Individual Fairness Under Uncertainty. - Wenbin Zhang 002; Zichong Wang; Juyong Kim 002; Cheng Cheng 001; Thomas Oommen; Pradeep Ravikumar; Jeremy C. Weiss (ECAI, 2023)

Preventing Discriminatory Decision-making in Evolving Data Streams. - Zichong Wang; Nripsuta Saxena; Tongjia Yu; Sneha Karki; Tyler Zetty; Israat Haque 001; Shan Zhou; Dukka Kc; Ian Stockwell; Xuyu Wang; Albert Bifet; Wenbin Zhang 002 (FAccT, 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 075; Chong Siang Yew; Puqing Jiang; et al. (ICDM (Workshops), 2023)

Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. - Zichong Wang; Giri Narasimhan; Xin Yao; Wenbin Zhang 002 (ICDM, 2023)

FG2AN: Fairness-Aware Graph Generative Adversarial Networks. - Zichong Wang; Charles Wallace 001; Albert Bifet; Xin Yao; Wenbin Zhang 002 (ECML/PKDD (2), 2023)

Individual Fairness Guarantee in Learning with Censorship. - Wenbin Zhang 002; Juyong Kim 002; Zichong Wang; Pradeep Ravikumar; Jeremy C. Weiss (CoRR, 2023)

Preventing Discriminatory Decision-making in Evolving Data Streams. - Zichong Wang; Nripsuta Saxena; Tongjia Yu; Sneha Karki; Tyler Zetty; Israat Haque 001; Shan Zhou; Dukka Kc; Ian Stockwell; Albert Bifet; Wenbin Zhang 002 (CoRR, 2023)

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. - Zichong Wang; Yang Zhou 001; Meikang Qiu; Israat Haque 001; Laura Brown; Yi He 001; Jianwu Wang 001; David Lo 001; Wenbin Zhang 002 (CoRR, 2023)

Fairness in Large Language Models in Three Hours. - Thang Viet Doan; Zichong Wang; Nhat Nguyen Minh Hoang; Wenbin Zhang 002 (CIKM, 2024)

Group Fairness with Individual and Censorship Constraints. - Zichong Wang; Wenbin Zhang 002 (ECAI, 2024)

Individual Fairness with Group Constraints in Graph Neural Networks. - Zichong Wang; David Ulloa; Tongjia Yu; Raju Rangaswami; Roland Yap; Wenbin Zhang 002 (ECAI, 2024)

Accessible Health Screening Using Body Fat Estimation by Image Segmentation. - Zhipeng Yin; Sameeksha Agarwal; Ayesha Kashif; Matthew Gonzalez; Zichong Wang; Suqing Liu; Zhen Liu 017; Yanzhao Wu 001; Ian Stockwell; Weifeng Xu; Puqing Jiang; Xingyu Zhang; et al. (ICDM (Workshops), 2024)

Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking. - Zhipeng Yin; Zichong Wang; Wenbin Zhang 002 (ICSE Companion, 2024)

Advancing Graph Counterfactual Fairness Through Fair Representation Learning. - Zichong Wang; Zhibo Chu; Ronald Blanco; Zhong Chen 003; Shu-Ching Chen; Wenbin Zhang 002 (ECML/PKDD (7), 2024)

Individual Fairness with Group Awareness Under Uncertainty. - Zichong Wang; Jocelyn Dzuong; Xiaoyong Yuan; Zhong Chen 003; Yanzhao Wu 001; Xin Yao; Wenbin Zhang 002 (ECML/PKDD (5), 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 001; Min Yang 007; Wenbin Zhang 002 (CoRR, 2024)

Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI. - Jocelyn Dzuong; Zichong Wang; Wenbin Zhang 002 (CoRR, 2024)

Fairness Definitions in Language Models Explained. - Thang Viet Doan; Zhibo Chu; Zichong Wang; Wenbin Zhang 002 (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 002 (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 002 (CoRR, 2024)

Fairness in Large Language Models in Three Hours. - Thang Doan Viet; Zichong Wang; Minh Nhat Nguyen; Wenbin Zhang 002 (CoRR, 2024)

Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL. - Zhibo Chu; Zichong Wang; Qitao Qin (CoRR, 2024)

Fairness in Large Language Models: A Taxonomic Survey. - Zhibo Chu; Zichong Wang; Wenbin Zhang 002 (SIGKDD Explor., 2024)

Toward fair graph neural networks via real counterfactual samples. - Zichong Wang; Meikang Qiu; Min Chen 003; Malek Ben Salem; Xin Yao; Wenbin Zhang 002 (Knowl. Inf. Syst., 2024)

Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges. - Zichong Wang; Zhipeng Yin; Yuying Zhang; Liping Yang 002; Tingting Zhang; Niki Pissinou; Yu Cai 002; Shu Hu 001; Yun Li 005; Liang Zhao 002; Wenbin Zhang 002 (SIGKDD Explor., 2024)

FG-SMOTE: Towards Fair Node Classification with Graph Neural Network. - Zichong Wang; Zhipeng Yin; Yuying Zhang; Liping Yang 002; Tingting Zhang; Niki Pissinou; Yu Cai 002; Shu Hu 001; Yun Li 005; Liang Zhao 002; Wenbin Zhang 002 (SIGKDD Explor., 2024)

Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness. - Zichong Wang; Zhibo Chu; Thang Viet Doan; Shaowei Wang 002; Yongkai Wu; Vasile Palade; Wenbin Zhang 002 (AAAI, 2025)

Towards Fair Graph Learning without Demographic Information. - Zichong Wang; Nhat Hoang; Xingyu Zhang; Kevin Bello; Xiangliang Zhang 001; Sundararaja Sitharama Iyengar; Wenbin Zhang 002 (AISTATS, 2025)

Unbalanced Co-relational Optimal Transport for Robust Heterogeneous Data Alignment. - Fengjiao Gong; Zichong Wang; Hongteng Xu (ICASSP, 2025)

ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation. - Angxiao Yue; Zichong Wang; Hongteng Xu (CoRR, 2025)

Digital Forensics in the Age of Large Language Models. - Zhipeng Yin; Zichong Wang; Weifeng Xu; Jun Zhuang; Pallab Mozumder; Antoinette Smith; Wenbin Zhang 002 (CoRR, 2025)

History, development, and principles of large language models: an introductory survey. - Zichong Wang; Zhibo Chu; Thang Viet Doan; Shiwen Ni; Min Yang 007; Wenbin Zhang 002 (AI Ethics, 2025)

Towards Transparent AI: A Survey on Explainable Large Language Models. - Avash Palikhe; Zhenyu Yu; Zichong Wang; Wenbin Zhang 002 (CoRR, 2025)

Datasets for Fairness in Language Models: An In-Depth Survey. - Jiale Zhang; Zichong Wang; Avash Palikhe; Zhipeng Yin; Wenbin Zhang (CoRR, 2025)

Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification. - Jintao Qu; Zichong Wang; Chenhao Wu; Wenbin Zhang (CoRR, 2025)