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Journal Articles
- 2024
[j2]Zichong Wang, Meikang Qiu, Min Chen, Malek Ben Salem, Xin Yao, Wenbin Zhang:
Toward fair graph neural networks via real counterfactual samples. Knowl. Inf. Syst. 66(11): 6617-6641 (2024)- [j1]Zhibo Chu, Zichong Wang, Wenbin Zhang:
Fairness in Large Language Models: A Taxonomic Survey. SIGKDD Explor. 26(1): 34-48 (2024)
Conference and Workshop Papers
- 2024
- [c10]Zichong Wang, Wenbin Zhang:
Group Fairness with Individual and Censorship Constraints. ECAI 2024: 906-913 - [c9]Zichong Wang, David Ulloa, Tongjia Yu, Raju Rangaswami, Roland Yap, Wenbin Zhang:
Individual Fairness with Group Constraints in Graph Neural Networks. ECAI 2024: 1704-1711 - [c8]Zhipeng Yin
, Zichong Wang, Wenbin Zhang:
Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking. ICSE Companion 2024: 420-421 - [c7]Zichong Wang, Zhibo Chu, Ronald Blanco, Zhong Chen, Shu-Ching Chen, Wenbin Zhang:
Advancing Graph Counterfactual Fairness Through Fair Representation Learning. ECML/PKDD (7) 2024: 40-58 - [c6]Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang:
Individual Fairness with Group Awareness Under Uncertainty. ECML/PKDD (5) 2024: 89-106 - 2023
- [c5]Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss:
Individual Fairness Under Uncertainty. ECAI 2023: 3042-3049 - [c4]Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Xuyu Wang, Albert Bifet, Wenbin Zhang:
Preventing Discriminatory Decision-making in Evolving Data Streams. FAccT 2023: 149-159 - [c3]Zichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang:
Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. ICDM 2023: 638-647 - [c2]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:
Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit. ICDM (Workshops) 2023: 1565-1574 - [c1]Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang:
FG2AN: Fairness-Aware Graph Generative Adversarial Networks. ECML/PKDD (2) 2023: 259-275
Informal and Other Publications
- 2024
- [i10]Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang:
History, Development, and Principles of Large Language Models-An Introductory Survey. CoRR abs/2402.06853 (2024) - [i9]Zhibo Chu, Zichong Wang, Wenbin Zhang:
Fairness in Large Language Models: A Taxonomic Survey. CoRR abs/2404.01349 (2024) - [i8]Jocelyn Dzuong, Zichong Wang, Wenbin Zhang:
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI. CoRR abs/2404.08221 (2024) - [i7]Thang Viet Doan, Zhibo Chu, Zichong Wang, Wenbin Zhang:
Fairness Definitions in Language Models Explained. CoRR abs/2407.18454 (2024) - [i6]Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy, Wenbin Zhang:
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications. CoRR abs/2407.18745 (2024) - [i5]Sribala Vidyadhari Chinta, Zichong Wang, Xingyu Zhang, Thang Doan Viet, Ayesha Kashif, Monique Antoinette Smith, Wenbin Zhang:
AI-Driven Healthcare: A Survey on Ensuring Fairness and Mitigating Bias. CoRR abs/2407.19655 (2024) - [i4]Thang Doan Viet, Zichong Wang, Minh Nhat Nguyen, Wenbin Zhang:
Fairness in Large Language Models in Three Hours. CoRR abs/2408.00992 (2024) - 2023
- [i3]Wenbin Zhang, Juyong Kim, Zichong Wang, Pradeep Ravikumar, Jeremy C. Weiss:
Individual Fairness Guarantee in Learning with Censorship. CoRR abs/2302.08015 (2023) - [i2]Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Albert Bifet, Wenbin Zhang:
Preventing Discriminatory Decision-making in Evolving Data Streams. CoRR abs/2302.08017 (2023) - [i1]Zichong Wang, Yang Zhou, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang:
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. CoRR abs/2302.08018 (2023)
Coauthor Index
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