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ORCIDXuyang Wu 0001
Person information
- affiliation: Southern University of Science and Technology, Shenzhen, China
- affiliation (former): KTH Royal Institute of Technology, Stockholm, Sweden
- affiliation (PhD 2020): ShanghaiTech University, School of Information Science and Technology, China
Other persons with the same name
- Xuyang Wu
- Xuyang Wu 0002
![[0000-0002-8807-0016]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8807-0016")
— Santa Clara University, CA, USA (and 1 more) - Xuyang Wu 0003 — Xidian University, National Key Laboratory of Radar Signal Processing, Xi'an, China
- Xuyang Wu 0004 — Henan Polytechnic University, School of Software, Jiaozuo, China
- Xuyang Wu 0005 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Xuyang Wu 0006 — Xiamen University, School of Law, China
- Xuyang Wu 0007 — Academy of Sciences, Northwest Institute of Eco-Environment and Resources, Lanzhou, China
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2020 – today
- 2024
[i4]Changxin Liu, Xiao Tan, Xuyang Wu, Dimos V. Dimarogonas, Karl Henrik Johansson:
Achieving violation-free distributed optimization under coupling constraints. CoRR abs/2404.07609 (2024)- [i3]Zesen Wang, Jiaojiao Zhang, Xuyang Wu, Mikael Johansson:
From promise to practice: realizing high-performance decentralized training. CoRR abs/2410.11998 (2024) - 2023
- [j8]Xuyang Wu, Sindri Magnússon, Mikael Johansson:
Distributed safe resource allocation using barrier functions. Autom. 153: 111051 (2023) - [j7]Xuyang Wu, Kin Cheong Sou, Jie Lu:
A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks. Optim. Methods Softw. 38(4): 813-836 (2023) - [j6]Xuyang Wu, He Wang, Jie Lu:
Distributed Optimization With Coupling Constraints. IEEE Trans. Autom. Control. 68(3): 1847-1854 (2023) - [j5]Xuyang Wu, Jie Lu:
A Unifying Approximate Method of Multipliers for Distributed Composite Optimization. IEEE Trans. Autom. Control. 68(4): 2154-2169 (2023) - [c11]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Delay-Agnostic Asynchronous Distributed Optimization. CDC 2023: 1082-1087 - [c10]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Delay-agnostic Asynchronous Coordinate Update Algorithm. ICML 2023: 37582-37606 - [i2]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Asynchronous Distributed Optimization with Delay-free Parameters. CoRR abs/2312.06508 (2023) - 2022
- [c9]Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson:
Optimal convergence rates of totally asynchronous optimization. CDC 2022: 6484-6490 - [c8]Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson:
Delay-Adaptive Step-sizes for Asynchronous Learning. ICML 2022: 24093-24113 - [i1]Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson:
Delay-adaptive step-sizes for asynchronous learning. CoRR abs/2202.08550 (2022) - 2021
- [j4]Xuyang Wu, Zhihai Qu, Jie Lu:
A Second-Order Proximal Algorithm for Consensus Optimization. IEEE Trans. Autom. Control. 66(4): 1864-1871 (2021) - [j3]Hejie Wei, Zhihai Qu, Xuyang Wu, Hao Wang, Jie Lu:
Decentralized Approximate Newton Methods for Convex Optimization on Networked Systems. IEEE Trans. Control. Netw. Syst. 8(3): 1489-1500 (2021) - [c7]Xuyang Wu, Sindri Magnússon, Mikael Johansson:
A New Family of Feasible Methods for Distributed Resource Allocation. CDC 2021: 3355-3360 - 2020
- [j2]Xuyang Wu, Jie Lu:
Distributed Optimization Over Time-Varying Networks With Minimal Connectivity. IEEE Control. Syst. Lett. 4(3): 536-541 (2020) - [c6]Xuyang Wu, He Wang, Jie Lu:
A Distributed Proximal Primal-Dual Algorithm for Nonsmooth Optimization with Coupling Constraints. CDC 2020: 3657-3662
2010 – 2019
- 2019
- [j1]Xuyang Wu, Jie Lu:
Fenchel Dual Gradient Methods for Distributed Convex Optimization Over Time-Varying Networks. IEEE Trans. Autom. Control. 64(11): 4629-4636 (2019) - [c5]Xuyang Wu, Jie Lu:
Improved Convergence Rates of P-EXTRA for Non-smooth Distributed optimization. ICCA 2019: 55-60 - 2018
- [c4]Xuyang Wu, Kin Cheong Sou, Jie Lu:
Distributed Fenchel Dual Gradient Methods Enabling a Smoothing Technique for Nonsmooth Optimization. CDC 2018: 1757-1762 - [c3]Hejie Wei, Zhihai Qu, Xuyang Wu, Hao Wang, Jie Lu:
An Approximately-Zero-Gradient-Sum Algorithm for Consensus Optimization. ICARCV 2018: 826-830 - 2017
- [c2]Xuyang Wu, Jie Lu:
Deterministic coordinate descent algorithms for smooth convex optimization. CDC 2017: 709-714 - [c1]Xuyang Wu, Jie Lu:
Fenchel dual gradient methods for distributed convex optimization over time-varying networks. CDC 2017: 2894-2899
Coauthor Index
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