Haibo He’s Research Profile

He, Haibo, 2021

Recent Grants1

6/18/2019. PI. National Science Foundation, “Collaborative Research: Autonomous Hierarchical Adaptive Dynamic Programming for Decision Making in Complex Environment”

Recent Publications1

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

Honors & Awards

  • 2018, IEEE Fellow
  • 2017 NSF CAREER Award
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