Group testing with prior statistics. - Tongxin Li 001; Chun Lam Chan; Wenhao Huang; Tarik Kaced; Sidharth Jaggi (ISIT, 2014)

Fundamental limits and achievable strategies for low energy compressed sensing with applications in wireless communication. - Tongxin Li 001; Mayank Bakshi; Pulkit Grover (SPAWC, 2016)

Robust and Consistent Clustering Recovery via SDP Approaches. - Chenxi Sun; Tongxin Li 001; Victor O. K. Li (DSW, 2018)

Quadratically Constrained Channels with Causal Adversaries. - Tongxin Li 001; Bikash Kumar Dey; Sidharth Jaggi; Michael Langberg; Anand D. Sarwate (ISIT, 2018)

Maximum Likelihood Upper Bounds on the Capacities of Discrete Information Stable Channels. - Tongxin Li 001 (ITW, 2018)

Learning Graph Parameters from Linear Measurements: Fundamental Trade-offs and Application to Electric Grids. - Tongxin Li 001; Lucien Werner; Steven H. Low (CDC, 2019)

ACN-Data: Analysis and Applications of an Open EV Charging Dataset. - Zachary J. Lee; Tongxin Li 001; Steven H. Low (e-Energy, 2019)

ORC: An Online Competitive Algorithm for Recommendation and Charging Schedule in Electric Vehicle Charging Network. - Bo Sun 004; Tongxin Li 001; Steven H. Low; Danny H. K. Tsang (e-Energy, 2020)

Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. - Tongxin Li 001; Steven H. Low; Adam Wierman (e-Energy, 2020)

Real-time Aggregate Flexibility via Reinforcement Learning. - Tongxin Li 001; Bo Sun 004; Yue Chen 012; Zixin Ye; Steven H. Low; Adam Wierman (CoRR, 2020)

Learning Graphs From Linear Measurements: Fundamental Trade-Offs and Applications. - Tongxin Li 001; Lucien Werner; Steven H. Low (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. - Bo Sun 004; Ali Zeynali; Tongxin Li 001; Mohammad Hassan Hajiesmaili; Adam Wierman; Danny H. K. Tsang (SIGMETRICS (Abstracts), 2021)

Information Aggregation for Constrained Online Control. - Tongxin Li 001; Yue Chen 012; Bo Sun 004; Adam Wierman; Steven H. Low (SIGMETRICS (Abstracts), 2021)

Data-driven Electric Vehicle Charging Station Placement for Incentivizing Potential Demand. - Chenxi Sun; Tongxin Li 001; Xiaoying Tang 002 (SmartGridComm, 2021)

Disentangling Observed Causal Effects from Latent Confounders using Method of Moments. - Anqi Liu 001; Hao Liu; Tongxin Li 001; Saeed Karimi-Bidhendi; Yisong Yue; Anima Anandkumar (CoRR, 2021)

Robustness and Consistency in Linear Quadratic Control with Predictions. - Tongxin Li 001; Ruixiao Yang; Guannan Qu; Guanya Shi; Chenkai Yu; Adam Wierman; Steven H. Low (CoRR, 2021)

Optimal Bidding of Energy Storage: A Surrogate Method with Combined Spatial-Temporal Entropy. - Yue Chen 012; Wei Wei 007; Tongxin Li 001; Yunhe Hou; Feng Liu 014; João P. S. Catalão (CoRR, 2021)

Learning-Based Predictive Control via Real-Time Aggregate Flexibility. - Tongxin Li 001; Bo Sun 004; Yue Chen 012; Zixin Ye; Steven H. Low; Adam Wierman (IEEE Trans. Smart Grid, 2021)

Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. - Yiheng Lin 001; Yang Hu; Guannan Qu; Tongxin Li 001; Adam Wierman (NeurIPS, 2022)

Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. - Tongxin Li 001; Ruixiao Yang; Guannan Qu; Guanya Shi; Chenkai Yu; Adam Wierman; Steven H. Low (SIGMETRICS (Abstracts), 2022)

Towards Balanced Three-phase Charging: Phase Optimization in Adaptive Charging Networks. - Zixin Ye; Tongxin Li 001; Steven H. Low (CoRR, 2022)

Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. - Tongxin Li 001; Ruixiao Yang; Guannan Qu; Yiheng Lin 001; Steven H. Low; Adam Wierman (CoRR, 2022)

Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. - Tongxin Li 001; Yiheng Lin 001; Shaolei Ren; Adam Wierman (NeurIPS, 2023)

Anytime-Competitive Reinforcement Learning with Policy Prior. - Jianyi Yang 001; Pengfei Li 008; Tongxin Li 001; Adam Wierman; Shaolei Ren (NeurIPS, 2023)

Nested Game for Coupled Power System with Energy Sharing and Transportation System. - Dongxiang Yan; Changhong Zhao; Tongxin Li 001; Yue Chen 012 (CoRR, 2023)

Building Socially-Equitable Public Models. - Yejia Liu; Jianyi Yang 001; Pengfei Li 008; Tongxin Li 001; Shaolei Ren (ICML, 2024)

Safe Exploitative Play with Untrusted Type Beliefs. - Tongxin Li 001; Tinashe Handina; Shaolei Ren; Adam Wierman (NeurIPS, 2024)

Disentangling Linear Quadratic Control with Untrusted ML Predictions. - Tongxin Li 001; Hao Liu; Yisong Yue (NeurIPS, 2024)

Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents. - Fanzeng Xia; Hao Liu; Yisong Yue; Tongxin Li 001 (CoRR, 2024)

Behavior-Aware Efficient Detection of Malicious EVs in V2G Systems. - Ruixiang Wu; Xudong Wang; Tongxin Li 001 (CoRR, 2024)

A Data-Driven Approach for Optimizing Early-Stage Electric Vehicle Charging Station Placement. - Chenxi Sun; Tongxin Li 001; Xiaoying Tang 002 (IEEE Trans. Ind. Informatics, 2024)

Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents. - Fanzeng Xia; Hao Liu; Yisong Yue; Tongxin Li 001 (ACL (Findings), 2025)

InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control. - Ruixiang Wu; Jiahao Ai; Tongxin Li 001 (CDC, 2025)

PredSLS: A System-Level Framework for Distributed Predictive Control. - Yifei Wu; Jing Yu; Tongxin Li 001 (CDC, 2025)

Learning-Augmented Online Control for Decarbonizing Water Infrastructures. - Jianyi Yang 001; Pengfei Li 008; Tongxin Li 001; Adam Wierman; Shaolei Ren (e-Energy, 2025)

Open In-Context Energy Management Platform. - Yikai Lu; Tinko Sebastian Bartels; Ruixiang Wu; Fanzeng Xia; Xudong Wang; Yifei Wu; Haoxiang Yang; Tongxin Li 001 (e-Energy, 2025)

Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach. - Chenbei Lu; Zaiwei Chen; Tongxin Li 001; Chenye Wu; Adam Wierman (NeurIPS, 2025)

Rethinking the Unsolvable: When In-Context Search Meets Test-Time Scaling. - Fanzeng Xia; Yidong Luo; Tinko Sebastian Bartels; Yaqi Xu; Tongxin Li 001 (CoRR, 2025)

Quantum Learning and Estimation for Distribution Networks and Energy Communities Coordination. - Yingrui Zhuang; Lin Cheng; Yuji Cao; Tongxin Li 001; Ning Qi; Yan Xu; Yue Chen 012 (CoRR, 2025)

Learning-Augmented Control: Adaptively Confidence Learning for Competitive MPC. - Tongxin Li 001 (CoRR, 2025)

DCT-MARL: A Dynamic Communication Topology-Based MARL Algorithm for Connected Vehicle Platoon Control. - Yaqi Xu; Yan Shi 002; Jin Tian; Fanzeng Xia; Tongxin Li 001; Shanzhi Chen; Yuming Ge (CoRR, 2025)

System-Level Performance and Communication Tradeoff in Networked Control with Predictions. - Yifei Wu; Jing Yu; Tongxin Li 001 (CoRR, 2025)

DualNILM: Energy Injection Identification Enabled Disaggregation with Deep Multi-Task Learning. - Xudong Wang; Guoming Tang; Junyu Xue; Srinivasan Keshav; Tongxin Li 001; Chris Ding (CoRR, 2025)

InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Power Grid Control. - Ruixiang Wu; Jiahao Ai; Tinko Sebastian Bartels; Tongxin Li 001 (CoRR, 2025)

Adaptive Riemannian Graph Neural Networks. - Xudong Wang; Chris Ding; Tongxin Li 001; Jicong Fan 001 (AAAI, 2026)

Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning. - Xudong Wang; Guoming Tang; Junyu Xue; Srinivasan Keshav; Tongxin Li 001; Chris Ding (e-Energy, 2026)

Prediction-Specific Design of Learning-Augmented Algorithms. - Sizhe Li; Nicolas Christianson; Tongxin Li 001 (SIGMETRICS (Abstracts), 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 012; Tongxin Li 001 (CoRR, 2026)