Jinming Xu – Publications

Journal Articles + ML Conferences

• [C15] Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu, “Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology,” Proceedings of the 39th International Conference on Machine Learning (ICML), PMLR 162:9310-9345, 2022. [pdf]
  

• [J10] Jinming Xu, Ye Tian, Ying Sun and Gesualdo Scutari, “Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis,” IEEE Transactions on Signal Processing, vol. 69, pp. 3555-3570, 2021. [pdf]
  

• [J9] Tie Ding, Shanying Zhu, Cailian Chen, Jinming Xu and Xinping Guan, “Differentially Private Distributed Resource Allocation via Deviation Tracking,” IEEE Transactions on Signal and Information Processing over Networks, vol. 7: 222-235, 2021.

• [C12] Jinming Xu, Ye Tian, Ying Sun and Gesualdo Scutari, “Accelerated primal-dual algorithms for distributed optimization over networks,” In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), Italy, pp. 2381-2391, 2020. [pdf]
  

• [J8] Yongyang Xiong, Jinming Xu, Keyou You, Jianxing Liu, and Ligang Wu, “Privacy Preserving Distributed Online Optimization over Unbalanced Digraphs via Subgradient Rescaling,” IEEE Transactions on Control of Network Systems, vol. 7, no. 3, pp. 1366-1378, 2020. online available: [pdf]
  

• [J7] Shi Pu, Wei Shi, Jinming Xu, Angelia Nedich,“Push-Pull Gradient Methods for Distributed Optimization in Networks,” IEEE Transactions on Automatic Control (Regular), vol. 66, no. 1, pp. 1-16, 2020; online available: [pdf]
  

• [J6] Jinming Xu, Shanying Zhu, Yeng Chai Soh and Lihua Xie, “A Dual Splitting Approach for Distributed Resource Allocation with Regularization,” IEEE Transactions on Control of Network Systems, vol. 6, no. 1: 403-414, 2019. [pdf]
  

• [J5] Jinming Xu, Shanying Zhu, Yeng Chai Soh and Lihua Xie, “A Bregman Splitting Scheme for Distributed Optimization Problems over Networks,” IEEE Transactions on Automatic Control (Regular), vol. 63, no. 11, pp. 3809-3824, 2018. [pdf]
  

• [J4] Shanying Zhu, Cailian Chen, Jinming Xu, Lihua Xie and Johansson Karl Henrik, “Mitigating Quantization Effects on Distributed Sensor Fusion: A Least Squares Approach,” IEEE Transactions on Signal Processing, vol. 66, no. 13, pp. 3459-3474, 2018. [pdf]
  

• [J3] Jinming Xu, Shanying Zhu, Yeng Chai Soh and Lihua Xie,“Convergence of Asynchronous Distributed Gradient Methods over Stochastic Networks,” IEEE Transactions on Automatic Control (Regular), vol. 63, no. 2, pp. 434-448, 2018. [pdf]
  

• [J2] Jinming Xu and Yeng Chai Soh, “A Distributed Simultaneous Perturbation Approach for Large-scale Dynamic Optimization Problems,” Automatica (Regular) 72 (2016): 194-204. [pdf]
  

• [J1] Zhenghua Chen , Jinming Xu, Yeng Chai Soh, “Modeling Regular Occupancy in Commercial Buildings Using Stochastic Models,” Energy and Buildings 103 (2015): 216-223. [pdf]

Conference Proceedings

• [C17] Weiyang Sun, Jinming Xu, Jiming Chen, “On Necessary and Sufficient Conditions for Identifiability and Identification of Switching Dynamical Networks,” In Proceedings of 60th IEEE Conference on Decision and Control (CDC), Mexico, USA, 2022, accepted.

• [C16] Yan Huang, Jinming Xu, Wenchao Meng and Hoi-To Wai, “Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks,” In Proceedings of 60th IEEE Conference on Decision and Control (CDC), Mexico, USA, 2022, accepted.

• [C14] Xuezhong Lin, Jingyu Pan, Jinming Xu, Yiran Chen and Cheng Zhuo, “Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation,” 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 2022.

• [C13] Liu, Zishun, Shanying Zhu, Jinming Xu, and Cailian Chen, “Decentralized Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems,” In Proceedings of 60th IEEE Conference on Decision and Control (CDC), Austin, USA, 2021.

• [C11] Jinming Xu, Ye Tian, Ying Sun and Gesualdo Scutari, “A unified algorithmic framework for distributed composite optimization,” In Proceedings of 59th IEEE Conference on Decision and Control (CDC), Jeju, Korea, pp. 2309-2316, 2020.
  

• [C10] Zhibin Wang, Jinming Xu, Shanying Zhu, and Cailian Chen, “A dual splitting method for distributed economic dispatch in multi-energy systems,” In Proceedings of 21st IFAC World Congress, Berlin (Virtual), Germany, pp. 12566-12571, 2020.
  

• [C9] Jinming Xu, Ying Sun, Ye Tian and Gesualdo Scutari,“A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization,” IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019.
  

• [C8] Shi Pu, Wei Shi, Jinming Xu, Angelia Nedich,“A Push-Pull Gradient Method for Distributed Optimization in Networks,” In Proceedings of 57th IEEE Conference on Decision and Control (CDC), 2018.
  

• [C7] Jinming Xu, Shanying Zhu, Yeng Chai Soh and Lihua Xie, “A Dual Splitting Algorithm for Distributed Resource Allocation Problems,”, In Proceedings of 56th IEEE Conference on Decision and Control (CDC), 2017.
  

• [C6] Shanying Zhu, Jinming Xu, Cailian Chen, Xinping Guan and Binqiang Xue, “DINS: A Scheme for Distributed Sensor Fusion over Fading Channels,” IFAC-PapersOnLine 50(1), 2017: 14284-14289.
  

• [C5] Jinming Xu, Shanying Zhu, Yeng Chai Soh and Lihua Xie, “A Forward-Backward Bregman Splitting Scheme for Regularized Distributed Optimization Problems,” In Proceedings of 55th IEEE Conference on Decision and Control (CDC), 2016.
  

• [C4] Shanying Zhu, Jinming Xu, Cailian Chen and Xinping Guan, “A Least Square Approach for Distributed Sensor Fusion in Bandwidth-constrained Sensor Networks,” In Proceedings of 41st IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.
  

• [C3] Shanying Zhu, Shuai Liu, Jinming Xu, Yeng Chai Soh, and Lihua Xie, “Averaging based distributed estimation algorithm for rate-constrained sensor networks with additive quantization model,” In Proceedings of 54th IEEE Conference on Decision and Control (CDC), 2015.
  

• [C2] Jinming Xu, Shanying Zhu, Yeng Chai Soh and Lihua Xie, “Augmented Distributed Gradient Methods for Multi-agent Optimization under Uncoordinated Constant Stepsizes,” In Proceedings of 54th IEEE Conference on Decision and Control (CDC), 2015.
  

• [C1] Jinming Xu and Yeng Chai Soh, “Distributed Extremum Seeking Control of Networked Large-scale Systems under Constraints,” In Proceedings of 52nd IEEE Conference on Decision and Control (CDC), 2013.
  

Thesis

Jinming Xu, ‘‘Augmented Distributed Optimization for Networked Systems,’’ PhD thesis, Nanyang Technological University, 2016