Jinlong Lei
Jinlong Lei
Department of Control Science and Engineering, Tongji University
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Primal-Dual Algorithm for Distributed Constrained Optimization
J Lei, HF Chen, HT Fang
Systems & Control Letters 96, Pages 110–117, 2016
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
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
Distributed Resource Allocation Over Random Networks Based on Stochastic Approximation
P Yi, J Lei, Y Hong
Systems Control Letters 114, pp. 44-51, 2018
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
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
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
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
Asynchronous schemes for stochastic and misspecified potential games and nonconvex optimization
J Lei, UV Shanbhag
Operations Research 68 (6), 1742-1766, 2020
Distributed randomized PageRank algorithm based on stochastic approximation
J Lei, HF Chen
IEEE Transactions on Automatic Control 60 (6), 1641-1646, 2014
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
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
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
Stochastic Nash equilibrium problems: Models, analysis, and algorithms
J Lei, UV Shanbhag
IEEE Control Systems Magazine 42 (4), 103-124, 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
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
Distributed stochastic approximation algorithm with expanding truncations: Algorithm and applications
J Lei, HF Chen
arXiv preprint arXiv:1410.7180, 2014
Distributed stochastic approximation algorithm with expanding truncations
J Lei, HF Chen
IEEE Transactions on Automatic Control 65 (2), 664-679, 2019
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
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
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