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Yongkai Wu
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Cited by
Year
A causal framework for discovering and removing direct and indirect discrimination
L Zhang, Y Wu, X Wu
IJCAI 2017, 2017
1202017
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
602019
Achieving non-discrimination in data release
L Zhang, Y Wu, X Wu
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
472017
Counterfactual Fairness: Unidentification, Bound and Algorithm
Y Wu, L Zhang, X Wu
IJCAI 2019, 1438-1444, 2019
452019
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
422016
Achieving Causal Fairness through Generative Adversarial Networks
D Xu, Y Wu, S Yuan, L Zhang, X Wu
IJCAI 2019, 1452-1458, 2019
382019
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
342018
Achieving non-discrimination in prediction
L Zhang, Y Wu, X Wu
IJCAI 2018, 2017
262017
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
222018
Fairness through equality of effort
W Huang, Y Wu, L Zhang, X Wu
Companion Proceedings of the Web Conference 2020, 743-751, 2020
192020
Using loglinear model for discrimination discovery and prevention
Y Wu, X Wu
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
152016
On discrimination discovery using causal networks
L Zhang, Y Wu, X Wu
International Conference on Social Computing, Behavioral-Cultural Modeling …, 2016
142016
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
82020
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
52021
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
42017
Multi-cause discrimination analysis using potential outcomes
W Huang, Y Wu, X Wu
International Conference on Social Computing, Behavioral-Cultural Modeling …, 2020
12020
Achieving Causal Fairness in Machine Learning
Y Wu
University of Arkansas, 2020
12020
Anti-Discrimination Learning
L Zhang, Y Wu, X Wu
KDD 2018 tutorial, 2018
2018
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Articles 1–19