吴旭炀｜复旦大学｜学者主页

2026

A Weighted Bundle Method of Multipliers with Improved Computational Efficiency

Zhuo Zheng, Cong Li, Xiang Xu, Xuyang Wu

2026 IEEE 20th International Conference on Control and Automation (ICCA)

DOI

2025

A Delay-Free Adaptive Stepsize for the Incremental Aggregated Gradient Method

Zhicheng Deng, Xuyang Wu, Jie Lu

IEEE Control Systems Letters

DOI

2025

A Unified Dual-Consensus Approach to Distributed Optimization With Globally Coupled Constraints

Zixuan Liu, Xuyang Wu, Dandan Wang, Jie Lu

IEEE Transactions on Control of Network Systems

DOI

2025

Historical Information Accelerates Decentralized Optimization: A Proximal Bundle Method

Zhao Zhu, Yu Tian, Xuyang Wu

arXiv.org

DOI

2024

Achieving violation-free distributed optimization under coupling constraints

Changxin Liu, Xiao Tan, Xuyang Wu, D. Dimarogonas, K. H. Johansson

arXiv.org

DOI

2024

Globally Constrained Decentralized Optimization With Variable Coupling

Dandan Wang, Xuyang Wu, Zichong Ou, Jie Lu

IEEE Transactions on Automatic Control

DOI

2023

Asynchronous Distributed Optimization With Delay-free Parameters

Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson

IEEE Transactions on Automatic Control

DOI

2023

A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks

Xuyang Wu, K. Sou, Jie Lu

Optim. Methods Softw.

DOI

2023

Delay-Agnostic Asynchronous Distributed Optimization

Xuyang Wu, Changxin Liu, S. Magnússon, M. Johansson

IEEE Conference on Decision and Control

DOI

2023

Delay-agnostic Asynchronous Coordinate Update Algorithm

Xuyang Wu, Changxin Liu, S. Magnússon, M. Johansson

International Conference on Machine Learning

2023

Revisiting the Curvature-aided IAG: Improved Theory and Reduced Complexity

Erik Berglund, Sarit Khirirat, Xuyang Wu, Sindri Magnússon, Mikael Johansson

IFAC-PapersOnLine

DOI

2022

Delay-adaptive step-sizes for asynchronous learning

Xuyang Wu, S. Magnússon, Hamid Reza Feyzmahdavian, M. Johansson

International Conference on Machine Learning

2022

Optimal convergence rates of totally asynchronous optimization

Xuyang Wu, S. Magnússon, Hamid Reza Feyzmahdavian, M. Johansson

IEEE Conference on Decision and Control

DOI

2022

Distributed safe resource allocation using barrier functions

Xuyang Wu, S. Magnússon, M. Johansson

at - Automatisierungstechnik

DOI

2022

Rate analysis of dual averaging for nonconvex distributed optimization

Changxin Liu, Xuyang Wu, Xin-Lei Yi, Yang Shi, K. Johansson

IFAC-PapersOnLine

DOI

2021

Distributed Optimization With Coupling Constraints

Xuyang Wu, He Wang, Jie Lu

IEEE Transactions on Automatic Control

DOI

2021

A New Family of Feasible Methods for Distributed Resource Allocation

Xuyang Wu, S. Magnússon, M. Johansson

IEEE Conference on Decision and Control

DOI

2020

A Second-Order Proximal Algorithm for Consensus Optimization

Xuyang Wu, Zhihai Qu, Jie Lu

IEEE Transactions on Automatic Control

DOI

2020

A Distributed Proximal Primal-Dual Algorithm for Nonsmooth Optimization with Coupling Constraints

Xuyang Wu, He Wang, Jie Lu

IEEE Conference on Decision and Control

DOI

2020

Distributed Optimization Over Time-Varying Networks With Minimal Connectivity

Xuyang Wu, Jie Lu

IEEE Control Systems Letters

DOI

2020

Decentralized Approximate Newton Methods for Convex Optimization on Networked Systems

Hejie Wei, Zhihai Qu, Xuyang Wu, Hao Wang, Jie Lu

IEEE Transactions on Control of Network Systems

DOI

2020

A Unifying Approximate Method of Multipliers for Distributed Composite Optimization

Xuyang Wu, Jie Lu

IEEE Transactions on Automatic Control

DOI

2019

Improved Convergence Rates of P-EXTRA for Non-smooth Distributed optimization

Xuyang Wu, Jie Lu

2019 IEEE 15th International Conference on Control and Automation (ICCA)

DOI

2018

Distributed Fenchel Dual Gradient Methods Enabling a Smoothing Technique for Nonsmooth Optimization

Xuyang Wu, K. Sou, Jie Lu

IEEE Conference on Decision and Control

DOI

2018

An Approximately-Zero-Gradient-Sum Algorithm for Consensus Optimization

Hejie Wei, Zhihai Qu, Xuyang Wu, Hao Wang, Jie Lu

International Conference on Control, Automation, Robotics and Vision

DOI

2017

Fenchel dual gradient methods for distributed convex optimization over time-varying networks

Xuyang Wu, Jie Lu

IEEE Conference on Decision and Control

DOI

2017

Deterministic coordinate descent algorithms for smooth convex optimization

Xuyang Wu, Jie Lu

IEEE Conference on Decision and Control

DOI

吴旭炀

精选作品

期刊论文

A Weighted Bundle Method of Multipliers with Improved Computational Efficiency

A Delay-Free Adaptive Stepsize for the Incremental Aggregated Gradient Method

A Unified Dual-Consensus Approach to Distributed Optimization With Globally Coupled Constraints

Historical Information Accelerates Decentralized Optimization: A Proximal Bundle Method

Achieving violation-free distributed optimization under coupling constraints

Globally Constrained Decentralized Optimization With Variable Coupling

Asynchronous Distributed Optimization With Delay-free Parameters

A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks

Delay-Agnostic Asynchronous Distributed Optimization

Delay-agnostic Asynchronous Coordinate Update Algorithm

Revisiting the Curvature-aided IAG: Improved Theory and Reduced Complexity

Delay-adaptive step-sizes for asynchronous learning

Optimal convergence rates of totally asynchronous optimization

Distributed safe resource allocation using barrier functions

Rate analysis of dual averaging for nonconvex distributed optimization

Distributed Optimization With Coupling Constraints

A New Family of Feasible Methods for Distributed Resource Allocation

A Second-Order Proximal Algorithm for Consensus Optimization

A Distributed Proximal Primal-Dual Algorithm for Nonsmooth Optimization with Coupling Constraints

Distributed Optimization Over Time-Varying Networks With Minimal Connectivity

Decentralized Approximate Newton Methods for Convex Optimization on Networked Systems

A Unifying Approximate Method of Multipliers for Distributed Composite Optimization

Improved Convergence Rates of P-EXTRA for Non-smooth Distributed optimization

Distributed Fenchel Dual Gradient Methods Enabling a Smoothing Technique for Nonsmooth Optimization

An Approximately-Zero-Gradient-Sum Algorithm for Consensus Optimization

Fenchel dual gradient methods for distributed convex optimization over time-varying networks

Deterministic coordinate descent algorithms for smooth convex optimization

预印本

Anderson Acceleration for Distributed Constrained Optimization over Time-varying Networks