| Semi-supervised learning for lithology identification using Laplacian support vector machine Z Li, Y Kang, D Feng, XM Wang, W Lv, J Chang, WX Zheng Journal of Petroleum Science and Engineering 195, 107510, 2020 | 58 | 2020 |
| Indoor localization for skid-steering mobile robot by fusing encoder, gyroscope, and magnetometer W Lv, Y Kang, J Qin IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (6), 1241-1253, 2019 | 55 | 2019 |
| Well logging based lithology identification model establishment under data drift: A transfer learning method H Liu, Y Wu, Y Cao, W Lv, H Han, Z Li, J Chang Sensors 20 (13), 3643, 2020 | 47 | 2020 |
| Comparative study of different methods in vibration-based terrain classification for wheeled robots with shock absorbers M Mei, J Chang, Y Li, Z Li, X Li, W Lv Sensors 19 (5), 1137, 2019 | 43 | 2019 |
| Evaluation of active learning algorithms for formation lithology identification T Xu, J Chang, D Feng, W Lv, Y Kang, H Liu, J Li, Z Li Journal of Petroleum Science and Engineering 206, 108999, 2021 | 27 | 2021 |
| Unsupervised domain adaptation using maximum mean discrepancy optimization for lithology identification J Chang, J Li, Y Kang, W Lv, T Xu, Z Li, W Xing Zheng, H Han, H Liu Geophysics 86 (2), ID19-ID30, 2021 | 23 | 2021 |
| Feature-temporal semi-supervised extreme learning machine for robotic terrain classification W Lv, Y Kang, WX Zheng, Y Wu, Z Li IEEE Transactions on Circuits and Systems II: Express Briefs 67 (12), 3567-3571, 2020 | 23 | 2020 |
| Interpretable semisupervised classification method under multiple smoothness assumptions with application to lithology identification Z Li, Y Kang, W Lv, WX Zheng, XM Wang IEEE Geoscience and Remote Sensing Letters 18 (3), 386-390, 2020 | 23 | 2020 |
| Active domain adaptation with application to intelligent logging lithology identification J Chang, Y Kang, WX Zheng, Y Cao, Z Li, W Lv, XM Wang IEEE Transactions on Cybernetics 52 (8), 8073-8087, 2021 | 21 | 2021 |
| Cross-domain lithology identification using active learning and source reweighting J Chang, Y Kang, Z Li, WX Zheng, W Lv, DY Feng IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 18 | 2020 |
| Laplacian support vector machine for vibration-based robotic terrain classification W Shi, Z Li, W Lv, Y Wu, J Chang, X Li Electronics 9 (3), 513, 2020 | 18 | 2020 |
| Terrain adaptive estimation of instantaneous centres of rotation for tracked robots C Wang, W Lv, X Li, M Mei Complexity 2018 (1), 4816712, 2018 | 18 | 2018 |
| High-emitting vehicle identification by on-road emission remote sensing with scarce positive labels Y Kang, Z Li, W Lv, Z Xu, WX Zheng, J Chang Atmospheric Environment 244, 117877, 2021 | 16 | 2021 |
| High-emitter identification model establishment using weighted extreme learning machine and active sampling Z Li, Y Kang, W Lv, Y Wu, C Chen, Z Xu Neurocomputing 441, 79-91, 2021 | 14 | 2021 |
| Robust unilateral alignment for subsurface lithofacies classification Y Wu, Y Yang, W Lv, J Chang, Z Li, D Feng, T Xu, J Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 14 | 2021 |
| Pe-yolo: Pyramid enhancement network for dark object detection X Yin, Z Yu, Z Fei, W Lv, X Gao International Conference on Artificial Neural Networks, 163-174, 2023 | 13 | 2023 |
| SegLog: Geophysical logging segmentation network for lithofacies identification J Chang, J Li, Y Kang, W Lv, D Feng, T Xu IEEE Transactions on Industrial Informatics 18 (9), 6089-6099, 2021 | 12 | 2021 |
| Analysis and prediction of vehicle exhaust emission using ann Z Xu, Y Kang, W Lv 2017 36th chinese control conference (ccc), 4029-4033, 2017 | 12 | 2017 |
| Feature-depth smoothness based semi-supervised weighted extreme learning machine for lithology identification Z Li, Y Wu, Y Kang, W Lv, D Feng, C Yuan Journal of Natural Gas Science and Engineering 96, 104306, 2021 | 11 | 2021 |
| FVC: A novel nonmagnetic compass W Lv, Y Kang, YB Zhao IEEE Transactions on Industrial Electronics 66 (10), 7810-7820, 2018 | 9 | 2018 |
Wei Xing ZhengDistinguished Professor, Western Sydney University, Australia在 westernsydney.edu.au 的电子邮件经过验证
