| ACN-data: Analysis and applications of an open EV charging dataset ZJ Lee, T Li, SH Low Proceedings of the tenth ACM international conference on future energy …, 2019 | 315 | 2019 |
| Group testing with prior statistics T Li, CL Chan, W Huang, T Kaced, S Jaggi 2014 IEEE International Symposium on Information Theory, 2346-2350, 2014 | 54 | 2014 |
| Competitive algorithms for the online multiple knapsack problem with application to electric vehicle charging B Sun, A Zeynali, T Li, M Hajiesmaili, A Wierman, DHK Tsang Proceedings of the ACM on Measurement and Analysis of Computing Systems 4 (3 …, 2020 | 52 | 2020 |
| Classification of electric vehicle charging time series with selective clustering C Sun, T Li, SH Low, VOK Li Electric Power Systems Research 189, 106695, 2020 | 46 | 2020 |
| Robustness and consistency in linear quadratic control with untrusted predictions T Li, R Yang, G Qu, G Shi, C Yu, A Wierman, S Low Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (1 …, 2022 | 32 | 2022 |
| Decentralized provision of renewable predictions within a virtual power plant Y Chen, T Li, C Zhao, W Wei IEEE Transactions on Power Systems 36 (3), 2652-2662, 2020 | 25 | 2020 |
| A data-driven approach for optimizing early-stage electric vehicle charging station placement C Sun, T Li, X Tang IEEE Transactions on Industrial Informatics, 2023 | 20 | 2023 |
| Learning-based predictive control via real-time aggregate flexibility T Li, B Sun, Y Chen, Z Ye, SH Low, A Wierman IEEE Transactions on Smart Grid, 2021 | 20 | 2021 |
| Real-time flexibility feedback for closed-loop aggregator and system operator coordination T Li, SH Low, A Wierman Proceedings of the Eleventh ACM International Conference on Future Energy …, 2020 | 16 | 2020 |
| ORC: An online competitive algorithm for recommendation and charging schedule in electric vehicle charging network B Sun, T Li, SH Low, DHK Tsang Proceedings of the Eleventh ACM International Conference on Future Energy …, 2020 | 14* | 2020 |
| Learning graphs from linear measurements: Fundamental trade-offs and applications T Li, L Werner, SH Low IEEE Transactions on Signal and Information Processing over Networks 6, 163-178, 2020 | 14 | 2020 |
| Information aggregation for constrained online control T Li, Y Chen, B Sun, A Wierman, S Low | 11 | 2021 |
| Information aggregation for constrained online control T Li, Y Chen, B Sun, A Wierman, S Low SIGMETRICS '21 Proceedings of the 2021 ACM SIGMETRICS 5 (2), 1–35, 2021 | 11 | 2021 |
| Systems and methods for adaptive EV charging ZJ Lee, T Li, SH Low, SB Sharma US Patent App. 16/786,803, 2020 | 11 | 2020 |
| Certifying black-box policies with stability for nonlinear control T Li, R Yang, G Qu, Y Lin, A Wierman, SH Low IEEE Open Journal of Control Systems 2, 49-62, 2023 | 9* | 2023 |
| Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity Y Lin, Y Hu, G Qu, T Li, A Wierman Advances in Neural Information Processing Systems, 2022 | 9 | 2022 |
| Quadratically constrained channels with causal adversaries T Li, BK Dey, S Jaggi, M Langberg, AD Sarwate 2018 IEEE International Symposium on Information Theory (ISIT), 621-625, 2018 | 8 | 2018 |
| Disentangling observed causal effects from latent confounders using method of moments A Liu, H Liu, T Li, S Karimi-Bidhendi, Y Yue, A Anandkumar arXiv preprint arXiv:2101.06614, 2021 | 5 | 2021 |
| Robust and consistent clustering recovery via sdp approaches C Sun, T Li, VOK Li 2018 IEEE Data Science Workshop (DSW), 46-50, 2018 | 3 | 2018 |
| Fundamental limits and achievable strategies for low energy compressed sensing with applications in wireless communication T Li, M Bakshi, P Grover 2016 IEEE 17th International Workshop on Signal Processing Advances in …, 2016 | 3 | 2016 |
Steven H. LowGilloon Professor of Computing+Mathematical Sciences, Electrical Engineering, Caltech在 caltech.edu 的电子邮件经过验证
