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Sheng Li 0011
Person information
- affiliation: Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China
- affiliation (PhD 2008): Huazhong University of Science and Technology, Wuhan, China
Other persons with the same name
- Sheng Li — disambiguation page
- Sheng Li 0001 — University of Virginia, Charlottesville, VA, USA (and 3 more)
- Sheng Li 0002 — Peking University, Department of Psychology, Beijing, China (and 2 more)
- Sheng Li 0003 — Harbin Institute of Technology, Laboratory of Machine Intelligence and Translation, China
- Sheng Li 0005 — Zhejiang University of Technology, Hangzhou, China (and 2 more)
- Sheng Li 0006 — Fudan University, School of Computer Science, Shanghai Institute of Intelligent Electronics and Systems, China (and 2 more)
- Sheng Li 0007 — Google, Mountain View, CA, USA (and 3 more)
- Sheng Li 0008 — Peking University, Department of Computer Science, Beijing, China
- Sheng Li 0009 — Xijing University, Xi'an, China (and 1 more)
- Sheng Li 0010 — National Institute of Information and Communications Technology (NICT), Universal Communication Research Institute (UCRI), Kyoto, Japan (and 5 more)
- Sheng Li 0012 — Nanjing Institute of Technology, School of Electric Power Engineering, China
- Sheng Li 0013 — Central University of Finance and Economics, Beijing, China
- Sheng Li 0014 — Karlsruhe Institute of Technology, Germany
- Sheng Li 0015 — University of Texas Health Science Center at Houston, TX, USA
- Sheng Li 0016 — Nanjing University of Science and Technology, Nanjing, Jiangsu, China
- Sheng Li 0017 — Alibaba Inc., Hangzhou, China (and 1 more)
- Sheng Li 0018 — Wuhan University of Technology, National Engineering Laboratory for Fiber Optic Sensing Technology, China
- Sheng Li 0019 — University of Pittsburgh, PA, USA (and 1 more)
- Sheng Li 0020 — University of Electronic Science and Technology of China, Chengdu, China (and 1 more)
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Journal Articles
- 2022
- [j3]Tianyu Chen, Sheng Li, Jun Yan:
CS-RNN: efficient training of recurrent neural networks with continuous skips. Neural Comput. Appl. 34(19): 16515-16532 (2022) - 2018
- [j2]Sheng Li, Lusi Li, Jun Yan, Haibo He:
SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy. IEEE Trans. Knowl. Data Eng. 30(8): 1575-1587 (2018) - 2016
- [j1]Sheng Li, Bo Tang, Haibo He:
An Imbalanced Learning based MDR-TB Early Warning System. J. Medical Syst. 40(7): 164:1-164:9 (2016)
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