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Preview	Issue Date	Title	Author(s)
	2014	Fast supervised hashing with decision trees for high-dimensional data	Lin, G.; Shen, C.; Shi, Q.; Van Den Hengel, A.; Suter, D.; IEEE Conference on Computer Vision and Pattern Recognition (2014 : Columbus, Ohio)
	2015	Deeply learning the messages in message passing inference	Lin, G.; Shen, C.; Reid, I.; Van Den Hengel, A.; Cortes, C.; Lawrence, N.; Lee, D.; Sugiyama, M.; Garnett, R.; 29th Annual Conference on Neural Information Processing Systems 2015 (NIPS 2015) (7 Dec 2015 - 12 Dec 2015 : Montreal)
	2013	Learning hash functions using column generation	Li, X.; Lin, G.; Shen, C.; Van Den Hengel, A.; Dick, A.; International Conference on Machine Learning (30th : 2013 : Atlanta, Georgia, U.S.A.)
	2016	Efficient piecewise training of deep structured models for semantic segmentation	Lin, G.; Shen, C.; Van Den Hengel, A.; Reid, I.; 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) (26 Jun 2016 - 1 Jul 2016 : Las Vegas, NV)
	2013	A general two-step approach to learning-based hashing	Lin, G.; Shen, C.; Suter, D.; Van Den Hengel, A.; IEEE International Conference on Computer Vision (14th : 2013 : Sydney, Australia)
	2012	Fast training of effective multi-class boosting using coordinate descent optimization	Lin, G.; Shen, C.; Van Den Hengel, A.; Suter, D.; Asian Conference on Computer Vision (11th : 2012 : Daejeon, Korea)
	2013	Approximate constraint generation for efficient structured boosting	Lin, G.; Shen, C.; Van Den Hengel, A.; International Conference on Image Processing (20th : 2013 : Melbourne, Australia)