Deterministic coordinate descent algorithms for smooth convex optimization. - Xuyang Wu 001; Jie Lu 007 (CDC, 2017)

Distributed Fenchel Dual Gradient Methods Enabling a Smoothing Technique for Nonsmooth Optimization. - Xuyang Wu 001; Kin Cheong Sou; Jie Lu 007 (CDC, 2018)

An Approximately-Zero-Gradient-Sum Algorithm for Consensus Optimization. - Hejie Wei; Zhihai Qu; Xuyang Wu 001; Hao Wang 045; Jie Lu 007 (ICARCV, 2018)

Improved Convergence Rates of P-EXTRA for Non-smooth Distributed optimization. - Xuyang Wu 001; Jie Lu 007 (ICCA, 2019)

Fenchel Dual Gradient Methods for Distributed Convex Optimization Over Time-Varying Networks. - Xuyang Wu 001; Jie Lu 007 (IEEE Trans. Autom. Control., 2019)

A Distributed Proximal Primal-Dual Algorithm for Nonsmooth Optimization with Coupling Constraints. - Xuyang Wu 001; He Wang 017; Jie Lu 007 (CDC, 2020)

Distributed Optimization Over Time-Varying Networks With Minimal Connectivity. - Xuyang Wu 001; Jie Lu 007 (IEEE Control. Syst. Lett., 2020)

A New Family of Feasible Methods for Distributed Resource Allocation. - Xuyang Wu 001; Sindri Magnússon; Mikael Johansson 001 (CDC, 2021)

A Second-Order Proximal Algorithm for Consensus Optimization. - Xuyang Wu 001; Zhihai Qu; Jie Lu 007 (IEEE Trans. Autom. Control., 2021)

Decentralized Approximate Newton Methods for Convex Optimization on Networked Systems. - Hejie Wei; Zhihai Qu; Xuyang Wu 001; Hao Wang 045; Jie Lu 007 (IEEE Trans. Control. Netw. Syst., 2021)

Optimal convergence rates of totally asynchronous optimization. - Xuyang Wu 001; Sindri Magnússon; Hamid Reza Feyzmahdavian; Mikael Johansson 001 (CDC, 2022)

Delay-Adaptive Step-sizes for Asynchronous Learning. - Xuyang Wu 001; Sindri Magnússon; Hamid Reza Feyzmahdavian; Mikael Johansson 001 (ICML, 2022)

Delay-Agnostic Asynchronous Distributed Optimization. - Xuyang Wu 001; Changxin Liu 001; Sindri Magnússon; Mikael Johansson 001 (CDC, 2023)

Delay-agnostic Asynchronous Coordinate Update Algorithm. - Xuyang Wu 001; Changxin Liu 001; Sindri Magnússon; Mikael Johansson 001 (ICML, 2023)

Distributed safe resource allocation using barrier functions. - Xuyang Wu 001; Sindri Magnússon; Mikael Johansson 001 (Autom., 2023)

Asynchronous Distributed Optimization with Delay-free Parameters. - Xuyang Wu 001; Changxin Liu 001; Sindri Magnússon; Mikael Johansson 001 (CoRR, 2023)

A Unifying Approximate Method of Multipliers for Distributed Composite Optimization. - Xuyang Wu 001; Jie Lu 007 (IEEE Trans. Autom. Control., 2023)

Distributed Optimization With Coupling Constraints. - Xuyang Wu 001; He Wang 017; Jie Lu 007 (IEEE Trans. Autom. Control., 2023)

A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks. - Xuyang Wu 001; Kin Cheong Sou; Jie Lu 007 (Optim. Methods Softw., 2023)

Distributed Resilient Frequency Control for Distributed Energy Sources Against High-Density Misbehaving Agents. - Yutong Li; Lili Wang; Xuyang Wu 001 (ICARCV, 2024)

Achieving violation-free distributed optimization under coupling constraints. - Changxin Liu 001; Xiao Tan 002; Xuyang Wu 001; Dimos V. Dimarogonas; Karl Henrik Johansson (CoRR, 2024)

An Asynchronous Bundle Method for Distributed Learning Problems. - Daniel Cederberg; Xuyang Wu 001; Stephen P. Boyd; Mikael Johansson 001 (ICLR, 2025)

From Promise to Practice: Realizing High-performance Decentralized Training. - Zesen Wang; Jiaojiao Zhang; Xuyang Wu 001; Mikael Johansson 001 (ICLR, 2025)