| Citation |
| Li H, He H. Multiagent Trust Region Policy Optimization. IEEE Transactions on Neural Network and Learning Systems, 2023. doi: 10.1109/TNNLS.2023.3265358 |
| Wang Z, Li H, He H, Sun Y. Robust Distributed Finite-time Secondary Frequency Control of Islanded AC Microgrids With Event-Triggered Mechanism, 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). 2023; 1-5. doi: 10.1109/ISGT51731.2023.10066379 |
| Li H, Clavette N, He H. An Analytical Update Rule for General Policy Optimization. International Conference on Machine Learning, 2022; 12696-12716. |
| He Haibo, Jiang H. Deep Learning based Energy Efficiency Optimization for Distributed Cooperative Spectrum Sensing, IEEE Wireless Communications, 2019; 26(3), 32-39. doi: 10.1109/MWC.2019.18003972 |
| He H, Zhong X. Learning without external reward. IEEE Computational Intelligence Magazine, 2018; 13(3), 48-54. doi: 10.1109/MCI.2018.2840727 |
| Ma Y, He H. Imbalance learning: foundations, algorithms, and applications. John Wiley & Sons, 2013. |
| He H. Self-adaptive systems for machine intelligence. John Wiley & Sons, 2011. |
| He H, Garcia EA. Learning from imbalanced data. IEEE Transactions on knowledge and data engineering, 2009; 21(9), 1263-1284. doi: 10.1109/TKDE.2008.239 |
