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Yujie Tang
Yujie Tang
Department of Industrial Engineering & Management, Peking University
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Real-time optimal power flow
Y Tang, K Dvijotham, S Low
IEEE Transactions on Smart Grid 8 (6), 2963-2973, 2017
2002017
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, 2022
115*2022
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
842014
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
732020
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
692021
Optimal placement of energy storage in distribution networks
Y Tang, SH Low
IEEE Transactions on Smart Grid 8 (6), 3094-3103, 2017
502017
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
Y Zheng, Y Tang, N Li
arXiv preprint arXiv:2102.04393, 2021
37*2021
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
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
252022
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
172020
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
152018
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
142017
Zeroth-order feedback optimization for cooperative multi-agent systems
Y Tang, Z Ren, N Li
Automatica 148, 110741, 2022
112022
Time-varying optimization and its application to power system operation
Y Tang
California Institute of Technology, 2019
102019
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
8*2022
Communication-efficient distributed SGD with compressed sensing
Y Tang, V Ramanathan, J Zhang, N Li
IEEE Control Systems Letters 6, 2054-2059, 2021
32021
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
22021
Escaping saddle points in zeroth-order optimization: two function evaluations suffice
Z Ren, Y Tang, N Li
arXiv preprint arXiv:2209.13555, 2022
12022
Distributed Information-based Source Seeking
T Zhang, V Qin, Y Tang, N Li
arXiv preprint arXiv:2209.09421, 2022
12022
A second-order saddle point method for time-varying optimization
Y Tang, S Low
2019 IEEE 58th Conference on Decision and Control (CDC), 3928-3935, 2019
12019
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