Zichong Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
9
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GUIC: Certified Graph Unlearning with Individual Fairness Guarantees. | Zichong Wang, Tongliang Liu, Wenbin Zhang |
| 2026 | AAAI | Fair Graph Learning with Limited Sensitive Attribute Information. | Zichong Wang, Jie Yang, Jun Zhuang, Puqing Jiang, Mingzhe Chen, Ye Hu, Wenbin Zhang |
| 2025 | AAAI | Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness. | Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang |
| 2025 | AISTATS | Towards Fair Graph Learning without Demographic Information. | Zichong Wang, Nhat Hoang, Xingyu Zhang, Kevin Bello, Xiangliang Zhang, Sundararaja Sitharama Iyengar, Wenbin Zhang |
| 2025 | CIKM | Fairness in Language Models: A Tutorial. | Zichong Wang, Avash Palikhe, Zhipeng Yin, Wenbin Zhang |
| 2025 | CIKM | Uncertain Boundaries: A Tutorial on Copyright Challenges and Cross-Disciplinary Solutions for Generative AI. | Zhipeng Yin, Zichong Wang, Avash Palikhe, Wenbin Zhang |
| 2025 | ECAI | AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions. | Zichong Wang, Zhipeng Yin, Roland H. C. Yap, Wenbin Zhang |
| 2025 | ECAI | AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models. | Zhipeng Yin, Zichong Wang, Avash Palikhe, Zhen Liu, Jun Liu, Wenbin Zhang |
| 2025 | ICASSP | Unbalanced Co-relational Optimal Transport for Robust Heterogeneous Data Alignment. | Fengjiao Gong, Zichong Wang, Hongteng Xu |
| 2025 | ICML | FDGen: A Fairness-Aware Graph Generation Model. | Zichong Wang, Wenbin Zhang |
| 2025 | ICML | ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation. | Angxiao Yue, Zichong Wang, Hongteng Xu |
| 2025 | IJCAI | fairGNN-WOD: Fair Graph Learning Without Complete Demographics. | Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang |
| 2025 | IJCAI | Towards Fairness with Limited Demographics via Disentangled Learning. | Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang |
| 2024 | CIKM | Fairness in Large Language Models in Three Hours. | Thang Viet Doan, Zichong Wang, Nhat Nguyen Minh Hoang, Wenbin Zhang |
| 2024 | ECAI | Group Fairness with Individual and Censorship Constraints. | Zichong Wang, Wenbin Zhang |
| 2024 | ECAI | Individual Fairness with Group Constraints in Graph Neural Networks. | Zichong Wang, David Ulloa, Tongjia Yu, Raju Rangaswami, Roland H. C. Yap, Wenbin Zhang |
| 2024 | ICDM | Accessible Health Screening Using Body Fat Estimation by Image Segmentation. | Zhipeng Yin, Sameeksha Agarwal, Ayesha Kashif, Matthew Gonzalez, Zichong Wang, Suqing Liu, Zhen Liu, Yanzhao Wu, Ian Stockwell, Weifeng Xu, Puqing Jiang, Xingyu Zhang, Wenbin Zhang |
| 2024 | ICSE | Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking. | Zhipeng Yin, Zichong Wang, Wenbin Zhang |
| 2023 | ECAI | Individual Fairness Under Uncertainty. | Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss |
| 2023 | ICDM | 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 |
| 2023 | ICDM | Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. | Zichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang |