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ORCIDKe Wang 0003
Person information
- unicode name: 王可
- affiliation: Hong Kong University of Science and Technology, Jockey Club Institute for Advanced Study, Hong Kong
- affiliation: California Institute of Technology, Pasadena, CA, USA
- affiliation (former): Rutgers University, Department of Mathematics, Piscataway, NJ, USA
Other persons with the same name
- Ke Wang — disambiguation page
- Ke Wang 0001
![[0000-0002-8021-4951]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8021-4951")
— Simon Fraser University, Burnaby, BC, Canada (and 1 more) - Ke Wang 0002 — Harbin Institute of Technology, Department of Mathematics, Weihai, China (and 1 more)
- Ke Wang 0004 — Shanghai University, School of Management, China (and 1 more)
- Ke Wang 0005 — Beijing University of Technology, College of Electronic and Control Engineering, China (and 2 more)
- Ke Wang 0006 — National University of Singapore, NUS Graduate School for Integrative Sciences and Engineering, Singapore
- Ke Wang 0007 — RMIT University, School of Engineering, Melbourne, Australia (and 1 more)
- Ke Wang 0008 — Chang'an University, School of Highway, Xi'an, China
- Ke Wang 0009 — Columbia University, New York, NY, USA
- Ke Wang 0010 — PLA University of Science and Technology, Department of Satellite Communications, Nanjing, China
- Ke Wang 0011 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Ke Wang 0012 — Intel (and 1 more)
- Ke Wang 0013 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering / MoE Key Laboratory of Universal Wireless Communications, China
- Ke Wang 0014 — Chinese Academy of Sciences, Institute of Electrical Engineering, Key Laboratory of Power Electronics and Electric Drive, Beijing, China
- Ke Wang 0015 — China Electric Power Research Institute, Electric Automation Department, Nanjing, China
- Ke Wang 0016 — Zhejiang University, Institute of Remote Sensing and Information System Application / College of Environmental and Resource Sciences, Hangzhou, China
- Ke Wang 0017 — Chongqing University, State Key Laboratory of Mechanical Transmission, China
- Ke Wang 0018 — Xian University of Architecture and Technology, School of Management, China
- Ke Wang 0019 — Nanjing University of Aeronautics and Astronautics, School of Electronic and Information Engineering, China
- Ke Wang 0020 — University of Glasgow, School of Engineering, UK
- Ke Wang 0021 — University of North Carolina, Department of Computer Science, Chapel Hill, NC, USA
- Ke Wang 0023 — China University of Geosciences, Wuhan, China (and 1 more)
- Ke Wang 0024 — Chongqing University, College of Computer Science, China
- Ke Wang 0025 — Zhejiang University of Technology, College of Information Engineering, China
- Ke Wang 0026 — Shanghai University, School of Mechatronic Engineering and Automation, China
- Ke Wang 0027 — Shandong University of Science and Technology, College of Geomatics, Qingdao, China
- Ke Wang 0028 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China
- Ke Wang 0029 — Harbin Institute of Technology, Instrument Science and Technology, China
- Ke Wang 0030 — George Washington University, Department of Electrical and Computer Engineering, Washington, DC, USA
- Ke Wang 0031 — Sichuan University, College of Mathematics, Chengdu, China
- Ke Wang 0032 — Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing, China
- Ke Wang 0033 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Ke Wang 0034 — Zhejiang University, Institute of VLSI Design, China
- Ke Wang 0035 — University of California Santa Barbara, Department of Statistics and Applied Probability, CA, USA
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2020 – today
- 2024
[j6]Sean O'Rourke, Van Vu, Ke Wang:
Matrices With Gaussian Noise: Optimal Estimates for Singular Subspace Perturbation. IEEE Trans. Inf. Theory 70(3): 1978-2002 (2024)- 2023
- [j5]Ke Wang, Philip Matchett Wood:
Limiting empirical spectral distribution for the non-backtracking matrix of an Erdős-Rényi random graph. Comb. Probab. Comput. 32(6): 956-973 (2023) - [c2]Sean O'Rourke, Van Vu, Ke Wang:
Optimal Subspace Perturbation Bounds under Gaussian Noise. ISIT 2023: 2601-2606
2010 – 2019
- 2019
- [j4]Gabriel H. Tucci, Ke Wang:
New Methods for Handling Singular Sample Covariance Matrices. IEEE Trans. Inf. Theory 65(2): 770-786 (2019) - 2018
- [i3]Sean O'Rourke, Van Vu, Ke Wang:
Random perturbation and matrix sparsification and completion. CoRR abs/1803.00679 (2018) - [i2]Jian-Feng Cai, Dong Li, Jiaze Sun, Ke Wang:
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections. CoRR abs/1811.09054 (2018) - 2016
- [j3]Sean O'Rourke, Van Vu, Ke Wang:
Eigenvectors of random matrices: A survey. J. Comb. Theory A 144: 361-442 (2016) - 2015
- [j2]Van H. Vu, Ke Wang:
Random weighted projections, random quadratic forms and random eigenvectors. Random Struct. Algorithms 47(4): 792-821 (2015) - 2013
- [j1]Linh V. Tran, Van H. Vu, Ke Wang:
Sparse random graphs: Eigenvalues and eigenvectors. Random Struct. Algorithms 42(1): 110-134 (2013) - 2012
- [c1]Gabriel H. Tucci, Ke Wang:
An innovative approach for analysing rank deficient covariance matrices. ISIT 2012: 2596-2600 - 2011
- [i1]Gabriel H. Tucci, Ke Wang:
New Methods for Handling Singular Sample Covariance Matrices. CoRR abs/1111.0235 (2011)
Coauthor Index
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last updated on 2024-07-23 23:57 CEST by the dblp team
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