Research

Interests

• Computational and statistical approaches to machine learning and artificial intelligence

• Novel application of machine learning to computer vision, education, and earth sciences

Publications

• Publication List

• Google Scholar

• DBLP

• AD Scientific Index

• Guide2Research

Top-5 Highly Cited Papers (all with my former PhD students during their PhD study)

• Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, and Wang-chun Woo. Convolutional LSTM network: A machine learning approach for precipitation nowcasting. Advances in Neural Information Processing Systems 28, C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama & R. Garnett (eds.), pp.802-810, 2015. (Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS), Montreal, Quebec, Canada, 7-12 December 2015.) [Google Scholar Metrics for NIPS]

• Hong Chang, Dit-Yan Yeung, and Yimin Xiong. Super-resolution through neighbor embedding. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol.1, pp.275-282, Washington, DC, USA, 27 June - 2 July 2004.

• Hao Wang, Naiyan Wang, and Dit-Yan Yeung. Collaborative deep learning for recommender systems. Proceedings of the Twenty-First ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp.1235-1244, Sydney, Australia, 10-13 August 2015.

• Naiyan Wang and Dit-Yan Yeung. Learning a deep compact image representation for visual tracking. Advances in Neural Information Processing Systems 26, C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani & K.Q. Weinberger (eds.), pp.809-817, 2013. (Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, 5-10 December 2013.)

• Tin-Yau Kwok and Dit-Yan Yeung. Constructive algorithms for structure learning in feedforward neural networks for regression problems. IEEE Transactions on Neural Networks, 8(3):630-645, May 1997.