| Short-term non-residential load forecasting based on multiple sequences LSTM recurrent neural network R Jiao, T Zhang, Y Jiang, H He IEEE Access 6, 59438-59448, 2018 | 133 | 2018 |
| Language feature mining for music emotion classification via supervised learning from lyrics H He, J Jin, Y Xiong, B Chen, W Sun, L Zhao Advances in Computation and Intelligence: Third International Symposium …, 2008 | 54 | 2008 |
| Adaptive feature selection and construction for day-ahead load forecasting use deep learning method R Jiao, S Wang, T Zhang, H Lu, H He, BB Gupta IEEE Transactions on Network and Service Management 18 (4), 4019-4029, 2021 | 26 | 2021 |
| Short-term load probabilistic forecasting based on quantile regression convolutional neural network and Epanechnikov kernel density estimation H He, J Pan, N Lu, B Chen, R Jiao Energy Reports 6, 1550-1556, 2020 | 26 | 2020 |
| Short text feature extraction and clustering for web topic mining H He, B Chen, W Xu, J Guo Third International Conference on Semantics, Knowledge and Grid (SKG 2007 …, 2007 | 24 | 2007 |
| Probabilistic solar irradiance forecasting via a deep learning‐based hybrid approach H He, N Lu, Y Jie, B Chen, R Jiao IEEJ Transactions on Electrical and Electronic Engineering 15 (11), 1604-1612, 2020 | 20 | 2020 |
| An insulator self-blast detection method based on YOLOv4 with aerial images H He, X Huang, Y Song, Z Zhang, M Wang, B Chen, G Yan Energy Reports 8, 448-454, 2022 | 17 | 2022 |
| A deep learning model for small-size defective components detection in power transmission tower R Jiao, Y Liu, H He, X Ma, Z Li IEEE Transactions on Power Delivery 37 (4), 2551-2561, 2021 | 17 | 2021 |
| A power forecasting approach for PV plant based on irradiance index and LSTM H He, R Hu, Y Zhang, Y Zhang, R Jiao 2018 37th Chinese control conference (CCC), 9404-9409, 2018 | 17 | 2018 |
| Constructing maximum entropy language models for movie review subjectivity analysis B Chen, H He, J Guo Journal of Computer Science and Technology 23 (2), 231-239, 2008 | 17 | 2008 |
| End-to-end probabilistic forecasting of electricity price via convolutional neural network and label distribution learning H He, N Lu, Y Jiang, B Chen, R Jiao Energy Reports 6, 1176-1183, 2020 | 15 | 2020 |
| A novel nonintrusive load monitoring approach based on linear-chain conditional random fields H He, Z Liu, R Jiao, G Yan Energies 12 (9), 1797, 2019 | 15 | 2019 |
| Pin-missing defect recognition based on feature fusion and spatial attention mechanism H He, Y Li, J Yang, Z Wang, B Chen, R Jiao Energy Reports 8, 656-663, 2022 | 11 | 2022 |
| Quantum anonymous ranking and selection with verifiability Q Wang, Y Li, C Yu, H He, K Zhang Quantum Information Processing 19, 1-19, 2020 | 11 | 2020 |
| Daily peak load prediction based on correlation analysis and Bi-directional long short-term memory network Y Li, X Liu, F Xing, G Wen, N Lu, H He, R Jiao Power Syst. Technol 45 (7), 2719-2730, 2021 | 10 | 2021 |
| Integrated route and charging planning for electric vehicles considering nonlinear charging functions Y Zhang, Q Ma, X Zhang, M Gao, P Yang, H He, X Hu, B Aliya 2018 IEEE 22nd International Conference on Computer Supported Cooperative …, 2018 | 10 | 2018 |
| Chord-based semantic service discovery with QoS Y Zhang, H He, J Teng 2013 Fifth International Conference on Measuring Technology and Mechatronics …, 2013 | 10 | 2013 |
| InParformer: evolutionary decomposition transformers with interactive parallel attention for long-term time series forecasting H Cao, Z Huang, T Yao, J Wang, H He, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6906-6915, 2023 | 5 | 2023 |
| Wildfire detection for transmission line based on improved lightweight YOLO H He, Z Zhang, Q Jia, L Huang, Y Cheng, B Chen Energy Reports 9, 512-520, 2023 | 5 | 2023 |
| A multi-feature based automatic approach to geospatial record linking Y Zhang, P Yang, C Li, G Zhang, C Wang, H He, X Hu, Z Guan International Journal on Semantic Web and Information Systems (IJSWIS) 14 (4 …, 2018 | 5 | 2018 |
Bo ChenChina Unicom Big Data Co., Ltd.Dirección de correo verificada de chinaunicom.cn
