Linear convergence of first-and zeroth-order primal–dual algorithms for distributed nonconvex optimization X Yi, S Zhang, T Yang, T Chai, KH Johansson IEEE Transactions on Automatic Control 67 (8), 4194-4201, 2021 | 33 | 2021 |
A primal-dual SGD algorithm for distributed nonconvex optimization X Yi, S Zhang, T Yang, T Chai, KH Johansson IEEE/CAA Journal of Automatica Sinica 9 (5), 812-833, 2022 | 27 | 2022 |
Zeroth-Order Algorithms for Stochastic Distributed Nonconvex Optimization X Yi, S Zhang, T Yang, KH Johansson arXiv preprint arXiv:2106.02958, 2021 | 19 | 2021 |
Event-triggered distributed optimization algorithms T Yang, L Xu, X Yi, SJ Zhang, RJ Chen, YZ Li Zidonghua Xuebao/Acta Automatica Sinica 48 (1), 133-143, 2022 | 17 | 2022 |
Variance aware reward smoothing for deep reinforcement learning Y Dong, S Zhang, X Liu, Y Zhang, T Shen Neurocomputing 458, 327-335, 2021 | 16 | 2021 |
Obstacle avoidance and navigation utilizing reinforcement learning with reward shaping D Zhang, CP Bailey Artificial intelligence and machine learning for multi-domain operations …, 2020 | 13 | 2020 |
Exponential convergence for distributed optimization under the restricted secant inequality condition X Yi, S Zhang, T Yang, T Chai, KH Johansson IFAC-PapersOnLine 53 (2), 2672-2677, 2020 | 12 | 2020 |
Communication compression for distributed nonconvex optimization X Yi, S Zhang, T Yang, T Chai, KH Johansson IEEE Transactions on Automatic Control 68 (9), 5477-5492, 2022 | 11 | 2022 |
Computational convergence analysis of distributed optimization algorithms for directed graphs S Zhang, X Yi, J George, T Yang 2019 IEEE 15th International Conference on Control and Automation (ICCA …, 2019 | 9 | 2019 |
A magnetic nanoparticle based nucleic acid isolation and purification instrument for DNA extraction of Escherichia coli O157: H7 Y Chen, J Lin, Q Jiang, Q Chen, S Zhang, L Li Journal of Nanoscience and Nanotechnology 16 (3), 2296-2300, 2016 | 8 | 2016 |
Accelerated zeroth-order algorithm for stochastic distributed non-convex optimization S Zhang, CP Bailey 2022 American Control Conference (ACC), 4274-4279, 2022 | 4 | 2022 |
Zeroth-order stochastic coordinate methods for decentralized non-convex optimization S Zhang, T Shen, H Sun, Y Dong, D Xie, H Zhang arXiv preprint arXiv:2204.04743, 2022 | 4 | 2022 |
基于事件触发的分布式优化算法 杨涛, 徐磊, 易新蕾, 张圣军, 陈蕊娟, 李渝哲 自动化学报 48 (1), 133-143, 2022 | 4 | 2022 |
Communication compression for decentralized nonconvex optimization X Yi, S Zhang, T Yang, T Chai, KH Johansson arXiv preprint, 2022 | 4 | 2022 |
Accelerated primal-dual algorithm for distributed non-convex optimization S Zhang, CP Bailey 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-08, 2021 | 4 | 2021 |
Sublinear and linear convergence of modified ADMM for distributed nonconvex optimization X Yi, S Zhang, T Yang, T Chai, KH Johansson IEEE Transactions on Control of Network Systems 10 (1), 75-86, 2022 | 3 | 2022 |
Convergence analysis of nonconvex distributed stochastic zeroth-order coordinate method S Zhang, Y Dong, D Xie, L Yao, CP Bailey, S Fu 2021 60th IEEE Conference on Decision and Control (CDC), 1180-1185, 2021 | 3 | 2021 |
Linear convergence for distributed optimization without strong convexity X Yi, S Zhang, T Yang, T Chai, KH Johansson 2020 59th IEEE Conference on Decision and Control (CDC), 3643-3648, 2020 | 3 | 2020 |
Event-triggered control for consensus of multi-agent systems with nonlinear output and directed topologies X Yi, S Zhang, T Yang, J Wu, KH Johanssonl 2019 Chinese Control Conference (CCC), 5721-5726, 2019 | 2 | 2019 |
Event-Triggered Proportional-Integral Algorithms for Distributed Optimization W Du, X Yi, S Zhang, J George, T Yang | 2 | 2019 |