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Yujie Tang
Yujie Tang
Department of Industrial Engineering & Management, Peking University
Bestätigte E-Mail-Adresse bei pku.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Real-time optimal power flow
Y Tang, K Dvijotham, S Low
IEEE Transactions on Smart Grid 8 (6), 2963-2973, 2017
2332017
Reinforcement learning for selective key applications in power systems: Recent advances and future challenges
X Chen, G Qu, Y Tang, S Low, N Li
IEEE Transactions on Smart Grid 13 (4), 2935-2958, 2022
211*2022
Distributed zero-order algorithms for nonconvex multiagent optimization
Y Tang, J Zhang, N Li
IEEE Transactions on Control of Network Systems 8 (1), 269-281, 2020
1032020
Feeder reconfiguration in distribution networks based on convex relaxation of OPF
Q Peng, Y Tang, SH Low
IEEE Transactions on Power Systems 30 (4), 1793-1804, 2014
982014
Distributed reinforcement learning for decentralized linear quadratic control: A derivative-free policy optimization approach
Y Li, Y Tang, R Zhang, N Li
IEEE Transactions on Automatic Control 67 (12), 6429-6444, 2021
882021
Optimal placement of energy storage in distribution networks
Y Tang, SH Low
IEEE Transactions on Smart Grid 8 (6), 3094-3103, 2017
562017
Analysis of the optimization landscape of Linear Quadratic Gaussian (LQG) control
Y Tang, Y Zheng, N Li
Mathematical Programming 202 (1), 399-444, 2023
55*2023
Running primal-dual gradient method for time-varying nonconvex problems
Y Tang, E Dall'Anese, A Bernstein, S Low
SIAM Journal on Control and Optimization 60 (4), 1970-1990, 2022
292022
On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation
YG Yujie Tang, Laming Chen
IEEE Transactions on Signal Processing 61 (17), 4372-4386, 2013
282013
Zeroth-order feedback optimization for cooperative multi-agent systems
Y Tang, Z Ren, N Li
Automatica 148, 110741, 2022
262022
Semi-global exponential stability of augmented primal–dual gradient dynamics for constrained convex optimization
Y Tang, G Qu, N Li
Systems & Control Letters 144, 104754, 2020
242020
Improve single-point zeroth-order optimization using high-pass and low-pass filters
X Chen, Y Tang, N Li
International Conference on Machine Learning, 3603-3620, 2022
18*2022
A feedback-based regularized primal-dual gradient method for time-varying nonconvex optimization
Y Tang, E Dall'Anese, A Bernstein, SH Low
2018 IEEE Conference on Decision and Control (CDC), 3244-3250, 2018
172018
Distributed algorithm for time-varying optimal power flow
Y Tang, S Low
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 3264-3270, 2017
162017
Time-varying optimization and its application to power system operation
Y Tang
California Institute of Technology, 2019
132019
Distributed reinforcement learning for decentralized linear quadratic control: A derivative-free policy optimization approach
Y Li, Y Tang, R Zhang, N Li
Learning for Dynamics and Control, 814-814, 2020
102020
Communication-efficient distributed SGD with compressed sensing
Y Tang, V Ramanathan, J Zhang, N Li
IEEE Control Systems Letters 6, 2054-2059, 2021
72021
Source seeking by dynamic source location estimation
T Zhang, V Qin, Y Tang, N Li
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
42021
On the Global Optimality of Direct Policy Search for Nonsmooth Output-Feedback Control
Y Tang, Y Zheng
2023 62nd IEEE Conference on Decision and Control (CDC), 6148-6153, 2023
32023
Escaping saddle points in zeroth-order optimization: the power of two-point estimators
Z Ren, Y Tang, N Li
The Fortieth International Conference on Machine Learning (ICML 2023), 2023
2*2023
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