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publications
FairAIED: Navigating fairness, bias, and ethics in educational AI applications
Published in arXiv:2407.18745, 2024
Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy and Wenbin Zhang
Computational Foundations of Copyright in Generative AI
Published in 2024 IEEE International Conference on Data Mining (ICDM), 2024
Archer Amon, Zichong Wang, Zhipeng Yin and Wenbin Zhang
Improving fairness in machine learning software via counterfactual fairness thinking
Published in 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), 2024
Zhipeng Yin, Zichong Wang and Wenbin Zhang
FG-SMOTE: Towards Fair Node Classification with Graph Neural Network
Published in ACM SIGKDD Explorations Newsletter, 2025
Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao and Wenbin Zhang
Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges
Published in ACM SIGKDD Explorations Newsletter, 2025
Zichong Wang, Zhipeng Yin, Fang Liu, Zhen Liu, Christine Lisetti, Rui Yu, Shaowei Wang, Jun Liu, Sukumar Ganapati, Shuigeng Zhou and Wenbin Zhang
Digital Forensics in the Age of Large Language Models
Published in arXiv:2504.02963, 2025
Zhipeng Yin, Zichong Wang, Weifeng Xu, Jun Zhuang, Pallab Mozumder, Antoinette Smith and Wenbin Zhang
Fairness in Large Language Models: A Tutorial
Published in The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025
Zichong Wang, Avash Palikhe, Zhipeng Yin, Jiale Zhang and Wenbin Zhang
Redefining Fairness: A Multi-dimensional Perspective and Integrated Evaluation Framework
Published in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2025
Zichong Wang, Zhipeng Yin, Zhen Liu, Roland Yap, Xiaocai Zhang, Shu Hu and Wenbin Zhang
Fairness-Aware Graph Representation Learning with Limited Demographic Information
Published in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) (Best student paper award), 2025
Zichong Wang, Zhipeng Yin, Liping Yang, Jun Zhuang, Rui Yu, Qingzhao Kong and Wenbin Zhang
Fairness in Large Language Models: A Tutorial
Published in The ACM International Conference on Information and Knowledge Management (CIKM), 2025
Zichong Wang, Zhipeng Yin, Avash Palikhe and Wenbin Zhang
Uncertain Boundaries: A Tutorial on Copyright Challenges and Cross-Disciplinary Solutions for Generative AI
Published in The ACM International Conference on Information and Knowledge Management (CIKM), 2025
Zhipeng Yin, Zichong Wang, Avash Palikhe and Wenbin Zhang
Towards fair graph-based machine learning software: unveiling and mitigating graph model bias
Published in Journal of AI and Ethics, 2025
Zichong Wang, Zhipeng Yin, Xingyu Zhang, Yuying Zhang, Xudong He, Shaowei Wang, Houbing Song, Liping Yang and Wenbin Zhang
AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
Published in European Conference on Artificial Intelligence (ECAI), 2025
Zichong Wang, Zhipeng Yin, Roland Yap and Wenbin Zhang
AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
Published in European Conference on Artificial Intelligence (ECAI), 2025
Zhipeng Yin, Zichong Wang, Avash Palikhe, Zhen Liu, Jun Liu and Wenbin Zhang
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI
Published in ACM SIGKDD Explorations Newsletter, 2025
Archer Amon, Zhipeng Yin, Zichong Wang, Avash Palikhe, Tongjia Yu and Wenbin Zhang
teaching
CEN4072 Fundamental Software Testing
Teaching assistant, Summer, 2024
CEN3721 Intro Human-Comp Interaction
Teaching assistant, Summer, 2024
CEN4072 Fundamental Software Testing
Teaching assistant, Fall, 2024