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
Publications
You can also find my articles on my Google Scholar profile.
Tutorials
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI
Published in 2024 IEEE International Conference on Data Mining (ICDM), 2024
Archer Amon, Zichong Wang, Zhipeng Yin and Wenbin Zhang
Conference/Journal Papers
Fairness-Aware Graph Representation Learning Without Complete 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
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
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
Accessible Health Screening Using Body Fat Estimation by Image Segmentation
Published in 2024 IEEE International Conference on Data Mining Workshops (ICDMW), 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 and Wenbin Zhang
Optimization and improvement of fake news detection using voting technique for societal benefit
Published in 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023
Sribala Vidyadhari Chinta, Karen Fernandes, Ningxi Cheng, Jordan Fernandez, Shamim Yazdani, Zhipeng Yin, Zichong Wang, Xuyu Wang, Weifeng Xu, Jun Liu, Chong Siang Yew, Puqing Jiang and Wenbin Zhang
Preprints
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
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