Fault diagnostics between different type of components: A transfer learning approach X Li, Y Hu, M Li, J Zheng Applied Soft Computing 86, 105950, 2020 | 105 | 2020 |
Central moment discrepancy based domain adaptation for intelligent bearing fault diagnosis X Li, Y Hu, J Zheng, M Li, W Ma Neurocomputing 429, 12-24, 2021 | 75 | 2021 |
Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications Y Lin, X Li, Y Hu Applied Soft Computing 72, 555-564, 2018 | 65 | 2018 |
Scarletnas: Bridging the gap between scalability and fairness in neural architecture search X Chu, B Zhang, J Li, Q Li, R Xu arXiv preprint arXiv:1908.06022 4 (6), 2019 | 48* | 2019 |
One-shot neural architecture search for fault diagnosis using vibration signals X Li, J Zheng, M Li, W Ma, Y Hu Expert Systems with Applications 190, 116027, 2022 | 32 | 2022 |
Mixpath: A unified approach for one-shot neural architecture search X Chu, S Lu, X Li, B Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 31 | 2023 |
Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis YH Xudong Li, Mingtao Li, Jianhua Zheng, Wenzhen Ma Sensors, 2021 | 20 | 2021 |
Neural architecture search for fault diagnosis X Li, Y Hu, J Zheng, M Li arXiv preprint arXiv:2002.07997, 2020 | 10 | 2020 |
Differentiable neural architecture search for domain adaptation in fault diagnosis Y Liu, X Li, Y Hu Mechanical Systems and Signal Processing 202, 110639, 2023 | 3 | 2023 |
Issues and tips: a set of integrated experiments of applying auto-encoder and convolutional neural network in feature extraction and fault diagnosis X Li, M Li, J Zheng, Y Hu 2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018 | 2 | 2018 |
Deep Transfer Learning and its Difficulty Measurement for Fault Diagnosis in Changing Working Conditions XL Yang Hu, Mingtao Li, Jianhua Zheng, Wenzhen Ma PHM Asia Pacific 2019, 2019 | | 2019 |