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Lu Zhang
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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
1632018
A causal framework for discovering and removing direct and indirect discrimination
L Zhang, Y Wu, X Wu
arXiv preprint arXiv:1611.07509, 2016
1192016
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
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
442019
Anti-discrimination learning: a causal modeling-based framework
L Zhang, X Wu
International Journal of Data Science and Analytics 4 (1), 1-16, 2017
432017
Situation Testing-Based Discrimination Discovery: A Causal Inference Approach.
L Zhang, Y Wu, X Wu
IJCAI 16, 2718-2724, 2016
412016
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
372019
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
332018
On convexity and bounds of fairness-aware classification
Y Wu, L Zhang, X Wu
The World Wide Web Conference, 3356-3362, 2019
312019
Optimizing client assignment for enhancing interactivity in distributed interactive applications
L Zhang, X Tang
IEEE/ACM Transactions on Networking 20 (6), 1707-1720, 2012
292012
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
272013
Client assignment for improving interactivity in distributed interactive applications
L Zhang, X Tang
2011 Proceedings IEEE INFOCOM, 3227-3235, 2011
272011
Achieving non-discrimination in prediction
L Zhang, Y Wu, X Wu
arXiv preprint arXiv:1703.00060, 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 Huan, Y Wu, L Zhang, X Wu
Companion Proceedings of the Web Conference 2020, 743-751, 2020
192020
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
192019
On discrimination discovery using causal networks
L Zhang, Y Wu, X Wu
International Conference on Social Computing, Behavioral-Cultural Modeling …, 2016
142016
Fairness-aware classification: Criterion, convexity, and bounds
Y Wu, L Zhang, X Wu
arXiv preprint arXiv:1809.04737, 2018
122018
Bayesian network construction and genotype-phenotype inference using GWAS statistics
L Zhang, Q Pan, Y Wang, X Wu, X Shi
IEEE/ACM transactions on computational biology and bioinformatics 16 (2 …, 2017
122017
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