Yujie Tang

Orcid: 0000-0002-4921-8372

Affiliations:
  • Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
  • California Institute of Technology, Pasadena, CA, USA (PhD 2019)
  • Tsinghua University, Beijing, China (former)


According to our database1, Yujie Tang authored at least 27 papers between 2013 and 2024.

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Bibliography

2024
Dynamic Control and Time-Delayed Channel Scheduling Co-Design for Voltage Control in Active Distribution Networks.
IEEE Trans. Smart Grid, 2024

Benign Nonconvex Landscapes in Optimal and Robust Control, Part II: Extended Convex Lifting.
CoRR, 2024

2023
Distributed Information-Based Source Seeking.
IEEE Trans. Robotics, December, 2023

Analysis of the optimization landscape of Linear Quadratic Gaussian (LQG) control.
Math. Program., November, 2023

Zeroth-order feedback optimization for cooperative multi-agent systems.
Autom., February, 2023

Benign Nonconvex Landscapes in Optimal and Robust Control, Part I: Global Optimality.
CoRR, 2023

Escaping saddle points in zeroth-order optimization: the power of two-point estimators.
Proceedings of the International Conference on Machine Learning, 2023

On the Global Optimality of Direct Policy Search for Nonsmooth $\mathcal{H}_{\infty}$ Output-Feedback Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges.
IEEE Trans. Smart Grid, 2022

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach.
IEEE Trans. Autom. Control., 2022

Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems.
SIAM J. Control. Optim., 2022

Communication-Efficient Distributed SGD With Compressed Sensing.
IEEE Control. Syst. Lett., 2022

Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters.
Proceedings of the International Conference on Machine Learning, 2022

2021
Distributed Zero-Order Algorithms for Nonconvex Multiagent Optimization.
IEEE Trans. Control. Netw. Syst., 2021

Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision.
CoRR, 2021

Source Seeking by Dynamic Source Location Estimation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization.
Syst. Control. Lett., 2020

2019
Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization.
CoRR, 2019

A Second-Order Saddle Point Method for Time-Varying Optimization.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed Zero-Order Algorithms for Nonconvex Multi-Agent optimization.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
A Primal-Dual Gradient Method for Time-Varying Optimization with Application to Power Systems.
SIGMETRICS Perform. Evaluation Rev., 2018

A Feedback-Based Regularized Primal-Dual Gradient Method for Time-Varying Nonconvex Optimization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Optimal Placement of Energy Storage in Distribution Networks.
IEEE Trans. Smart Grid, 2017

Real-Time Optimal Power Flow.
IEEE Trans. Smart Grid, 2017

Real-time OPF based on quasi-Newton methods.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Distributed algorithm for time-varying optimal power flow.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2013
On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation.
IEEE Trans. Signal Process., 2013


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