TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning W Yang, Y Gao, L Cao Computer Vision and Image Understanding 117 (10), 1273-1286, 2013 | 68 | 2013 |
MRM-lasso: A sparse multiview feature selection method via low-rank analysis W Yang, Y Gao, Y Shi, L Cao IEEE transactions on neural networks and learning systems 26 (11), 2801-2815, 2015 | 63 | 2015 |
An improved hybrid collaborative filtering algorithm based on tags and time factor C Zhang, M Yang, J Lv, W Yang Big Data Mining and Analytics 1 (2), 128-136, 2018 | 50 | 2018 |
Heterogeneous face recognition by margin-based cross-modality metric learning J Huo, Y Gao, Y Shi, W Yang, H Yin IEEE transactions on cybernetics 48 (6), 1814-1826, 2017 | 44 | 2017 |
Incomplete-data oriented multiview dimension reduction via sparse low-rank representation W Yang, Y Shi, Y Gao, L Wang, M Yang IEEE transactions on neural networks and learning systems 29 (12), 6276-6291, 2018 | 41 | 2018 |
Multi-instance dictionary learning for detecting abnormal events in surveillance videos J Huo, Y Gao, W Yang, H Yin International journal of neural systems 24 (03), 1430010, 2014 | 36 | 2014 |
Abnormal event detection via multi-instance dictionary learning J Huo, Y Gao, W Yang, H Yin Intelligent Data Engineering and Automated Learning-IDEAL 2012: 13th …, 2012 | 30 | 2012 |
Does manual delineation only provide the side information in ct prostate segmentation? Y Shi, W Yang, Y Gao, D Shen Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 20 | 2017 |
Ensemble of sparse cross-modal metrics for heterogeneous face recognition J Huo, Y Gao, Y Shi, W Yang, H Yin Proceedings of the 24th ACM international conference on Multimedia, 1405-1414, 2016 | 13 | 2016 |
mPadal: a joint local-and-global multi-view feature selection method for activity recognition W Yang, Y Gao, L Cao, M Yang, Y Shi Applied intelligence 41, 776-790, 2014 | 13 | 2014 |
An effective MR-guided CT network training for segmenting prostate in CT images W Yang, Y Shi, SH Park, M Yang, Y Gao, D Shen IEEE journal of biomedical and health informatics 24 (8), 2278-2291, 2019 | 11 | 2019 |
An end-to-end differential network learning method for semantic segmentation T Hu, M Yang, W Yang, A Li International Journal of Machine Learning and Cybernetics 10, 1909-1924, 2019 | 11 | 2019 |
Interactive medical image segmentation via point-based interaction and sequential patch learning J Sun, Y Shi, Y Gao, L Wang, L Zhou, W Yang, D Shen arXiv preprint arXiv:1804.10481, 2018 | 10 | 2018 |
Few-shot unsupervised domain adaptation with image-to-class sparse similarity encoding S Huang, W Yang, L Wang, L Zhou, M Yang Proceedings of the 29th ACM International Conference on Multimedia, 677-685, 2021 | 8 | 2021 |
Deep correlation structure preserved label space embedding for multi-label classification K Wang, M Yang, W Yang, YL Yin Asian Conference on Machine Learning, 1-16, 2018 | 8 | 2018 |
Multi-view subspace clustering via a global low-rank affinity matrix L Qi, Y Shi, H Wang, W Yang, Y Gao Intelligent Data Engineering and Automated Learning–IDEAL 2016: 17th …, 2016 | 6 | 2016 |
Interactive image segmentation via cascaded metric learning W Li, Y Shi, W Yang, H Wang, Y Gao 2015 IEEE International Conference on Image Processing (ICIP), 2900-2904, 2015 | 6 | 2015 |
Few-shot unsupervised domain adaptation via meta learning W Yang, C Yang, S Huang, L Wang, M Yang 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 5 | 2022 |
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective Y Shi, W Yang, KH Thung, H Wang, Y Gao, Y Pan, L Zhang, D Shen IEEE Journal of Biomedical and Health Informatics 25 (9), 3258-3269, 2020 | 5 | 2020 |
Cross-modal attention-guided convolutional network for multi-modal cardiac segmentation Z Zhou, X Guo, W Yang, Y Shi, L Zhou, L Wang, M Yang Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 5 | 2019 |