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Yujie Tang
Yujie Tang
School of Engineering and Applied Sciences, Harvard University
Verified email at seas.harvard.edu - 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
1672017
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
722014
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
502020
Optimal placement of energy storage in distribution networks
Y Tang, SH Low
IEEE Transactions on Smart Grid 8 (6), 3094-3103, 2017
482017
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, 2021
442021
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
272013
Reinforcement learning for decision-making and control in power systems: Tutorial, review, and vision
X Chen, G Qu, Y Tang, S Low, N Li
arXiv preprint arXiv:2102.01168, 2021
262021
Running primal-dual gradient method for time-varying nonconvex problems
Y Tang, E Dall'Anese, A Bernstein, S Low
arXiv preprint arXiv:1812.00613, 2018
252018
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
Y Zheng, Y Tang, N Li
arXiv preprint arXiv:2102.04393, 2021
16*2021
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
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
112020
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
112017
Time-varying optimization and its application to power system operation
Y Tang
California Institute of Technology, 2019
92019
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems
Y Tang, Z Ren, N Li
arXiv preprint arXiv:2011.09728, 2020
72020
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
62022
Improve single-point zeroth-order optimization using high-pass and low-pass filters
X Chen, Y Tang, N Li
arXiv e-prints, arXiv: 2111.01701, 2021
4*2021
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
12021
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
Real-time OPF based on quasi-Newton methods
Y Tang, K Dvijotham, S Low
2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-1, 2017
12017
Communication-efficient distributed SGD with compressed sensing
Y Tang, V Ramanathan, J Zhang, N Li
IEEE Control Systems Letters 6, 2054-2059, 2021
2021
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Articles 1–20