Publications

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

Zichong Wang, Zhipeng Yin, Avash Palikhe and Wenbin Zhang

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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

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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

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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

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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

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

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), 2025

Zichong Wang, Zhipeng Yin, Liping Yang, Jun Zhuang, Rui Yu, Qingzhao Kong 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

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

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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

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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

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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

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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

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