| Fairness in Large Language Models: A Taxonomic Survey Z Chu, Z Wang, W Zhang ACM SIGKDD Explorations Newsletter, 2024, 34 - 48, 2024 | 32 | 2024 |
| Towards fair machine learning software: Understanding and addressing model bias through counterfactual thinking Z Wang, Y Zhou, I Haque, D Lo, W Zhang arXiv preprint arXiv:2302.08018, 2023 | 32 | 2023 |
| History, Development, and Principles of Large Language Models-An Introductory Survey Z Wang, Z Chu, TV Doan, S Ni, M Yang, W Zhang AI and Ethics, 2024, 2024 | 30 | 2024 |
| Preventing Discriminatory Decision-making in Evolving Data Streams Z Wang, N Saxena, T Yu, S Karki, T Zetty, I Haque, S Zhou, D Kc, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 29 | 2023 |
| FG²AN: Fairness-Aware Graph Generative Adversarial Networks Z Wang, C Wallace, A Bifet, X Yao, W Zhang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 24 | 2023 |
| Individual Fairness under Uncertainty W Zhang, Z Wang, J Kim, C Cheng, T Oommen, P Ravikumar, J Weiss 26th European Conference on Artificial Intelligence, 3042-3049, 2023 | 23* | 2023 |
| Mitigating multisource biases in graph neural networks via real counterfactual samples Z Wang, G Narasimhan, X Yao, W Zhang 2023 IEEE International Conference on Data Mining (ICDM), 638-647, 2023 | 22 | 2023 |
| FairAIED: Navigating fairness, bias, and ethics in educational AI applications SV Chinta, Z Wang, Z Yin, N Hoang, M Gonzalez, TL Quy, W Zhang arXiv preprint arXiv:2407.18745, 2024 | 18 | 2024 |
| Toward Fair Graph Neural Networks via Real Counterfactual Samples Z Wang, M Qiu, M Chen, MB Salem, X Yao, W Zhang Knowledge and Information Systems, 1-25, 2024 | 16 | 2024 |
| Advancing Graph Counterfactual Fairness through Fair Representation Learning Z Wang, Z Chu, R Blanco, Z Chen, SC Chen, W Zhang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 12 | 2024 |
| Individual Fairness with Group Awareness Under Uncertainty Z Wang, J Dzuong, X Yuan, Z Chen, Y Wu, X Yao, W Zhang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 11 | 2024 |
| AI-Driven Healthcare: A Survey on Ensuring Fairness and Mitigating Bias SV Chinta, Z Wang, X Zhang, TD Viet, A Kashif, MA Smith, W Zhang arXiv preprint arXiv:2407.19655, 2024 | 10 | 2024 |
| Fairness in large language models in three hours TV Doan, Z Wang, NNM Hoang, W Zhang Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 8 | 2024 |
| Group Fairness with Individual and Censorship Constraints Z Wang, W Zhang 27th European Conference on Artificial Intelligence, 2024 | 8 | 2024 |
| Fairness definitions in language models explained TV Doan, Z Chu, Z Wang, W Zhang arXiv preprint arXiv:2407.18454, 2024 | 8 | 2024 |
| Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking Z Yin, Z Wang, W Zhang Proceedings of the 2024 IEEE/ACM 46th International Conference on Software …, 2024 | 8 | 2024 |
| Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI J Dzuong, Z Wang, W Zhang arXiv preprint arXiv:2404.08221, 2024 | 8 | 2024 |
| Individual Fairness with Group Constraints in Graph Neural Networks Z Wang, D Ulloa, T Yu, R Rangaswami, R Yap, W Zhang 27th European Conference on Artificial Intelligence, 2024 | 7 | 2024 |
| Optimization and improvement of fake news detection using voting technique for societal benefit SV Chinta, K Fernandes, N Cheng, J Fernandez, S Yazdani, Z Yin, ... 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1565-1574, 2023 | 7 | 2023 |
| Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness Z Wang, Z Chu, T Viet Doan, S Wang, Y Wu, V Palade, W Zhang proceedings of the AAAI conference on artificial intelligence, 2025 | 4* | 2025 |
Wenbin ZhangFlorida International UniversityZweryfikowany adres z fiu.edu