| Unsupervised deep learning for AC optimal power flow via Lagrangian duality K Chen, S Bose, Y Zhang GLOBECOM 2022-2022 IEEE Global Communications Conference, 5305-5310, 2022 | 9 | 2022 |
| Physics-guided residual learning for probabilistic power flow analysis K Chen, Y Zhang IEEE Access 11, 90309-90321, 2023 | 7 | 2023 |
| Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning K Chen, Y Zhang 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2022 | 4 | 2022 |
| On LinDistFlow model congestion pricing: Bounding the changes in power tariffs S Bose, K Chen, Y Zhang 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), 1-6, 2023 | 2 | 2023 |
| Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method A Sahu, T Nguyen, K Chen, X Zhang, M Hassanaly IEEE Access, 2024 | 1 | 2024 |
| Physics-Informed Gradient Estimation for Accelerating Deep Learning based AC-OPF K Chen, S Bose, Y Zhang IEEE Transactions on Industrial Informatics, 2025 | | 2025 |
| Adversarial Multi-Agent Reinforcement Learning for Proactive False Data Injection Detection K Chen, T Nguyen, M Hassanaly arXiv preprint arXiv:2411.12130, 2024 | | 2024 |
| Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability P Aslami, K Chen, TM Hansen, M Hassanaly arXiv preprint arXiv:2411.10367, 2024 | | 2024 |
| A Mixture-of-Gradient-Experts Framework for Accelerating AC Optimal Power Flow S Bose, K Chen, Y Zhang arXiv preprint arXiv:2312.07276, 2023 | | 2023 |