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Zichong Wang

Ph.D. Student
Knight Foundation
School of Computing and Information Sciences,

Florida International University

11200 SW 8th Street,
Miami, FL, 33199, USA




PUBLICATIONS

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

2024

History, Development, and Principles of Large Language Models-An Introductory Survey
Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang
In Preprint: arXiv preprint arXiv:2402.06853

2023

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 23rd IEEE International Conference on Data Mining (ICDM), Shanghai, China, 2023. (regular paper)
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
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
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
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