| Profit-maximizing planning and control of battery energy storage systems for primary frequency control YJA Zhang, C Zhao, W Tang, SH Low IEEE Transactions on Smart Grid 9 (2), 712-723, 2018 | 253 | 2018 |
| A Model Predictive Control Approach for Low-Complexity Electric Vehicle Charging Scheduling: Optimality and Scalability W Tang, YJA Zhang IEEE Transactions on Power Systems 32 (2), 1050-1063, 2017 | 172 | 2017 |
| Online coordinated charging decision algorithm for electric vehicles without future information W Tang, S Bi, YJ Zhang IEEE Transactions on Smart Grid 5 (6), 2810-2824, 2014 | 154 | 2014 |
| Distributed Routing and Charging Scheduling Optimization for Internet of Electric Vehicles X Tang, S Bi, YJA Zhang IEEE Internet of Things Journal 6 (1), 136-148, 2019 | 86 | 2019 |
| Online charging scheduling algorithms of electric vehicles in smart grid: An overview W Tang, S Bi, YJ Zhang IEEE communications Magazine 54 (12), 76-83, 2016 | 85 | 2016 |
| Online Detection of Events With Low-Quality Synchrophasor Measurements Based on iForest T Wu, YJA Zhang, X Tang IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 17 (1), 2021 | 26 | 2021 |
| Towards federated learning on time-evolving heterogeneous data Y Guo, T Lin, X Tang arXiv preprint arXiv:2112.13246, 2021 | 23 | 2021 |
| A VSC-based BESS model for multi-objective OPF using mixed integer SOCP T Wu, YJ Zhang, X Tang IEEE Transactions on Power Systems 34 (4), 2541-2552, 2019 | 21 | 2019 |
| 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 | 19 | 2023 |
| Online speeding optimal charging algorithm for electric vehicles without future information W Tang, S Bi, YJ Zhang 2013 IEEE International Conference on Smart Grid Communications …, 2013 | 17 | 2013 |
| FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Y Guo, X Tang, T Lin Fortieth International Conference on Machine Learning (ICML 2023), 2023 | 15 | 2023 |
| Isolation forest based method for low-quality synchrophasor measurements and early events detection T Wu, YJA Zhang, X Tang 2018 IEEE International Conference on Communications, Control, and Computing …, 2018 | 15 | 2018 |
| Joint routing and charging scheduling optimizations for smart-grid enabled electric vehicle networks W Tang, S Bi, YJ Zhang, X Yuan 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-5, 2017 | 14 | 2017 |
| Client selection in nonconvex federated learning: Improved convergence analysis for optimal unbiased sampling strategy L Wang, YX Guo, T Lin, X Tang arXiv preprint arXiv:2205.13925, 2022 | 11 | 2022 |
| Optimal charging control of electric vehicles in smart grids W Tang, Y Jun Springer International Publishing, 2017 | 11 | 2017 |
| FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance ZP Pan, S Wang, C Li, H Wang, X Tang, J Zhao Proceedings of the 37th AAAI Conference on Artificial Intelligence 37 (8), 2023 | 10 | 2023 |
| Continuous group-wise double auction for prosumers in distribution-level markets A Yu, X Tang, YJ Zhang, J Huang IEEE Transactions on Smart Grid 12 (6), 4822-4833, 2021 | 10 | 2021 |
| A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms X Tang, C Sun, S Bi, S Wang, AY Zhang ACM SIGEnergy Energy Informatics Review 1 (1), 78-88, 2021 | 8 | 2021 |
| Online electric vehicle charging control with multistage stochastic programming W Tang, YJ Zhang 2014 48th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2014 | 8 | 2014 |
| Fedaug: Reducing the local learning bias improves federated learning on heterogeneous data Y Guo, T Lin, X Tang arXiv preprint arXiv:2205.13462, 2022 | 6 | 2022 |
Ying-Jun Angela ZhangThe Chinese University of Hong Kong; Fellow of IEEE在 ie.cuhk.edu.hk 的电子邮件经过验证
