| AI in HVAC fault detection and diagnosis: A systematic review J Bi, H Wang, E Yan, C Wang, K Yan, L Jiang, B Yang Energy Reviews, 100071, 2024 | 16 | 2024 |
| An interpretable feature selection method integrating ensemble models for chiller fault diagnosis J Bi, H Wang, M Hua, K Yan Journal of Building Engineering 87, 109029, 2024 | 14 | 2024 |
| A method based on interpretable machine learning for recognizing the intensity of human engagement intention J Bi, F Hu, Y Wang, M Luo, M He Scientific Reports 13 (1), 2537, 2023 | 3 | 2023 |
| Interactive intention prediction model for humanoid robot based on visual features J Bi, M He, M Luo, F Hu Proceedings of the 2021 2nd International Conference on Control, Robotics …, 2021 | 3 | 2021 |
| SS-CWGAN: A novel fault diagnosis model for building HVAC systems under limited labeled data M Hua, K Yan, J Bi, H Wang Energy and Buildings 319, 114540, 2024 | 2 | 2024 |
| End-to-end residual learning embedded ACWGAN for AHU FDD with limited fault data J Bi, K Yan, Y Du Building and Environment, 112529, 2025 | | 2025 |
| Semi-supervised CWGAN-GP modeling for AHU AFDD with high-quality synthetic data filtering mechanism H Wang, J Bi, M Hua, K Yan, A Afshari Building and Environment 267, 112265, 2025 | | 2025 |
| Short-Term Solar Irradiance Forecasting Based on CNNiTransformer Model C Wang, H Wang, J Bi, K Yan 2024 IEEE Cyber Science and Technology Congress (CyberSciTech), 174-179, 2024 | | 2024 |
| Human engagement intention intensity recognition method based on two states fusion fuzzy inference system J Bi, F Hu, Y Wang, M Luo, M He Intelligent Service Robotics 16 (3), 307-322, 2023 | | 2023 |
