An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning H Li, X Zhong, H He 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
Multiagent trust region policy optimization H Li, H He IEEE Transactions on Neural Networks and Learning Systems, 2023 | 34 | 2023 |
Robust Distributed Finite-time Secondary Frequency Control of Islanded AC Microgrids With Event-Triggered Mechanism Z Wang, H Li, H He, Y Sun 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2023 | 4 | 2023 |
RTK positioning based on the phase-only differential corrections J Li, Y Yang, H He, B Wang Advances in Space Research 70 (4), 880-889, 2022 | 1 | 2022 |
An analytical update rule for general policy optimization H Li, N Clavette, H He International Conference on Machine Learning, 12696-12716, 2022 | 6 | 2022 |
Resilient Predictor-Based Load Frequency Control for Multi-Region Power Systems Under DoS Attacks Z Wang, W Danilczyk, H Li, H He, YL Sun 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2022 | | 2022 |
Learning to operate distribution networks with safe deep reinforcement learning H Li, H He IEEE Transactions on Smart Grid 13 (3), 1860-1872, 2022 | 63 | 2022 |
Online microgrid energy management based on safe deep reinforcement learning H Li, Z Wang, L Li, H He 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 9 | 2021 |
Multi-view semi-supervised learning for cooperative spectrum sensing L Li, L Slayton, H Li, H He 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2021 | 1 | 2021 |
Blockchain checksum for establishing secure communications for digital twin technology W Danilczyk, YL Sun, H He 2021 North American Power Symposium (NAPS), 1-6, 2021 | 5 | 2021 |
Distributed secondary frequency and voltage regulation in islanded microgrids with noise using intermittent control Z Wang, W Danilczyk, H Li, H He, YL Sun 2021 North American Power Symposium (NAPS), 1-6, 2021 | 1 | 2021 |
CIS Publication Spotlight [Publication Spotlight] H He, J Garibaldi, CAC Coello, J Togelius, Y Jin, YS Ong, H Abbass IEEE Computational Intelligence Magazine 16 (4), 14-16, 2021 | | 2021 |
Learning from negative links H Jiang, H He IEEE Transactions on Cybernetics 52 (8), 8481-8492, 2021 | 2 | 2021 |
Adversarial attack for deep reinforcement learning based demand response Z Wan, H Li, H Shuai, YL Sun, H He 2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021 | 7 | 2021 |
Distributed volt-VAR optimization based on multi-agent deep reinforcement learning H Li, Z Wang, H He 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 7 | 2021 |
Graph-based multi-view learning for cooperative spectrum sensing L Li, H Jiang, H He 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 7 | 2021 |
A reinforcement learning-based control approach for unknown nonlinear systems with persistent adversarial inputs X Zhong, H He 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
Graph neural network based interference estimation for device-to-device wireless communications H Jiang, L Li, Z Wang, H He 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 3 | 2021 |
Edge-based adaptive distributed method for synchronization of intermittently coupled spatiotemporal networks C Hu, H He, H Jiang IEEE Transactions on Automatic Control 67 (5), 2597-2604, 2021 | 39 | 2021 |
Incomplete multi-view clustering with joint partition and graph learning L Li, Z Wan, H He IEEE Transactions on Knowledge and Data Engineering 35 (1), 589-602, 2021 | 88 | 2021 |