| Utilizing unlabeled data to detect electricity fraud in AMI: A semisupervised deep learning approach T Hu, Q Guo, X Shen, H Sun, R Wu, H Xi IEEE transactions on neural networks and learning systems 30 (11), 3287-3299, 2019 | 93 | 2019 |
| Very short-term spatial and temporal wind power forecasting: A deep learning approach T Hu, W Wu, Q Guo, H Sun, L Shi, X Shen CSEE Journal of Power and Energy Systems 6 (2), 434-443, 2019 | 59 | 2019 |
| A deep spatial-temporal data-driven approach considering microclimates for power system security assessment T Huang, Q Guo, H Sun, CW Tan, T Hu Applied energy 237, 36-48, 2019 | 41 | 2019 |
| A transferred recurrent neural network for battery calendar health prognostics of energy-transportation systems K Liu, Q Peng, H Sun, M Fei, H Ma, T Hu IEEE Transactions on Industrial Informatics 18 (11), 8172-8181, 2022 | 40 | 2022 |
| Nontechnical losses detection through coordinated BiWGAN and SVDD T Hu, Q Guo, H Sun, TE Huang, J Lan IEEE transactions on neural networks and learning systems 32 (5), 1866-1880, 2020 | 38 | 2020 |
| Distribution-free probability density forecast through deep neural networks T Hu, Q Guo, Z Li, X Shen, H Sun IEEE transactions on neural networks and learning systems 31 (2), 612-625, 2019 | 37 | 2019 |
| Electrochemical-theory-guided modeling of the conditional generative adversarial network for battery calendar aging forecast T Hu, H Ma, H Sun, K Liu IEEE Journal of emerging and selected topics in power electronics 11 (1), 67-77, 2022 | 35 | 2022 |
| AdaBoost-SVM for electrical theft detection and GRNN for stealing time periods identification R Wu, L Wang, T Hu IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018 | 29 | 2018 |
| A deep learning approach for power system knowledge discovery based on multitask learning T Huang, Q Guo, H Sun, CW Tan, T Hu IET Generation, Transmission & Distribution 13 (5), 733-740, 2019 | 25 | 2019 |
| Lithium-ion battery calendar health prognostics based on knowledge-data-driven attention T Hu, H Ma, K Liu, H Sun IEEE Transactions on Industrial Electronics 70 (1), 407-417, 2022 | 22 | 2022 |
| Weakly-supervised semantic segmentation with superpixel guided local and global consistency S Yi, H Ma, X Wang, T Hu, X Li, Y Wang Pattern Recognition 124, 108504, 2022 | 20 | 2022 |
| Quantile forecast of renewable energy generation based on indicator gradient descent and deep residual BiLSTM T Hu, K Li, H Ma, H Sun, K Liu Control Engineering Practice 114, 104863, 2021 | 19 | 2021 |
| Self-attention-based machine theory of mind for electric vehicle charging demand forecast T Hu, H Ma, H Liu, H Sun, K Liu IEEE Transactions on Industrial Informatics 18 (11), 8191-8202, 2022 | 15 | 2022 |
| Probabilistic electric vehicle charging demand forecast based on deep learning and machine theory of mind T Hu, K Liu, H Ma 2021 IEEE Transportation Electrification Conference & Expo (ITEC), 795-799, 2021 | 13 | 2021 |
| Nontechnical loss detection based on stacked uncorrelating autoencoder and support vector machine T Hu, Q Guo, H Sun Automation of Electric Power Systems 43 (1), 119-127, 2019 | 10 | 2019 |
| Visibility of points: Mining occlusion cues for monocular 3D object detection H Chu, L Mo, R Wang, T Hu, H Ma Neurocomputing 502, 48-56, 2022 | 5 | 2022 |
| Lidar-based 3d video object detection with foreground context modeling and spatiotemporal graph reasoning Z Xiong, H Ma, Y Wang, T Hu, Q Liao 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 5 | 2021 |
| Eliminating spatial ambiguity for weakly supervised 3d object detection without spatial labels H Liu, H Ma, Y Wang, B Zou, T Hu, R Wang, J Chen Proceedings of the 30th ACM International Conference on Multimedia, 3511-3520, 2022 | 3 | 2022 |
| Plnl-3dssd: Part-aware 3d single stage detector using local and non-local attention H Liu, H Ma, Y Chen, X Li, T Hu 2021 IEEE International Conference on Image Processing (ICIP), 3148-3152, 2021 | 3 | 2021 |
| Enhancing short-term wind speed forecasting using graph attention and frequency-enhanced mechanisms H Liu, T Hu arXiv preprint arXiv:2305.11526, 2023 | 2 | 2023 |
