Yujie Tang
Yujie Tang
Verified email at seas.harvard.edu
TitleCited byYear
Real-time optimal power flow
Y Tang, K Dvijotham, S Low
IEEE Transactions on Smart Grid 8 (6), 2963-2973, 2017
612017
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
412014
Optimal placement of energy storage in distribution networks
Y Tang, SH Low
IEEE Transactions on Smart Grid 8 (6), 3094-3103, 2017
292017
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
212013
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
52018
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
42018
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
42017
Distributed zero-order algorithms for nonconvex multi-agent optimization
Y Tang, N Li
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
22019
Semi-global exponential stability of primal-dual gradient dynamics for constrained convex optimization
Y Tang, G Qu, N Li
arXiv preprint arXiv:1903.09580, 2019
22019
Time-Varying Optimization and Its Application to Power System Operation
Y Tang
California Institute of Technology, 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
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
2019
Semi-Global Exponential Stability of Augmented Primal-Dual Gradient Dynamics for Constrained Convex Optimization
Y Tang, G Qu, N Li
arXiv preprint arXiv:1903.09580, 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
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Articles 1–14