled Samples. PerCom Xiaoyong Chai, Qiang Yang
2005	A*	`conf`	Scalable collaborative filtering using cluster-based smoothing. SIGIR Gui-Rong Xue, Chenxi Lin, Qiang Yang, Wensi Xi, Hua-Jun Zeng, Yong Yu, Zheng Chen
2005	—	`conf`	Semantic Sensor Net: An Extensible Framework. ICCNMC Lionel M. Ni, Yanmin Zhu, Jian Ma, Minglu Li, Qiong Luo, Yunhao Liu, Shing-Chi Cheung, Qiang Yang
2005	—	`conf`	Simple Test Strategies for Cost-Sensitive Decision Trees. ECML Shengli Sheng, Charles X. Ling, Qiang Yang
2005	A*	`conf`	Web-page summarization using clickthrough data. SIGIR Jian-Tao Sun, Dou Shen, Hua-Jun Zeng, Qiang Yang, Yuchang Lu, Zheng Chen
2005	J	`jnl`	pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry. Bioinform. Dequan Li, Yan Fu, Ruixiang Sun, Charles X. Ling, Yonggang Wei, Hu Zhou, Rong Zeng, Qiang Yang, Simin He, Wen Gao
2004	B	`conf`	A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics. PRICAI Yan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li, Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He, Wen Gao
2004	J	`jnl`	A block-based support vector machine approach to the protein homology prediction task in KDD Cup 2004. SIGKDD Explor. Yan Fu, Ruixiang Sun, Qiang Yang, Simin He, Chunli Wang, Haipeng Wang, Shiguang Shan, Junfa Liu, Wen Gao
2004	J	`jnl`	Building Association-Rule Based Sequential Classifiers for Web-Document Prediction. Data Min. Knowl. Discov. Qiang Yang, Tianyi Li, Ke Wang
2004	—	`conf`	Case Retrieval Using Nonlinear Feature-Space Transformation. ECCBR Rong Pan, Qiang Yang, Lei Li
2004	A*	`conf`	Cluster Cores-Based Clustering for High Dimensional Data. ICDM Yi-Dong Shen, Zhiyong Shen, Shi-Ming Zhang, Qiang Yang
2004	A*	`conf`	Decision trees with minimal costs. ICML Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang
2004	J	`jnl`	Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry. Bioinform. Yan Fu, Qiang Yang, Ruixiang Sun, Dequan Li, Rong Zeng, Charles X. Ling, Wen Gao
2004	J	`jnl`	Guest Editors' Introduction: Information Enhancement for Data Mining. IEEE Intell. Syst. Shichao Zhang, Chengqi Zhang, Qiang Yang
2004	J	`jnl`	Guest Editors' Introduction: Mining Actionable Knowledge on the Web. IEEE Intell. Syst. Qiang Yang, Craig A. Knoblock, Xindong Wu
2004	A*	`conf`	High-Level Goal Recognition in a Wireless LAN. AAAI Jie Yin, Xiaoyong Chai, Qiang Yang
2004	A*	`conf`	IMMC: incremental maximum margin criterion. KDD Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, Hua Li, Zheng Chen, Wensi Xi, Weiguo Fan, Wei-Ying Ma, QianSheng Cheng
2004	A*	`conf`	IRC: An Iterative Reinforcement Categorization Algorithm for Interrelated Web Objects. ICDM Gui-Rong Xue, Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen, Yong Yu, Wensi Xi, Wei-Ying Ma
2004	C	`conf`	LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment. NPC Qiang Yang, Yiqiang Chen, Jie Yin, Xiaoyong Chai
2004	A	`conf`	Learning similarity measures in non-orthogonal space. CIKM Ning Liu, Benyu Zhang, Jun Yan, Qiang Yang, Shuicheng Yan, Zheng Chen, Fengshan Bai, Wei-Ying Ma
2004	A*	`conf`	Mining Ratio Rules Via Principal Sparse Non-Negative Matrix Factorization. ICDM Chenyong Hu, Benyu Zhang, Shuicheng Yan, Qiang Yang, Jun Yan, Zheng Chen, Wei-Ying Ma
2004	B	`conf`	Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. PAKDD Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng
2004	A*	`conf`	Test-Cost Sensitive Naive Bayes Classification. ICDM Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling
2004	A*	`conf`	Web-page classification through summarization. SIGIR Dou Shen, Zheng Chen, Qiang Yang, Hua-Jun Zeng, Benyu Zhang, Yuchang Lu, Wei-Ying Ma
2003	J	`jnl`	A Data Cube Model for Prediction-Based Web Prefetching. J. Intell. Inf. Syst. Qiang Yang, Joshua Zhexue Huang, Michael K. Ng
2003	J	`jnl`	A dynamic approach to characterizing termination of general logic programs. ACM Trans. Comput. Log. Yi-Dong Shen, Jia-Huai You, Li-Yan Yuan, Samuel S. P. Shen, Qiang Yang
2003	C	`conf`	Case Mining from Large Databases. ICCBR Qiang Yang, Hong Cheng
2003	J	`jnl`	Data Mining and Case-Based Reasoning for Distance Learning. Int. J. Distance Educ. Technol. Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang
2003	J	`jnl`	Data Preparation for Data Mining. Appl. Artif. Intell. Shichao Zhang, Chengqi Zhang, Qiang Yang
2003	A*	`conf`	Mining Customer Value: From Association Rules to Direct Marketing. ICDE Ke Wang, Senqiang Zhou, Jack Man Shun Yeung, Qiang Yang
2003	A*	`conf`	Mining High Utility Itemsets. ICDM Raymond Chan, Qiang Yang, Yi-Dong Shen
2003	A*	`conf`	Mining Plans for Customer-Class Transformation. ICDM Qiang Yang, Hong Cheng
2003	B	`conf`	Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation. PAKDD Yi-Dong Shen, Qiang Yang, Zhong Zhang, Hongjun Lu
2003	A*	`conf`	Planning for Marketing Campaigns. ICAPS Qiang Yang, Hong Cheng
2003	A*	`conf`	Postprocessing Decision Trees to Extract Actionable Knowledge. ICDM Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen
2003	J	`jnl`	SANet: a service-agent network for call-center scheduling. IEEE Trans. Syst. Man Cybern. Part A Qiang Yang, Yong Wang, Zhong Zhang
2003	J	`jnl`	Web-Log Cleaning for Constructing Sequential Classifiers. Appl. Artif. Intell. Qiang Yang, Tianyiian Li, Ke Wang
2003	J	`jnl`	Web-Log Mining for Predictive Web Caching. IEEE Trans. Knowl. Data Eng. Qiang Yang, Henry Haining Zhang
2002	J	`jnl`	A Dynamic Approach to Characterizing Termination of General Logic Programs CoRR Yi-Dong Shen, Jia-Huai You, Li-Yan Yuan, Samuel S. P. Shen, Qiang Yang
2002	—	`conf`	An Agent Approach for Personalized Recommendation. FSKD Chunyan Miao, Haijing Fang, Xuehong Tao, Qiang Yang, Robert K. L. Gay
2002	—	`conf`	An Open Framework for Smart and Personalized Distance Learning. ICWL Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang
2002	J	`jnl`	Correlation-Based Web Document Clustering for Adaptive Web Interface Design. Knowl. Inf. Syst. Zhong Su, Qiang Yang, HongJiang Zhang, Xiaowei Xu, Yu Hen Hu, Shaoping Ma
2002	B	`conf`	Cut-and-Pick Transactions for Proxy Log Mining. EDBT Wenwu Lou, Guimei Liu, Hongjun Lu, Qiang Yang
2002	B	`conf`	Fuzzy Cognitive Agents for Personalized Recommendation. WISE Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh
2002	A*	`conf`	Mining Case Bases for Action Recommendation. ICDM Qiang Yang, Hong Cheng
2002	A*	`conf`	Mining Optimal Actions for Profitable CRM. ICDM Charles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng
2002	A*	`conf`	Objective-Oriented Utility-Based Association Mining. ICDM Yi-Dong Shen, Zhong Zhang, Qiang Yang
2002	—	`conf`	The Application of Case Based Reasoning on Q&A System. Australian Joint Conference on Artificial Intelligence Peng Han, Ruimin Shen, Fan Yang, Qiang Yang
2002	J	`jnl`	Web-log Mining for Quantitative Temporal-Event Prediction. IEEE Intell. Informatics Bull. Qiang Yang, Hui Wang, Wei Zhang
2001	J	`jnl`	ActiveCBR: An Agent System That Integrates Case-Based Reasoning and Active Databases. Knowl. Inf. Syst. Sheng Li, Qiang Yang
2001	—	`conf`	Classification Pruning for Web-request Prediction. WWW Posters Ian Tian-Yi Li, Qiang Yang, Ke Wang
2001	—	`conf`	Correlation-based Document Clustering using Web Logs. HICSS Zhong Su, Qiang Yang, HongJiang Zhang, Xiaowei Xu, Yuhen Hu
2001	J	`jnl`	Enhancing the Effectiveness of Interactive Case-Based Reasoning with Clustering and Decision Forests. Appl. Intell. Qiang Yang, Jing Wu
2001	J	`jnl`	Feature Weight Maintenance in Case Bases Using Introspective Learning. J. Intell. Inf. Syst. Zhong Zhang, Qiang Yang
2001	J	`jnl`	Integrating Web Prefetching Using Prediction Models. World Wide Web Qiang Yang, Henry Haining Zhang
2001	J	`jnl`	Introduction to the Special Issue on Maintaining Case-Based Reasoning Systems. Comput. Intell. David B. Leake, Barry Smyth, David C. Wilson, Qiang Yang
2001	C	`conf`	Mining High-Quality Cases for Hypertext Prediction and Prefetching. ICCBR Qiang Yang, Ian Tian-Yi Li, Henry Haining Zhang
2001	—	`conf`	Mining Web Logs to Improve Web Caching and Prefetching. Web Intelligence Qiang Yang, Henry Haining Zhang, Ian Tian-Yi Li, Ye Lu
2001	A*	`conf`	Mining web logs for prediction models in WWW caching and prefetching. KDD Qiang Yang, Henry Haining Zhang, Tianyi Li
2001	—	`conf`	Model Based Predictive Prefetching. DEXA Workshop Qiang Yang, Zhen Zhang
2001	J	`jnl`	Redundancy Detection in Semistructured Case Bases. IEEE Trans. Knowl. Data Eng. Kirsti Racine, Qiang Yang
2001	—	`conf`	Taylor Series Prediction: A Cache Replacement Policy based on Second-Order Trend Analysis. HICSS Qiang Yang, Henry Haining Zhang, Hui Zhang
2000	A*	`conf`	A prediction system for multimedia pre-fetching in Internet. ACM Multimedia Zhong Su, Qiang Yang, HongJiang Zhang
2000	A*	`conf`	A unified framework for semantics and feature based relevance feedback in image retrieval systems. ACM Multimedia Ye Lu, Chunhui Hu, Xingquan Zhu, HongJiang Zhang, Qiang Yang
2000	—	`conf`	Activating Case-Based Reasoning with Active Databases. EWCBR Sheng Li, Qiang Yang
2000	Misc	`conf`	Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory. AI Qiang Yang, Jing Wu
2000	B	`conf`	Towards a Next-Generation Search Engine. PRICAI Qiang Yang, Haifeng Wang, Ji-Rong Wen, Gao Zhang, Ye Lu, Kai-Fu Lee, HongJiang Zhang
2000	B	`conf`	WhatNext: A Prediction System for Web Requests Using N-gram Sequence Models. WISE Zhong Su, Qiang Yang, Ye Lu, HongJiang Zhang
1999	—	`conf`	A Catalog of Agent Coordination Patterns. Agents Sandra C. Hayden, Christina Carrick, Qiang Yang
1999	C	`conf`	Activating CBR Systems Through Autonomous Information Gathering. ICCBR Christina Carrick, Qiang Yang
1999	A*	`conf`	Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning. IJCAI Zhong Zhang, Qiang Yang
1999	C	`conf`	Is CBR Applicable to the Coordination of Search and Rescue Operations? A Feasibility Study. ICCBR Irène Abi-Zeid, Qiang Yang, Luc Lamontagne
1999	—	`conf`	Plan Mining by Divide-and-Conquer. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery Jiawei Han, Qiang Yang, Edward Kim
1999	—	`conf`	Real-Time Scheduling for Multi-agent Call Center Automation. ECP Yong Wang, Qiang Yang, Zhong Zhang
1999	A*	`conf`	Remembering to Add: Competence-preserving Case-Addition Policies for Case Base Maintenance. IJCAI Jun Zhu, Qiang Yang
1998	Misc	`conf`	An Agent for Intelligent Situation Assessment. AIMSA Qiang Yang, Irène Abi-Zeid, Luc Lamontagne
1998	J	`jnl`	Applying Plan Recognition Algorithms To Program Understanding. Autom. Softw. Eng. Alex Quilici, Qiang Yang, Steven Woods
1998	J	`jnl`	Program Understanding as Constraint Satisfaction: Representation and Reasoning Techniques. Autom. Softw. Eng. Steven G. Woods, Qiang Yang
1998	Misc	`conf`	Towards Lifetime Maintenance of Case Based Indexes for Continual Case Based Reasoning. AIMSA Zhong Zhang, Qiang Yang
1997	J	`jnl`	Automatically Selecting and Using Primary Effects in Planning: Theory and Experiments. Artif. Intell. Eugene Fink, Qiang Yang
1997	—	`book`	Intelligent planning - a decomposition and abstraction based approach. Qiang Yang
1997	C	`conf`	Maintaining Unstructured Case Base. ICCBR Kirsti Racine, Qiang Yang
1996	—	`conf`	Applying plan recognition algorithms to program understanding. KBSE Alex Quilici, Qiang Yang, Steven Woods
1996	J	`jnl`	On the Implenentation and Evaluation of ABTWEAK. Comput. Intell. Qiang Yang, Josh D. Tenenberg, Steven G. Woods
1996	A*	`conf`	The Program Understanding Problem: Analysis and a Heuristic Approach. ICSE Steven G. Woods, Qiang Yang
1995	J	`jnl`	Planning as Refinement Search: A Unified Framework for Evaluating Design Tradeoffs in Partial-Order Planning. Artif. Intell. Subbarao Kambhampati, Craig A. Knoblock, Qiang Yang
1995	A*	`conf`	Planning with Primary Effects: Experiments and Analysis. IJCAI Eugene Fink, Qiang Yang
1995	J	`jnl`	Relating the Performance of Partial-Order Planning Algorithms to Domain Features. SIGART Bull. Craig A. Knoblock, Qiang Yang
1994	—	`conf`	A Framework for Automatic Problem Decomposition in Planning. AIPS Qiang Yang, Shuo Bai, Guiyou Qiu
1994	J	`jnl`	An Evaluation of the Temporal Coherence Heuristic in Partial-Order Planning. Comput. Intell. Qiang Yang, Cheryl Murray
1994	—	`conf`	Delaying Variable Binding Commitments in Planning. AIPS Qiang Yang, Alex Y. M. Chan
1994	J	`jnl`	Downward Refinement and the Efficiency of Hierarchical Problem Solving. Artif. Intell. Fahiem Bacchus, Qiang Yang
1993	A*	`conf`	Characterizing and Automatically Finding Primary Effects in Planning. IJCAI Eugene Fink, Qiang Yang
1992	J	`jnl`	A Theory of Conflict Resolution in Planning. Artif. Intell. Qiang Yang
1992	J	`jnl`	Handling feature interactions in process-planning. Appl. Artif. Intell. Raghu Karinthi, Dana S. Nau, Qiang Yang
1992	J	`jnl`	Merging Separately Generated Plans with Restricted Interactions. Comput. Intell. Qiang Yang, Dana S. Nau, James A. Hendler
1992	A*	`conf`	The Expected Value of Hierarchical Problem-Solving. AAAI Fahiem Bacchus, Qiang Yang
1992	J	`jnl`	Theory and Algorithms for Plan Merging. Artif. Intell. David E. Foulser, Ming Li, Qiang Yang
1991	A*	`conf`	A Quantitative Theory for Plan Merging. AAAI David E. Foulser, Ming Li, Qiang Yang
1991	A*	`conf`	Characterizing Abstraction Hierarchies for Planning. AAAI Craig A. Knoblock, Josh D. Tenenberg, Qiang Yang
1991	A*	`conf`	The Downward Refinement Property. IJCAI Fahiem Bacchus, Qiang Yang
1990	A*	`conf`	ABTWEAK: Abstracting a Nonlinear, Least Commitment Planner. AAAI Qiang Yang, Josh D. Tenenberg
1990	A*	`conf`	An Algebraic Approach to Conflict Resolution in Planning. AAAI Qiang Yang
1990	J	`jnl`	Formalizing planning knowledge for hierarchical planning. Comput. Intell. Qiang Yang
1989	A*	`conf`	Preprocessing Search Spaces for Branch and Bound Search. IJCAI Qiang Yang, Dana S. Nau