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ORCIDLei Cui 0010
Person information
- affiliation: University of Texas at Dallas, TX, USA
Other persons with the same name
- Lei Cui — disambiguation page
- Lei Cui 0001 — Microsoft Research Asia, Beijing, China (and 1 more)
- Lei Cui 0002
![[0000-0001-9477-9155]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-9477-9155")
— Jimei University, Navigation College, Xiamen, China (and 1 more) - Lei Cui 0003 — Zhongguancun Lab, Beijing, China (and 3 more)
- Lei Cui 0004 — Northwest University, School of Information Science and Technology, Xi'an, China
- Lei Cui 0005 — Curtin University, School of Civil & Mechanical Engineering, Perth, WA, Australia (and 2 more)
- Lei Cui 0006 — University of Technology Sydney, School of Computer Science, Ultimo, NSW, Australia (and 2 more)
- Lei Cui 0008 — China Medical University, School of Health Management, Shenyang, China (and 1 more)
- Lei Cui 0009 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Lei Cui 0011 — Huazhong Science and Technology University, School of Artificial Intelligence and Automation, Wuhan, China
- Lei Cui 0012 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, Beijing, China (and 2 more)
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2010 – 2019
- 2017
[j2]Jianhua Tu, Lidong Wu, Jing Yuan, Lei Cui:
On the vertex cover P3 problem parameterized by treewidth. J. Comb. Optim. 34(2): 414-425 (2017)- 2016
- [b1]Lei Cui:
Community Detection in Social Networks. University of Texas at Dallas, Richardson, USA, 2016 - [j1]Ailian Wang, Weili Wu, Lei Cui:
On Bharathi-Kempe-Salek conjecture for influence maximization on arborescence. J. Comb. Optim. 31(4): 1678-1684 (2016) - [c2]Guangmo Tong, Lei Cui, Weili Wu, Cong Liu, Ding-Zhu Du:
Terminal-set-enhanced community detection in social networks. INFOCOM 2016: 1-9 - [i1]Guangmo Tong, Lei Cui, Weili Wu, Cong Liu, Ding-Zhu Du:
Terminal-Set-Enhanced Community Detection in Social Networks. CoRR abs/1607.00436 (2016) - 2014
- [c1]Lei Cui, Weili Wu:
A Survey of Research Fields for Social Network and Corresponding Techniques. MSN 2014: 263-270
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