PUBLICATIONS

For a full list of publications, visit my Google Scholar page.

Tutorial

2024

1. Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI
   Archer Amon, Zichong Wang, Zhipeng Yin and Wenbin Zhang
   IEEE International Conference on Data Mining (ICDM), Abu Dhabi, UAE, 2024
   
   
2. Fairness in Large Language Models in Three Hours
   Thang Viet Doan, Zichong Wang, Minh Nhat Nguyen and Wenbin Zhang
   Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), Boise, USA, 2024
   
   

Conferences/Journals

2024

1. History, Development, and Principles of Large Language Models-An Introductory Survey
   Zichong Wang, Zhibo Chu, Thang Viet Doan, Shiwen Ni, Min Yang and Wenbin Zhang
   AI and Ethics, 2024
   
   
2. Group Fairness with Individual and Censorship Constraints
   Zichong Wang and Wenbin Zhang
   Proceedings of the European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain, 2024
   
   
3. Individual Fairness with Group Constraints in Graph Neural Networks
   Zichong Wang, David Ulloa, Tongjia Yu, Raju Rangaswami, Roland Yap and Wenbin Zhang
   Proceedings of the European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain, 2024
   
   
4. Towards Fair Graph Neural Networks via Real Counterfactual Samples
   Zichong Wang, Meikang Qiu, Min Chen, Malek Ben Salem, Xin Yao and Wenbin Zhang
   Knowledge and Information Systems (KAIS), 2024
   
   
5. Fairness in Large Language Models: A Taxonomic Survey
   Zhibo Chu, Zichong Wang and Wenbin Zhang
   ACM SIGKDD Explorations Newsletter, 2024
   
   
6. Advancing Graph Counterfactual Fairness through Fair Representation Learning
   Zichong Wang, Zhibo Chu, Ronald Blanco, Zhong Chen, Shu-Ching Chen and Wenbin Zhang
   Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Vilnius, Lithuania, 2024
   
   
7. Individual Fairness with Group Awareness under Uncertainty
   Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao and Wenbin Zhang
   Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Vilnius, Lithuania, 2024
   
   
8. Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking
   Zhipeng Yin, Zichong Wang and Wenbin Zhang
   Companion Proceedings of the IEEE/ACM 46^th International Conference on Software Engineering (ICSE), Lisbon, Portugal, 2024
   
   

2023

1. Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples
   Best Paper Award Candidate
   Zichong Wang, Giri Narasimhan, Xin Yao and Wenbin Zhang
   Proceedings of the 23^rd IEEE International Conference on Data Mining (ICDM), Shanghai, China, 2023. (regular paper)
   
   
2. FG²AN: Fairness-aware Graph Generative Adversarial Networks
   Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao and Wenbin Zhang
   Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Turin, Italy, 2023
   
   
3. Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
   Zichong Wang, Yang Zhou, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo and Wenbin Zhang
   In Preprint: arXiv preprint arXiv:2302.08018
   
   
4. Individual Fairness under Uncertainty
   Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar and Jeremy Weiss
   Proceedings of the European Conference on Artificial Intelligence (ECAI), Kraków, Poland, 2023
   
   
5. Preventing Discriminatory Decision-making in Evolving Data Stream
   Best Paper Award
   Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Xuyu Wang, Albert Bifet and Wenbin Zhang
   Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT), Chicago, USA, 2023