Tongxin Li - RankMe

63 papers A* 7B 3Journal 38Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adaptive Riemannian Graph Neural Networks. AAAI Xudong Wang, Chris Ding, Tongxin Li, Jicong Fan
2026	J	`jnl`	Prediction-Specific Design of Learning-Augmented Algorithms. Proc. ACM Meas. Anal. Comput. Syst. Sizhe Li, Nicolas Christianson, Tongxin Li
2025	J	`jnl`	Adaptive Riemannian Graph Neural Networks. CoRR Xudong Wang, Tongxin Li, Chris Ding, Jicong Fan
2025	—	`conf`	Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents. ACL (Findings) Fanzeng Xia, Hao Liu, Yisong Yue, Tongxin Li
2025	J	`jnl`	DCT-MARL: A Dynamic Communication Topology-Based MARL Algorithm for Connected Vehicle Platoon Control. CoRR Yaqi Xu, Yan Shi, Jin Tian, Fanzeng Xia, Tongxin Li, Shanzhi Chen, Yuming Ge
2025	J	`jnl`	DualNILM: Energy Injection Identification Enabled Disaggregation with Deep Multi-Task Learning. CoRR Xudong Wang, Guoming Tang, Junyu Xue, Srinivasan Keshav, Tongxin Li, Chris Ding
2025	—	`conf`	InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control. CDC Ruixiang Wu, Jiahao Ai, Tongxin Li
2025	J	`jnl`	InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control. CoRR Ruixiang Wu, Jiahao Ai, Tongxin Li
2025	J	`jnl`	InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Power Grid Control. CoRR Ruixiang Wu, Jiahao Ai, Tinko Sebastian Bartels, Tongxin Li
2025	J	`jnl`	Learning-Augmented Control: Adaptively Confidence Learning for Competitive MPC. CoRR Tongxin Li
2025	—	`conf`	Learning-Augmented Online Control for Decarbonizing Water Infrastructures. e-Energy Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
2025	J	`jnl`	Learning-Augmented Online Control for Decarbonizing Water Infrastructures. CoRR Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
2025	—	`conf`	Open In-Context Energy Management Platform. e-Energy Yikai Lu, Tinko Sebastian Bartels, Ruixiang Wu, Fanzeng Xia, Xudong Wang, Yifei Wu, Haoxiang Yang, Tongxin Li
2025	—	`conf`	PredSLS: A System-Level Framework for Distributed Predictive Control. CDC Yifei Wu, Jing Yu, Tongxin Li
2025	J	`jnl`	Prediction-Specific Design of Learning-Augmented Algorithms. CoRR Sizhe Li, Nicolas Christianson, Tongxin Li
2025	J	`jnl`	Quantum Learning and Estimation for Distribution Networks and Energy Communities Coordination. CoRR Yingrui Zhuang, Lin Cheng, Yuji Cao, Tongxin Li, Ning Qi, Yan Xu, Yue Chen
2025	J	`jnl`	Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach. CoRR Chenbei Lu, Zaiwei Chen, Tongxin Li, Chenye Wu, Adam Wierman
2025	J	`jnl`	Rethinking the Unsolvable: When In-Context Search Meets Test-Time Scaling. CoRR Fanzeng Xia, Yidong Luo, Tinko Sebastian Bartels, Yaqi Xu, Tongxin Li
2025	J	`jnl`	System-Level Performance and Communication Tradeoff in Networked Control with Predictions. CoRR Yifei Wu, Jing Yu, Tongxin Li
2024	J	`jnl`	A Data-Driven Approach for Optimizing Early-Stage Electric Vehicle Charging Station Placement. IEEE Trans. Ind. Informatics Chenxi Sun, Tongxin Li, Xiaoying Tang
2024	J	`jnl`	Behavior-Aware Efficient Detection of Malicious EVs in V2G Systems. CoRR Ruixiang Wu, Xudong Wang, Tongxin Li
2024	J	`jnl`	Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents. CoRR Fanzeng Xia, Hao Liu, Yisong Yue, Tongxin Li
2024	A*	`conf`	Building Socially-Equitable Public Models. ICML Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren
2024	J	`jnl`	Building Socially-Equitable Public Models. CoRR Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren
2024	A*	`conf`	Disentangling Linear Quadratic Control with Untrusted ML Predictions. NeurIPS Tongxin Li, Hao Liu, Yisong Yue
2024	A*	`conf`	Safe Exploitative Play with Untrusted Type Beliefs. NeurIPS Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman
2024	J	`jnl`	Safe Exploitative Play with Untrusted Type Beliefs. CoRR Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman
2023	A*	`conf`	Anytime-Competitive Reinforcement Learning with Policy Prior. NeurIPS Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
2023	J	`jnl`	Anytime-Competitive Reinforcement Learning with Policy Prior. CoRR Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
2023	A*	`conf`	Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. NeurIPS Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
2023	J	`jnl`	Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. CoRR Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
2023	J	`jnl`	Nested Game for Coupled Power System with Energy Sharing and Transportation System. CoRR Dongxiang Yan, Changhong Zhao, Tongxin Li, Yue Chen
2022	A*	`conf`	Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. NeurIPS Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman
2022	J	`jnl`	Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. CoRR Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman
2022	—	`conf`	Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. SIGMETRICS (Abstracts) Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
2022	J	`jnl`	Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. Proc. ACM Meas. Anal. Comput. Syst. Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
2022	J	`jnl`	Towards Balanced Three-phase Charging: Phase Optimization in Adaptive Charging Networks. CoRR Zixin Ye, Tongxin Li, Steven H. Low
2021	—	`conf`	Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. SIGMETRICS (Abstracts) Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang
2021	—	`conf`	Data-driven Electric Vehicle Charging Station Placement for Incentivizing Potential Demand. SmartGridComm Chenxi Sun, Tongxin Li, Xiaoying Tang
2021	J	`jnl`	Disentangling Observed Causal Effects from Latent Confounders using Method of Moments. CoRR Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar
2021	—	`conf`	Information Aggregation for Constrained Online Control. SIGMETRICS (Abstracts) Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low
2021	J	`jnl`	Information Aggregation for Constrained Online Control. Proc. ACM Meas. Anal. Comput. Syst. Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low
2021	J	`jnl`	Learning-Based Predictive Control via Real-Time Aggregate Flexibility. IEEE Trans. Smart Grid Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman
2021	J	`jnl`	Optimal Bidding of Energy Storage: A Surrogate Method with Combined Spatial-Temporal Entropy. CoRR Yue Chen, Wei Wei, Tongxin Li, Yunhe Hou, Feng Liu, João P. S. Catalão
2021	J	`jnl`	Robustness and Consistency in Linear Quadratic Control with Predictions. CoRR Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
2020	J	`jnl`	Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. CoRR Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang
2020	J	`jnl`	Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. Proc. ACM Meas. Anal. Comput. Syst. Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang
2020	J	`jnl`	Learning Graphs From Linear Measurements: Fundamental Trade-Offs and Applications. IEEE Trans. Signal Inf. Process. over Networks Tongxin Li, Lucien Werner, Steven H. Low
2020	—	`conf`	ORC: An Online Competitive Algorithm for Recommendation and Charging Schedule in Electric Vehicle Charging Network. e-Energy Bo Sun, Tongxin Li, Steven H. Low, Danny H. K. Tsang
2020	J	`jnl`	Real-time Aggregate Flexibility via Reinforcement Learning. CoRR Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman
2020	—	`conf`	Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. e-Energy Tongxin Li, Steven H. Low, Adam Wierman
2020	J	`jnl`	Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. CoRR Tongxin Li, Steven H. Low, Adam Wierman
2019	—	`conf`	ACN-Data: Analysis and Applications of an Open EV Charging Dataset. e-Energy Zachary J. Lee, Tongxin Li, Steven H. Low
2019	—	`conf`	Learning Graph Parameters from Linear Measurements: Fundamental Trade-offs and Application to Electric Grids. CDC Tongxin Li, Lucien Werner, Steven H. Low
2019	J	`jnl`	Learning Graphs from Linear Measurements: Fundamental Trade-offs and Applications. CoRR Tongxin Li, Lucien Werner, Steven H. Low
2018	B	`conf`	Maximum Likelihood Upper Bounds on the Capacities of Discrete Information Stable Channels. ITW Tongxin Li
2018	J	`jnl`	Maximum Likelihood Upper Bounds on the Capacities of Discrete Information Stable Channels. CoRR Tongxin Li
2018	B	`conf`	Quadratically Constrained Channels with Causal Adversaries. ISIT Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2018	J	`jnl`	Quadratically Constrained Channels with Causal Adversaries. CoRR Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2018	—	`conf`	Robust and Consistent Clustering Recovery via SDP Approaches. DSW Chenxi Sun, Tongxin Li, Victor O. K. Li
2016	—	`conf`	Fundamental limits and achievable strategies for low energy compressed sensing with applications in wireless communication. SPAWC Tongxin Li, Mayank Bakshi, Pulkit Grover
2014	J	`jnl`	Group Testing with Prior Statistics. CoRR Tongxin Li, Chun Lam Chan, Wenhao Huang, Tarik Kaced, Sidharth Jaggi
2014	B	`conf`	Group testing with prior statistics. ISIT Tongxin Li, Chun Lam Chan, Wenhao Huang, Tarik Kaced, Sidharth Jaggi