PPaperPicks

Wenbin Zhang

Florida International University, Miami, FL, USA

33 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

AAAI ×6ECML-PKDD ×5CIKM ×4ECAI ×4IJCAI ×3ACL ×2ICDM ×2ICML ×2AISTATS ×1CVPR ×1EMNLP ×1NeurIPS ×1SDM ×1

Frequent coauthors

Zichong Wang
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Zhipeng Yin
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Hao Wu
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Gang Cheng
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Xiaocai Zhang
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Jintao Qu
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Jun Zhuang
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Junping Liu
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Mingyang Wu
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Jun Liu
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Zhong Chen
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Saket S. Chaturvedi
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Papers

  1. FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted Reasoner
    ACL 2026 ·
    Hao Wu
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  2. Fair Graph Learning with Limited Sensitive Attribute Information
    AAAI 2026 ·
    Zichong Wang
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  3. GUIC: Certified Graph Unlearning with Individual Fairness Guarantees
    AAAI 2026 ·
    Zichong Wang
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  4. Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain
    ACL 2026 ·
    Gang Cheng
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  5. Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation
    AAAI 2026 ·
    Xiaocai Zhang
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  6. A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances
    NeurIPS 2025 ·
    Zichong Wang
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  7. AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
    ECAI 2025 ·
    Zichong Wang
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  8. AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
    ECAI 2025 ·
    Zhipeng Yin
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  9. Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification
    ECML-PKDD 2025 ·
    Jintao Qu
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  10. Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
    EMNLP 2025 ·
    Jun Zhuang
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  11. FDGen: A Fairness-Aware Graph Generation Model
    ICML 2025 ·
    Zichong Wang
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  12. Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness
    AAAI 2025 ·
    Zichong Wang
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  13. Fairness in Language Models: A Tutorial
    CIKM 2025 ·
    Zichong Wang
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  14. Fairness-Aware Graph Representation Learning with Limited Demographic Information
    ECML-PKDD 2025 ·
    Zichong Wang
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  15. Negative-Free Graph Contrastive Learning for Recommendation
    ICDM 2025 ·
    Junping Liu
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  16. Preserving AUC Fairness in Learning with Noisy Protected Groups
    ICML 2025 ·
    Mingyang Wu
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  17. Redefining Fairness: A Multi-dimensional Perspective and Integrated Evaluation Framework
    ECML-PKDD 2025 ·
    Zichong Wang
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  18. Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
    AAAI 2025 ·
    Jun Liu
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  19. Towards Fair Graph Learning without Demographic Information
    AISTATS 2025 ·
    Zichong Wang
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  20. Towards Fairness with Limited Demographics via Disentangled Learning
    IJCAI 2025 ·
    Zichong Wang
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  21. Uncertain Boundaries: A Tutorial on Copyright Challenges and Cross-Disciplinary Solutions for Generative AI
    CIKM 2025 ·
    Zhipeng Yin
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  22. fairGNN-WOD: Fair Graph Learning Without Complete Demographics
    IJCAI 2025 ·
    Zichong Wang
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  23. ℓ1, ∞ Mixed Norm Promoted Row Sparsity for Fast Online CUR Decomposition Learning in Varying Feature Spaces
    SDM 2025 ·
    Zhong Chen
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  24. Accessible Health Screening Using Body Fat Estimation by Image Segmentation
    ICDM 2024 ·
    Zhipeng Yin
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  25. Advancing Graph Counterfactual Fairness Through Fair Representation Learning
    ECML-PKDD 2024 ·
    Zichong Wang
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  26. BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection
    IJCAI 2024 ·
    Saket S. Chaturvedi
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  27. Fairness in Large Language Models in Three Hours
    CIKM 2024 ·
    Thang Viet Doan
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  28. Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment
    AAAI 2024 · Wenbin Zhang
  29. Group Fairness with Individual and Censorship Constraints
    ECAI 2024 ·
    Zichong Wang
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  30. Individual Fairness with Group Awareness Under Uncertainty
    ECML-PKDD 2024 ·
    Zichong Wang
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  31. Individual Fairness with Group Constraints in Graph Neural Networks
    ECAI 2024 ·
    Zichong Wang
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  32. On the Efficiency of Privacy Attacks in Federated Learning
    CVPR 2024 ·
    Nawrin Tabassum
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  33. Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice
    CIKM 2024 ·
    Eric Xu
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