PPaperPicks

Wenbin Zhang

Florida International University, Miami, FL, USA

35 papers at tracked venues · 13 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Zichong Wang
×22
Zhipeng Yin
×9
Jun Zhuang
×4
Jie Yang
×3
Roland H. C. Yap
×3
Avash Palikhe
×3
Zhen Liu
×3
Jun Liu
×3
Shu Hu
×3
Zhong Chen
×3
Yanzhao Wu
×3
Wanqing Li
×2

Papers

  1. FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted Reasoner
    ACL 2026 ·
    Hao Wu
    ,
    Hongru Sun
    ,
    Wanqing Li
    ,
    Xinguo Yu
    ,
    Hao Ming
    ,
    Xiao Luo
    , Wenbin Zhang,
    Jiahong Zhao
    ,
    Yi Guo
    ,
    Jie Yang
  2. Fair Graph Learning with Limited Sensitive Attribute Information
    AAAI 2026 ·
    Zichong Wang
    ,
    Jie Yang
    ,
    Jun Zhuang
    ,
    Puqing Jiang
    ,
    Mingzhe Chen
    ,
    Ye Hu
    , Wenbin Zhang
  3. GUIC: Certified Graph Unlearning with Individual Fairness Guarantees
    AAAI 2026 ·
    Zichong Wang
    ,
    Tongliang Liu
    , Wenbin Zhang
  4. Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain
    ACL 2026 ·
    Gang Cheng
    ,
    Haibo Jin
    , Wenbin Zhang,
    Haohan Wang
    ,
    Jun Zhuang
  5. Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation
    AAAI 2026 ·
    Xiaocai Zhang
    ,
    Zhe Xiao
    ,
    Maohan Liang
    ,
    Tao Liu
    ,
    Haijiang Li
    , Wenbin Zhang
  6. A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances
    NeurIPS 2025 ·
    Zichong Wang
    ,
    Zhipeng Yin
    , Wenbin Zhang
  7. AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
    ECAI 2025 ·
    Zichong Wang
    ,
    Zhipeng Yin
    ,
    Roland H. C. Yap
    , Wenbin Zhang
  8. AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
    ECAI 2025 ·
    Zhipeng Yin
    ,
    Zichong Wang
    ,
    Avash Palikhe
    ,
    Zhen Liu
    ,
    Jun Liu
    , Wenbin Zhang
  9. Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification
    ECML-PKDD 2025 ·
    Jintao Qu
    ,
    Zichong Wang
    ,
    Chenhao Wu
    , Wenbin Zhang,
    Dongmei Li
  10. Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
    EMNLP 2025 ·
    Jun Zhuang
    ,
    Hai Jin
    ,
    Ye Zhang
    ,
    Zhengjian Kang
    , Wenbin Zhang,
    Gaby G. Dagher
    ,
    Haohan Wang
  11. FDGen: A Fairness-Aware Graph Generation Model
    ICML 2025 ·
    Zichong Wang
    , Wenbin Zhang
  12. Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness
    AAAI 2025 ·
    Zichong Wang
    ,
    Zhibo Chu
    ,
    Thang Viet Doan
    ,
    Shaowei Wang
    ,
    Yongkai Wu
    ,
    Vasile Palade
    , Wenbin Zhang
  13. Fairness in Language Models: A Tutorial
    CIKM 2025 ·
    Zichong Wang
    ,
    Avash Palikhe
    ,
    Zhipeng Yin
    , Wenbin Zhang
  14. Fairness-Aware Graph Representation Learning with Limited Demographic Information
    ECML-PKDD 2025 ·
    Zichong Wang
    ,
    Zhipeng Yin
    ,
    Liping Yang
    ,
    Jun Zhuang
    ,
    Rui Yu
    ,
    Qingzhao Kong
    , Wenbin Zhang
  15. Negative-Free Graph Contrastive Learning for Recommendation
    ICDM 2025 ·
    Junping Liu
    ,
    Mingchao Yu
    ,
    Xinrong Hu
    ,
    Jie Yang
    ,
    Yi Guo
    ,
    Wanqing Li
    , Wenbin Zhang
  16. Preserving AUC Fairness in Learning with Noisy Protected Groups
    ICML 2025 ·
    Mingyang Wu
    ,
    Li Lin
    , Wenbin Zhang,
    Xin Wang
    ,
    Zhenhuan Yang
    ,
    Shu Hu
  17. Redefining Fairness: A Multi-dimensional Perspective and Integrated Evaluation Framework
    ECML-PKDD 2025 ·
    Zichong Wang
    ,
    Zhipeng Yin
    ,
    Zhen Liu
    ,
    Roland H. C. Yap
    ,
    Xiaocai Zhang
    ,
    Shu Hu
    , Wenbin Zhang
  18. Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
    AAAI 2025 ·
    Jun Liu
    ,
    Zhenglun Kong
    ,
    Pu Zhao
    ,
    Changdi Yang
    ,
    Xuan Shen
    ,
    Hao Tang
    ,
    Geng Yuan
    ,
    Wei Niu
    , Wenbin Zhang,
    Xue Lin
    ,
    Dong Huang
    ,
    Yanzhi Wang
  19. Towards Fair Graph Learning without Demographic Information
    AISTATS 2025 ·
    Zichong Wang
    ,
    Nhat Hoang
    ,
    Xingyu Zhang
    ,
    Kevin Bello
    ,
    Xiangliang Zhang
    ,
    Sundararaja Sitharama Iyengar
    , Wenbin Zhang
  20. Towards Fairness with Limited Demographics via Disentangled Learning
    IJCAI 2025 ·
    Zichong Wang
    ,
    Anqi Wu
    ,
    Nuno Moniz
    ,
    Shu Hu
    ,
    Bart P. Knijnenburg
    ,
    Xingquan Zhu
    , Wenbin Zhang
  21. Uncertain Boundaries: A Tutorial on Copyright Challenges and Cross-Disciplinary Solutions for Generative AI
    CIKM 2025 ·
    Zhipeng Yin
    ,
    Zichong Wang
    ,
    Avash Palikhe
    , Wenbin Zhang
  22. fairGNN-WOD: Fair Graph Learning Without Complete Demographics
    IJCAI 2025 ·
    Zichong Wang
    ,
    Fang Liu
    ,
    Shimei Pan
    ,
    Jun Liu
    ,
    Fahad Saeed
    ,
    Meikang Qiu
    , Wenbin Zhang
  23. ℓ1, ∞ Mixed Norm Promoted Row Sparsity for Fast Online CUR Decomposition Learning in Varying Feature Spaces
    SDM 2025 ·
    Zhong Chen
    ,
    Yi He
    ,
    Di Wu
    , Wenbin Zhang,
    Zhiqiang Deng
  24. Accessible Health Screening Using Body Fat Estimation by Image Segmentation
    ICDM 2024 ·
    Zhipeng Yin
    ,
    Sameeksha Agarwal
    ,
    Ayesha Kashif
    ,
    Matthew Gonzalez
    ,
    Zichong Wang
    ,
    Suqing Liu
    ,
    Zhen Liu
    ,
    Yanzhao Wu
    ,
    Ian Stockwell
    ,
    Weifeng Xu
    ,
    Puqing Jiang
    ,
    Xingyu Zhang
    , Wenbin Zhang
  25. Advancing Graph Counterfactual Fairness Through Fair Representation Learning
    ECML-PKDD 2024 ·
    Zichong Wang
    ,
    Zhibo Chu
    ,
    Ronald Blanco
    ,
    Zhong Chen
    ,
    Shu-Ching Chen
    , Wenbin Zhang
  26. BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection
    IJCAI 2024 ·
    Saket S. Chaturvedi
    ,
    Lan Zhang
    , Wenbin Zhang,
    Pan He
    ,
    Xiaoyong Yuan
  27. Fairness in Large Language Models in Three Hours
    CIKM 2024 ·
    Thang Viet Doan
    ,
    Zichong Wang
    ,
    Nhat Nguyen Minh Hoang
    , Wenbin Zhang
  28. Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment
    AAAI 2024 · Wenbin Zhang
  29. FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
    ACSAC 2024 ·
    Youpeng Li
    ,
    Xinda Wang
    ,
    Fuxun Yu
    ,
    Lichao Sun
    , Wenbin Zhang,
    Xuyu Wang
  30. Group Fairness with Individual and Censorship Constraints
    ECAI 2024 ·
    Zichong Wang
    , Wenbin Zhang
  31. Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking
    ICSE 2024 ·
    Zhipeng Yin
    ,
    Zichong Wang
    , Wenbin Zhang
  32. Individual Fairness with Group Awareness Under Uncertainty
    ECML-PKDD 2024 ·
    Zichong Wang
    ,
    Jocelyn Dzuong
    ,
    Xiaoyong Yuan
    ,
    Zhong Chen
    ,
    Yanzhao Wu
    ,
    Xin Yao
    , Wenbin Zhang
  33. Individual Fairness with Group Constraints in Graph Neural Networks
    ECAI 2024 ·
    Zichong Wang
    ,
    David Ulloa
    ,
    Tongjia Yu
    ,
    Raju Rangaswami
    ,
    Roland H. C. Yap
    , Wenbin Zhang
  34. On the Efficiency of Privacy Attacks in Federated Learning
    CVPR 2024 ·
    Nawrin Tabassum
    ,
    Ka-Ho Chow
    ,
    Xuyu Wang
    , Wenbin Zhang,
    Yanzhao Wu
  35. Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice
    CIKM 2024 ·
    Eric Xu
    , Wenbin Zhang,
    Weifeng Xu