Submitted Papers and Manuscripts
Tong Wu. Geometric Pareto Control: A Unified Riemannian Gradient Flow via Lie Group Homotopy, Transactions on Machine Learning Research (TMLR), Under Review, 2026.
Saman Mazaheri Khamaneh, Tong Wu, Cong Chen, Wei Sun. Robust Reinforcement Learning for Power System Security Against Adversarial Attacks: A Tri-Level Optimization Framework, IEEE Transactions on Power Systems, Major Revision, 2026.
Daniel Hernandez, Xiang Zhang, Fnu Joshua, Lei Zhai, Pulickel M. Ajayan, Yao Yao, Tong Wu, Sidong Lei. Non-invasive tomography of microstructures in wide-band gap electronic materials, Materials Today, Major Revision, 2026.
Haoran Peng, Tong Wu, Hang Liu, Weijia Zheng, Ying-Jun Angela Zhang, Anna Scaglione. Enabling Safety-Critical Wireless Communications via Safe Reinforcement Learning, IEEE Transactions on Signal Processing, Under Review, 2026.
Tong Wu, Andrew Campbell, Anna Scaglione. On the Foundation of Graph Transfer Learning: A Geometric Manifold Analysis, IEEE Transactions on Signal Processing, Under Review, 2026.
Journal Papers
Tong Wu, Tayab Uddin Wara, Daniel Hernandez, Sidong Lei. Universal Latent Homeomorphic Manifolds: Cross-Domain Representation Learning via Homeomorphism Verification, Transactions on Machine Learning Research (TMLR), May 2026.
Tong Wu, Anna Scaglione, Sandy Miguel, Daniel Arnold. Universal Physics-Aware Grid Learning: Transfer to Power System Reconfiguration, IEEE Transactions on Smart Grid, May 2026.
Tong Wu, Anna Scaglione, Nikhil Ravi, Daniel Arnold, Sean Peisert. Robust Optimal Control of Electric Vehicle Charging for Stochastic and Differentially Private Demand, IEEE Internet of Things Journal, Oct. 2025.
Tong Su, Tong Wu, Junbo Zhao, Anna Scaglione, Le Xie. A Review of Safe Reinforcement Learning Methods for Modern Power Systems, Proceedings of the IEEE, June 2025, Cover Paper. [Link]
Ignacio Losada Carreño, Anna Scaglione, Daniel Arnold, Tong Wu. Voltage security region of a three-phase unbalanced distribution power system with dynamics, IEEE Transactions on Power Systems. [Link]
Tong Wu, Anna Scaglione, Daniel Arnold. Constrained Reinforcement Learning for Predictive Control in Real-Time Stochastic Dynamic Optimal Power Flow, IEEE Transactions on Power Systems. [Link]
Tong Wu, Anna Scaglione, Daniel Arnold. Complex-Value Spatio-Temporal Graph Convolutional Neural Networks and Their Applications to Electric Power Systems AI, IEEE Transactions on Smart Grid. [Link]
Tong Wu, Ignacio Losada Carreño, Anna Scaglione, Daniel Arnold. Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms, IEEE Transactions on Smart Grid. [Link]
Raksha Ramakrishna, Anna Scaglione, Tong Wu, Nikhil Ravi, Sean Peisert. Differential Privacy for Class-Based Data: A Practical Gaussian Mechanism, IEEE Transactions on Information Forensics and Security. [Link]
Tong Wu, Angela Yingjun Zhang, Shuoyao Wang. Deep Learning to Optimize: Security-Constrained Unit Commitment with Uncertain Wind Power Generation and BESSs, IEEE Transactions on Sustainable Energy, 2021. [Link]
Tong Wu, Changhong Zhao, Angela Yingjun Zhang. Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption, IEEE Transactions on Smart Grid, 2021. [Link]
Tong Wu, Changhong Zhao, Angela Yingjun Zhang. Distributed AC-DC Optimal Power Dispatch of VSC-Based Energy Routers in Smart Microgrids, IEEE Transactions on Power Systems, 2021. [Link]
Tong Wu, Angela Yingjun Zhang, Yang Liu, Wing Cheong Lau, Huanle Xu. Missing Data Recovery in Large Power Systems Using Network Embedding, IEEE Transactions on Smart Grid, 2020. [Link]
Tong Wu, Angela Yingjun Zhang, Xiaoying Tang. Online Detection of Low-Quality Synchrophasor Measurements and Early Events Based on Isolation Forest, IEEE Transactions on Industrial Informatics, 2020. [Link]
Tong Wu, Angela Yingjun Zhang, He Wen. Voltage Stability Monitoring Based on Disagreement-Based Deep Learning in a Time-Varying Environment, IEEE Transactions on Power Systems, 2020. [Link]
Tong Wu, Angela Yingjun Zhang, Wangrong Tang. A VSC-Based BESS Model for Multi-Objective OPF Using Mixed Integer SOCP, IEEE Transactions on Power Systems, 2019. [Link]
Book Chapter
Tong Wu. Data Analytics and Energy Management of Local Energy Systems, Digitalisation of Local Energy Systems, Springer Nature, 2025.
Conference Papers
Tong Wu, Anna Scaglione, Sandy Miguel, Yanqing Tao, Daniel Arnold. Zero-Shot Transfer Learning for Three-Phase Unbalanced Power Distribution Systems, PowerUp 2026, Sept. 2026.
Tayab Uddin Wara, Saman Mazaheri Khamaneh, Tong Wu, George Atia. Modeling Coupled Transportation-Power Networks with Heterogeneous Graph Neural Networks, IEEE PES General Meeting (PESGM), 2026.
Sandy Miguel, Tong Wu, Yanqing Tao, Anna Scaglione, Daniel Arnold. Joint Detection of Cyber-Physical Attacks and False Data Injection Attacks: A Unified GCN Framework, The 57th North American Power Symposium (NAPS), 2025.
Saman Mazaheri Khamaneh, Tong Wu. Robust Optimal Power Flow Against Adversarial Attacks: A Tri-Level Optimization Approach, 2025 IEEE Kansas Power and Energy Conference (KPEC), 2025.
Tong Wu, Anna Scaglione, Daniel Arnold, Tianyi Chen. Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems, 2024 60th Annual Allerton Conference on Communication, Control, and Computing (Allerton) (invited paper), 2024.
Andrew Campbell, Hang Liu, Anna Scaglione, Tong Wu. A Federated Learning Approach for Graph Convolutional Neural Networks, IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024.
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, 57th Hawaii International Conference on System Sciences (HICSS), 2024.
Tong Wu, Anna Scaglione, Adrian Petru Surani, Daniel Arnold, Sean Peisert. Network-Constrained Reinforcement Learning for Optimal EV Charging Control, IEEE SmartGridComm (invited paper), 2023.
Tong Wu, Anna Scaglione, Daniel Arnold. Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control, IEEE PES General Meeting (PESGM), 2023. DOI: 10.1109/PESGM52003.2023.10253087
Tong Wu, Anna Scaglione, Daniel Arnold. Reinforcement Learning Using Physics-Inspired Graph Convolutional Neural Networks, 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton) (invited paper), 2022.
Tong Wu, Angela Yingjun Zhang, Xiaoying Tang. Isolation Forest Based Method for Low-Quality Synchrophasor Measurements and Early Events Detection, IEEE SmartGridComm, 2018. DOI: 10.1109/SmartGridComm.2018.8587434
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