Steven C.H. Hoi
Steven C.H. Hoi
Managing Director of Salesforce Research Asia; IEEE Fellow; Professor at SMU
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
Batch mode active learning and its application to medical image classification
SCH Hoi, R Jin, J Zhu, MR Lyu
Proceedings of the 23rd international conference on Machine learning, 417-424, 2006
AR-miner: mining informative reviews for developers from mobile app marketplace
N Chen, J Lin, SCH Hoi, X Xiao, B Zhang
Proceedings of the 36th international conference on software engineering …, 2014
Learning distance metrics with contextual constraints for image retrieval
SCH Hoi, W Liu, MR Lyu, WY Ma
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
Semisupervised SVM batch mode active learning with applications to image retrieval
SCH Hoi, R Jin, J Zhu, MR Lyu
ACM Transactions on Information Systems (TOIS) 27 (3), 1-29, 2009
Reliable patch trackers: Robust visual tracking by exploiting reliable patches
Y Li, J Zhu, SCH Hoi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Semi-supervised distance metric learning for collaborative image retrieval and clustering
SCH Hoi, W Liu, SF Chang
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2010
Large-scale text categorization by batch mode active learning
SCH Hoi, R Jin, MR Lyu
Proceedings of the 15th international conference on World Wide Web, 633-642, 2006
Face detection using deep learning: An improved faster RCNN approach
X Sun, P Wu, SCH Hoi
Neurocomputing 299, 42-50, 2018
Online feature selection and its applications
J Wang, P Zhao, SCH Hoi, R Jin
IEEE Transactions on Knowledge and Data Engineering 26 (3), 698-710, 2013
A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval
L Yang, R Jin, L Mummert, R Sukthankar, A Goode, B Zheng, SCH Hoi, ...
IEEE transactions on pattern analysis and machine intelligence 32 (1), 30-44, 2008
Libol: A library for online learning algorithms
SCH Hoi, J Wang, P Zhao
The Journal of Machine Learning Research 15 (1), 495-499, 2014
Semantics-preserving bag-of-words models and applications
L Wu, SCH Hoi, N Yu
IEEE Transactions on Image Processing 19 (7), 1908-1920, 2010
A unified log-based relevance feedback scheme for image retrieval
SCH Hoi, MR Lyu, R Jin
IEEE TRANSACTIONS on knowledge and Data Engineering 18 (4), 509-524, 2006
Exclusive lasso for multi-task feature selection
Y Zhou, R Jin, SCH Hoi
Proceedings of the Thirteenth International Conference on Artificial …, 2010
Online AUC maximization
P Zhao, SCH Hoi, R Jin, T YANG
International Machine Learning Society, 2011
Online portfolio selection: A survey
B Li, SCH Hoi
ACM Computing Surveys (CSUR) 46 (3), 1-36, 2014
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
Exact soft confidence-weighted learning
J Wang, P Zhao, SCH Hoi
International Conference on Machine Learning (ICML), 2012
Deep learning for image super-resolution: A survey
Z Wang, J Chen, SCH Hoi
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
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