师资队伍

M. Yang,L. Jiao*, F. Liu, B. Hou, S. Yang, Y. Zhang and J. Wang, “Multi-Cue Contrastive Self-Supervised Learning For Change Detection in Remote Sensing,”IEEE Transactions on Geoscience and Remote Sensing,doi: 10.1109/TGRS.2023.3330494, 2023.[PDF]

M. Yang,L. Jiao*, F. Liu, B. Hou, S. Yang, Y. Zhang and J. Wang, “Coarse-to-Fine Contrastive Self-Supervised Feature Learning for Land-Cover Classification in SAR Images With Limited Labeled Data,”IEEE Transactions on Image Processing,vol. 31, pp. 6502-6516, 2022.[PDF]

M. Yang,L. Jiao*, F. Liu, B. Hou, S. Yang and M. Jian, “DPFL-Nets: Deep pyramid feature learning networks for multiscale change detection,”IEEE Transactions on Neural Networks and Learning Systems,vol. 33, no. 11, pp. 6402-6416, 2022.[PDF]

M. Yang,L. Jiao*, B. Hou, F. Liu and S. Yang, “Selective adversarial adaptation-based cross-scene change detection framework in remote sensing images,”IEEE Transactions on Geoscience and Remote Sensing,vol. 59, no. 3, pp. 2188-2203, 2021.[PDF]

M. Yang,L. Jiao*, F. Liu, B. Hou and S. Yang, “Transferred deep learning-based change detection in remote sensing images,”IEEE Transactions on Geoscience and Remote Sensing,vol. 57, no. 9, pp. 6960-6973, 2019.[PDF]

M. Yang,X. Li, B. Turkbey, P. L. Choyke and P. Yan*, “Prostate Segmentation in MR Images Using Discriminant Boundary Features,”IEEE Transactions on Biomedical Engineering,vol. 60, no. 2, pp. 479-488, 2013.[PDF]

M. Yang,Y. Yuan, X. Li and P. Yan, “Medical image segmentation using descriptive image features,”in Proceedings of British Machine Vision Conference (BMVC),2011.

M. Yang,Y. Yuan, X. Li and P. Yan, “Designing and selecting features for MR image segmentation,”in Proceedings of Asian Conference on Pattern Recognition (ACPR),2011.