Representative Publications:

H. He and E. A. Garcia, “Learning from Imbalanced Data,” IEEE Trans. Knowledge and Data Engineering, Volume 21, Issue 9, pp. 1263-1284, 2009.

H. He, Self-Adaptive Systems for Machine Intelligence, ISBN: 978-0-470-34396-8, Hardcover, 248 pages, Wiley, August, 2011

H. He and Y. Ma, Editors, Imbalanced Learning: Foundations, Algorithms, and Applications, Wiley-IEEE, ISBN: 978-1-118-07462-6, Hardcover, 216 pages, Wiley-IEEE, July 2013

H. Li, N. Clavette, H. He, “An Analytical Update Rule for General Policy Optimization,” Proceedings of the 39th International Conference on Machine Learning (ICML 2022), Baltimore, Maryland, PMRL 162, 2022.

H. He and H. Jiang, “Deep Learning based Energy Efficiency Optimization for Distributed Cooperative Spectrum Sensing,” IEEE Wireless Communications Magazine, Volume: 26, Issue: 3, pp. 32 – 39, June 2019

H. He and X. Zhong, “Learning Without External Reward,” IEEE Computational Intelligene Magazine, Volume: 13, Issue: 3, pp. 48 – 54, Aug. 2018, 2018