| A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting H Liu, C Yu, H Wu, Z Duan, G Yan Energy 202, 117794, 2020 | 174 | 2020 |
| Artificial intelligence for geoscience: Progress, challenges and perspectives T Zhao, S Wang, C Ouyang, M Chen, C Liu, J Zhang, L Yu, F Wang, Y Xie, ... The Innovation, 2024 | 126 | 2024 |
| 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 | 95 | 2023 |
| Dsformer: A double sampling transformer for multivariate time series long-term prediction C Yu, F Wang, Z Shao, T Sun, L Wu, Y Xu Proceedings of the 32nd ACM international conference on information and …, 2023 | 60 | 2023 |
| A new multi-data-driven spatiotemporal PM2. 5 forecasting model based on an ensemble graph reinforcement learning convolutional network X Liu, M Qin, Y He, X Mi, C Yu Atmospheric Pollution Research 12 (10), 101197, 2021 | 59 | 2021 |
| Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis Z Shao, F Wang, Y Xu, W Wei, C Yu, Z Zhang, D Yao, T Sun, G Jin, X Cao, ... IEEE Transactions on Knowledge and Data Engineering, 2024 | 53 | 2024 |
| 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 | 49 | 2022 |
| A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network P Shang, X Liu, C Yu, G Yan, Q Xiang, X Mi Digital Signal Processing 123, 103419, 2022 | 47 | 2022 |
| A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning W Jin, S Dong, C Yu, Q Luo Computers in Biology and Medicine 146, 105560, 2022 | 44 | 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 | 43 | 2020 |
| A new ensemble spatio-temporal PM2. 5 prediction method based on graph attention recursive networks and reinforcement learning J Tan, H Liu, Y Li, S Yin, C Yu Chaos, Solitons & Fractals 162, 112405, 2022 | 38 | 2022 |
| 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 | 34 | 2021 |
| Wind-speed prediction model based on variational mode decomposition, temporal convolutional network, and sequential triplet loss H Li, Z Jiang, Z Shi, Y Han, C Yu, X Mi Sustainable Energy Technologies and Assessments 52, 101980, 2022 | 29 | 2022 |
| A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network X Mi, C Yu, X Liu, G Yan, F Yu, P Shang Digital Signal Processing 129, 103643, 2022 | 24 | 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 | 24 | 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 | 21 | 2023 |
| Wind turbine bearing temperature forecasting using a new data-driven ensemble approach G Yan, C Yu, Y Bai Machines 9 (11), 248, 2021 | 20 | 2021 |
| 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 | 19 | 2022 |
| A new hybrid ensemble deep learning model for train axle temperature short term forecasting G Yan, C Yu, Y Bai Machines 9 (12), 312, 2021 | 19 | 2021 |
| Ginar: An end-to-end multivariate time series forecasting model suitable for variable missing C Yu, F Wang, Z Shao, T Qian, Z Zhang, W Wei, Y Xu Proceedings of the 30th ACM SIGKDD conference on knowledge discovery and …, 2024 | 18 | 2024 |
Chengming YuCentral South UniversityEmail verificata su csu.edu.cn