Zichong Wang

According to our database, Zichong Wang authored at least 22 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward fair graph neural networks via real counterfactual samples.

Zichong Wang, Meikang Qiu, Min Chen, Malek Ben Salem, Xin Yao, Wenbin Zhang

Knowl. Inf. Syst., November, 2024

Fairness in Large Language Models: A Taxonomic Survey.

Zhibo Chu, Zichong Wang, Wenbin Zhang

SIGKDD Explor., June, 2024

Fairness in Large Language Models in Three Hours.

Thang Doan Viet, Zichong Wang, Minh Nhat Nguyen, Wenbin Zhang

CoRR, 2024

AI-Driven Healthcare: A Survey on Ensuring Fairness and Mitigating Bias.

Sribala Vidyadhari Chinta, Zichong Wang, Xingyu Zhang, Thang Doan Viet, Ayesha Kashif, Monique Antoinette Smith, Wenbin Zhang

CoRR, 2024

FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications.

Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy, Wenbin Zhang

CoRR, 2024

Fairness Definitions in Language Models Explained.

Thang Viet Doan, Zhibo Chu, Zichong Wang, Wenbin Zhang

CoRR, 2024

Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI.

Jocelyn Dzuong, Zichong Wang, Wenbin Zhang

CoRR, 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

CoRR, 2024

Individual Fairness with Group Awareness Under Uncertainty.

Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Advancing Graph Counterfactual Fairness Through Fair Representation Learning.

Zichong Wang, Zhibo Chu, Ronald Blanco, Zhong Chen, Shu-Ching Chen, Wenbin Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking.

Zhipeng Yin, Zichong Wang, Wenbin Zhang

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Individual Fairness with Group Constraints in Graph Neural Networks.

Zichong Wang, David Ulloa, Tongjia Yu, Raju Rangaswami, Roland Yap, Wenbin Zhang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Group Fairness with Individual and Censorship Constraints.

Zichong Wang, Wenbin Zhang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Fairness in Large Language Models in Three Hours.

Thang Viet Doan, Zichong Wang, Nhat Nguyen Minh Hoang, Wenbin Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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, Wenbin Zhang

CoRR, 2023

Preventing Discriminatory Decision-making in Evolving Data Streams.

Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Albert Bifet, Wenbin Zhang

CoRR, 2023

Individual Fairness Guarantee in Learning with Censorship.

Wenbin Zhang, Juyong Kim, Zichong Wang, Pradeep Ravikumar, Jeremy C. Weiss

CoRR, 2023

FG²AN: Fairness-Aware Graph Generative Adversarial Networks.

Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples.

Zichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023

Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit.

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, Wenbin Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023

Preventing Discriminatory Decision-making in Evolving Data Streams.

Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Xuyu Wang, Albert Bifet, Wenbin Zhang

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Individual Fairness Under Uncertainty.

Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023