| Nondestructive identification of coal and gangue via near-infrared spectroscopy based on improved broad learning L Zou, X Yu, M Li, M Lei, H Yu IEEE Transactions on Instrumentation and Measurement 69 (10), 8043-8052, 2020 | 80 | 2020 |
| Automatic detection of congestive heart failure based on multiscale residual unet++: From centralized learning to federated learning L Zou, Z Huang, X Yu, J Zheng, A Liu, M Lei IEEE Transactions on Instrumentation and Measurement 72, 1-13, 2022 | 31 | 2022 |
| Geographic origin identification of coal using near-infrared spectroscopy combined with improved random forest method M Lei, X Yu, M Li, W Zhu Infrared Physics & Technology 92, 177-182, 2018 | 27 | 2018 |
| An improved residual network for pork freshness detection using near-infrared spectroscopy L Zou, W Liu, M Lei, X Yu Entropy 23 (10), 1293, 2021 | 21 | 2021 |
| Identification of coal geographical origin using near infrared sensor based on broad learning M Lei, Z Rao, M Li, X Yu, L Zou Applied sciences 9 (6), 1111, 2019 | 19 | 2019 |
| Rapid discrimination of coal geographical origin via near-infrared spectroscopy combined with machine learning algorithms X Yu, W Guo, N Wu, L Zou, M Lei Infrared Physics & Technology 105, 103180, 2020 | 18 | 2020 |
| Intelligent proximate analysis of coal based on near infrared spectroscopy and multi-output deep learning L Zou, J Qiao, X Yu, X Chen, M Lei IEEE Transactions on Artificial Intelligence, 2023 | 17 | 2023 |
| Contrastive-enhanced domain generalization with federated learning X Yu, D Wang, MJ McKeown, ZJ Wang IEEE Transactions on Artificial Intelligence 5 (4), 1525-1532, 2023 | 6 | 2023 |
| A novel two-step spectral recovery framework for coal quality assessment by near-infrared spectroscopy M Lei, X Yu, M Li, Z Rao, X Dai Journal of Applied Spectroscopy 86, 655-660, 2019 | 2 | 2019 |
| Deep learning model shows promise for detecting and grading sesamoiditis in horse radiographs L Guo, X Yu, A Thair, A Rideout, A Collins, ZJ Wang, M Hore American Journal of Veterinary Research 85 (1), 2024 | 1 | 2024 |
| Explainable machine learning for assessing upper respiratory tract of racehorses from endoscopy videos AM Tahir, L Guo, RK Ward, X Yu, A Rideout, M Hore, ZJ Wang Computers in Biology and Medicine 181, 109030, 2024 | | 2024 |
| When Federated Learning Meets Medical Image Analysis: A Systematic Review with Challenges and Solutions T Yang, X Yu, MJ McKeown, ZJ Wang APSIPA Transactions on Signal and Information Processing 13 (1), 2024 | | 2024 |
Z. Jane WangProfessor of Electrical and Computer Engineering Dept., University of British Columbia, Canada在 ece.ubc.ca 的电子邮件经过验证
Z. Jane WangProfessor of Electrical and Computer Engineering Dept., University of British Columbia, Canada在 ece.ubc.ca 的电子邮件经过验证