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Quan Liu 0007
Person information
- affiliation: Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
Other persons with the same name
- Quan Liu — disambiguation page
- Quan Liu 0001
— Wuhan University of Technology, School of Information Engineering, Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Wuhan, China (and 1 more)
- Quan Liu 0002
— Vanderbilt University, Department of Computer Science, Nashville, TN, USA (and 1 more)
- Quan Liu 0003 — University of Science and Technology of China, iFLYTEK Research, Hefei, China (and 1 more)
- Quan Liu 0004
— Soochow University, School of Computer Science and Technology, Provincial Key Laboratory for Computer Information Processing Technology, Suzhou, China
- Quan Liu 0005
— University of Chinese Academy of Sciences, College of Earth and Planetary Sciences, Beijing, China (and 1 more)
- Quan Liu 0006
— Shanghai Jiao Tong University, Department of Computer Science and Technology, Shanghai, China
- Quan Liu 0008 — Alibaba Group, Hangzhou, China
- Quan Liu 0009
— National University of Defense Technology, National Key Laboratory for Parallel and Distributed Processing, Changsha, China
- Quan Liu 0010
— Xiamen University, School of Electronic Science and Engineering, Institute of Electromagnetics and Acoustics, Xiamen, China (and 2 more)
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2010 – 2019
- 2019
- [j3]Yanbo Wang
, Quan Liu, Shan Huang, Bo Yuan:
Learning a Structural and Functional Representation for Gene Expressions: To Systematically Dissect Complex Cancer Phenotypes. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1729-1742 (2019) - 2018
- [j2]Quan Liu
, Yanbo Wang, Bo Yuan
:
Matrix Factorization From a Few Dominators. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5749-5755 (2018) - 2017
- [c1]Quan Liu, Yanbo Wang, Shuchang Zhang, Bo Yuan:
Fast Singular Value Projection for Low-Rank Matrix Completion. ICMLSC 2017: 13-18 - 2016
- [j1]Yanbo Wang
, Quan Liu, Bo Yuan
:
Learning Latent Variable Gaussian Graphical Model for Biomolecular Network with Low Sample Complexity. Comput. Math. Methods Medicine 2016: 2078214:1-2078214:13 (2016)

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