| 2016 Index IEEE Computational Intelligence Magazine Vol. 11 H Abbass, N Agell, M Alamgir, J Alcala-Fdez, C Alippi, J Alonso, Y Altun, ... Notes 1101, 46-58, 2016 | | 2016 |
| 2018 Index IEEE Computational Intelligence Magazine Vol. 13 P Abreu, D Alahakoon, R Allmendinger, I Amaya, H Araujo, D Ashlock, ... IEEE Computational Intelligence Magazine, 2018 | | 2018 |
| 2020 Index IEEE Computational Intelligence Magazine Vol. 15 M Akhtar, C Alippi, J An, R Arcucci, J Bacardit, J Bai, S Banshal, A Basu, ... sage 1101, 3, 2020 | | 2020 |
| 5 INNS Organization R Kozma, Y Choe, P Angelov, P Erdi, I King, S Ozawa, A Minai, ... | | |
| 8th International Symposium on Advances in Neural Networks---ISNN 2011-Volume 6675 D Liu, H Zhang, M Polycarpou, C Alippi, H He Springer-Verlag, 2011 | | 2011 |
| A Bayesian classification approach using class-specific features for text categorization B Tang, H He, PM Baggenstoss, S Kay IEEE Transactions on Knowledge and Data Engineering 28 (6), 1602-1606, 2016 | 216 | 2016 |
| A bi-layer optimization based temporal and spatial scheduling for large-scale electric vehicles L He, J Yang, J Yan, Y Tang, H He Applied energy 168, 179-192, 2016 | 67 | 2016 |
| A boost voting strategy for knowledge integration and decision making H He, Y Cao, J Wen, S Cheng Advances in Neural Networks-ISNN 2008: 5th International Symposium on Neural …, 2008 | 3 | 2008 |
| A boundedness theoretical analysis for GrADP design: A case study on maze navigation Z Ni, X Zhong, H He 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 4 | 2015 |
| A cascaded distributed control framework in DC microgrids J Zhou, M Shi, X Chen, Y Chen, J Wen, H He IEEE Transactions on Smart Grid 12 (1), 205-214, 2020 | 23 | 2020 |
| A cascading failure simulation model considering frequency dynamics and power flow distribution C Luo, J Yang, Y Sun, J Yan, H He, M Liu 2015 North American Power Symposium (NAPS), 1-6, 2015 | 8 | 2015 |
| A chance constrained optimal reserve scheduling approach for economic dispatch considering wind penetration Y Tang, C Luo, J Yang, H He IEEE/CAA Journal of Automatica Sinica 4 (2), 186-194, 2017 | 40 | 2017 |
| A comparative study between motivated learning and reinforcement learning J Graham, JA Starzyk, Z Ni, H He, TH Teng, AH Tan 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 6 | 2015 |
| A comparison of several approaches for velocity determination with GPS H He, Y Yang, Z Sun Acta geodaetica et cartographica sinica 31 (3), 217-221, 2002 | 26 | 2002 |
| A Data Driven-based Adaptive Wide-area Damping Control for back to back VSC-HVDC L Zeng, D Li, W Yao, J Sun, J Liu, X Ai, J Wen, H He Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of …, 2018 | 1 | 2018 |
| A data-driven approach for real-time residential EV charging management Z Wan, H Li, H He, D Prokhorov 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 20 | 2018 |
| A deep reinforcement learning based approach for home energy management system H Li, Z Wan, H He 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020 | 31 | 2020 |
| A distributed iterative learning framework for DC microgrids: Current sharing and voltage regulation XK Liu, H Jiang, YW Wang, H He IEEE Transactions on Emerging Topics in Computational Intelligence 4 (2 …, 2018 | 43 | 2018 |
| A distributed optical fiber sensing system for data center thermal monitoring Z Chen, S Pei, B Tang, G Hefferman, H He, Q Yang, T Wei Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2018 | 5 | 2018 |
| A fast deep learning system using GPU Z Chen, J Wang, H He, X Huang 2014 IEEE international symposium on circuits and systems (ISCAS), 1552-1555, 2014 | 50 | 2014 |
