| A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks Y Chengqing, Y Guangxi, Y Chengming, Z Yu, M Xiwei Energy 263, 126034, 2023 | 59 | 2023 |
| A hybrid model for appliance classification based on time series features H Liu, H Wu, C Yu Energy and Buildings 196, 112-123, 2019 | 59 | 2019 |
| A survey on fault diagnosis approaches for rolling bearings of railway vehicles G Yan, J Chen, Y Bai, C Yu, C Yu Processes 10 (4), 724, 2022 | 41 | 2022 |
| A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network H Liu, C Yu, C Yu, C Chen, H Wu Advanced Engineering Informatics 44, 101089, 2020 | 39 | 2020 |
| A new hybrid model based on secondary decomposition, reinforcement learning and SRU network for wind turbine gearbox oil temperature forecasting H Liu, C Yu, C Yu Measurement 178, 109347, 2021 | 31 | 2021 |
| An improved non-intrusive load disaggregation algorithm and its application H Liu, C Yu, H Wu, C Chen, Z Wang Sustainable cities and society 53, 101918, 2020 | 25 | 2020 |
| A novel multi-factor three-step feature selection and deep learning framework for regional GDP prediction: evidence from China Q Li, G Yan, C Yu Sustainability 14 (8), 4408, 2022 | 17 | 2022 |
| A new multipredictor ensemble decision framework based on deep reinforcement learning for regional gdp prediction Q Li, C Yu, G Yan IEEE Access 10, 45266-45279, 2022 | 14 | 2022 |
| Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China C Yu, G Yan, C Yu, X Mi Applied Soft Computing 148, 110864, 2023 | 9 | 2023 |
| An artificial intelligence model based on multi-step feature engineering and deep attention network for optical network performance monitoring Y Zhou, Z Yang, Q Sun, C Yu, C Yu Optik 273, 170443, 2023 | 9 | 2023 |
| Sentiment analysis of online course evaluation based on a new ensemble deep learning mode: evidence from Chinese X Pu, G Yan, C Yu, X Mi, C Yu Applied Sciences 11 (23), 11313, 2021 | 8 | 2021 |
| A multi-factor driven model for locomotive axle temperature prediction based on multi-stage feature engineering and deep learning framework G Yan, Y Bai, C Yu, C Yu Machines 10 (9), 759, 2022 | 5 | 2022 |
| Smart Device Recognition: Ubiquitous Electric Internet of Things H Liu, C Yu, H Wu Springer Nature, 2020 | 5 | 2020 |
| MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction C Yu, G Yan, C Yu, X Liu, X Mi Information Sciences 661, 120150, 2024 | 4 | 2024 |
| An ensemble convolutional reinforcement learning gate network for metro station PM2. 5 forecasting C Yu, G Yan, K Ruan, X Liu, C Yu, X Mi Stochastic Environmental Research and Risk Assessment, 1-16, 2023 | 3 | 2023 |
| Smart non-intrusive device recognition based on deep learning methods H Liu, C Yu, H Wu, H Liu, C Yu, H Wu Smart Device Recognition: Ubiquitous Electric Internet of Things, 229-258, 2021 | 2 | 2021 |
| Potential Applications of Smart Device Recognition in Industry H Liu, C Yu, H Wu, H Liu, C Yu, H Wu Smart Device Recognition: Ubiquitous Electric Internet of Things, 259-294, 2021 | 2 | 2021 |
| A hybrid ensemble deep reinforcement learning model for locomotive axle temperature using the deterministic and probabilistic strategy G Yan, H Liu, C Yu, C Yu, Y Li, Z Duan Transportation Safety and Environment 5 (3), tdac055, 2023 | 1 | 2023 |
| Train compartment vibration monitoring method and vibration signal feature library establishment and application methods H Liu, YU Chengming, Y Li, QIN Jin, L Zhang, S Yin, D Zhu US Patent 11,988,547, 2024 | | 2024 |
| TFEformer: A new temporal frequency ensemble transformer for day-ahead photovoltaic power prediction C Yu, J Qiao, C Chen, C Yu, X Mi Journal of Cleaner Production 448, 141690, 2024 | | 2024 |
