| Primal-Dual Algorithm for Distributed Constrained Optimization J Lei, HF Chen, HT Fang Systems & Control Letters 96, Pages 110–117, 2016 | 135 | 2016 |
| Dynamical primal-dual Nesterov accelerated method and its application to network optimization X Zeng, J Lei, J Chen IEEE Transactions on Automatic Control 68 (3), 1760-1767, 2022 | 73 | 2022 |
| On synchronous, asynchronous, and randomized best-response schemes for stochastic Nash games J Lei, UV Shanbhag, JS Pang, S Sen Mathematics of Operations Research 45 (1), 157-190, 2020 | 66 | 2020 |
| Asymptotic properties of primal-dual algorithm for distributed stochastic optimization over random networks with imperfect communications J Lei, HF Chen, HT Fang SIAM Journal on Control and Optimization 56 (3), 2159-2188, 2018 | 48 | 2018 |
| Distributed Resource Allocation Over Random Networks Based on Stochastic Approximation P Yi, J Lei, Y Hong Systems Control Letters 114, pp. 44-51, 2018 | 43 | 2018 |
| Distributed variable sample-size gradient-response and best-response schemes for stochastic Nash equilibrium problems J Lei, UV Shanbhag SIAM Journal on Optimization 32 (2), 573-603, 2022 | 39* | 2022 |
| Linearly convergent variable sample-size schemes for stochastic Nash games: Best-response schemes and distributed gradient-response schemes J Lei, UV Shanbhag 2018 IEEE Conference on Decision and Control (CDC), 3547-3552, 2018 | 35 | 2018 |
| A linearly convergent distributed Nash equilibrium seeking algorithm for aggregative games S Huang, J Lei, Y Hong IEEE Transactions on Automatic Control 68 (3), 1753-1759, 2022 | 31 | 2022 |
| Distributed algorithms with finite data rates that solve linear equations J Lei, P Yi, G Shi, BDO Anderson SIAM Journal on Optimization 30 (2), 1191-1222, 2020 | 27 | 2020 |
| Distributed computation of Nash equilibria for monotone aggregative games via iterative regularization J Lei, UV Shanbhag, J Chen 2020 59th IEEE conference on decision and control (CDC), 2285-2290, 2020 | 26 | 2020 |
| Asynchronous schemes for stochastic and misspecified potential games and nonconvex optimization J Lei, UV Shanbhag Operations Research 68 (6), 1742-1766, 2020 | 26 | 2020 |
| Distributed randomized PageRank algorithm based on stochastic approximation J Lei, HF Chen IEEE Transactions on Automatic Control 60 (6), 1641-1646, 2014 | 22 | 2014 |
| Online convex optimization over Erdos-Rényi random networks J Lei, P Yi, Y Hong, J Chen, G Shi Advances in neural information processing systems 33, 15591-15601, 2020 | 19 | 2020 |
| Stochastic Nash equilibrium problems: Models, analysis, and algorithms J Lei, UV Shanbhag IEEE Control Systems Magazine 42 (4), 103-124, 2022 | 17 | 2022 |
| Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes J Lei, UV Shanbhag Optimization Methods and Software 37 (1), 264-294, 2022 | 17 | 2022 |
| Distributed variable sample-size stochastic optimization with fixed step-sizes J Lei, P Yi, J Chen, Y Hong IEEE Transactions on Automatic Control 67 (10), 5630-5637, 2022 | 16 | 2022 |
| A survey on noncooperative games and distributed Nash equilibrium seeking over multi-agent networks P Yi, J Lei, X Li, S Liang, M Meng, J Chen CAAI Artificial Intelligence Research 1 (1), 8-27, 2022 | 10 | 2022 |
| Distributed stochastic approximation algorithm with expanding truncations J Lei, HF Chen IEEE Transactions on Automatic Control 65 (2), 664-679, 2019 | 10 | 2019 |
| Distributed linear equations over random networks P Yi, J Lei, J Chen, Y Hong, G Shi IEEE Transactions on Automatic Control 68 (4), 2607-2614, 2022 | 9 | 2022 |
| Distributed stochastic approximation algorithm with expanding truncations: Algorithm and applications J Lei, HF Chen arXiv preprint arXiv:1410.7180, 2014 | 9 | 2014 |
Peng Yi(衣鹏)Professor at Tongji UniversityE-mail megerősítve itt: tongji.edu.cn
