Xintao Wu

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Shuhan YuanUtah State UniversityVerified email at usu.edu
Lu ZhangUniversity of ArkansasVerified email at uark.edu
Yongkai WuClemson UniversityVerified email at clemson.edu
Xiaowei YingPandora MediaVerified email at ups.com
Depeng XuUniversity of North Carolina at CharlotteVerified email at charlotte.edu
Yue WangFacebook, Inc ;AcuSys, Inc; University of North Carolina at CharlotteVerified email at fb.com
Aidong LuUniversity of North Carolina at CharlotteVerified email at uncc.edu
Daniel BarbaraProfessor of Computer Science, George Mason UniversityVerified email at gmu.edu
NhatHai PhanAssociate Professor, New Jersey Institute of TechnologyVerified email at njit.edu
Wei DuResearch Scientist, NVIDIAVerified email at nvidia.com
Yingjiu LiRipple Professor, Computer Science Department, University of OregonVerified email at uoregon.edu
Dejing Dou (窦德景）Distinguished Professor, Fudan University/Chief Scientist, BEDI CloudVerified email at cs.uoregon.edu
Panpan ZhengXinjiang University, Associate ProfessorVerified email at xju.edu.cn
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Wen HuangPhD student of Computer Science, University of ArkansasVerified email at uark.edu
Feng ChenDepartment of Computer Science, UT DallasVerified email at utdallas.edu
Yongge WangUNC CharlotteVerified email at uncc.edu
Tao XiePeking University Chair Professor, Chair of Department of Software Science and Engineering@PKUVerified email at pku.edu.cn
Minh-Hao VanUniversity of ArkansasVerified email at uark.edu
Alycia N. CareyDistinguished Doctoral Fellow, University of ArkansasVerified email at uark.edu

Xintao Wu

University of Arkansas

Verified email at uark.edu - Homepage

Data Mining Privacy and Security Fairness Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Managing and mining graph data Editors-Aggarwal, Wang, Contributors-Chakrabarti, Faloutsos, McGlohon, ... Springer, 2010	1036*	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	443	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	369	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	305	2016
Logbert: Log anomaly detection via bert H Guo, S Yuan, X Wu 2021 international joint conference on neural networks (IJCNN), 1-8, 2021	278	2021
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	237	2017
Deep learning for insider threat detection: Review, challenges and opportunities S Yuan, X Wu Computers & Security 104, 102221, 2021	236	2021
A causal framework for discovering and removing direct and indirect discrimination L Zhang, Y Wu, X Wu arXiv preprint arXiv:1611.07509, 2016	222	2016
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	195	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	193	2010
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	191	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	152	2021
SNE: signed network embedding S Yuan, X Wu, Y Xiang Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017	151	2017
Preserving differential privacy in degree-correlation based graph generation Y Wang, X Wu Transactions on data privacy 6 (2), 127, 2013	149	2013
On link privacy in randomizing social networks X Ying, X Wu Knowledge and information systems 28, 645-663, 2011	147	2011
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	143	2019
Differential privacy preserving spectral graph analysis Y Wang, X Wu, L Wu Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013	135	2013
Counterfactual fairness: Unidentification, bound and algorithm Y Wu, L Zhang, X Wu Proceedings of the twenty-eighth international joint conference on …, 2019	131	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	114	2019
Comparisons of randomization and k-degree anonymization schemes for privacy preserving social network publishing X Ying, K Pan, X Wu, L Guo Proceedings of the 3rd workshop on social network mining and analysis, 1-10, 2009	102	2009

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