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All publications by Dit-yan Yeung
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Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi, Zhourong Chen, Hao Wang, Dit-yan Yeung, Wai-kin Wong and Wang-chun Woo
Advances in Neural Information Processing Systems 28, 2015


Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
Naiyan Wang and Dit-yan Yeung
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning a Deep Compact Image Representation for Visual Tracking
Naiyan Wang and Dit-yan Yeung
Advances in Neural Information Processing Systems 26, 2013


Co-Regularized Hashing for Multimodal Data
Yi Zhen and Dit-yan Yeung
Advances in Neural Information Processing Systems 25, 2012


Worst-Case Linear Discriminant Analysis
Yu Zhang and Dit-yan Yeung
Advances in Neural Information Processing Systems 23, 2010


Probabilistic Multi-Task Feature Selection
Yu Zhang, Dit-yan Yeung and Qian Xu
Advances in Neural Information Processing Systems 23, 2010


Multi-Task Learning using Generalized t Process
Yu Zhang and Dit-yan Yeung
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Probabilistic Relational PCA
Wu-jun Li, Dit-yan Yeung and Zhihua Zhang
Advances in Neural Information Processing Systems 22, 2009


Coherence Functions for Multicategory Margin-based Classification Methods
Zhihua Zhang, Michael I. Jordan, Wu-jun Li and Dit-yan Yeung
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Latent Wishart Processes for Relational Kernel Learning
Wu-jun Li, Zhihua Zhang and Dit-yan Yeung
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Zhihua Zhang, Michael I. Jordan and Dit-yan Yeung
Advances in Neural Information Processing Systems 21, 2008


A kernel path algorithm for support vector machines
Gang Wang, Dit-yan Yeung and Frederick H. Lochovsky
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Kernel selection forl semi-supervised kernel machines
Guang Dai and Dit-yan Yeung
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


The Kernel Path in Kernelized LASSO
Gang Wang, Dit-yan Yeung and Frederick H. Lochovsky
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Two-dimensional solution path for support vector regression
Gang Wang, Dit-yan Yeung and Frederick H. Lochovsky
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
Zhihua Zhang, Dit-yan Yeung and James T. Kwok
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Zhihua Zhang, James T. Kwok and Dit-yan Yeung
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Locally linear metric adaptation for semi-supervised clustering
Hong Chang and Dit-yan Yeung
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004