Fairgan: Fairness-aware generative adversarial networks D Xu, S Yuan, L Zhang, X Wu 2018 IEEE international conference on big data (big data), 570-575, 2018 | 319 | 2018 |
A causal framework for discovering and removing direct and indirect discrimination L Zhang, Y Wu, X Wu arXiv preprint arXiv:1611.07509, 2016 | 195 | 2016 |
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 | 122 | 2019 |
Counterfactual fairness: Unidentification, bound and algorithm Y Wu, L Zhang, X Wu Proceedings of the twenty-eighth international joint conference on …, 2019 | 109 | 2019 |
Achieving causal fairness through generative adversarial networks D Xu, Y Wu, S Yuan, L Zhang, X Wu Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 102 | 2019 |
Achieving non-discrimination in data release L Zhang, Y Wu, X Wu Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 75 | 2017 |
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 | 63 | 2018 |
Anti-discrimination learning: a causal modeling-based framework L Zhang, X Wu International Journal of Data Science and Analytics 4, 1-16, 2017 | 60 | 2017 |
Situation Testing-Based Discrimination Discovery: A Causal Inference Approach. L Zhang, Y Wu, X Wu IJCAI 16, 2718-2724, 2016 | 58 | 2016 |
On convexity and bounds of fairness-aware classification Y Wu, L Zhang, X Wu The World Wide Web Conference, 3356-3362, 2019 | 57 | 2019 |
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 | 54 | 2018 |
FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets D Xu, S Yuan, L Zhang, X Wu 2019 IEEE international conference on big data (Big Data), 1401-1406, 2019 | 50 | 2019 |
Fairness through equality of effort W Huan, Y Wu, L Zhang, X Wu Companion Proceedings of the Web Conference 2020, 743-751, 2020 | 41 | 2020 |
Achieving non-discrimination in prediction L Zhang, Y Wu, X Wu arXiv preprint arXiv:1703.00060, 2017 | 41 | 2017 |
The client assignment problem for continuous distributed interactive applications: Analysis, algorithms, and evaluation L Zhang, X Tang IEEE Transactions on Parallel and Distributed Systems 25 (3), 785-795, 2013 | 29 | 2013 |
Optimizing client assignment for enhancing interactivity in distributed interactive applications L Zhang, X Tang IEEE/ACM Transactions on Networking 20 (6), 1707-1720, 2012 | 29 | 2012 |
Client assignment for improving interactivity in distributed interactive applications L Zhang, X Tang 2011 Proceedings IEEE INFOCOM, 3227-3235, 2011 | 28 | 2011 |
On discrimination discovery using causal networks L Zhang, Y Wu, X Wu Social, Cultural, and Behavioral Modeling: 9th International Conference, SBP …, 2016 | 24 | 2016 |
Achieving counterfactual fairness for causal bandit W Huang, L Zhang, X Wu Proceedings of the AAAI conference on artificial intelligence 36 (6), 6952-6959, 2022 | 21 | 2022 |
Fairness-aware classification: Criterion, convexity, and bounds Y Wu, L Zhang, X Wu arXiv preprint arXiv:1809.04737, 2018 | 21 | 2018 |