| A new energy consumption prediction method for chillers based on GraphSAGE by combining empirical knowledge and operating data Z Chen, Q Deng, H Ren, Z Zhao, T Peng, C Yang, W Gui Applied Energy 310, 118410, 2022 | 36 | 2022 |
| A knowledge embedded graph neural network-based cooling load prediction method using dynamic data association Z Chen, Z Zhao, Q Deng, P Tang, C Yang, X Li, W Gui Energy and Buildings 278, 112635, 2023 | 19 | 2023 |
| Energy consumption prediction of cold source system based on graphsage Z Chen, Q Deng, Z Zhao, B Sun, T Peng, C Yang IFAC-PapersOnLine 54 (11), 37-42, 2021 | 7 | 2021 |
| Application of just-in-time-learning CCA to the health monitoring of a real cold source system Z Chen, Q Deng, Z Zhao, P Tang, W Luo, Q Liu IFAC-PapersOnLine 55 (6), 23-30, 2022 | 5 | 2022 |
| Cooling load prediction based on correlative temporal graph convolutional network Z Zhao, Z Chen, Q Deng, P Tang, T Peng 2022 4th International Conference on Industrial Artificial Intelligence (IAI …, 2022 | 2 | 2022 |
| Cross-dataset motor imagery decoding—A transfer learning assisted graph convolutional network approach J Zhang, K Li, B Yang, Z Zhao Biomedical Signal Processing and Control 102, 107213, 2025 | | 2025 |
