Tongxin Li

According to our database, Tongxin Li authored at least 48 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Bridging Natural Language and Microgrid Dynamics: A Context-Aware Simulator and Dataset.

Tinko Sebastian Bartels, Ruixiang Wu, Xinyu Lu, Yikai Lu, Fanzeng Xia, Haoxiang Yang, Yue Chen, Tongxin Li

CoRR, April, 2026

Prediction-Specific Design of Learning-Augmented Algorithms.

Sizhe Li, Nicolas Christianson, Tongxin Li

Proceedings of the Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2026

Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning.

Xudong Wang, Guoming Tang, Junyu Xue, Srinivasan Keshav, Tongxin Li, Chris Ding

Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 2026

Adaptive Riemannian Graph Neural Networks.

Xudong Wang, Chris Ding, Tongxin Li, Jicong Fan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Power Grid Control.

Ruixiang Wu, Jiahao Ai, Tinko Sebastian Bartels, Tongxin Li

CoRR, December, 2025

DualNILM: Energy Injection Identification Enabled Disaggregation with Deep Multi-Task Learning.

Xudong Wang, Guoming Tang, Junyu Xue, Srinivasan Keshav, Tongxin Li, Chris Ding

CoRR, August, 2025

System-Level Performance and Communication Tradeoff in Networked Control with Predictions.

Yifei Wu, Jing Yu, Tongxin Li

CoRR, August, 2025

DCT-MARL: A Dynamic Communication Topology-Based MARL Algorithm for Connected Vehicle Platoon Control.

Yaqi Xu, Yan Shi, Jin Tian, Fanzeng Xia, Tongxin Li, Shanzhi Chen, Yuming Ge

CoRR, August, 2025

Learning-Augmented Control: Adaptively Confidence Learning for Competitive MPC.

Tongxin Li

CoRR, July, 2025

Quantum Learning and Estimation for Distribution Networks and Energy Communities Coordination.

Yingrui Zhuang, Lin Cheng, Yuji Cao, Tongxin Li, Ning Qi, Yan Xu, Yue Chen

CoRR, June, 2025

Rethinking the Unsolvable: When In-Context Search Meets Test-Time Scaling.

Fanzeng Xia, Yidong Luo, Tinko Sebastian Bartels, Yaqi Xu, Tongxin Li

CoRR, May, 2025

Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach.

Chenbei Lu, Zaiwei Chen, Tongxin Li, Chenye Wu, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Open In-Context Energy Management Platform.

Yikai Lu, Tinko Sebastian Bartels, Ruixiang Wu, Fanzeng Xia, Xudong Wang, Yifei Wu, Haoxiang Yang, Tongxin Li

Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025

Learning-Augmented Online Control for Decarbonizing Water Infrastructures.

Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren

Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025

PredSLS: A System-Level Framework for Distributed Predictive Control.

Yifei Wu, Jing Yu, Tongxin Li

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control.

Ruixiang Wu, Jiahao Ai, Tongxin Li

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents.

Fanzeng Xia, Hao Liu, Yisong Yue, Tongxin Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Data-Driven Approach for Optimizing Early-Stage Electric Vehicle Charging Station Placement.

Chenxi Sun, Tongxin Li, Xiaoying Tang

IEEE Trans. Ind. Informatics, October, 2024

Behavior-Aware Efficient Detection of Malicious EVs in V2G Systems.

Ruixiang Wu, Xudong Wang, Tongxin Li

CoRR, 2024

Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents.

Fanzeng Xia, Hao Liu, Yisong Yue, Tongxin Li

CoRR, 2024

Disentangling Linear Quadratic Control with Untrusted ML Predictions.

Tongxin Li, Hao Liu, Yisong Yue

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Safe Exploitative Play with Untrusted Type Beliefs.

Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Building Socially-Equitable Public Models.

Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Nested Game for Coupled Power System with Energy Sharing and Transportation System.

Dongxiang Yan, Changhong Zhao, Tongxin Li, Yue Chen

CoRR, 2023

Anytime-Competitive Reinforcement Learning with Policy Prior.

Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions.

Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control.

Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman

CoRR, 2022

Towards Balanced Three-phase Charging: Phase Optimization in Adaptive Charging Networks.

Zixin Ye, Tongxin Li, Steven H. Low

CoRR, 2022

Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions.

Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low

Proceedings of the SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 6, 2022

Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity.

Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning-Based Predictive Control via Real-Time Aggregate Flexibility.

Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman

IEEE Trans. Smart Grid, 2021

Optimal Bidding of Energy Storage: A Surrogate Method with Combined Spatial-Temporal Entropy.

Yue Chen, Wei Wei, Tongxin Li, Yunhe Hou, Feng Liu, João P. S. Catalão

CoRR, 2021

Robustness and Consistency in Linear Quadratic Control with Predictions.

Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low

CoRR, 2021

Disentangling Observed Causal Effects from Latent Confounders using Method of Moments.

Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar

CoRR, 2021

Data-driven Electric Vehicle Charging Station Placement for Incentivizing Potential Demand.

Chenxi Sun, Tongxin Li, Xiaoying Tang

Proceedings of the IEEE International Conference on Communications, 2021

Information Aggregation for Constrained Online Control.

Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low

Proceedings of the SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2021

Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging.

Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang

Proceedings of the SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2021

2020

Learning Graphs From Linear Measurements: Fundamental Trade-Offs and Applications.

Tongxin Li, Lucien Werner, Steven H. Low

IEEE Trans. Signal Inf. Process. over Networks, 2020

Real-time Aggregate Flexibility via Reinforcement Learning.

Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman

CoRR, 2020

Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination.

Tongxin Li, Steven H. Low, Adam Wierman

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

ORC: An Online Competitive Algorithm for Recommendation and Charging Schedule in Electric Vehicle Charging Network.

Bo Sun, Tongxin Li, Steven H. Low, Danny H. K. Tsang

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

2019

ACN-Data: Analysis and Applications of an Open EV Charging Dataset.

Zachary J. Lee, Tongxin Li, Steven H. Low

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Learning Graph Parameters from Linear Measurements: Fundamental Trade-offs and Application to Electric Grids.

Tongxin Li, Lucien Werner, Steven H. Low

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Maximum Likelihood Upper Bounds on the Capacities of Discrete Information Stable Channels.

Tongxin Li

Proceedings of the IEEE Information Theory Workshop, 2018

Quadratically Constrained Channels with Causal Adversaries.

Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Robust and Consistent Clustering Recovery via SDP Approaches.

Chenxi Sun, Tongxin Li, Victor O. K. Li

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2016

Fundamental limits and achievable strategies for low energy compressed sensing with applications in wireless communication.

Tongxin Li, Mayank Bakshi, Pulkit Grover

Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

2014

Group testing with prior statistics.

Tongxin Li, Chun Lam Chan, Wenhao Huang, Tarik Kaced, Sidharth Jaggi

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014