Zhang, Wenbin

25 publications

NeurIPS 2025 A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances Zichong Wang, Zhipeng Yin, Wenbin Zhang
ECML-PKDD 2025 Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification Jintao Qu, Zichong Wang, Chenhao Wu, Wenbin Zhang, Dongmei Li
ICML 2025 FDGen: A Fairness-Aware Graph Generation Model Zichong Wang, Wenbin Zhang
AAAI 2025 Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang
ECML-PKDD 2025 Fairness-Aware Graph Representation Learning with Limited Demographic Information Zichong Wang, Zhipeng Yin, Liping Yang, Jun Zhuang, Rui Yu, Qingzhao Kong, Wenbin Zhang
ICML 2025 Preserving AUC Fairness in Learning with Noisy Protected Groups Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu
ECML-PKDD 2025 Redefining Fairness: A Multi-Dimensional Perspective and Integrated Evaluation Framework Zichong Wang, Zhipeng Yin, Zhen Liu, Roland H. C. Yap, Xiaocai Zhang, Shu Hu, Wenbin Zhang
ICML 2025 TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion Jiujiang Guo, Mankun Zhao, Wenbin Zhang, Tianyi Xu, Linying Xu, Yu Jian, Yu Mei, Yu Ruiguo
AAAI 2025 Toward Adaptive Large Language Models Structured Pruning via Hybrid-Grained Weight Importance Assessment Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang
AISTATS 2025 Towards Fair Graph Learning Without Demographic Information Zichong Wang, Nhat Hoang, Xingyu Zhang, Kevin Bello, Xiangliang Zhang, Sundararaja Sitharama Iyengar, Wenbin Zhang
IJCAI 2025 Towards Fairness with Limited Demographics via Disentangled Learning Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang
NeurIPS 2025 UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu
IJCAI 2025 fairGNN-WOD: Fair Graph Learning Without Complete Demographics Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang
ECML-PKDD 2024 Advancing Graph Counterfactual Fairness Through Fair Representation Learning Zichong Wang, Zhibo Chu, Ronald Blanco, Zhong Chen, Shu-Ching Chen, Wenbin Zhang
IJCAI 2024 BadFusion: 2D-Oriented Backdoor Attacks Against 3D Object Detection Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan
AAAI 2024 Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models Dingzirui Wang, Longxu Dou, Wenbin Zhang, Junyu Zeng, Wanxiang Che
AAAI 2024 Fairness with Censorship: Bridging the Gap Between Fairness Research and Real-World Deployment Wenbin Zhang
ECML-PKDD 2024 Graph Attention Network with Relational Dynamic Factual Fusion for Knowledge Graph Completion Mei Yu, Yilin Zuo, Wenbin Zhang, Mankun Zhao, Tianyi Xu, Yue Zhao, Jiujiang Guo, Jian Yu
ECML-PKDD 2024 Individual Fairness with Group Awareness Under Uncertainty Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang
CVPRW 2024 On the Efficiency of Privacy Attacks in Federated Learning Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
NeurIPSW 2023 BadFusion: 2D-Oriented Backdoor Attacks Against 3D Object Detection Saket Sanjeev Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan
AAAI 2023 Censored Fairness Through Awareness Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss
ECML-PKDD 2023 FG2AN: Fairness-Aware Graph Generative Adversarial Networks Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang
AAAI 2022 Longitudinal Fairness with Censorship Wenbin Zhang, Jeremy C. Weiss
IJCAI 2019 FAHT: An Adaptive Fairness-Aware Decision Tree Classifier Wenbin Zhang, Eirini Ntoutsi