Takip et
Tongxin Li
Tongxin Li
Assistant Professor, Presidential Young Fellow, The Chinese University of Hong Kong, Shenzhen
cuhk.edu.cn üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
3742019
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
ACM SIGMETRICS Performance Evaluation Review 49 (1), 67-68, 2020
672020
Group testing with prior statistics
T Li, CL Chan, W Huang, T Kaced, S Jaggi
IEEE International Symposium on Information Theory, 2346-2350, 2014
632014
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
502020
Robustness and consistency in linear quadratic control with untrusted predictions
T Li, R Yang, G Qu, G Shi, C Yu, A Wierman, S Low
ACM SIGMETRICS Performance Evaluation Review 50 (1), 107-108, 2022
372022
A data-driven approach for optimizing early-stage electric vehicle charging station placement
C Sun, T Li, X Tang
IEEE Transactions on Industrial Informatics 20 (10), 11500 - 11510, 2023
312023
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
312020
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 12 (6), 4897 - 4913, 2021
302021
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
18*2020
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 35, 2022
172022
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
162020
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
142020
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
13*2023
Systems and methods for adaptive EV charging
ZJ Lee, T Li, SH Low, SB Sharma
US Patent App. 16/786,803, 2020
132020
Information aggregation for constrained online control
T Li, Y Chen, B Sun, A Wierman, S Low
ACM SIGMETRICS Performance Evaluation Review 49 (1), 7-8, 2021
122021
Quadratically constrained channels with causal adversaries
T Li, BK Dey, S Jaggi, M Langberg, AD Sarwate
IEEE International Symposium on Information Theory, 621-625, 2018
92018
Beyond black-box advice:learning-augmented algorithms for MDPs with Q-value predictions
T Li, Y Lin, S Ren, A Wierman
Advances in Neural Information Processing Systems 36, 2024
52024
Disentangling observed causal effects from latent confounders using method of moments
A Liu, H Liu, T Li, S Karimi-Bidhendi, Y Yue, A Anandkumar
NeurIPS 2019 Workshop on Causal Machine Learning, 2021
52021
Robustifying machine-learned algorithms for efficient grid operation
N Christianson, C Yeh, T Li, MT Rad, A Golmohammadi, A Wierman
NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning, 2022
42022
Data-driven electric vehicle charging station placement for incentivizing potential demand
C Sun, T Li, X Tang
IEEE International Conference on Communications, Control, and Computing …, 2021
42021
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Makaleler 1–20