| Wind turbine gearbox failure detection based on SCADA data: A deep learning-based approach L Yang, Z Zhang IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 92 | 2020 |
| A conditional convolutional autoencoder-based method for monitoring wind turbine blade breakages L Yang, Z Zhang IEEE transactions on industrial informatics 17 (9), 6390-6398, 2020 | 76 | 2020 |
| Short-term multi-step ahead wind power predictions based on a novel deep convolutional recurrent network method X Liu, L Yang, Z Zhang IEEE Transactions on Sustainable Energy 12 (3), 1820-1833, 2021 | 49 | 2021 |
| A deep attention convolutional recurrent network assisted by k-shape clustering and enhanced memory for short term wind speed predictions L Yang, Z Zhang IEEE Transactions on Sustainable Energy 13 (2), 856-867, 2021 | 37 | 2021 |
| Generative probabilistic wind speed forecasting: A variational recurrent autoencoder based method Z Zheng, L Wang, L Yang, Z Zhang IEEE Transactions on Power Systems 37 (2), 1386-1398, 2021 | 33 | 2021 |
| The attention-assisted ordinary differential equation networks for short-term probabilistic wind power predictions X Liu, L Yang, Z Zhang Applied Energy 324, 119794, 2022 | 27 | 2022 |
| A continual learning-based framework for developing a single wind turbine cybertwin adaptively serving multiple modeling tasks L Yang, L Wang, Z Zheng, Z Zhang IEEE Transactions on Industrial Informatics 18 (7), 4912-4921, 2021 | 21 | 2021 |
| A two-channel deep network based model for improving ultra-short-term prediction of wind power via utilizing multi-source data H Liu, L Yang, B Zhang, Z Zhang Energy 283, 128510, 2023 | 20 | 2023 |
| An improved mixture density network via wasserstein distance based adversarial learning for probabilistic wind speed predictions L Yang, Z Zheng, Z Zhang IEEE Transactions on Sustainable Energy 13 (2), 755-766, 2021 | 15 | 2021 |
| Generative wind power curve modeling via machine vision: a deep convolutional network method with data-synthesis-informed-training L Yang, L Wang, Z Zhang IEEE Transactions on Power Systems 38 (2), 1111-1124, 2022 | 12 | 2022 |
| Hybrid separable convolutional inception residual network for human facial expression recognition X Fan, R Qureshi, AR Shahid, J Cao, L Yang, H Yan 2020 International Conference on Machine Learning and Cybernetics (ICMLC), 21-26, 2020 | 12 | 2020 |
| Conditional variational autoencoder informed probabilistic wind power curve modeling Z Zheng, L Yang, Z Zhang IEEE Transactions on Sustainable Energy 14 (4), 2445-2460, 2023 | 9 | 2023 |
| UAV-assisted wind turbine counting with an image-level supervised deep learning approach X Liu, L Yang, Z Wang, L Wang, C Huang, Z Zhang, X Luo IEEE Journal on Miniaturization for Air and Space Systems 4 (1), 18-24, 2022 | 6 | 2022 |
| Integrated electricity-gas system optimal dispatch based on deep reinforcement learning X Teng, H Long, L Yang 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 1082-1086, 2021 | 5 | 2021 |
| Your time series is worth a binary image: machine vision assisted deep framework for time series forecasting L Yang, X Fan, Z Zhang arXiv preprint arXiv:2302.14390, 2023 | 4 | 2023 |
| Vitime: A visual intelligence-based foundation model for time series forecasting L Yang, Y Wang, X Fan, I Cohen, J Chen, Y Zhao, Z Zhang arXiv preprint arXiv:2407.07311, 2024 | 2 | 2024 |
| Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method L Yang, L Wang, Z Zhang arXiv preprint arXiv:2109.00894, 2021 | 2 | 2021 |
| Rubik's Cube Operator: A Plug And Play Permutation Module for Better Arranging High Dimensional Industrial Data in Deep Convolutional Processes L Yang, Z Zheng, Z Zhang arXiv preprint arXiv:2203.12921, 2022 | | 2022 |
Zijun ZhangProfessor, Department of Data Science, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
