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ORCIDJiawei Zhang 0007
Person information
- affiliation: Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China
- affiliation: Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, Cambridge, MA, USA
Other persons with the same name
- Jiawei Zhang (aka: Jia-Wei Zhang, Jia Wei Zhang) — disambiguation page
- Jiawei Zhang 0001
![[0000-0002-2111-7617]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2111-7617")
— University of California, Davis, Department of Computer Science, IFM Lab, CA, USA (and 2 more) - Jiawei Zhang 0002 — SenseTime Research, Shenzhen, China (and 1 more)
- Jiawei Zhang 0003 — Purdue University, West Lafayette, IN, USA
- Jiawei Zhang 0004 — Beijing University of Posts and Telecommunication, State Key Laboratory of Information Photonics and Optical Communications, China
- Jiawei Zhang 0006 — New York University, Department of Information, Operations and Management Sciences, Stern School of Business, NY, USA (and 1 more)
- Jiawei Zhang 0008 — East China Jiaotong University, China
- Jia-Wei Zhang 0009 (aka: Jiawei Zhang 0009) — Guangxi University, School of Business Administration, Nanning, China
- Jia-Wei Zhang 0010 (aka: Jiawei Zhang 0010) — Northeast Forestry University, Electromechanical Engineering Academy, Harbin, China
- Jiawei Zhang 0011 — Xidian University, School of Cyber Engineering, Xi'an, China
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2020 – today
- 2022
[j3]Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo:
Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem. IEEE Trans. Signal Process. 70: 3312-3327 (2022)- [i5]Jiawei Zhang, Yushun Zhang, Mingyi Hong, Ruoyu Sun, Zhi-Quan Luo:
When Expressivity Meets Trainability: Fewer than n Neurons Can Work. CoRR abs/2210.12001 (2022) - 2021
- [j2]Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo:
Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems. IEEE Trans. Signal Process. 69: 4486-4501 (2021) - [c6]Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhi-Quan Luo:
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. AISTATS 2021: 1594-1602 - [c5]Jiawei Zhang, Yushun Zhang, Mingyi Hong, Ruoyu Sun, Zhi-Quan Luo:
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work. NeurIPS 2021: 9167-9180 - [i4]Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo:
Decentralized Non-Convex Learning with Linearly Coupled Constraints. CoRR abs/2103.05378 (2021) - 2020
- [j1]Jiawei Zhang, Zhi-Quan Luo:
A Proximal Alternating Direction Method of Multiplier for Linearly Constrained Nonconvex Minimization. SIAM J. Optim. 30(3): 2272-2302 (2020) - [c4]Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo:
A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization. ICASSP 2020: 5740-5744 - [c3]Linning Xu, Yijue Dai, Jiawei Zhang, Ceyao Zhang, Feng Yin:
Exact O(N2) Hyper-Parameter Optimization for Gaussian Process Regression. MLSP 2020: 1-6 - [c2]Jiawei Zhang, Peijun Xiao, Ruoyu Sun, Zhi-Quan Luo:
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. NeurIPS 2020 - [i3]Jiawei Zhang, Peijun Xiao, Ruoyu Sun, Zhi-Quan Luo:
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. CoRR abs/2010.15768 (2020) - [i2]Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo:
Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems. CoRR abs/2011.05082 (2020)
2010 – 2019
- 2019
- [c1]Yue Xu, Feng Yin, Jiawei Zhang, Wenjun Xu, Shuguang Cui, Zhi-Quan Luo:
Scalable Gaussian Process Using Inexact Admm for Big Data. ICASSP 2019: 7495-7499 - [i1]Linning Xu, Feng Yin, Jiawei Zhang, Zhi-Quan Luo, Shuguang Cui:
A General O(n2) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM. CoRR abs/1906.02387 (2019)
Coauthor Index
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