Jinming Xu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Unified Framework

Exploration Exploitation Tradeoff

Resource Allocation

Stochastic Gradient

Top Venues

IEEE Trans. Control. Netw. Syst.

Publications

Jingyu Pan, Xuezhong Lin, Jinming Xu, Yiran Chen, Cheng Zhuo
Lithography Hotspot Detection Based on Heterogeneous Federated Learning With Local Adaptation and Feature Selection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (5) (2024)
Shaohao Zhu, Jiacheng Zhou, Anjun Chen, Mingming Bai, Jiming Chen, Jinming Xu
MAexp: A Generic Platform for RL-based Multi-Agent Exploration. CoRR (2024)
Shaohao Zhu, Jiacheng Zhou, Anjun Chen, Mingming Bai, Jiming Chen, Jinming Xu
MAexp: A Generic Platform for RL-based Multi-Agent Exploration. ICRA (2024)
Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds. CoRR (2024)
Youcheng Niu, Ying Sun, Yan Huang, Jinming Xu
A Loopless Distributed Algorithm for Personalized Bilevel Optimization. CDC (2023)
Yan Huang, Jinming Xu
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach. CoRR (2023)
Zehan Zhu, Yan Huang, Chengcheng Zhao, Jinming Xu
Asynchronous Byzantine-Robust Stochastic Aggregation with Variance Reduction for Distributed Learning. CDC (2023)
Yuyang Shen, Jinming Xu, Jin Zhou, Danzhe Xu, Fangguo Zhao, Jiming Chen, Shuo Li
Aggressive Trajectory Generation for A Swarm of Autonomous Racing Drones. CoRR (2023)
Youcheng Niu, Jinming Xu, Ying Sun, Yan Huang, Li Chai
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis. CoRR (2023)
Yan Huang, Jinming Xu
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach. CDC (2023)
Yuyang Shen, Jin Zhou, Danzhe Xu, Fangguo Zhao, Jinming Xu, Ji-Ming Chen, Shuo Li
Aggressive Trajectory Generation for a Swarm of Autonomous Racing Drones. IROS (2023)
Zehan Zhu, Ye Tian, Yan Huang, Jinming Xu, Shibo He
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture. CoRR (2023)
Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai
Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks. CDC (2022)
Weiyang Sun, Jinming Xu, Jiming Chen
On Necessary and Sufficient Conditions for Identifiability and Identification of Switching Dynamical Networks. CDC (2022)
Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology. ICML (2022)
Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology. CoRR (2022)
Xuezhong Lin, Jingyu Pan, Jinming Xu, Yiran Chen, Cheng Zhuo
Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation. ASP-DAC (2022)
Tie Ding, Shanying Zhu, Cailian Chen, Jinming Xu, Xinping Guan
Differentially Private Distributed Resource Allocation via Deviation Tracking. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Zishun Liu, Shanying Zhu, Jinming Xu, Cailian Chen
Decentralized Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems. CoRR (2021)
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
Push-Pull Gradient Methods for Distributed Optimization in Networks. IEEE Trans. Autom. Control. 66 (1) (2021)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis. IEEE Trans. Signal Process. 69 (2021)
Zishun Liu, Shanying Zhu, Jinming Xu, Cailian Chen
A Decentralized Algorithm for Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems. CDC (2021)
Xuezhong Lin, Jingyu Pan, Jinming Xu, Yiran Chen, Cheng Zhuo
Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation. CoRR (2021)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. AISTATS (2020)
Yongyang Xiong, Jinming Xu, Keyou You, Jianxing Liu, Ligang Wu
Privacy-Preserving Distributed Online Optimization Over Unbalanced Digraphs via Subgradient Rescaling. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
A Unified Algorithmic Framework for Distributed Composite Optimization. CDC (2020)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis. CoRR (2020)
Jinming Xu, Shanying Zhu, Yeng Chai Soh, Lihua Xie
A Dual Splitting Approach for Distributed Resource Allocation With Regularization. IEEE Trans. Control. Netw. Syst. 6 (1) (2019)
Jinming Xu, Ying Sun, Ye Tian, Gesualdo Scutari
A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization. CAMSAP (2019)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. CoRR (2019)
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
A Push-Pull Gradient Method for Distributed Optimization in Networks. CDC (2018)
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
Push-Pull Gradient Methods for Distributed Optimization in Networks. CoRR (2018)
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedich
A Push-Pull Gradient Method for Distributed Optimization in Networks. CoRR (2018)