Xintao Wu

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Shuhan YuanUtah State UniversityVerified email at usu.edu
Lu ZhangUniversity of ArkansasVerified email at uark.edu
Xiaowei YingPandora MediaVerified email at ups.com
Yongkai WuClemson UniversityVerified email at clemson.edu
Depeng XuUniversity of North Carolina at CharlotteVerified email at uncc.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
Yingjiu LiRipple Professor, Computer Science Department, University of OregonVerified email at uoregon.edu
NhatHai PhanAssistant Professor, New Jersey Institute of TechnologyVerified email at njit.edu
Wei DuApplied ScientistVerified email at qualtrics.com
Dejing DouBCG X, Baidu Research, University of Oregon, YaleVerified email at cs.uoregon.edu
Panpan ZhengAmazonVerified email at amazon.com
Yongge WangUNC CharlotteVerified email at uncc.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Tao XiePeking University Chair Professor, Chair of Department of Software Science and Engineering@PKUVerified email at pku.edu.cn
Xinghua (Mindy) ShiTemple UniversityVerified email at temple.edu
Donghui HUCollege of Computer Science and Information Engineering, Hefei University of Technology, ChinaVerified email at hfut.edu.cn
Wen HuangPhD student of Computer Science, University of ArkansasVerified email at uark.edu
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn

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	977*	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	419	2008
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	253	2016
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	224	2018
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	184	2010
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	176	2017
A causal framework for discovering and removing direct and indirect discrimination L Zhang, Y Wu, X Wu arXiv preprint arXiv:1611.07509, 2016	148	2016
On link privacy in randomizing social networks X Ying, X Wu Knowledge and information systems 28, 645-663, 2011	142	2011
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	130	2016
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	127	2019
Preserving differential privacy in degree-correlation based graph generation Y Wang, X Wu Transactions on data privacy 6 (2), 127, 2013	125	2013
SNE: signed network embedding S Yuan, X Wu, Y Xiang Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017	118	2017
Differential privacy preserving spectral graph analysis Y Wang, X Wu, L Wu Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013	112	2013
Deep learning for insider threat detection: Review, challenges and opportunities S Yuan, X Wu Computers & Security 104, 102221, 2021	96	2021
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	92	2009
Graph generation with prescribed feature constraints X Ying, X Wu Proceedings of the 2009 SIAM International Conference on Data Mining, 966-977, 2009	90	2009
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	84	2019
Preserving differential privacy in convolutional deep belief networks NH Phan, X Wu, D Dou Machine learning 106 (9-10), 1681-1704, 2017	83	2017
Protecting business intelligence and customer privacy while outsourcing data mining tasks L Qiu, Y Li, X Wu Knowledge and Information Systems 17 (1), 99-120, 2008	81	2008
Logbert: Log anomaly detection via bert H Guo, S Yuan, X Wu 2021 international joint conference on neural networks (IJCNN), 1-8, 2021	80	2021

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