default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTongxin Li 0001
Person information
- affiliation: Chinese University of Hong Kong - Shenzhen (CUHK-SZ), Shenzhen, China
- affiliation (former, PhD): California Institute of Technology (Caltech), Pasadena, CA, USA
Other persons with the same name
- Tongxin Li — disambiguation page
- Tongxin Li 0002 — Peking University (PKU), Beijing, China
- Tongxin Li 0003
![[0009-0002-8633-7394]](https://dblp.org/img/orcid-mark.12x12.png "0009-0002-8633-7394")
— New Jersey Institute of Technology (NJIT), Newark, NJ, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[c24]Fanzeng Xia, Hao Liu, Yisong Yue, Tongxin Li:
Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents. ACL (Findings) 2025: 9959-9988- [c23]Ruixiang Wu, Jiahao Ai, Tongxin Li:
InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control. CDC 2025: 172-179 - [c22]Yifei Wu, Jing Yu, Tongxin Li:
PredSLS: A System-Level Framework for Distributed Predictive Control. CDC 2025: 5213-5220 - [c21]Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren:
Learning-Augmented Online Control for Decarbonizing Water Infrastructures. e-Energy 2025: 1-18 - [c20]Yikai Lu, Tinko Sebastian Bartels, Ruixiang Wu, Fanzeng Xia, Xudong Wang, Yifei Wu, Haoxiang Yang, Tongxin Li:
Open In-Context Energy Management Platform. e-Energy 2025: 985-986 - [i30]Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren:
Learning-Augmented Online Control for Decarbonizing Water Infrastructures. CoRR abs/2501.14232 (2025) - [i29]Ruixiang Wu, Jiahao Ai, Tongxin Li:
InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control. CoRR abs/2504.05946 (2025) - [i28]Fanzeng Xia, Yidong Luo, Tinko Sebastian Bartels, Yaqi Xu, Tongxin Li:
Rethinking the Unsolvable: When In-Context Search Meets Test-Time Scaling. CoRR abs/2505.22290 (2025) - [i27]Yingrui Zhuang, Lin Cheng, Yuji Cao, Tongxin Li, Ning Qi, Yan Xu, Yue Chen:
Quantum Learning and Estimation for Distribution Networks and Energy Communities Coordination. CoRR abs/2506.11730 (2025) - [i26]Tongxin Li:
Learning-Augmented Control: Adaptively Confidence Learning for Competitive MPC. CoRR abs/2507.14595 (2025) - [i25]Xudong Wang, Tongxin Li, Chris Ding, Jicong Fan:
Adaptive Riemannian Graph Neural Networks. CoRR abs/2508.02600 (2025) - [i24]Yaqi Xu, Yan Shi, Jin Tian, Fanzeng Xia, Tongxin Li, Shanzhi Chen, Yuming Ge:
DCT-MARL: A Dynamic Communication Topology-Based MARL Algorithm for Connected Vehicle Platoon Control. CoRR abs/2508.12633 (2025) - [i23]Yifei Wu, Jing Yu, Tongxin Li:
System-Level Performance and Communication Tradeoff in Networked Control with Predictions. CoRR abs/2508.13475 (2025) - [i22]Xudong Wang, Guoming Tang, Junyu Xue, Srinivasan Keshav, Tongxin Li, Chris Ding:
DualNILM: Energy Injection Identification Enabled Disaggregation with Deep Multi-Task Learning. CoRR abs/2508.14600 (2025) - [i21]Sizhe Li, Nicolas Christianson, Tongxin Li:
Prediction-Specific Design of Learning-Augmented Algorithms. CoRR abs/2510.14887 (2025) - [i20]Chenbei Lu, Zaiwei Chen, Tongxin Li, Chenye Wu, Adam Wierman:
Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach. CoRR abs/2510.18687 (2025) - [i19]Ruixiang Wu, Jiahao Ai, Tinko Sebastian Bartels, Tongxin Li:
InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Power Grid Control. CoRR abs/2512.05876 (2025) - 2024
- [j6]Chenxi Sun, Tongxin Li, Xiaoying Tang:
A Data-Driven Approach for Optimizing Early-Stage Electric Vehicle Charging Station Placement. IEEE Trans. Ind. Informatics 20(10): 11500-11510 (2024) - [c19]Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren:
Building Socially-Equitable Public Models. ICML 2024 - [c18]Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman:
Safe Exploitative Play with Untrusted Type Beliefs. NeurIPS 2024 - [c17]Tongxin Li, Hao Liu, Yisong Yue:
Disentangling Linear Quadratic Control with Untrusted ML Predictions. NeurIPS 2024 - [i18]Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren:
Building Socially-Equitable Public Models. CoRR abs/2406.02790 (2024) - [i17]Fanzeng Xia, Hao Liu, Yisong Yue, Tongxin Li:
Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents. CoRR abs/2407.01887 (2024) - [i16]Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman:
Safe Exploitative Play with Untrusted Type Beliefs. CoRR abs/2411.07679 (2024) - 2023
- [c16]Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman:
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. NeurIPS 2023 - [c15]Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren:
Anytime-Competitive Reinforcement Learning with Policy Prior. NeurIPS 2023 - [i15]Dongxiang Yan, Changhong Zhao, Tongxin Li, Yue Chen:
Nested Game for Coupled Power System with Energy Sharing and Transportation System. CoRR abs/2305.17410 (2023) - [i14]Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman:
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. CoRR abs/2307.10524 (2023) - [i13]Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren:
Anytime-Competitive Reinforcement Learning with Policy Prior. CoRR abs/2311.01568 (2023) - 2022
- [j5]Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low:
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 18:1-18:35 (2022) - [c14]Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman:
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. NeurIPS 2022 - [c13]Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low:
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. SIGMETRICS (Abstracts) 2022: 107-108 - [i12]Zixin Ye, Tongxin Li, Steven H. Low:
Towards Balanced Three-phase Charging: Phase Optimization in Adaptive Charging Networks. CoRR abs/2205.10499 (2022) - [i11]Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman:
Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. CoRR abs/2206.01341 (2022) - 2021
- [j4]Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low:
Information Aggregation for Constrained Online Control. Proc. ACM Meas. Anal. Comput. Syst. 5(2): 18:1-18:35 (2021) - [j3]Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman:
Learning-Based Predictive Control via Real-Time Aggregate Flexibility. IEEE Trans. Smart Grid 12(6): 4897-4913 (2021) - [c12]Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low:
Information Aggregation for Constrained Online Control. SIGMETRICS (Abstracts) 2021: 7-8 - [c11]Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. SIGMETRICS (Abstracts) 2021: 67-68 - [c10]Chenxi Sun, Tongxin Li, Xiaoying Tang:
Data-driven Electric Vehicle Charging Station Placement for Incentivizing Potential Demand. SmartGridComm 2021: 27-32 - [i10]Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar:
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments. CoRR abs/2101.06614 (2021) - [i9]Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low:
Robustness and Consistency in Linear Quadratic Control with Predictions. CoRR abs/2106.09659 (2021) - [i8]Yue Chen, Wei Wei, Tongxin Li, Yunhe Hou, Feng Liu, João P. S. Catalão:
Optimal Bidding of Energy Storage: A Surrogate Method with Combined Spatial-Temporal Entropy. CoRR abs/2107.14403 (2021) - 2020
- [j2]Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. Proc. ACM Meas. Anal. Comput. Syst. 4(3): 51:1-51:32 (2020) - [j1]Tongxin Li, Lucien Werner, Steven H. Low:
Learning Graphs From Linear Measurements: Fundamental Trade-Offs and Applications. IEEE Trans. Signal Inf. Process. over Networks 6: 163-178 (2020) - [c9]Bo Sun, Tongxin Li, Steven H. Low, Danny H. K. Tsang:
ORC: An Online Competitive Algorithm for Recommendation and Charging Schedule in Electric Vehicle Charging Network. e-Energy 2020: 144-155 - [c8]Tongxin Li, Steven H. Low, Adam Wierman:
Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. e-Energy 2020: 279-292 - [i7]Tongxin Li, Steven H. Low, Adam Wierman:
Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. CoRR abs/2006.13814 (2020) - [i6]Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. CoRR abs/2010.00412 (2020) - [i5]Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman:
Real-time Aggregate Flexibility via Reinforcement Learning. CoRR abs/2012.11261 (2020)
2010 – 2019
- 2019
- [c7]Tongxin Li, Lucien Werner, Steven H. Low:
Learning Graph Parameters from Linear Measurements: Fundamental Trade-offs and Application to Electric Grids. CDC 2019: 6554-6559 - [c6]Zachary J. Lee, Tongxin Li, Steven H. Low:
ACN-Data: Analysis and Applications of an Open EV Charging Dataset. e-Energy 2019: 139-149 - [i4]Tongxin Li, Lucien Werner, Steven H. Low:
Learning Graphs from Linear Measurements: Fundamental Trade-offs and Applications. CoRR abs/1909.05487 (2019) - 2018
- [c5]Chenxi Sun, Tongxin Li, Victor O. K. Li:
Robust and Consistent Clustering Recovery via SDP Approaches. DSW 2018: 46-50 - [c4]Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Quadratically Constrained Channels with Causal Adversaries. ISIT 2018: 621-625 - [c3]Tongxin Li:
Maximum Likelihood Upper Bounds on the Capacities of Discrete Information Stable Channels. ITW 2018: 1-5 - [i3]Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Quadratically Constrained Channels with Causal Adversaries. CoRR abs/1805.03319 (2018) - [i2]Tongxin Li:
Maximum Likelihood Upper Bounds on the Capacities of Discrete Information Stable Channels. CoRR abs/1805.07022 (2018) - 2016
- [c2]Tongxin Li, Mayank Bakshi, Pulkit Grover:
Fundamental limits and achievable strategies for low energy compressed sensing with applications in wireless communication. SPAWC 2016: 1-6 - 2014
- [c1]Tongxin Li, Chun Lam Chan, Wenhao Huang, Tarik Kaced, Sidharth Jaggi:
Group testing with prior statistics. ISIT 2014: 2346-2350 - [i1]Tongxin Li, Chun Lam Chan, Wenhao Huang, Tarik Kaced, Sidharth Jaggi:
Group Testing with Prior Statistics. CoRR abs/1401.3667 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-02-05 23:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
