Jinming Xu - RankMe

67 papers A* 6A 4C 5Journal 37Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed Online Constrained Convex Optimization With Compressed Communication. IEEE Trans. Netw. Sci. Eng. Jiaxu Liu, Pengkai Wang, Yixiao Qian, Song Chen, Jinming Xu, Shengze Cai, Chao Xu
2025	—	`conf`	An Optimistic Gradient Tracking Method for Distributed Minimax Optimization. CDC Yan Huang, Jinming Xu, Jiming Chen, Karl Henrik Johansson
2025	J	`jnl`	An Optimistic Gradient Tracking Method for Distributed Minimax Optimization. CoRR Yan Huang, Jinming Xu, Jiming Chen, Karl Henrik Johansson
2025	J	`jnl`	Bandwidth-Aware Network Topology Optimization for Decentralized Learning. CoRR Yipeng Shen, Zehan Zhu, Yan Huang, Changzhi Yan, Cheng Zhuo, Jinming Xu
2025	J	`jnl`	Beyond Scaffold: A Unified Spatio-Temporal Gradient Tracking Method. CoRR Yan Huang, Jinming Xu, Jiming Chen, Karl Henrik Johansson
2025	A	`conf`	CoCoL: A Communication Efficient Decentralized Collaborative Learning Method for Multi-Robot Systems. IROS Jiaxin Huang, Yan Huang, Yixian Zhao, Wenchao Meng, Jinming Xu
2025	J	`jnl`	CoCoL: A Communication Efficient Decentralized Collaborative Method for Multi-Robot Systems. CoRR Jiaxin Huang, Yan Huang, Yixian Zhao, Wenchao Meng, Jinming Xu
2025	C	`conf`	Communication-Efficient Data Exchange for Decentralized Loop-Closure Detection in Collaborative SLAM. ACC Haochang Zhang, Yixian Zhao, Jinming Xu
2025	J	`jnl`	DP-CSGP: Differentially Private Stochastic Gradient Push with Compressed Communication. CoRR Zehan Zhu, Heng Zhao, Yan Huang, Joey Tianyi Zhou, Shouling Ji, Jinming Xu
2025	—	`conf`	Decentralized Riemannian Quasi-Newton Method on Compact Submanifolds. CDC Yixian Zhao, Yan Huang, Jinming Xu
2025	C	`conf`	Distributed Personalized Optimization on Riemannian Manifolds with Gradient Tracking. ACC Yixian Zhao, Yan Huang, Haochang Zhang, Jinming Xu
2025	J	`jnl`	Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis. J. Mach. Learn. Res. Youcheng Niu, Jinming Xu, Ying Sun, Yan Huang, Li Chai
2025	J	`jnl`	Dyn-D CoRR Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu
2025	A*	`conf`	Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee. IJCAI Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu
2025	—	`conf`	Gradient-Free Cooperative Source Seeking with Input Saturation and Limited Communication. ECC Zhenghong Jin, Jinming Xu, Changyun Wen
2025	—	`conf`	Improved Convergence Rates for Distributed Bilevel Optimization via Moreau Smoothing under Polyak-Łojasiewicz Conditions. CDC Youcheng Niu, Jinming Xu, Ying Sun, Li Chai, Jiming Chen
2025	J	`jnl`	Multi-Robot Autonomous 3D Reconstruction Using Gaussian Splatting With Semantic Guidance. IEEE Robotics Autom. Lett. Jing Zeng, Qi Ye, Tianle Liu, Yang Xu, Jin Li, Jinming Xu, Liang Li, Jiming Chen
2025	C	`conf`	On the Convergence and Implementation of High-Order Primal Dual Algorithms for Affine-Constrained Convex Optimization. ACC Qiuchen Tian, Yixian Zhao, Jinming Xu, Li Chai
2025	J	`jnl`	Pareto-optimal Tradeoffs Between Communication and Computation with Flexible Gradient Tracking. CoRR Yan Huang, Jinming Xu, Li Chai, Jiming Chen, Karl Henrik Johansson
2025	A*	`conf`	TaskExp: Enhancing Generalization of Multi-Robot Exploration with Multi-Task Pre-Training. ICRA Shaohao Zhu, Yixian Zhao, Yang Xu, Anjun Chen, Jiming Chen, Jinming Xu
2025	J	`jnl`	VL-LN Bench: Towards Long-horizon Goal-oriented Navigation with Active Dialogs. CoRR Wensi Huang, Shaohao Zhu, Meng Wei, Jinming Xu, Xihui Liu, Hanqing Wang, Tai Wang, Feng Zhao, Jiangmiao Pang
2024	A*	`conf`	Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes. NeurIPS Yan Huang, Xiang Li, Yipeng Shen, Niao He, Jinming Xu
2024	J	`jnl`	Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes. CoRR Yan Huang, Xiang Li, Yipeng Shen, Niao He, Jinming Xu
2024	J	`jnl`	Distributed Optimization With Personalization: A Flexible Algorithmic Framework. IEEE Trans. Autom. Control. Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai, Li Chai
2024	J	`jnl`	Identifiability and Identification of Switching Dynamical Networks: A Data-Based Approach. IEEE Trans. Control. Netw. Syst. Weiyang Sun, Jinming Xu, Jiming Chen
2024	J	`jnl`	Lithography Hotspot Detection Based on Heterogeneous Federated Learning With Local Adaptation and Feature Selection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jingyu Pan, Xuezhong Lin, Jinming Xu, Yiran Chen, Cheng Zhuo
2024	A*	`conf`	MAexp: A Generic Platform for RL-based Multi-Agent Exploration. ICRA Shaohao Zhu, Jiacheng Zhou, Anjun Chen, Mingming Bai, Jiming Chen, Jinming Xu
2024	J	`jnl`	MAexp: A Generic Platform for RL-based Multi-Agent Exploration. CoRR Shaohao Zhu, Jiacheng Zhou, Anjun Chen, Mingming Bai, Jiming Chen, Jinming Xu
2024	J	`jnl`	Multi-robot autonomous 3D reconstruction using Gaussian splatting with Semantic guidance. CoRR Jing Zeng, Qi Ye, Tianle Liu, Yang Xu, Jin Li, Jinming Xu, Liang Li, Jiming Chen
2024	J	`jnl`	PerfTop: Towards performance prediction of distributed learning over general topology. J. Parallel Distributed Comput. Changzhi Yan, Zehan Zhu, Youcheng Niu, Cong Wang, Cheng Zhuo, Jinming Xu
2024	A	`conf`	Priority-Based Deadlock Recovery for Distributed Swarm Obstacle Avoidance in Cluttered Environments. IROS Jiacheng He, Fangguo Zhao, Shaohao Zhu, Shuo Li, Jinming Xu
2024	A*	`conf`	PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds. IJCAI Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu
2024	J	`jnl`	PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds. CoRR Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu
2024	J	`jnl`	R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking Over General Topology. IEEE Trans. Signal Inf. Process. over Networks Zehan Zhu, Ye Tian, Yan Huang, Jinming Xu, Shibo He
2024	J	`jnl`	Safeguard Vehicle Platooning Based on Resilient Control Against False Data Injection Attacks. IEEE Trans. Intell. Transp. Syst. Chengcheng Zhao, Ruijie Ma, Mengzhi Wang, Jinming Xu, Lin Cai
2024	C	`conf`	Topology Reconstruction of Heterogeneous Networked Dynamical Systems with Unknown Input Matrices. ACC Weiyang Sun, Jinming Xu, Jiming Chen
2023	—	`conf`	A Loopless Distributed Algorithm for Personalized Bilevel Optimization. CDC Youcheng Niu, Ying Sun, Yan Huang, Jinming Xu
2023	C	`conf`	Accurate and Robust State Estimation via Fusion of Visual-Inertial-UWB with Time Synchronization. IECON Zemin Liu, Mingming Bai, Jiacheng He, Xiufang Shi, Jinming Xu
2023	J	`jnl`	Aggressive Trajectory Generation for A Swarm of Autonomous Racing Drones. CoRR Yuyang Shen, Jinming Xu, Jin Zhou, Danzhe Xu, Fangguo Zhao, Jiming Chen, Shuo Li
2023	A	`conf`	Aggressive Trajectory Generation for a Swarm of Autonomous Racing Drones. IROS Yuyang Shen, Jin Zhou, Danzhe Xu, Fangguo Zhao, Jinming Xu, Ji-ming Chen, Shuo Li
2023	—	`conf`	Asynchronous Byzantine-Robust Stochastic Aggregation with Variance Reduction for Distributed Learning. CDC Zehan Zhu, Yan Huang, Chengcheng Zhao, Jinming Xu
2023	J	`jnl`	Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis. CoRR Youcheng Niu, Jinming Xu, Ying Sun, Yan Huang, Li Chai
2023	—	`conf`	Inducing Desired Equilibrium in Taxi Repositioning Problem with Adaptive Incentive Design. CDC Jianhui Li, Youcheng Niu, Shuang Li, Yuzhe Li, Jinming Xu, Junfeng Wu
2023	—	`conf`	On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach. CDC Yan Huang, Jinming Xu
2023	J	`jnl`	On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach. CoRR Yan Huang, Jinming Xu
2023	J	`jnl`	Robust Fully-Asynchronous Methods for Distributed Training over General Architecture. CoRR Zehan Zhu, Ye Tian, Yan Huang, Jinming Xu, Shibo He
2022	—	`conf`	Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation. ASP-DAC Xuezhong Lin, Jingyu Pan, Jinming Xu, Yiran Chen, Cheng Zhuo
2022	—	`conf`	On Necessary and Sufficient Conditions for Identifiability and Identification of Switching Dynamical Networks. CDC Weiyang Sun, Jinming Xu, Jiming Chen
2022	—	`conf`	Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks. CDC Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai
2022	A*	`conf`	Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology. ICML Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu
2022	J	`jnl`	Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology. CoRR Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu
2021	—	`conf`	A Decentralized Algorithm for Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems. CDC Zishun Liu, Shanying Zhu, Jinming Xu, Cailian Chen
2021	J	`jnl`	Decentralized Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems. CoRR Zishun Liu, Shanying Zhu, Jinming Xu, Cailian Chen
2021	J	`jnl`	Differentially Private Distributed Resource Allocation via Deviation Tracking. IEEE Trans. Signal Inf. Process. over Networks Tie Ding, Shanying Zhu, Cailian Chen, Jinming Xu, Xinping Guan
2021	J	`jnl`	Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis. IEEE Trans. Signal Process. Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
2021	J	`jnl`	Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation. CoRR Xuezhong Lin, Jingyu Pan, Jinming Xu, Yiran Chen, Cheng Zhuo
2021	J	`jnl`	Push-Pull Gradient Methods for Distributed Optimization in Networks. IEEE Trans. Autom. Control. Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
2020	—	`conf`	A Unified Algorithmic Framework for Distributed Composite Optimization. CDC Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
2020	A	`conf`	Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. AISTATS Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
2020	J	`jnl`	Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis. CoRR Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
2020	J	`jnl`	Privacy-Preserving Distributed Online Optimization Over Unbalanced Digraphs via Subgradient Rescaling. IEEE Trans. Control. Netw. Syst. Yongyang Xiong, Jinming Xu, Keyou You, Jianxing Liu, Ligang Wu
2019	J	`jnl`	A Dual Splitting Approach for Distributed Resource Allocation With Regularization. IEEE Trans. Control. Netw. Syst. Jinming Xu, Shanying Zhu, Yeng Chai Soh, Lihua Xie
2019	—	`conf`	A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization. CAMSAP Jinming Xu, Ying Sun, Ye Tian, Gesualdo Scutari
2019	J	`jnl`	Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. CoRR Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
2018	—	`conf`	A Push-Pull Gradient Method for Distributed Optimization in Networks. CDC Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
2018	J	`jnl`	A Push-Pull Gradient Method for Distributed Optimization in Networks. CoRR Shi Pu, Wei Shi, Jinming Xu, Angelia Nedich
2018	J	`jnl`	Push-Pull Gradient Methods for Distributed Optimization in Networks. CoRR Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic