Managing and mining graph data Editors-Aggarwal, Wang, Contributors-Chakrabarti, Faloutsos, McGlohon, ... Springer, 2010 | 1010* | 2010 |
Randomizing social networks: a spectrum preserving approach X Ying, X Wu proceedings of the 2008 SIAM International Conference on Data Mining, 739-750, 2008 | 436 | 2008 |
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 | 327 | 2018 |
Differential privacy preservation for deep auto-encoders: an application of human behavior prediction NH Phan, Y Wang, X Wu, D Dou Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 292 | 2016 |
Adaptive laplace mechanism: Differential privacy preservation in deep learning NH Phan, X Wu, H Hu, D Dou 2017 IEEE international conference on data mining (ICDM), 385-394, 2017 | 221 | 2017 |
Logbert: Log anomaly detection via bert H Guo, S Yuan, X Wu 2021 international joint conference on neural networks (IJCNN), 1-8, 2021 | 210 | 2021 |
A causal framework for discovering and removing direct and indirect discrimination L Zhang, Y Wu, X Wu arXiv preprint arXiv:1611.07509, 2016 | 204 | 2016 |
A Survey of Privacy-Preservation of Graphs and Social Networks X Wu, X Ying, K Liu, L Chen Managing and Mining Graph Data, 421-453, 2010 | 192 | 2010 |
Deep learning for insider threat detection: Review, challenges and opportunities S Yuan, X Wu Computers & Security 104, 102221, 2021 | 177 | 2021 |
One-class adversarial nets for fraud detection P Zheng, S Yuan, X Wu, J Li, A Lu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1286-1293, 2019 | 176 | 2019 |
Using Randomized Response for Differential Privacy Preserving Data Collection Y Wang, X Wu, D Hu Proceedings of the 9th International Workshop on Privacy and Anonymity in …, 2016 | 175 | 2016 |
On link privacy in randomizing social networks X Ying, X Wu Knowledge and information systems 28, 645-663, 2011 | 146 | 2011 |
Preserving differential privacy in degree-correlation based graph generation Y Wang, X Wu Transactions on data privacy 6 (2), 127, 2013 | 145 | 2013 |
SNE: signed network embedding S Yuan, X Wu, Y Xiang Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 140 | 2017 |
Differential privacy preserving spectral graph analysis Y Wang, X Wu, L Wu Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013 | 133 | 2013 |
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 | 125 | 2019 |
Fairness-aware agnostic federated learning W Du, D Xu, X Wu, H Tong Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 119 | 2021 |
Counterfactual fairness: Unidentification, bound and algorithm Y Wu, L Zhang, X Wu Proceedings of the twenty-eighth international joint conference on …, 2019 | 113 | 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 | 103 | 2019 |
Preserving differential privacy in convolutional deep belief networks NH Phan, X Wu, D Dou Machine learning 106 (9), 1681-1704, 2017 | 99 | 2017 |