Tong Wu - RankMe

21 papers Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Review of Safe Reinforcement Learning Methods for Modern Power Systems. Proc. IEEE Tong Su, Tong Wu, Junbo Zhao, Anna Scaglione, Le Xie
2025	J	`jnl`	Optimal Control of Differentially Private EV Charging: A Scalable Learning Approach Under Uncertainty. IEEE Internet Things J. Tong Wu, Anna Scaglione, Nikhil Ravi, Sean Peisert, Daniel B. Arnold
2025	J	`jnl`	Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations. CoRR Tong Wu, Anna Scaglione, Sandy Miguel, Daniel B. Arnold
2024	—	`conf`	A Federated Learning Approach for Graph Convolutional Neural Networks. SAM Andrew Campbell, Hang Liu, Anna Scaglione, Tong Wu
2024	J	`jnl`	A Review of Safe Reinforcement Learning Methods for Modern Power Systems. CoRR Tong Su, Tong Wu, Junbo Zhao, Anna Scaglione, Le Xie
2024	—	`conf`	Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks. HICSS Adrian-Petru Surani, Tong Wu, Anna Scaglione
2024	J	`jnl`	Complex-Value Spatiotemporal Graph Convolutional Neural Networks and Its Applications to Electric Power Systems AI. IEEE Trans. Smart Grid Tong Wu, Anna Scaglione, Daniel B. Arnold
2024	—	`conf`	Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems. Allerton Tong Wu, Anna Scaglione, Daniel B. Arnold, Tianyi Chen
2023	J	`jnl`	Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control. CoRR Tong Wu, Anna Scaglione, Daniel B. Arnold
2023	J	`jnl`	Differential Privacy for Class-Based Data: A Practical Gaussian Mechanism. IEEE Trans. Inf. Forensics Secur. Raksha Ramakrishna, Anna Scaglione, Tong Wu, Nikhil Ravi, Sean Peisert
2023	J	`jnl`	Differential Privacy for Class-based Data: A Practical Gaussian Mechanism. CoRR Raksha Ramakrishna, Anna Scaglione, Tong Wu, Nikhil Ravi, Sean Peisert
2023	—	`conf`	Network-Constrained Reinforcement Learning for Optimal EV Charging Control. SmartGridComm Tong Wu, Anna Scaglione, Adrian-Petru Surani, Daniel B. Arnold, Sean Peisert
2023	J	`jnl`	Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms. IEEE Trans. Smart Grid Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel B. Arnold
2022	J	`jnl`	Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI. CoRR Tong Wu, Anna Scaglione, Daniel Arnold
2022	J	`jnl`	Deep Reinforcement Learning with Graph ConvNets for Distribution Network Voltage Control. CoRR Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel B. Arnold
2022	—	`conf`	Reinforcement Learning using Physics Inspired Graph Convolutional Neural Networks. Allerton Tong Wu, Anna Scaglione, Daniel B. Arnold
2021	J	`jnl`	Missing Data Recovery in Large Power Systems Using Network Embedding. IEEE Trans. Smart Grid Tong Wu, Ying-Jun Angela Zhang, Yang Liu, Wing Cheong Lau, Huanle Xu
2021	J	`jnl`	Online Detection of Events With Low-Quality Synchrophasor Measurements Based on $i$Forest. IEEE Trans. Ind. Informatics Tong Wu, Ying-Jun Angela Zhang, Xiaoying Tang
2021	J	`jnl`	Privacy-Preserving Distributed Optimal Power Flow With Partially Homomorphic Encryption. IEEE Trans. Smart Grid Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang
2021	J	`jnl`	Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption. CoRR Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang
2018	—	`conf`	Isolation Forest Based Method for Low-Quality Synchrophasor Measurements and Early Events Detection. SmartGridComm Tong Wu, Ying-Jun Angela Zhang, Xiaoying Tang