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
1232017
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
592014
Optimal placement of energy storage in distribution networks
Y Tang, SH Low
IEEE Transactions on Smart Grid 8 (6), 3094-3103, 2017
402017
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
292020
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
252013
Distributed reinforcement learning for decentralized linear quadratic control: A derivative-free policy optimization approach
Y Li, Y Tang, R Zhang, N Li
arXiv preprint arXiv:1912.09135, 2019
232019
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
232018
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
132018
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
92017
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
72020
Time-varying optimization and its application to power system operation
Y Tang
California Institute of Technology, 2019
72019
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
62021
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems
Y Tang, Z Ren, N Li
arXiv preprint arXiv:2011.09728, 2020
22020
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
Y Zheng, Y Tang, N Li
arXiv preprint arXiv:2102.04393, 2021
12021
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
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
Y Tang, Y Zheng, N Li
Learning for Dynamics and Control, 599-610, 2021
2021
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
2019
A Primal-Dual Gradient Method for Time-Varying Optimization with Application to Power Systems
Y Tang, E Dall'Anese, A Bernstein, SH Low
ACM SIGMETRICS Performance Evaluation Review 46 (3), 92-92, 2019
2019
Source Seeking by Dynamic Source Location Estimation
T Zhang, V Qin, Y Tang, N Li
The system can't perform the operation now. Try again later.
Articles 1–19