default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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://dblp.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
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c14]Wenqiang Pu, Jiawei Zhang, Rui Zhou, Xiao Fu, Mingyi Hong:
A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization. ICASSP 2024: 8911-8915- [c13]Kihyun Kim, Jiawei Zhang, Asuman E. Ozdaglar, Pablo A. Parrilo:
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback. ICML 2024 - [c12]Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar:
Uniformly Stable Algorithms for Adversarial Training and Beyond. ICML 2024 - [i14]Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar:
Uniformly Stable Algorithms for Adversarial Training and Beyond. CoRR abs/2405.01817 (2024) - [i13]Jiawei Zhang, Yuhong Yang, Jie Ding:
Additive-Effect Assisted Learning. CoRR abs/2405.08235 (2024) - [i12]Kihyun Kim, Jiawei Zhang, Asuman E. Ozdaglar, Pablo A. Parrilo:
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback. CoRR abs/2405.12421 (2024) - [i11]Jin Du, Xinhe Zhang, Hao Shen, Xun Xian, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Na Li, Jia Liu, Jie Ding:
Drift to Remember. CoRR abs/2409.13997 (2024) - 2023
- [c11]Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh:
Pruning Deep Neural Networks from a Sparsity Perspective. ICLR 2023 - [c10]Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong:
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. ICML 2023: 16291-16325 - [c9]Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. ICML 2023: 26769-26791 - [c8]Cheng Chen, Jiawei Zhang, Jie Ding, Yi Zhou:
Assisted Unsupervised Domain Adaptation. ISIT 2023: 2482-2487 - [i10]Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh:
Pruning Deep Neural Networks from a Sparsity Perspective. CoRR abs/2302.05601 (2023) - 2022
- [j5]Jiawei Zhang, Zhi-Quan Luo:
A Global Dual Error Bound and Its Application to the Analysis of Linearly Constrained Nonconvex Optimization. SIAM J. Optim. 32(3): 2319-2346 (2022) - [j4]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) - [j3]Xinran Wang, Jiawei Zhang, Mingyi Hong, Yuhong Yang, Jie Ding:
Parallel Assisted Learning. IEEE Trans. Signal Process. 70: 5848-5858 (2022) - [c7]Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
What is a Good Metric to Study Generalization of Minimax Learners? NeurIPS 2022 - [i9]Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
What is a Good Metric to Study Generalization of Minimax Learners? CoRR abs/2206.04502 (2022) - [i8]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) - [i7]Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. CoRR abs/2212.13861 (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 - [i6]Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo:
Decentralized Non-Convex Learning with Linearly Coupled Constraints. CoRR abs/2103.05378 (2021) - [i5]Jiawei Zhang, Jie Ding, Yuhong Yang:
Targeted Cross-Validation. CoRR abs/2109.06949 (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 - [i4]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) - [i3]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 - [i2]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) - [i1]Jiawei Zhang, Jie Ding, Yuhong Yang:
A Binary Regression Adaptive Goodness-of-fit Test (BAGofT). CoRR abs/1911.03063 (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
