| Learning from imbalanced data H He, EA Garcia IEEE Transactions on knowledge and data engineering 21 (9), 1263-1284, 2009 | 10441 | 2009 |
| ADASYN: Adaptive synthetic sampling approach for imbalanced learning H He, Y Bai, EA Garcia, S Li 2008 IEEE international joint conference on neural networks (IEEE world …, 2008 | 5458 | 2008 |
| Imbalanced learning: foundations, algorithms, and applications H He, Y Ma John Wiley & Sons, 2013 | 1424 | 2013 |
| Multiscale convolutional neural networks for fault diagnosis of wind turbine gearbox G Jiang, H He, J Yan, P Xie IEEE Transactions on Industrial Electronics 66 (4), 3196-3207, 2018 | 779 | 2018 |
| Cyberphysical attacks and defences in the smart grid: a survey H He, J Yan IET CyberPhysical Systems: Theory & Applications 1 (1), 13-27, 2016 | 473 | 2016 |
| Model-free real-time EV charging scheduling based on deep reinforcement learning Z Wan, H Li, H He, D Prokhorov IEEE Transactions on Smart Grid 10 (5), 5246-5257, 2018 | 468 | 2018 |
| Incorporating intelligence in fog computing for big data analysis in smart cities B Tang, Z Chen, G Hefferman, S Pei, T Wei, H He, Q Yang IEEE Transactions on Industrial informatics 13 (5), 2140-2150, 2017 | 426 | 2017 |
| A hierarchical distributed fog computing architecture for big data analysis in smart cities B Tang, Z Chen, G Hefferman, T Wei, H He, Q Yang Proceedings of the ASE BigData & SocialInformatics 2015, 1-6, 2015 | 425 | 2015 |
| Contribution of the compass satellite navigation system to global PNT users YX Yang, JL Li, JY Xu, J Tang, HR Guo, HB He Chinese science bulletin 56, 2813-2819, 2011 | 399 | 2011 |
| A self-organizing learning array system for power quality classification based on wavelet transform H He, JA Starzyk IEEE Transactions on Power Delivery 21 (1), 286-295, 2005 | 376 | 2005 |
| Adaptive critic nonlinear robust control: A survey D Wang, H He, D Liu IEEE transactions on cybernetics 47 (10), 3429-3451, 2017 | 366 | 2017 |
| Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles X Hu, L Chen, B Tang, D Cao, H He Mechanical systems and signal processing 100, 482-500, 2018 | 339 | 2018 |
| Constrained EV charging scheduling based on safe deep reinforcement learning H Li, Z Wan, H He IEEE Transactions on Smart Grid 11 (3), 2427-2439, 2019 | 333 | 2019 |
| Air-breathing hypersonic vehicle tracking control based on adaptive dynamic programming C Mu, Z Ni, C Sun, H He IEEE transactions on neural networks and learning systems 28 (3), 584-598, 2016 | 298 | 2016 |
| Toward optimal feature selection in naive Bayes for text categorization B Tang, S Kay, H He IEEE transactions on knowledge and data engineering 28 (9), 2508-2521, 2016 | 286 | 2016 |
| A local density-based approach for outlier detection B Tang, H He Neurocomputing 241, 171-180, 2017 | 283 | 2017 |
| Wind turbine fault detection using a denoising autoencoder with temporal information G Jiang, P Xie, H He, J Yan IEEE/Asme transactions on mechatronics 23 (1), 89-100, 2017 | 282 | 2017 |
| Stochastic optimization of economic dispatch for microgrid based on approximate dynamic programming H Shuai, J Fang, X Ai, Y Tang, J Wen, H He IEEE Transactions on Smart Grid 10 (3), 2440-2452, 2018 | 274 | 2018 |
| Q-learning-based vulnerability analysis of smart grid against sequential topology attacks J Yan, H He, X Zhong, Y Tang IEEE Transactions on Information Forensics and Security 12 (1), 200-210, 2016 | 272 | 2016 |
| Stacked multilevel-denoising autoencoders: A new representation learning approach for wind turbine gearbox fault diagnosis G Jiang, H He, P Xie, Y Tang IEEE Transactions on Instrumentation and Measurement 66 (9), 2391-2402, 2017 | 270 | 2017 |
