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Jinlong Lei
Jinlong Lei
Department of Control Science and Engineering, Tongji University
Verified email at psu.edu
Title
Cited by
Cited by
Year
Primal-Dual Algorithm for Distributed Constrained Optimization
J Lei, HF Chen, HT Fang
Systems & Control Letters 96, Pages 110–117, 2016
902016
Distributed Resource Allocation Over Random Networks Based on Stochastic Approximation
P Yi, J Lei, Y Hong
Systems Control Letters 114, pp. 44-51, 2018
272018
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
252020
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
252018
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
202018
Dynamical primal-dual accelerated method with applications to network optimization
X Zeng, J Lei, J Chen
IEEE Transactions on Automatic Control, 2022
182022
Distributed randomized PageRank algorithm based on stochastic approximation
J Lei, HF Chen
IEEE Transactions on Automatic Control 60 (6), 1641-1646, 2014
162014
Asynchronous schemes for stochastic and misspecified potential games and nonconvex optimization
J Lei, UV Shanbhag
Operations Research 68 (6), 1742-1766, 2020
122020
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
92020
Distributed variable sample-size gradient-response and best-response schemes for stochastic Nash equilibrium problems over graphs
J Lei, UV Shanbhag
arXiv preprint arXiv:1811.11246, 2018
92018
Distributed stochastic approximation algorithm with expanding truncations: Algorithm and applications
J Lei, HF Chen
arXiv preprint arXiv:1410.7180, 2014
92014
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, 1-31, 2020
82020
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
82020
Distributed variable sample-size gradient-response and best-response schemes for stochastic Nash games over graphs
J Lei, UV Shanbhag
arXiv preprint arXiv:1811.11246, 2018
72018
On synchronous, asynchronous, and randomized best-response schemes for computing equilibria in stochastic Nash games
J Lei, UV Shanbhag, JS Pang, S Sen
arXiv preprint arXiv:1704.04578, 2017
72017
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
62015
Distributed stochastic approximation algorithm with expanding truncations
J Lei, HF Chen
IEEE Transactions on Automatic Control 65 (2), 664-679, 2019
52019
A randomized inexact proximal best-response scheme for potential stochastic Nash games
J Lei, UV Shanbhag
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1646-1651, 2017
52017
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
42020
Network linear equations with finite data rates
J Lei, P Yi, G Shi, BDO Anderson
2018 IEEE Conference on Decision and Control (CDC), 3373-3378, 2018
42018
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