| A causal framework for discovering and removing direct and indirect discrimination L Zhang, Y Wu, X Wu IJCAI 2017, 2017 | 120 | 2017 |
| Pc-fairness: A unified framework for measuring causality-based fairness Y Wu, L Zhang, X Wu, H Tong Advances in Neural Information Processing Systems 32, 2019 | 60 | 2019 |
| Achieving non-discrimination in data release L Zhang, Y Wu, X Wu Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 47 | 2017 |
| Counterfactual Fairness: Unidentification, Bound and Algorithm Y Wu, L Zhang, X Wu IJCAI 2019, 1438-1444, 2019 | 45 | 2019 |
| On convexity and bounds of fairness-aware classification Y Wu, L Zhang, X Wu The World Wide Web Conference, 3356-3362, 2019 | 43* | 2019 |
| Situation Testing-Based Discrimination Discovery: A Causal Inference Approach. L Zhang, Y Wu, X Wu IJCAI 16, 2718-2724, 2016 | 42 | 2016 |
| Achieving Causal Fairness through Generative Adversarial Networks D Xu, Y Wu, S Yuan, L Zhang, X Wu IJCAI 2019, 1452-1458, 2019 | 38 | 2019 |
| On discrimination discovery and removal in ranked data using causal graph Y Wu, L Zhang, X Wu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 34 | 2018 |
| Achieving non-discrimination in prediction L Zhang, Y Wu, X Wu IJCAI 2018, 2017 | 26 | 2017 |
| Causal modeling-based discrimination discovery and removal: criteria, bounds, and algorithms L Zhang, Y Wu, X Wu IEEE Transactions on Knowledge and Data Engineering 31 (11), 2035-2050, 2018 | 22 | 2018 |
| Fairness through equality of effort W Huang, Y Wu, L Zhang, X Wu Companion Proceedings of the Web Conference 2020, 743-751, 2020 | 19 | 2020 |
| Using loglinear model for discrimination discovery and prevention Y Wu, X Wu 2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016 | 15 | 2016 |
| On discrimination discovery using causal networks L Zhang, Y Wu, X Wu International Conference on Social Computing, Behavioral-Cultural Modeling …, 2016 | 14 | 2016 |
| Fair multiple decision making through soft interventions Y Hu, Y Wu, L Zhang, X Wu Advances in Neural Information Processing Systems 33, 17965-17975, 2020 | 8 | 2020 |
| A generative adversarial framework for bounding confounded causal effects Y Hu, Y Wu, L Zhang, X Wu Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 12104 …, 2021 | 5 | 2021 |
| Dpweka: Achieving differential privacy in weka S Katla, D Xu, Y Wu, Q Pan, X Wu 2017 IEEE Symposium on Privacy-Aware Computing (PAC), 184-185, 2017 | 4 | 2017 |
| Multi-cause discrimination analysis using potential outcomes W Huang, Y Wu, X Wu International Conference on Social Computing, Behavioral-Cultural Modeling …, 2020 | 1 | 2020 |
| Achieving Causal Fairness in Machine Learning Y Wu University of Arkansas, 2020 | 1 | 2020 |
| Anti-Discrimination Learning L Zhang, Y Wu, X Wu KDD 2018 tutorial, 2018 | | 2018 |
Xintao WuUniversity of ArkansasVerified email at uark.edu
