Zichong Wang

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 16

Top Topics

Language Models For Information Retrieval

Language Modelling

Evolving Data Streams

Top Venues

Publications

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 (2024)
Thang Viet Doan, Zhibo Chu, Zichong Wang, Wenbin Zhang
Fairness Definitions in Language Models Explained. CoRR (2024)
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 (2024)
Jocelyn Dzuong, Zichong Wang, Wenbin Zhang
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI. CoRR (2024)
Zhipeng Yin, Zichong Wang, Wenbin Zhang
Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking. ICSE Companion (2024)
Zhibo Chu, Zichong Wang, Wenbin Zhang
Fairness in Large Language Models: A Taxonomic Survey. SIGKDD Explor. 26 (1) (2024)
Zhibo Chu, Zichong Wang, Wenbin Zhang
Fairness in Large Language Models: A Taxonomic Survey. CoRR (2024)
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 (2024)
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 (2023)
Zichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang
Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. ICDM (2023)
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)
Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss
Individual Fairness Under Uncertainty. ECAI (2023)
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)
Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang
AN: Fairness-Aware Graph Generative Adversarial Networks. ECML/PKDD (2) (2023)
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 (2023)
Wenbin Zhang, Juyong Kim, Zichong Wang, Pradeep Ravikumar, Jeremy C. Weiss
Individual Fairness Guarantee in Learning with Censorship. CoRR (2023)