Sotabase

Career

· Assistant Professor, Carnegie Mellon University2021–
· CMI and Resnick Postdoctoral Scholar, California Institute of Technology2019–2021
· Ph.D. in Applied Mathematics, Harvard University2014–2019
· B.S. in Electrical Engineering, Tsinghua University2010–2014

Publications (0)

Harnessing smoothness to accelerate distributed optimization
IEEE Conference on Decision and Control · 2016
623
cited
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
IEEE Transactions on Smart Grid · 2021
318
cited
Accelerated Distributed Nesterov Gradient Descent
IEEE Transactions on Automatic Control · 2017
245
cited
On the Exponential Stability of Primal-Dual Gradient Dynamics
IEEE Control Systems Letters · 2018
152
cited
Optimal Scheduling of Battery Charging Station Serving Electric Vehicles Based on Battery Swapping
IEEE Transactions on Smart Grid · 2019
135
cited
Real-time decentralized voltage control in distribution networks
Allerton Conference on Communication, Control, and Computing · 2014
129
cited
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
Robotics · 2025
121
cited
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning
Annual Conference Computational Learning Theory · 2020
121
cited
Optimal Distributed Feedback Voltage Control Under Limited Reactive Power
IEEE Transactions on Power Systems · 2018
109
cited
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems
Conference on Learning for Dynamics & Control · 2019
106
cited
Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit
IEEE Transactions on Automatic Control · 2018
91
cited
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
Neural Information Processing Systems · 2020
81
cited
Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks
IEEE International Conference on Smart Grid Communications · 2020
79
cited
Distributed Optimal Voltage Control With Asynchronous and Delayed Communication
IEEE Transactions on Smart Grid · 2019
66
cited
Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision
arXiv.org · 2021
66
cited
An accurate traffic classification model based on support vector machines
International Journal of Network Management · 2017
62
cited
Sidelobe Reductions of Antenna Arrays via an Improved Chicken Swarm Optimization Approach
IEEE Access · 2020
60
cited
Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions
at - Automatisierungstechnik · 2019
58
cited
Stability Constrained Reinforcement Learning for Real-Time Voltage Control
American Control Conference · 2021
55
cited
Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing
IEEE International Conference on Robotics and Automation · 2024
54
cited
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