| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 1144 | 2017 |
| Deep learning for content-based image retrieval: A comprehensive study J Wan, D Wang, SCH Hoi, P Wu, J Zhu, Y Zhang, J Li Proceedings of the 22nd ACM international conference on Multimedia, 157-166, 2014 | 798 | 2014 |
| Deep learning for identifying metastatic breast cancer D Wang, A Khosla, R Gargeya, H Irshad, AH Beck Preprint at http://arxiv. org/abs/1606.05718, 2016 | 624 | 2016 |
| Face Search at Scale D Wang, C Otto, AK Jain IEEE transactions on pattern analysis and machine, 2016 | 197* | 2016 |
| Online multimodal deep similarity learning with application to image retrieval P Wu, SCH Hoi, H Xia, P Zhao, D Wang, C Miao Proceedings of the 21st ACM international conference on Multimedia, 153-162, 2013 | 177 | 2013 |
| Retrieval-based face annotation by weak label regularized local coordinate coding D Wang, SCH Hoi, Y He, J Zhu, T Mei, J Luo IEEE transactions on pattern analysis and machine intelligence 36 (3), 550-563, 2013 | 115 | 2013 |
| Clustering millions of faces by identity C Otto, D Wang, AK Jain IEEE transactions on pattern analysis and machine intelligence 40 (2), 289-303, 2017 | 107 | 2017 |
| Mining weakly labeled web facial images for search-based face annotation D Wang, SCH Hoi, Y He, J Zhu IEEE Transactions on Knowledge and Data Engineering 26 (1), 166-179, 2012 | 101 | 2012 |
| Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019 | 97 | 2019 |
| Deep learning assessment of tumor proliferation in breast cancer histological images M Shah, D Wang, C Rubadue, D Suster, A Beck 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 34 | 2017 |
| A unified learning framework for auto face annotation by mining web facial images D Wang, SCH Hoi, Y He Proceedings of the 21st ACM international conference on Information and …, 2012 | 30 | 2012 |
| Learning to name faces: A multimodal learning scheme for search-based face annotation D Wang, SCH Hoi, P Wu, J Zhu, Y He, C Miao Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 27 | 2013 |
| Online learning to rank for content-based image retrieval J Wan, P Wu, SCH Hoi, P Zhao, X Gao, D Wang, Y Zhang, J Li AAAI Press, 2015 | 26 | 2015 |
| High-dimensional data stream classification via sparse online learning D Wang, P Wu, P Zhao, Y Wu, C Miao, SCH Hoi 2014 IEEE international conference on data mining, 1007-1012, 2014 | 25 | 2014 |
| High-dimensional data stream classification via sparse online learning D Wang, P Wu, P Zhao, Y Wu, C Miao, SCH Hoi 2014 IEEE international conference on data mining, 1007-1012, 2014 | 25 | 2014 |
| Deep learning for identifying metastatic breast cancer. arXiv 2016 D Wang, A Khosla, R Gargeya, H Irshad, AH Beck arXiv preprint arXiv:1606.05718, 0 | 19 | |
| Identifying essential pairwise interactions in elastic network model using the alpha shape theory LL Fei Xia, Dudu Tong, Lifeng Yang, Dayong Wang, Steven C. H. Hoi, Patrice Koehl Journal of Computational Chemistry 35 (15), 1111–1121, 2014 | 15 | 2014 |
| Fans: face annotation by searching large-scale web facial images SCH Hoi, D Wang, IY Cheng, EW Lin, J Zhu, Y He, C Miao Proceedings of the 22nd International Conference on World Wide Web, 317-320, 2013 | 14 | 2013 |
| A Framework of Sparse Online Learning and Its Applications D Wang, P Wu, P Zhao, SCH Hoi arXiv preprint arXiv:1507.07146, 2015 | 12 | 2015 |
| Spectral geometry image: image based 3D models for digital broadcasting applications BS Chew, LP Chau, Y He, D Wang, SCH Hoi IEEE Transactions on Broadcasting 57 (3), 636-645, 2011 | 11 | 2011 |
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMUVerified email at smu.edu.sg
