Primal-Dual Algorithm for Distributed Constrained Optimization J Lei, HF Chen, HT Fang Systems & Control Letters 96, Pages 110–117, 2016 | 129 | 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 | 61 | 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 | 61 | 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 | 41 | 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 | 39 | 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 | 35* | 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 | 33 | 2018 |
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 | 25 | 2020 |
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 | 24 | 2020 |
Asynchronous schemes for stochastic and misspecified potential games and nonconvex optimization J Lei, UV Shanbhag Operations Research 68 (6), 1742-1766, 2020 | 23 | 2020 |
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 | 22 | 2022 |
Distributed randomized PageRank algorithm based on stochastic approximation J Lei, HF Chen IEEE Transactions on Automatic Control 60 (6), 1641-1646, 2014 | 21 | 2014 |
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 | 15 | 2022 |
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 | 15 | 2020 |
Stochastic Nash equilibrium problems: Models, analysis, and algorithms J Lei, UV Shanbhag IEEE Control Systems Magazine 42 (4), 103-124, 2022 | 14 | 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 | 13 | 2022 |
Distributed stochastic approximation algorithm with expanding truncations: Algorithm and applications J Lei, HF Chen arXiv preprint arXiv:1410.7180, 2014 | 9 | 2014 |
Distributed stochastic approximation algorithm with expanding truncations J Lei, HF Chen IEEE Transactions on Automatic Control 65 (2), 664-679, 2019 | 8 | 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 | 7 | 2022 |
Distributed estimation for parameter in heterogeneous linear time-varying models with observations at network sensors J Lei, HF Chen Communications in Information and Systems 15 (4), 423-451, 2015 | 7 | 2015 |