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Le Zhang 0006
Person information
- affiliation: Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
Other persons with the same name
- Le Zhang — disambiguation page
- Le Zhang 0001
— University of Electronic Science and Technology of China, UESTC, School of Information and Communication Engineering, Chengdu, China (and 3 more)
- Le Zhang 0002 — Raytheon BBN Technologies, Cambridge, MA, USA
- Le Zhang 0003
— Xi'an Jiaotong University, State Key Laboratory of Electrical Insualtion and Power Equipment, China (and 1 more)
- Le Zhang 0004
— Sichuan University, College of Computer Science, Chengdu, China (and 1 more)
- Le Zhang 0005
— University College London, London, UK (and 1 more)
- Le Zhang 0007
— Shenyang University, School of Information Engineering, China
- Le Zhang 0008
— Xi'an Jiaotong University, School of Aerospace, China
- Le Zhang 0010
— Baidu Inc., China (and 1 more)
- Le Zhang 0011
— Xi'an Jiaotong University, School of Mechanical Engineering, China
- Le Zhang 0012
— Mila - Quebec AI Institute, Canada
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2010 – 2019
- 2019
- [j1]Binghui Wang
, Jinyuan Jia, Le Zhang
, Neil Zhenqiang Gong:
Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation. IEEE Trans. Netw. Sci. Eng. 6(3): 523-537 (2019) - 2018
- [c3]Binghui Wang, Le Zhang, Neil Zhenqiang Gong:
SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels. RAID 2018: 228-249 - [i2]Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong:
Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation. CoRR abs/1803.04321 (2018) - [i1]Binghui Wang, Le Zhang, Neil Zhenqiang Gong:
SybilBlind: Detecting Fake Users in Online Social Networks without Manual Labels. CoRR abs/1806.04853 (2018) - 2017
- [c2]Binghui Wang, Le Zhang, Neil Zhenqiang Gong:
SybilSCAR: Sybil detection in online social networks via local rule based propagation. INFOCOM 2017: 1-9 - [c1]Jinyuan Jia, Binghui Wang, Le Zhang, Neil Zhenqiang Gong:
AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. WWW 2017: 1561-1569 - no results

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