Distributed Extremum Seeking Control of networked large-scale systems under constraints. - Jin-Ming Xu; Yeng Chai Soh (CDC, 2013)

Augmented distributed gradient methods for multi-agent optimization under uncoordinated constant stepsizes. - Jin-Ming Xu; Shanying Zhu; Yeng Chai Soh; Lihua Xie 001 (CDC, 2015)

Averaging based distributed estimation algorithm for rate-constrained sensor networks with additive quantization model. - Shanying Zhu; Shuai Liu 001; Jin-Ming Xu; Yeng Chai Soh; Lihua Xie 001 (CDC, 2015)

A forward-backward Bregman splitting scheme for regularized distributed optimization problems. - Jin-Ming Xu; Shanying Zhu; Yeng Chai Soh; Lihua Xie 001 (CDC, 2016)

A least square approach for distributed sensor fusion in bandwidth-constrained sensor networks. - Shanying Zhu; Jin-Ming Xu; Cailian Chen; Xin-Ping Guan (ICASSP, 2016)

A distributed simultaneous perturbation approach for large-scale dynamic optimization problems. - Jin-Ming Xu; Yeng Chai Soh (Autom., 2016)

A dual splitting algorithm for distributed resource allocation problems. - Jin-Ming Xu; Shanying Zhu; Yeng Chai Soh; Lihua Xie 001 (CDC, 2017)

A Push-Pull Gradient Method for Distributed Optimization in Networks. - Shi Pu 004; Wei Shi 010; Jinming Xu 002; Angelia Nedic (CDC, 2018)

Convergence of Asynchronous Distributed Gradient Methods Over Stochastic Networks. - Jin-Ming Xu; Shanying Zhu; Yeng Chai Soh; Lihua Xie 001 (IEEE Trans. Autom. Control., 2018)

A Bregman Splitting Scheme for Distributed Optimization Over Networks. - Jin-Ming Xu; Shanying Zhu; Yeng Chai Soh; Lihua Xie 001 (IEEE Trans. Autom. Control., 2018)

Mitigating Quantization Effects on Distributed Sensor Fusion: A Least Squares Approach. - Shanying Zhu; Cailian Chen; Jin-Ming Xu; Xinping Guan; Lihua Xie 001; Karl Henrik Johansson (IEEE Trans. Signal Process., 2018)

A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization. - Jinming Xu 002; Ying Sun 003; Ye Tian 021; Gesualdo Scutari (CAMSAP, 2019)

A Dual Splitting Approach for Distributed Resource Allocation With Regularization. - Jinming Xu 002; Shanying Zhu; Yeng Chai Soh; Lihua Xie 001 (IEEE Trans. Control. Netw. Syst., 2019)

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (AISTATS, 2020)

A Unified Algorithmic Framework for Distributed Composite Optimization. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (CDC, 2020)

Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (CoRR, 2020)

Privacy-Preserving Distributed Online Optimization Over Unbalanced Digraphs via Subgradient Rescaling. - Yongyang Xiong; Jinming Xu 002; Keyou You; Jianxing Liu; Ligang Wu 001 (IEEE Trans. Control. Netw. Syst., 2020)

A Decentralized Algorithm for Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems. - Zishun Liu; Shanying Zhu; Jinming Xu 002; Cailian Chen (CDC, 2021)

Decentralized Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems. - Zishun Liu; Shanying Zhu; Jinming Xu 002; Cailian Chen (CoRR, 2021)

Push-Pull Gradient Methods for Distributed Optimization in Networks. - Shi Pu 004; Wei Shi 010; Jinming Xu 002; Angelia Nedic (IEEE Trans. Autom. Control., 2021)

Differentially Private Distributed Resource Allocation via Deviation Tracking. - Tie Ding; Shanying Zhu; Cailian Chen; Jinming Xu 002; Xinping Guan (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (IEEE Trans. Signal Process., 2021)

Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation. - Xuezhong Lin; Jingyu Pan; Jinming Xu 002; Yiran Chen 001; Cheng Zhuo (ASP-DAC, 2022)

Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks. - Yan Huang 036; Jinming Xu 002; Wenchao Meng; Hoi-To Wai (CDC, 2022)

On Necessary and Sufficient Conditions for Identifiability and Identification of Switching Dynamical Networks. - Weiyang Sun; Jinming Xu 002; Jiming Chen 001 (CDC, 2022)

Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology. - Yan Huang 036; Ying Sun 003; Zehan Zhu; Changzhi Yan; Jinming Xu 002 (ICML, 2022)

On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach. - Yan Huang 036; Jinming Xu 002 (CDC, 2023)

Inducing Desired Equilibrium in Taxi Repositioning Problem with Adaptive Incentive Design. - Jianhui Li; Youcheng Niu; Shuang Li; Yuzhe Li; Jinming Xu 002; Junfeng Wu 001 (CDC, 2023)

A Loopless Distributed Algorithm for Personalized Bilevel Optimization. - Youcheng Niu; Ying Sun 003; Yan Huang 036; Jinming Xu 002 (CDC, 2023)

Asynchronous Byzantine-Robust Stochastic Aggregation with Variance Reduction for Distributed Learning. - Zehan Zhu; Yan Huang 036; Chengcheng Zhao; Jinming Xu 002 (CDC, 2023)

Accurate and Robust State Estimation via Fusion of Visual-Inertial-UWB with Time Synchronization. - Zemin Liu; Mingming Bai; Jiacheng He; Xiufang Shi; Jinming Xu 002 (IECON, 2023)

Aggressive Trajectory Generation for a Swarm of Autonomous Racing Drones. - Yuyang Shen; Jin Zhou; Danzhe Xu; Fangguo Zhao; Jinming Xu 002; Ji-Ming Chen 001; Shuo Li (IROS, 2023)

Robust Fully-Asynchronous Methods for Distributed Training over General Architecture. - Zehan Zhu; Ye Tian 021; Yan Huang 036; Jinming Xu 002; Shibo He (CoRR, 2023)

Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis. - Youcheng Niu; Jinming Xu 002; Ying Sun 003; Yan Huang 036; Li Chai 008 (CoRR, 2023)

Topology Reconstruction of Heterogeneous Networked Dynamical Systems with Unknown Input Matrices. - Weiyang Sun; Jinming Xu 002; Jiming Chen 001 (ACC, 2024)

MAexp: A Generic Platform for RL-based Multi-Agent Exploration. - Shaohao Zhu; Jiacheng Zhou; Anjun Chen; Mingming Bai; Jiming Chen 001; Jinming Xu 002 (ICRA, 2024)

PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds. - Zehan Zhu; Yan Huang 036; Xin Wang; Jinming Xu 002 (IJCAI, 2024)

Priority-Based Deadlock Recovery for Distributed Swarm Obstacle Avoidance in Cluttered Environments. - Jiacheng He; Fangguo Zhao; Shaohao Zhu; Shuo Li; Jinming Xu 002 (IROS, 2024)

Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes. - Yan Huang 036; Xiang Li; Yipeng Shen; Niao He; Jinming Xu 002 (NeurIPS, 2024)

PerfTop: Towards performance prediction of distributed learning over general topology. - Changzhi Yan; Zehan Zhu; Youcheng Niu; Cong Wang 040; Cheng Zhuo; Jinming Xu 002 (J. Parallel Distributed Comput., 2024)

R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking Over General Topology. - Zehan Zhu; Ye Tian 021; Yan Huang 036; Jinming Xu 002; Shibo He (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Lithography Hotspot Detection Based on Heterogeneous Federated Learning With Local Adaptation and Feature Selection. - Jingyu Pan; Xuezhong Lin; Jinming Xu 002; Yiran Chen 001; Cheng Zhuo (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Identifiability and Identification of Switching Dynamical Networks: A Data-Based Approach. - Weiyang Sun; Jinming Xu 002; Jiming Chen 001 (IEEE Trans. Control. Netw. Syst., 2024)

Distributed Optimization With Personalization: A Flexible Algorithmic Framework. - Yan Huang 036; Jinming Xu 002; Wenchao Meng; Hoi-To Wai; Li Chai 001 (IEEE Trans. Autom. Control., 2024)

Safeguard Vehicle Platooning Based on Resilient Control Against False Data Injection Attacks. - Chengcheng Zhao; Ruijie Ma; Mengzhi Wang; Jinming Xu 002; Lin Cai 001 (IEEE Trans. Intell. Transp. Syst., 2024)

On the Convergence and Implementation of High-Order Primal Dual Algorithms for Affine-Constrained Convex Optimization. - Qiuchen Tian; Yixian Zhao; Jinming Xu 002; Li Chai 001 (ACC, 2025)

Communication-Efficient Data Exchange for Decentralized Loop-Closure Detection in Collaborative SLAM. - Haochang Zhang; Yixian Zhao; Jinming Xu 002 (ACC, 2025)

Distributed Personalized Optimization on Riemannian Manifolds with Gradient Tracking. - Yixian Zhao; Yan Huang 036; Haochang Zhang; Jinming Xu 002 (ACC, 2025)

Dyn-D2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee. - Zehan Zhu; Yan Huang 036; Xin Wang; Shouling Ji; Jinming Xu 002 (CoRR, 2025)

Multi-Robot Autonomous 3D Reconstruction Using Gaussian Splatting With Semantic Guidance. - Jing Zeng; Qi Ye; Tianle Liu; Yang Xu 042; Jin Li; Jinming Xu 002; Liang Li 010; Jiming Chen 001 (IEEE Robotics Autom. Lett., 2025)