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ORCIDTong Wu 0002
Person information
- affiliation: Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
Other persons with the same name
- Tong Wu — disambiguation page
- Tong Wu 0001
![[0000-0002-5838-046X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5838-046X")
— University of Minnesota, Department of Biomedical Engineering, Minneapolis, USA (and 1 more) - Tong Wu 0003 — Beijing University of Posts and Telecommunications, Key laboratory of Universal Wireless Communications, China (and 1 more)
- Tong Wu 0004 — Nanjing University of Aeronautics and Astronautics, Nanjing, China (and 2 more)
- Tong Wu 0005 — University of Texas, San Antonio, TX, USA (and 2 more)
- Tong Wu 0006 — Northwest A&F University, Yangling, China (and 2 more)
- Tong Wu 0007 — UNSW Sydney, Australia
- Tong Wu 0008 — Beijing Institute for General Artificial Intelligence, China (and 1 more)
- Tong Wu 0009 — Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
- Tong Wu 0010 — Washington University in St. Louis, MO, USA
- Tong Wu 0011 — Beijing Institute of Technology, School of Cyberspace Science and Technology, China (and 2 more)
- Tong Wu 0012 — Rutgers University, New Brunswick, NJ, USA
- Tong Wu 0013 — Harbin Institute of Technology, School of Astronautics, Harbin, China
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Journal Articles
- 2024
[j6]Tong Wu, Anna Scaglione, Daniel B. Arnold:
Complex-Value Spatiotemporal Graph Convolutional Neural Networks and Its Applications to Electric Power Systems AI. IEEE Trans. Smart Grid 15(3): 3193-3207 (2024)- 2023
- [j5]Raksha Ramakrishna, Anna Scaglione, Tong Wu, Nikhil Ravi, Sean Peisert:
Differential Privacy for Class-Based Data: A Practical Gaussian Mechanism. IEEE Trans. Inf. Forensics Secur. 18: 5096-5108 (2023) - [j4]Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel B. Arnold:
Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms. IEEE Trans. Smart Grid 14(5): 4086-4099 (2023) - 2021
- [j3]Tong Wu, Ying-Jun Angela Zhang, Xiaoying Tang:
Online Detection of Events With Low-Quality Synchrophasor Measurements Based on $i$Forest. IEEE Trans. Ind. Informatics 17(1): 168-178 (2021) - [j2]Tong Wu, Ying-Jun Angela Zhang, Yang Liu, Wing Cheong Lau, Huanle Xu:
Missing Data Recovery in Large Power Systems Using Network Embedding. IEEE Trans. Smart Grid 12(1): 680-691 (2021) - [j1]Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang:
Privacy-Preserving Distributed Optimal Power Flow With Partially Homomorphic Encryption. IEEE Trans. Smart Grid 12(5): 4506-4521 (2021)
Conference and Workshop Papers
- 2024
- [c5]Adrian-Petru Surani, Tong Wu, Anna Scaglione:
Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks. HICSS 2024: 3030-3039 - [c4]Andrew Campbell, Hang Liu, Anna Scaglione, Tong Wu:
A Federated Learning Approach for Graph Convolutional Neural Networks. SAM 2024: 1-5 - 2023
- [c3]Tong Wu, Anna Scaglione, Adrian Petru Surani, Daniel B. Arnold, Sean Peisert:
Network-Constrained Reinforcement Learning for Optimal EV Charging Control. SmartGridComm 2023: 1-6 - 2022
- [c2]Tong Wu, Anna Scaglione, Daniel B. Arnold:
Reinforcement Learning using Physics Inspired Graph Convolutional Neural Networks. Allerton 2022: 1-8 - 2018
- [c1]Tong Wu, Ying-Jun Angela Zhang, Xiaoying Tang:
Isolation Forest Based Method for Low-Quality Synchrophasor Measurements and Early Events Detection. SmartGridComm 2018: 1-7
Informal and Other Publications
- 2024
- [i6]Tong Su, Tong Wu, Junbo Zhao, Anna Scaglione, Le Xie:
A Review of Safe Reinforcement Learning Methods for Modern Power Systems. CoRR abs/2407.00304 (2024) - 2023
- [i5]Tong Wu, Anna Scaglione, Daniel B. Arnold:
Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control. CoRR abs/2302.10382 (2023) - [i4]Raksha Ramakrishna, Anna Scaglione, Tong Wu, Nikhil Ravi, Sean Peisert:
Differential Privacy for Class-based Data: A Practical Gaussian Mechanism. CoRR abs/2306.05578 (2023) - 2022
- [i3]Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel B. Arnold:
Deep Reinforcement Learning with Graph ConvNets for Distribution Network Voltage Control. CoRR abs/2203.16732 (2022) - [i2]Tong Wu, Anna Scaglione, Daniel Arnold:
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI. CoRR abs/2208.08485 (2022) - 2021
- [i1]Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang:
Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption. CoRR abs/2101.08395 (2021)
Coauthor Index
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