Fuzhen Zhuang - RankMe

438 papers A* 92A 33B 5C 7Misc 2Journal 242Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	APL-LLM: adaptive pseudo-labeling with large language models for few-shot node classification. Frontiers Comput. Sci. Junyi Li, Chenweinan Jiang, Daixin Wang, Guo Ye, Libang Zhang, Huimei He, Binbin Hu, Zhiqiang Zhang, Fuzhen Zhuang
2026	J	`jnl`	Adaptive Robust Estimator for Multi-Agent Reinforcement Learning. CoRR Zhongyi Li, Wan Tian, Jingyu Chen, Kangyao Huang, Huiming Zhang, Hui Yang, Tao Ren, Jinyang Jiang, Yijie Peng, Yikun Ban, Fuzhen Zhuang
2026	J	`jnl`	Awakening Dormant Users: Generative Recommendation with Counterfactual Functional Role Reasoning. CoRR Huishi Luo, Shuokai Li, Hanchen Yang, Zhongbo Sun, Haojie Ding, Boheng Zhang, Zijia Cai, Renliang Qian, Fan Yang, Tingting Gao, Chenyi Lei, Wenwu Ou, Fuzhen Zhuang
2026	A	`conf`	CAT-ID WSDM Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin
2026	J	`jnl`	Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards. CoRR Xiaodong Lu, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Zhijun Chen, Yu Luo, Fuzhen Zhuang, Yikun Ban, Deqing Wang
2026	J	`jnl`	Counterfactual Credit Policy Optimization for Multi-Agent Collaboration. CoRR Zhongyi Li, Wan Tian, Yikun Ban, Jinju Chen, Huiming Zhang, Yang Liu, Fuzhen Zhuang
2026	J	`jnl`	Does Your Reasoning Model Implicitly Know When to Stop Thinking? CoRR Zixuan Huang, Xin Xia, Yuxi Ren, Jianbin Zheng, Xuanda Wang, Zhixia Zhang, Hongyan Xie, Songshi Liang, Zehao Chen, Xuefeng Xiao, Fuzhen Zhuang, Jianxin Li, Yikun Ban, Deqing Wang
2026	J	`jnl`	ELStar: An elastic long- and short-term multi-interest user modeling network for agricultural news recommendation. Knowl. Based Syst. Yiqi Tong, Wei Guo, Fuzhen Zhuang, Deqing Wang, Huarui Wu
2026	J	`jnl`	Efficient Instruction Vulnerability Prediction With Heterogeneous SDC Propagation Knowledge Graph. IEEE Trans. Dependable Secur. Comput. Bao Wen, Jingjing Gu, Dazhong Shen, Qiang Zhou, Fuzhen Zhuang, Yang Liu, Haocheng Song, Xinyi Huang
2026	J	`jnl`	Enhancing LLM-based Recommendation with Preference Hint Discovery from Knowledge Graph. CoRR Yuting Zhang, Ziliang Pei, Chao Wang, Ying Sun, Fuzhen Zhuang
2026	J	`jnl`	FedPDM: Representation enhanced federated learning with privacy preserving diffusion models. Knowl. Based Syst. Wei Guo, Fuzhen Zhuang, Yiqi Tong, Xiao Zhang, Zhaojun Hu, Jiejie Zhao, Jin Dong
2026	J	`jnl`	Federated Reasoning Distillation Framework with Model Learnability-Aware Data Allocation. CoRR Wei Guo, Siyuan Lu, Xiangdong Ran, Yiqi Tong, Yikun Ban, Zelong Xu, Jing Fan, Zixuan Huang, Xiao Zhang, Zhaojun Hu, Fuzhen Zhuang
2026	J	`jnl`	Graph learning and its advancements on large language models: A holistic survey. Neurocomputing Shaopeng Wei, Jun Wang, Yu Zhao, Xingyan Chen, Xiaochun Hu, Qing Li, Fuzhen Zhuang, Fuji Ren, Gang Kou
2026	J	`jnl`	Heterogeneous Agent Collaborative Reinforcement Learning. CoRR Zhixia Zhang, Zixuan Huang, Xin Xia, Deqing Wang, Fuzhen Zhuang, Shuai Ma, Ning Ding, Yaodong Yang, Jianxin Li, Yikun Ban
2026	—	`conf`	How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals. KDD (1) Feng Liu, Hao Cang, Huanhuan Yuan, Jiaqing Fan, Yongjing Hao, Fuzhen Zhuang, Guanfeng Liu, Pengpeng Zhao
2026	J	`jnl`	Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation. CoRR Wei Chen, Xingyu Guo, Shuang Li, Zhao Zhang, Yan Zhong, Fuzhen Zhuang, Deqing Wang
2026	J	`jnl`	Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation. CoRR Wei Chen, Xingyu Guo, Shuang Li, Yan Zhong, Zhao Zhang, Fuzhen Zhuang, Hongrui Liu, Libang Zhang, Guo Ye, Huimei He
2026	A*	`conf`	Multi-Aspect Cross-modal Quantization for Generative Recommendation. AAAI Fuwei Zhang, Xiaoyu Liu, Dongbo Xi, Jishen Yin, Huan Chen, Peng Yan, Fuzhen Zhuang, Zhao Zhang
2026	J	`jnl`	Real-Time Aligned Reward Model beyond Semantics. CoRR Zixuan Huang, Xin Xia, Yuxi Ren, Jianbin Zheng, Xuefeng Xiao, Hongyan Xie, Li Huaqiu, Songshi Liang, Zhongxiang Dai, Fuzhen Zhuang, Jianxin Li, Yikun Ban, Deqing Wang
2026	J	`jnl`	SeqFedEDT: Accelerating Sequential Federated Learning on non-IID Data via Element-Wise Decoupled Training. IEEE Trans. Mob. Comput. Tian Du, Xingyan Chen, Mu Wang, Yaling Liu, Su Yao, Gang Kou, Fuzhen Zhuang, Changqiao Xu, Gabriel-Miro Muntean
2026	J	`jnl`	TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer. CoRR Yiwen Chen, Yiqing Wu, Huishi Luo, Fuzhen Zhuang, Deqing Wang
2026	J	`jnl`	Trend-aware structure relearning framework for water quality prediction with coupled noise governance. Expert Syst. Appl. Shuo Tong, Yuyang Xu, Jianming Sun, Fuzhen Zhuang, Jian Wu, Guangdi Chen, Haochao Ying
2026	J	`jnl`	UniFAR: A Unified Facet-Aware Retrieval Framework for Scientific Documents. CoRR Zheng Dou, Zhao Zhang, Deqing Wang, Yikun Ban, Fuzhen Zhuang
2026	J	`jnl`	Weak-Driven Learning: How Weak Agents make Strong Agents Stronger. CoRR Zehao Chen, Gongxun Li, Tianxiang Ai, Yifei Li, Zixuan Huang, Wang Zhou, Fuzhen Zhuang, Xianglong Liu, Jianxin Li, Deqing Wang, Yikun Ban
2026	J	`jnl`	You Only Anonymize What Is Not Intent-Relevant: Suppressing Non-Intent Privacy Evidence. CoRR Weihao Shen, Yaxin Xu, Shuang Li, Wei Chen, Yuqin Lan, Meng Yuan, Fuzhen Zhuang
2026	J	`jnl`	Your Group-Relative Advantage Is Biased. CoRR Fengkai Yang, Zherui Chen, Xiaohan Wang, Xiaodong Lu, Jiajun Chai, Guojun Yin, Wei Lin, Shuai Ma, Fuzhen Zhuang, Deqing Wang, Yaodong Yang, Jianxin Li, Yikun Ban
2025	J	`jnl`	A Progressively-Passing-Then-Disentangling Approach to Recipe Recommendation. IEEE Trans. Multim. Chunlai Dong, Haochao Ying, Renjun Hu, Yuyang Xu, Jintai Chen, Fuzhen Zhuang, Jian Wu
2025	A	`conf`	A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation. CIKM Xiaoyu Liu, Yiqing Wu, Ruidong Han, Fuzhen Zhuang, Xiang Li, Wei Lin
2025	J	`jnl`	A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation. CoRR Xiaoyu Liu, Yiqing Wu, Ruidong Han, Fuzhen Zhuang, Xiang Li, Wei Lin
2025	J	`jnl`	AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes. IEEE Trans. Knowl. Data Eng. Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Fei Wang, Zhulin An, Yongjun Xu
2025	J	`jnl`	AgriCHN: A Comprehensive Cross-domain Resource for Chinese Agricultural Named Entity Recognition. CoRR Lingxiao Zeng, Yiqi Tong, Wei Guo, Huarui Wu, Lihao Ge, Yijun Ye, Fuzhen Zhuang, Deqing Wang, Cheng Chen
2025	J	`jnl`	An unsupervised domain adaptation method for cross-domain deceptive reviews detection. Appl. Intell. Ning Cao, Shujuan Ji, Fuzhen Zhuang, Dickson K. W. Chiu, Yajie Guo, Maoguo Gong
2025	J	`jnl`	Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment. CoRR Wei Chen, Han Ding, Meng Yuan, Zhao Zhang, Deqing Wang, Fuzhen Zhuang
2025	J	`jnl`	CAT-ID CoRR Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin
2025	A*	`conf`	CDC: Causal Domain Clustering for Multi-Domain Recommendation. SIGIR Huishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang
2025	J	`jnl`	CDC: Causal Domain Clustering for Multi-Domain Recommendation. CoRR Huishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang
2025	J	`jnl`	COTR: Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning. ACM Trans. Manag. Inf. Syst. Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Fuzhen Zhuang, Hengshu Zhu
2025	J	`jnl`	Causal Structure Representation Learning of Unobserved Confounders in Latent Space for Recommendation. ACM Trans. Inf. Syst. Hangtong Xu, Yuanbo Xu, Chaozhuo Li, Fuzhen Zhuang
2025	—	`conf`	Constrained Optimization to Improve Critical Rare Classes Performance Within the Top-Ranking Part. ECML/PKDD (1) Yuxin Ying, Fuzhen Zhuang, Ziyi Liu, Dingyuan Zhu, Daixin Wang, Xiaobo Qin
2025	J	`jnl`	DUET: Dual Model Co-Training for Entire Space CTR Prediction. CoRR Yutian Xiao, Meng Yuan, Fuzhen Zhuang, Wei Chen, Shukuan Wang, Shanqi Liu, Chao Feng, Wenhui Yu, Xiang Li, Lantao Hu, Han Li, Zhao Zhang
2025	J	`jnl`	Data-Free Continual Learning of Server Models in Model-Heterogeneous Federated learning. CoRR Xiao Zhang, Zengzhe Chen, Yuan Yuan, Yifei Zou, Fuzhen Zhuang, Wenyu Jiao, Yuke Wang, Dongxiao Yu
2025	A	`conf`	Enhancing Dual-Target Cross-Domain Recommendation via Similar User Bridging. CIKM Qi Zhou, Xi Chen, Chuyu Fang, Jianji Wang, Chuan Qin, Fuzhen Zhuang
2025	A*	`conf`	FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis. IJCAI Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang
2025	J	`jnl`	FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis. CoRR Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang
2025	—	`conf`	FEZE: Alignment-Flexible Zero-Shot Vertical Federated Learning. KDD (2) Wei Guo, Yiqi Tong, Yiyang Duan, Fuzhen Zhuang, Xiao Zhang, Zhaojun Hu, Jin Dong
2025	J	`jnl`	FLeW: Facet-Level and Adaptive Weighted Representation Learning of Scientific Documents. CoRR Zheng Dou, Deqing Wang, Fuzhen Zhuang, Jian Ren, Yanlin Hu
2025	J	`jnl`	FairDgcl: Fairness-Aware Recommendation With Dynamic Graph Contrastive Learning. IEEE Trans. Knowl. Data Eng. Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu
2025	J	`jnl`	GL-MSIN: A Global-Local Hierarchical Multiscale Interaction Network for Referring Remote Sensing Image Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Wenyu Mi, Fuzhen Zhuang, Jianji Wang, Le Yu, Boyu Guo, Ruitao Chu, Meiqin Liu
2025	J	`jnl`	GRRSIS: Generalized Referring Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. Wenyu Mi, Jianji Wang, Fuzhen Zhuang, Nanning Zheng
2025	A	`conf`	H ECAI Wei Guo, Siyuan Lu, Yiqi Tong, Zhaojun Hu, Fuzhen Zhuang, Xiao Zhang, Tao Fan, Jin Dong
2025	J	`jnl`	H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity. CoRR Wei Guo, Siyuan Lu, Yiqi Tong, Zhaojun Hu, Fuzhen Zhuang, Xiao Zhang, Tao Fan, Jin Dong
2025	J	`jnl`	HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation. ACM Trans. Inf. Syst. Meng Yuan, Zhao Zhang, Wei Chen, Chu Zhao, Tong Cai, Deqing Wang, Rui Liu, Fuzhen Zhuang
2025	—	`conf`	HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search. ACL (6) Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Zenghua Xia, Fei Jiang, Fuzhen Zhuang, Wei Lin, Zhao Zhang
2025	J	`jnl`	How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals. CoRR Feng Liu, Hao Cang, Huanhuan Yuan, Jiaqing Fan, Yongjing Hao, Fuzhen Zhuang, Guanfeng Liu, Pengpeng Zhao
2025	A*	`conf`	Hyperbolic Diffusion Recommender Model. WWW Meng Yuan, Yutian Xiao, Wei Chen, Chou Zhao, Deqing Wang, Fuzhen Zhuang
2025	J	`jnl`	Hyperbolic Diffusion Recommender Model. CoRR Meng Yuan, Yutian Xiao, Wei Chen, Chu Zhao, Deqing Wang, Fuzhen Zhuang
2025	J	`jnl`	ID-centric Pre-training for Recommendation. ACM Trans. Inf. Syst. Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Zhulin An, Yongjun Xu
2025	J	`jnl`	Identifying Evidence Subgraphs for Financial Risk Detection via Graph Counterfactual and Factual Reasoning. CoRR Huaming Du, Lei Yuan, Qing Yang, Xingyan Chen, Yu Zhao, Han Ji, Fuzhen Zhuang, Carl Yang, Gang Kou
2025	—	`conf`	Improving Multi-attribute Fairness in LLM-Based Recommenders Through a Mixture-of-Experts Contrastive Learning Method. DASFAA (6) Jing Fan, Chen Zhu, Han Wu, Fuzhen Zhuang, Deqing Wang, Hengshu Zhu
2025	J	`jnl`	LLMBoost: Make Large Language Models Stronger with Boosting. CoRR Zehao Chen, Tianxiang Ai, Yifei Li, Gongxun Li, Yuyang Wei, Wang Zhou, Guanghui Li, Bin Yu, Zhijun Chen, Hailong Sun, Fuzhen Zhuang, Jianxin Li, Deqing Wang, Yikun Ban
2025	J	`jnl`	Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems. IEEE Trans. Knowl. Data Eng. Yuanbo Xu, Fuzhen Zhuang, En Wang, Chaozhuo Li, Jie Wu
2025	J	`jnl`	Long-Term Urban Flow Prediction Against Data Distribution Shift: A Causal Perspective. IEEE Trans. Knowl. Data Eng. Yuting Liu, Qiang Zhou, Hanzhe Li, Fuzhen Zhuang, Jingjing Gu
2025	J	`jnl`	MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction. CoRR Yutian Xiao, Shukuan Wang, Binhao Wang, Zhao Zhang, Yanze Zhang, Shanqi Liu, Chao Feng, Xiang Li, Fuzhen Zhuang
2025	J	`jnl`	MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation. CoRR Weilun Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Yingli Tian, Tingwen Huang
2025	J	`jnl`	Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning. ACM Trans. Inf. Syst. Ying Sun, Yang Ji, Hengshu Zhu, Fuzhen Zhuang, Qing He, Hui Xiong
2025	—	`conf`	Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. KDD (2) Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao
2025	J	`jnl`	Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. CoRR Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao
2025	J	`jnl`	MindScore: quantifying human preference for text-to-image generation through multi-view lens. Sci. China Inf. Sci. Yiqi Tong, Jiarui Zhang, Shaohang Wei, Wei Guo, Fuzhen Zhuang, Deqing Wang, Xi Yang, Richeng Xuan
2025	A*	`conf`	Mixed-Curvature Multi-Modal Knowledge Graph Completion. AAAI Yuxiao Gao, Fuwei Zhang, Zhao Zhang, Xiaoshuang Min, Fuzhen Zhuang
2025	J	`jnl`	Multi-Aspect Cross-modal Quantization for Generative Recommendation. CoRR Fuwei Zhang, Xiaoyu Liu, Dongbo Xi, Jishen Yin, Huan Chen, Peng Yan, Fuzhen Zhuang, Zhaoxiang Zhang
2025	—	`conf`	Multi-level Relevance Document Identifier Learning for Generative Retrieval. ACL (1) Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Shuai Zhang, Xiang Li, Fuzhen Zhuang, Wei Lin, Zhao Zhang
2025	A	`conf`	ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. CIKM Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
2025	J	`jnl`	ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. CoRR Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
2025	A*	`conf`	One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation. AAAI Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang
2025	J	`jnl`	PCRec: A Multi-Interest News Recommendation Framework with Prompt-Guided Cross-View Contrastive Learning. J. Comput. Sci. Technol. Yiqi Tong, Qian-Qi Liu, Wei Guo, Hong-Rui Niu, Fuzhen Zhuang, Deqing Wang, Jun Gao
2025	J	`jnl`	Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data. CoRR Wei Guo, Yiyang Duan, Zhaojun Hu, Yiqi Tong, Fuzhen Zhuang, Xiao Zhang, Jin Dong, Ruofan Wu, Tengfei Liu, Yifan Sun
2025	—	`conf`	Self-Disentangling Domain-Specific and Domain-Agnostic Representations Across Multiple Sources for Data-To-Text Generation. ICKG Mingxuan Du, Jingbo Zhou, Fuzhen Zhuang, Yuhong Zhang
2025	A*	`conf`	Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. AAAI Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang
2025	J	`jnl`	TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent With Multi-Modality Observation Data in Cloud-Native Systems. IEEE Trans. Serv. Comput. Xiao Zhang, Qi Wang, Mingyi Li, Yuan Yuan, Mengbai Xiao, Fuzhen Zhuang, Dongxiao Yu
2025	J	`jnl`	TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data. CoRR Qi Wang, Xiao Zhang, Mingyi Li, Yuan Yuan, Mengbai Xiao, Fuzhen Zhuang, Dongxiao Yu
2025	—	`conf`	Whitening-based Adversarial Bi-Regressor for Cross-platform Insurance Claims Prediction. WWW (Companion Volume) Xiaoyu Liu, Yiqing Wu, Dingyuan Zhu, Yifan Wu, Daixin Wang, Xiaobo Qin, Fuzhen Zhuang
2024	J	`jnl`	A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications. CoRR Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong
2024	A	`conf`	A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. CIKM Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
2024	J	`jnl`	A comprehensive survey of federated transfer learning: challenges, methods and applications. Frontiers Comput. Sci. Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong
2024	J	`jnl`	A syntactic evidence network model for fact verification. Neural Networks Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang
2024	J	`jnl`	A syntactic multi-level interaction network for rumor detection. Neural Comput. Appl. Zhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang
2024	J	`jnl`	Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks. Inf. Sci. Shaopeng Wei, Jia Lv, Yu Guo, Qing Yang, Xingyan Chen, Yu Zhao, Qing Li, Fuzhen Zhuang, Gang Kou
2024	A*	`conf`	Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. KDD Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu
2024	A*	`conf`	DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024	J	`jnl`	DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024	J	`jnl`	DKPE: Deep KeyPhrase Expansion. Neurocomputing Huaming Du, Zhilong Xie, Jia Song, Yaoxing Yuan, Jiacan Li, Xingyan Chen, Huangen Chen, Yu Zhao, Fuzhen Zhuang, Qing Li
2024	J	`jnl`	E5-V: Universal Embeddings with Multimodal Large Language Models. CoRR Ting Jiang, Minghui Song, Zihan Zhang, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang
2024	—	`conf`	Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. DASFAA (4) Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. CoRR Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction. IEEE Trans. Knowl. Data Eng. Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang
2024	—	`conf`	Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. WWW (Companion Volume) Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang
2024	A	`conf`	Exploring High-Order User Preference with Knowledge Graph for Recommendation. CIKM Caijun Xu, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Rui Liu
2024	J	`jnl`	FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning. CoRR Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu
2024	J	`jnl`	FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia
2024	J	`jnl`	Graph Dimension Attention Networks for Enterprise Credit Assessment. CoRR Shaopeng Wei, Beni Egressy, Xingyan Chen, Yu Zhao, Fuzhen Zhuang, Roger Wattenhofer, Gang Kou
2024	J	`jnl`	ID-centric Pre-training for Recommendation. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024	J	`jnl`	Improving Domain Adaptation through Extended-Text Reading Comprehension. CoRR Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang
2024	A	`conf`	Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. WSDM Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
2024	A*	`conf`	Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. NeurIPS Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. CoRR Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework. CoRR Dongbo Xi, Zhen Chen, Yuexian Wang, He Cui, Chong Peng, Fuzhen Zhuang, Peng Yan
2024	A	`conf`	Light POI-Guided Conversational Recommender System based on Adaptive Space. SDM Meng Yuan, Fuwei Zhang, Yiqi Tong, Yuxin Ying, Fuzhen Zhuang, Deqing Wang, Baoxing Huai, Yi Zhang, Jia Su
2024	A*	`conf`	Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. ICDE Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2024	A*	`conf`	Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. ICDE Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2024	J	`jnl`	Mining technology trends in scientific publications: a graph propagated neural topic modeling approach. Knowl. Inf. Syst. Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
2024	J	`jnl`	MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning. CoRR Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang
2024	A*	`conf`	Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. AAAI Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong
2024	—	`conf`	Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. WWW (Companion Volume) Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu
2024	J	`jnl`	Multi-scale conditional reconstruction generative adversarial network. Image Vis. Comput. Yanming Chen, Jiahao Xu, Zhulin An, Fuzhen Zhuang
2024	A	`conf`	Multi-view Temporal Knowledge Graph Reasoning. CIKM Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang
2024	J	`jnl`	One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation. CoRR Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang
2024	J	`jnl`	Open-category referring expression comprehension via multi-modal knowledge transfer. Neurocomputing Wenyu Mi, Jianji Wang, Fuzhen Zhuang, Zhulin An, Wei Guo
2024	J	`jnl`	Personalized Prompt for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
2024	A*	`conf`	Representation Learning of Temporal Graphs with Structural Roles. KDD Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou
2024	A*	`conf`	Resource-Aware Federated Self-Supervised Learning with Global Class Representations. NeurIPS Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
2024	J	`jnl`	Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective. IEEE Trans. Knowl. Data Eng. Xiao Zhang, Shuqing Xu, Huashan Chen, Zekai Chen, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
2024	—	`conf`	Scaling Sentence Embeddings with Large Language Models. EMNLP (Findings) Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang
2024	—	`conf`	SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. DASFAA (4) Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang
2024	J	`jnl`	Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. CoRR Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daxin Wang, Zhiqiang Zhang, Fuzhen Zhuang
2024	A*	`conf`	Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. ACM Multimedia Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu
2024	J	`jnl`	Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder Learning for Domain Generalization. IEEE Trans. Multim. Ying Luo, Guoliang Kang, Kexin Liu, Fuzhen Zhuang, Jinhu Lü
2024	J	`jnl`	Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement. IEEE Trans. Knowl. Data Eng. Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Yu Zhao, Deqing Wang, Hongwei Zheng
2024	J	`jnl`	TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation. ACM Trans. Inf. Syst. Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li, Fuzhen Zhuang, Hui Xiong
2024	J	`jnl`	Triple Dual Learning for Opinion-based Explainable Recommendation. ACM Trans. Inf. Syst. Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu
2024	A*	`conf`	Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. KDD Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2024	J	`jnl`	Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. CoRR Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2023	—	`conf`	A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. WWW (Companion Volume) Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li
2023	J	`jnl`	A Survey on Causal Inference for Recommendation. CoRR Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang
2023	A*	`conf`	A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2023	J	`jnl`	Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification. CoRR Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang
2023	A*	`conf`	Attacking Pre-trained Recommendation. SIGIR Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023	J	`jnl`	Attacking Pre-trained Recommendation. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023	A*	`conf`	CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. WWW Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng
2023	J	`jnl`	Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective. ACM Trans. Knowl. Discov. Data Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong
2023	J	`jnl`	Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He
2023	J	`jnl`	Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. IEEE Trans. Knowl. Data Eng. Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang
2023	J	`jnl`	DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops. CoRR Hangtong Xu, Yuanbo Xu, Yongjian Yang, Fuzhen Zhuang, Hui Xiong
2023	J	`jnl`	Effectively Modeling Sentence Interactions With Factorization Machines for Fact Verification. IEEE Intell. Syst. Zhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang
2023	A*	`conf`	Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. SIGIR Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction. CoRR Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang
2023	—	`conf`	Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. ICDM (Workshops) Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
2023	J	`jnl`	FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition. IEEE Trans. Mob. Comput. Hongzheng Yu, Zekai Chen, Xiao Zhang, Xu Chen, Fuzhen Zhuang, Hui Xiong, Xiuzhen Cheng
2023	A*	`conf`	Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. SIGIR Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu
2023	A*	`conf`	Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. SIGIR Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. CoRR Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu
2023	A	`conf`	Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference. SDM Ningjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang
2023	J	`jnl`	Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. CoRR Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
2023	A	`conf`	Knowledge Graph Error Detection with Hierarchical Path Structure. CIKM Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu
2023	A	`conf`	Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. RecSys Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong
2023	J	`jnl`	Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. CoRR Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong
2023	J	`jnl`	Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks. IEEE Trans. Knowl. Data Eng. Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
2023	A*	`conf`	Matching Point of Interests and Travel Blog with Multi-view Information Fusion. SIGIR Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou
2023	J	`jnl`	Memory-Guided Multi-View Multi-Domain Fake News Detection. IEEE Trans. Knowl. Data Eng. Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
2023	A*	`conf`	Meta-optimized Contrastive Learning for Sequential Recommendation. SIGIR Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation. CoRR Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2023	A*	`conf`	Modeling Dual Period-Varying Preferences for Takeaway Recommendation. KDD Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
2023	J	`jnl`	Modeling Dual Period-Varying Preferences for Takeaway Recommendation. CoRR Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
2023	J	`jnl`	Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CoRR Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu
2023	J	`jnl`	Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. IEEE Trans. Knowl. Data Eng. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
2023	Misc	`conf`	Neural Multi-hop Logical Query Answering with Concept-Level Answers. ISWC Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf
2023	J	`jnl`	Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang
2023	A	`conf`	PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. CIKM Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang
2023	—	`conf`	Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
2023	A*	`conf`	RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. KDD Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong
2023	J	`jnl`	Scaling Sentence Embeddings with Large Language Models. CoRR Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang
2023	A*	`conf`	Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
2023	J	`jnl`	Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
2023	J	`jnl`	Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks. IEEE Trans. Knowl. Data Eng. Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou
2023	J	`jnl`	Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction. IEEE Trans. Knowl. Data Eng. Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong
2023	J	`jnl`	Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. ACM Trans. Inf. Syst. Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li
2023	J	`jnl`	Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
2023	A*	`conf`	Weighted Knowledge Graph Embedding. SIGIR Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu
2022	B	`conf`	A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. COLING Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
2022	J	`jnl`	A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. CoRR Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
2022	A*	`conf`	A Logic Aware Neural Generation Method for Explainable Data-to-text. KDD Xiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang
2022	J	`jnl`	A Survey on Knowledge Graph-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2022	J	`jnl`	Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He
2022	J	`jnl`	Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources. CoRR Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
2022	A	`conf`	Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He
2022	J	`jnl`	An automatic short-answer grading model for semi-open-ended questions. Interact. Learn. Environ. Lishan Zhang, Yuwei Huang, Xi Yang, Shengquan Yu, Fuzhen Zhuang
2022	J	`jnl`	Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk. CoRR Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
2022	B	`conf`	Clustering-Enhanced Knowledge Graph Embedding. Big Data (CCF) Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He
2022	—	`conf`	Customized Conversational Recommender Systems. ECML/PKDD (2) Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
2022	J	`jnl`	Customized Conversational Recommender Systems. CoRR Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
2022	J	`jnl`	Detect Professional Malicious User With Metric Learning in Recommender Systems. IEEE Trans. Knowl. Data Eng. Yuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong
2022	J	`jnl`	Detect Professional Malicious User with Metric Learning in Recommender Systems. CoRR Yuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong
2022	J	`jnl`	EIGAT: Incorporating global information in local attention for knowledge representation learning. Knowl. Based Syst. Yu Zhao, Huali Feng, Han Zhou, Yanruo Yang, Xingyan Chen, Ruobing Xie, Fuzhen Zhuang, Qing Li
2022	A*	`conf`	EvidenceNet: Evidence Fusion Network for Fact Verification. WWW Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Fei Li, Meihuizi Jia, Jiaqi Li
2022	J	`jnl`	Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. CoRR Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He
2022	A*	`conf`	Exploiting Global and Local Hierarchies for Hierarchical Text Classification. EMNLP Ting Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang
2022	J	`jnl`	Exploiting Global and Local Hierarchies for Hierarchical Text Classification. CoRR Ting Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang
2022	A*	`conf`	Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction. ICDM Yan Chen, Jingjing Gu, Fuzhen Zhuang, Xinjiang Lu, Ming Sun
2022	J	`jnl`	Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. IEEE Trans. Knowl. Data Eng. Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong
2022	J	`jnl`	Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. CoRR Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
2022	A*	`conf`	Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. SIGIR Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
2022	J	`jnl`	Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. CoRR Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
2022	J	`jnl`	HarMI: Human Activity Recognition Via Multi-Modality Incremental Learning. IEEE J. Biomed. Health Informatics Xiao Zhang, Hongzheng Yu, Yang Yang, Jingjing Gu, Yujun Li, Fuzhen Zhuang, Dongxiao Yu, Zhaochun Ren
2022	Misc	`conf`	Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework. ICASSP Yiqi Tong, Fuzhen Zhuang, Deqing Wang, Haochao Ying, Binling Wang
2022	J	`jnl`	Improving biomedical named entity recognition by dynamic caching inter-sentence information. Bioinform. Yiqi Tong, Fuzhen Zhuang, Huajie Zhang, Chuyu Fang, Yu Zhao, Deqing Wang, Hengshu Zhu, Bin Ni
2022	J	`jnl`	Joint Abductive and Inductive Neural Logical Reasoning. CoRR Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf
2022	—	`conf`	Knowledge-Aware Topological Networks for Recommendation. CCKS Jian Pan, Zhao Zhang, Fuzhen Zhuang, Jingyuan Yang, Zhiping Shi
2022	J	`jnl`	Memory-Guided Multi-View Multi-Domain Fake News Detection. CoRR Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
2022	A*	`conf`	Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. AAAI Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
2022	A	`conf`	Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CIKM Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu
2022	J	`jnl`	Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. CoRR Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
2022	J	`jnl`	Multi-Representation Adaptation Network for Cross-domain Image Classification. CoRR Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He
2022	—	`conf`	Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
2022	J	`jnl`	Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
2022	J	`jnl`	Personalized Prompts for Sequential Recommendation. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
2022	A	`conf`	Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
2022	A*	`conf`	Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. IJCAI Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
2022	J	`jnl`	Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. CoRR Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
2022	A*	`conf`	PromptBERT: Improving BERT Sentence Embeddings with Prompts. EMNLP Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang
2022	J	`jnl`	PromptBERT: Improving BERT Sentence Embeddings with Prompts. CoRR Ting Jiang, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Liangjie Zhang, Qi Zhang
2022	J	`jnl`	Pruning Pre-trained Language Models Without Fine-Tuning. CoRR Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
2022	J	`jnl`	RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs. CoRR Ziming Wan, Deqing Wang, Xuehua Ming, Fuzhen Zhuang, Chenguang Du, Ting Jiang, Zhengyang Zhao
2022	A*	`conf`	Selective Fairness in Recommendation via Prompts. SIGIR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
2022	J	`jnl`	Selective Fairness in Recommendation via Prompts. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
2022	J	`jnl`	Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He
2022	J	`jnl`	Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks. CoRR Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou
2022	A*	`conf`	User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
2022	J	`jnl`	User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
2022	J	`jnl`	Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2022	J	`jnl`	Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. ACM Trans. Knowl. Discov. Data Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong
2021	J	`jnl`	A Comprehensive Survey on Transfer Learning. Proc. IEEE Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
2021	J	`jnl`	A neural topic model with word vectors and entity vectors for short texts. Inf. Process. Manag. Xiaowei Zhao, Deqing Wang, Zhengyang Zhao, Wei Liu, Chenwei Lu, Fuzhen Zhuang
2021	J	`jnl`	A semi-supervised deep convolutional framework for signet ring cell detection. Neurocomputing Haochao Ying, Qingyu Song, Jintai Chen, Tingting Liang, Jingjing Gu, Fuzhen Zhuang, Danny Z. Chen, Jian Wu
2021	A*	`conf`	AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. IJCAI Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
2021	J	`jnl`	AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. CoRR Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
2021	A	`conf`	Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. CIKM Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He
2021	—	`conf`	An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. PRCV (4) Zhipeng Zhang, Li Xiao, Fuzhen Zhuang, Ling Ma, Yuan Chang, Yuanyuan Wang, Huiqin Jiang, Qing He
2021	—	`conf`	BFConv: Improving Convolutional Neural Networks with Butterfly Convolution. ICONIP (4) Dengjie Yang, Xuehui Yu, Yi Sun, Fuzhen Zhuang, Qing He, Shiwei Ye
2021	J	`jnl`	Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. IEEE Trans. Neural Networks Learn. Syst. Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang
2021	J	`jnl`	Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He
2021	A*	`conf`	Community-Aware Multi-Task Transportation Demand Prediction. AAAI Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong
2021	A*	`conf`	Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. WWW Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong
2021	J	`jnl`	Deep Keyphrase Completion. CoRR Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu
2021	J	`jnl`	Deep Subdomain Adaptation Network for Image Classification. CoRR Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
2021	J	`jnl`	Deep Subdomain Adaptation Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
2021	A*	`conf`	Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. NeurIPS Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong
2021	J	`jnl`	Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. CoRR Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He
2021	A*	`conf`	Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. KDD Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021	J	`jnl`	Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. CoRR Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021	J	`jnl`	Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning. CoRR Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
2021	J	`jnl`	Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Trans. Knowl. Data Eng. Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
2021	J	`jnl`	Improving Non-autoregressive Generation with Mixup Training. CoRR Ting Jiang, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Liangjie Zhang, Qi Zhang
2021	—	`conf`	Incorporating Global Information in Local Attention for Knowledge Representation Learning. ACL/IJCNLP (Findings) Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu
2021	C	`conf`	Joint alignment and compactness learning for multi-source unsupervised domain adaptation. ICMV Yuhong Zhang, Mingxuan Du, Fuzhen Zhuang, Yuxi Jin, Yuhui Ma, Hongbo Zhang
2021	J	`jnl`	Knowledge graph embedding with shared latent semantic units. Neural Networks Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He
2021	—	`conf`	Knowledge-Aware Hypergraph Neural Network for Recommender Systems. DASFAA (3) Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng
2021	A*	`conf`	Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. KDD Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
2021	J	`jnl`	Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. CoRR Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
2021	A*	`conf`	Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. SIGIR Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao
2021	J	`jnl`	Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. CoRR Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao
2021	A*	`conf`	LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification. AAAI Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang
2021	J	`jnl`	LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification. CoRR Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang
2021	J	`jnl`	Long- and short-term self-attention network for sequential recommendation. Neurocomputing Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng
2021	A	`conf`	Low-dimensional Alignment for Cross-Domain Recommendation. CIKM Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He
2021	J	`jnl`	Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. CoRR Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
2021	A*	`conf`	Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. AAAI Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang
2021	J	`jnl`	Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. CoRR Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang
2021	A*	`conf`	Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. AAAI Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
2021	A*	`conf`	Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. KDD Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen
2021	J	`jnl`	Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. CoRR Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen
2021	J	`jnl`	Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification. CoRR Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
2021	J	`jnl`	Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. CoRR Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
2021	J	`jnl`	Personalized Transfer of User Preferences for Cross-domain Recommendation. CoRR Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
2021	—	`conf`	Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation. ECML/PKDD (2) Yuanxin Zhuang, Chuan Shi, Cheng Yang, Fuzhen Zhuang, Yangqiu Song
2021	A*	`conf`	Talent Demand Forecasting with Attentive Neural Sequential Model. KDD Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong
2021	—	`conf`	Tell Me Where to Go Next: Improving POI Recommendation via Conversation. DASFAA (3) Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng
2021	J	`jnl`	Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
2021	A*	`conf`	Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. SIGIR Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
2021	J	`jnl`	Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. CoRR Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
2020	J	`jnl`	A Survey on Knowledge Graph-Based Recommender Systems. CoRR Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2020	J	`jnl`	Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. IEEE Trans. Neural Networks Learn. Syst. Jiayu Han, Lei Zheng, Yuanbo Xu, Bangzuo Zhang, Fuzhen Zhuang, Philip S. Yu, Wanli Zuo
2020	C	`conf`	CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He
2020	A	`conf`	Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
2020	A*	`conf`	Collaborative Self-Attention Network for Session-based Recommendation. IJCAI Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng
2020	J	`jnl`	Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. Inf. Syst. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2020	—	`conf`	Cross-Domain Recommendation with Adversarial Examples. DASFAA (3) Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng
2020	A*	`conf`	Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. WWW Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He
2020	J	`jnl`	Dynamic Measurement and Data Calibration for Aerial Mobile IoT. IEEE Internet Things J. Jingjing Gu, Cheng Liu, Yi Zhuang, Xiaojiang Du, Fuzhen Zhuang, Haochao Ying, Yanchao Zhao, Mohsen Guizani
2020	J	`jnl`	E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. CoRR Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong
2020	A*	`conf`	Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. WWW Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong
2020	J	`jnl`	Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. CoRR Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong
2020	J	`jnl`	Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. Neural Networks Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He
2020	J	`jnl`	Graph Factorization Machines for Cross-Domain Recommendation. CoRR Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He
2020	A*	`conf`	Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. KDD Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong
2020	J	`jnl`	Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. CoRR Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong
2020	J	`jnl`	Leveraging maximum entropy and correlation on latent factors for learning representations. Neural Networks Zhicheng He, Jie Liu, Kai Dang, Fuzhen Zhuang, Yalou Huang
2020	A*	`conf`	Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. ICDM Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He
2020	A*	`conf`	Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. WWW Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
2020	J	`jnl`	Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. CoRR Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
2020	A*	`conf`	Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. SIGIR Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
2020	J	`jnl`	Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback. ACM Trans. Knowl. Discov. Data Yuanbo Xu, Yongjian Yang, En Wang, Jiayu Han, Fuzhen Zhuang, Zhiwen Yu, Hui Xiong
2020	J	`jnl`	Online Bayesian max-margin subspace learning for multi-view classification and regression. Mach. Learn. Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
2020	A*	`conf`	Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He
2020	J	`jnl`	Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. J. Comput. Sci. Technol. Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong
2020	J	`jnl`	Softly Associative Transfer Learning for Cross-Domain Classification. IEEE Trans. Cybern. Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang
2020	—	`conf`	The Linear Geometry Structure of Label Matrix for Multi-label Learning. DEXA (2) Tianzhu Chen, Fenghua Li, Fuzhen Zhuang, Yunchuan Guo, Liang Fang
2020	J	`jnl`	Trust-embedded collaborative deep generative model for social recommendation. J. Supercomput. Xiaoyi Deng, Yenchun Jim Wu, Fuzhen Zhuang
2020	—	`conf`	Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. DASFAA (1) Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang
2019	J	`jnl`	A Comprehensive Survey on Transfer Learning. CoRR Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
2019	—	`conf`	Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. PAKDD (1) Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He
2019	A*	`conf`	Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. AAAI Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
2019	J	`jnl`	Bayesian dual neural networks for recommendation. Frontiers Comput. Sci. Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin
2019	J	`jnl`	Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. Inf. Syst. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2019	J	`jnl`	Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation. CoRR Jian Liu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Fuzhen Zhuang, Jiajie Xu, Xiaofang Zhou, Hui Xiong
2019	A*	`conf`	DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. KDD Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong
2019	J	`jnl`	Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. CoRR Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
2019	A*	`conf`	Graph Contextualized Self-Attention Network for Session-based Recommendation. IJCAI Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou
2019	J	`jnl`	Grid-based DBSCAN: Indexing and inference. Pattern Recognit. Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He
2019	A*	`conf`	Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. ICDM Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong
2019	A*	`conf`	Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach. ACM Multimedia Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu
2019	—	`conf`	Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias. PAKDD (1) Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu
2019	J	`jnl`	Knowledge triple mining via multi-task learning. Inf. Syst. Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong
2019	J	`jnl`	Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. CoRR Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
2019	A*	`conf`	Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. AAAI Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
2019	J	`jnl`	Multi-representation adaptation network for cross-domain image classification. Neural Networks Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He
2019	A*	`conf`	Multiple Relational Attention Network for Multi-task Learning. KDD Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong
2019	J	`jnl`	NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks. Neural Networks Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Jingyuan Yang, Hui Xiong
2019	A*	`conf`	Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction. IJCAI Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo
2019	—	`conf`	Neural Variational Collaborative Filtering for Top-K Recommendation. PAKDD (Workshops) Xiaoyi Deng, Fuzhen Zhuang
2019	J	`jnl`	Neural variational collaborative filtering with side information for top-K recommendation. Int. J. Mach. Learn. Cybern. Xiaoyi Deng, Fuzhen Zhuang, Zhiguo Zhu
2019	A*	`conf`	Policy Gradients for Contextual Recommendations. WWW Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He
2019	C	`conf`	SDC-causing Error Detection Based on Lightweight Vulnerability Prediction. ACML Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang
2019	J	`jnl`	Supervised representation learning for multi-label classification. Mach. Learn. Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He
2019	A*	`conf`	The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. KDD Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
2019	J	`jnl`	Transfer Learning Toolkit: Primers and Benchmarks. CoRR Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He
2019	A*	`conf`	Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. AAAI Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2018	A*	`conf`	A General Cross-Domain Recommendation Framework via Bayesian Neural Network. ICDM Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He
2018	A*	`conf`	An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. ICDM Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Hui Xiong
2018	A*	`conf`	Attention-driven Factor Model for Explainable Personalized Recommendation. SIGIR Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He
2018	—	`conf`	Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation. PAKDD (1) Yuwei Huang, Xi Yang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu
2018	—	`conf`	Automatic Chinese Short Answer Grading with Deep Autoencoder. AIED (2) Xi Yang, Yuwei Huang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu
2018	J	`jnl`	Coupled matrix factorization and topic modeling for aspect mining. Inf. Process. Manag. Ding Xiao, Yugang Ji, Yitong Li, Fuzhen Zhuang, Chuan Shi
2018	A*	`conf`	Cross-Domain Labeled LDA for Cross-Domain Text Classification. ICDM Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu
2018	J	`jnl`	Cross-Domain Labeled LDA for Cross-Domain Text Classification. CoRR Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu
2018	J	`jnl`	Cross-domain novelty seeking trait mining for sequential recommendation. CoRR Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He
2018	J	`jnl`	Discovering and learning sensational episodes of news events. Inf. Syst. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2018	A*	`conf`	Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation. ICDM Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Hui Xiong
2018	A*	`conf`	Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. KDD Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He
2018	A*	`conf`	Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He
2018	A*	`conf`	Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. IJCAI Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu
2018	J	`jnl`	Mining Precise-Positioning Episode Rules from Event Sequences. IEEE Trans. Knowl. Data Eng. Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He
2018	A	`conf`	MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He
2018	J	`jnl`	Policy Gradients for Contextual Bandits. CoRR Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He
2018	J	`jnl`	RECOME: A new density-based clustering algorithm using relative KNN kernel density. Inf. Sci. Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He, Naixue Xiong
2018	J	`jnl`	Self-organizing weighted incremental probabilistic latent semantic analysis. Int. J. Mach. Learn. Cybern. Ning Li, Wenjuan Luo, Kun Yang, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2018	J	`jnl`	Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. IEEE Trans. Cybern. Fuzhen Zhuang, Xuebing Li, Xin Jin, Dapeng Zhang, Lirong Qiu, Qing He
2018	A*	`conf`	Sequential Recommender System based on Hierarchical Attention Networks. IJCAI Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu
2018	J	`jnl`	Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM Trans. Intell. Syst. Technol. Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He
2018	J	`jnl`	The Automatic Identification of Butterfly Species. CoRR Juanying Xie, Qi Hou, Yinghuan Shi, Lv Peng, Liping Jing, Fuzhen Zhuang, Junping Zhang, Xiaoyang Tang, Shengquan Xu
2018	J	`jnl`	Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He
2017	A	`conf`	Local Ensemble across Multiple Sources for Collaborative Filtering. CIKM Jing Zheng, Fuzhen Zhuang, Chuan Shi
2017	A*	`conf`	Mining Precise-Positioning Episode Rules from Event Sequences. ICDE Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He
2017	A*	`conf`	Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. IJCAI Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
2017	J	`jnl`	Recommendation in heterogeneous information network via dual similarity regularization. Int. J. Data Sci. Anal. Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu
2017	A	`conf`	Representation Learning with Pair-wise Constraints for Collaborative Ranking. WSDM Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He
2017	J	`jnl`	Representation learning via Dual-Autoencoder for recommendation. Neural Networks Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He
2017	—	`conf`	Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. WWW (Companion Volume) Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He
2017	C	`conf`	Transfer Learning with Manifold Regularized Convolutional Neural Network. KSEM Fuzhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He
2016	—	`conf`	Aspect Mining with Rating Bias. ECML/PKDD (2) Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, Bin Wu
2016	J	`jnl`	Bag of little bootstraps on features for enhancing classification performance. Intell. Data Anal. Haocheng Wang, Fuzhen Zhuang, Xin Jin, Xiang Ao, Qing He
2016	—	`conf`	Dual Similarity Regularization for Recommendation. PAKDD (2) Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu
2016	A	`conf`	Ensemble of Anchor Adapters for Transfer Learning. CIKM Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He
2016	J	`jnl`	Expenditure Aware Rating Prediction for Recommendation. CoRR Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu
2016	—	`conf`	Expenditure aware rating prediction for recommendation. IEEE BigData Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu, Naiwang Guo
2016	J	`jnl`	Integrating heterogeneous information via flexible regularization framework for recommendation. Knowl. Inf. Syst. Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu
2016	—	`conf`	Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. ECML/PKDD (1) Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
2016	A*	`conf`	Online Bayesian Max-Margin Subspace Multi-View Learning. IJCAI Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
2016	J	`jnl`	RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density. CoRR Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He
2016	B	`conf`	Tag correlation and user social relation based microblog recommendation. IJCNN Huifang Ma, Meihuizi Jia, Xianghong Lin, Fuzhen Zhuang
2015	A*	`conf`	Bayesian Maximum Margin Principal Component Analysis. AAAI Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi
2015	J	`jnl`	Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval. Neurocomputing Shuhui Wang, Fuzhen Zhuang, Shuqiang Jiang, Qingming Huang, Qi Tian
2015	A	`conf`	Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. CIKM Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He
2015	A	`conf`	Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang
2015	A	`conf`	Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He
2015	B	`conf`	Improving ESVM with Generalized Cross-Validation. IJCNN Tianshu Feng, Fuzhen Zhuang, Qing He
2015	J	`jnl`	Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation. CoRR Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu
2015	J	`jnl`	Learning deep representations via extreme learning machines. Neurocomputing Wenchao Yu, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2015	A*	`conf`	Online Frequent Episode Mining. ICDE Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2015	J	`jnl`	Parallel sampling from big data with uncertainty distribution. Fuzzy Sets Syst. Qing He, Haocheng Wang, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi
2015	J	`jnl`	QPLSA: Utilizing quad-tuples for aspect identification and rating. Inf. Process. Manag. Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi
2015	A*	`conf`	Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. ICDM Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He
2015	A*	`conf`	Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He
2014	—	`conf`	Balanced Seed Selection for Budgeted Influence Maximization in Social Networks. PAKDD (1) Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2014	J	`jnl`	Clustering in extreme learning machine feature space. Neurocomputing Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi
2014	J	`jnl`	Combining supervised and unsupervised models via unconstrained probabilistic embedding. Inf. Sci. Xiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen
2014	—	`conf`	Discovering and learning sensational episodes of news events. WWW (Companion Volume) Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2014	A	`conf`	Multi-task Multi-view Learning for Heterogeneous Tasks. CIKM Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He
2014	A	`conf`	Nonparametric Bayesian Multi-Task Large-margin Classification. ECAI Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He
2014	—	`conf`	Parallel feature selection using positive approximation based on MapReduce. FSKD Qing He, Xiaohu Cheng, Fuzhen Zhuang, Zhongzhi Shi
2014	A*	`conf`	Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. ICDM Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi
2014	C	`conf`	Scalable bootstrap clustering for massive data. SNPD Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi
2014	—	`conf`	Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. ECML/PKDD (3) Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi
2014	J	`jnl`	Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. IEEE Trans. Cybern. Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong
2013	C	`conf`	A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. APWeb Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi
2013	A*	`conf`	Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. IJCAI Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi
2013	—	`conf`	Embedding with Autoencoder Regularization. ECML/PKDD (3) Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2013	J	`jnl`	Exploiting relevance, coverage, and novelty for query-focused multi-document summarization. Knowl. Based Syst. Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2013	B	`conf`	Extreme Learning Machine combining matrix factorization for collaborative filtering. IJCNN Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi
2013	J	`jnl`	Parallel extreme learning machine for regression based on MapReduce. Neurocomputing Qing He, Tianfeng Shang, Fuzhen Zhuang, Zhongzhi Shi
2013	J	`jnl`	Particle swarm optimization using dimension selection methods. Appl. Math. Comput. Xin Jin, Yongquan Liang, Dongping Tian, Fuzhen Zhuang
2013	—	`conf`	Shared Structure Learning for Multiple Tasks with Multiple Views. ECML/PKDD (2) Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi
2013	A	`conf`	Triplex transfer learning: exploiting both shared and distinct concepts for text classification. WSDM Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi
2012	—	`conf`	Effectively Constructing Reliable Data for Cross-Domain Text Classification. IIP Fuzhen Zhuang, Qing He, Zhongzhi Shi
2012	J	`jnl`	Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification". IEEE Trans. Knowl. Data Eng. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
2012	—	`conf`	Fast Time Series Classification Based on Infrequent Shapelets. ICMLA (1) Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi
2012	—	`conf`	Improving Transfer Learning by Introspective Reasoner. IIP Zhongzhi Shi, Bo Zhang, Fuzhen Zhuang
2012	J	`jnl`	Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification. IEEE Trans. Knowl. Data Eng. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
2012	A*	`conf`	Multi-task Semi-supervised Semantic Feature Learning for Classification. ICDM Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2012	J	`jnl`	Multi-view learning via probabilistic latent semantic analysis. Inf. Sci. Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, Zhongzhi Shi
2012	—	`conf`	PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce. IIP Ning Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2012	—	`conf`	Parallel Decision Tree with Application to Water Quality Data Analysis. ISNN (2) Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi
2012	—	`conf`	Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. PAKDD (1) Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2012	—	`conf`	TINAC: A fast and effective web video topic detection framework. FSKD Xiang Ao, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2011	J	`jnl`	A parallel incremental extreme SVM classifier. Neurocomputing Qing He, Changying Du, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi
2011	A*	`conf`	Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. IJCAI Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen
2011	J	`jnl`	Exploiting associations between word clusters and document classes for cross-domain text categorization. Stat. Anal. Data Min. Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi
2011	C	`conf`	Parallel Outlier Detection Using KD-Tree Based on MapReduce. CloudCom Qing He, Yunlong Ma, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi
2010	—	`conf`	A noise handling method for hyper surface classification. FSKD Tingting Li, Fuzhen Zhuang, Qing He
2010	A	`conf`	Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. CIKM Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
2010	J	`jnl`	Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. IEEE Trans. Knowl. Data Eng. Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi
2010	A*	`conf`	D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. ICDM Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi
2010	—	`conf`	Effectively Leveraging Entropy and Relevance for Summarization. AIRS Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2010	A	`conf`	Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization. SDM Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi
2010	—	`conf`	Local Bayesian Based Rejection Method for HSC Ensemble. ISNN (1) Qing He, Wenjuan Luo, Fuzhen Zhuang, Zhongzhi Shi
2010	—	`conf`	Parallel Implementation of Classification Algorithms Based on MapReduce. RSKT Qing He, Fuzhen Zhuang, Jincheng Li, Zhongzhi Shi
2008	—	`conf`	The Data Selection Criteria for HSC and SVM Algorithms. ICNC (3) Qing He, Fuzhen Zhuang, Zhongzhi Shi
2008	A	`conf`	Transfer learning from multiple source domains via consensus regularization. CIKM Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He