1 citations · 1 across the 3 of their papers we have counts for
5 papers
Prediction-Specific Design of Learning-Augmented Algorithms
Sizhe Li, Nicolas Christianson, Tongxin Li
Algorithms with predictions} has emerged as a powerful framework to combine the robustness of traditional online algorithms with the data-driven performance benefits of machine-lea…
System-Level Performance and Communication Tradeoff in Networked Control with Predictions
Yifei Wu, Jing Yu, Tongxin Li
Distributed control of large-scale systems is challenging due to the need for scalable and localized communication and computation. In this work, we introduce a Predictive System-L…
Learning-Augmented Control: Adaptively Confidence Learning for Competitive MPC
Tongxin Li
We introduce Learning-Augmented Control (LAC), an approach that integrates untrusted machine learning predictions into the control of constrained, nonlinear dynamical systems. LAC…
Quantum Learning and Estimation for Coordinated Operation between Distribution Networks and Energy Communities
Yingrui Zhuang, Lin Cheng, Yuji Cao +4
Price signals from distribution networks (DNs) guide energy communities (ECs) in adjusting their energy usage, enabling effective coordination for reliable power system operation.…
Out-of-Distribution-Aware Electric Vehicle Charging
Tongxin Li, Chenxi Sun
We tackle the challenge of learning to charge Electric Vehicles (EVs) with Out-of-Distribution (OOD) data. Traditional scheduling algorithms typically fail to balance near-optimal…