Dit-Yan Yeung

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Hong ChangResearcher at Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Xingjian ShiAmazonVerified email at connect.ust.hk
Yu ZhangAssociate Professor, Southern University of Science and TechnologyVerified email at sustech.edu.cn
James T. KwokProfessor of Computer Science and Engineering, Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
Naiyan WangTuSimpleVerified email at tusimple.com
Hao WangAssistant Professor of Computer Science, Rutgers UniversityVerified email at mit.edu
Zhihua ZhangProfessor of Computer Science, Shanghai Jiao Tong UniversityVerified email at zju.edu.cn
Zhourong ChenGoogle ResearchVerified email at google.com
Wu-Jun LiNanjing UniversityVerified email at nju.edu.cn
Yi ZhenLinkedInVerified email at linkedin.com
William K. CheungProfessor of Computer Science, Hong Kong Baptist UniversityVerified email at comp.hkbu.edu.hk
Irwin KingThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Wang Chun WOOHong Kong ObservatoryVerified email at hko.gov.hk
Kui Jia (贾奎)South China University of TechnologyVerified email at scut.edu.cn
Lin SUNHKUST, Stanford UniversityVerified email at cs.stanford.edu
Fred LochovskyProfessor Emeritus of Computer Science, HKUSTVerified email at cse.ust.hk
Nevin L. ZhangThe Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
Bertram E ShiProfessor of ECE, Hong Kong University of Science and TechnologyVerified email at ust.hk
Bin CaoMicrosoftVerified email at microsoft.com
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Dit-Yan Yeung

Chair Professor, Department of CSE, HKUST, Hong Kong

Verified email at cse.ust.hk - Homepage

Machine Learning Artificial Intelligence Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Convolutional LSTM network: A machine learning approach for precipitation nowcasting X Shi, Z Chen, H Wang, DY Yeung, WK Wong, W Woo Advances in Neural Information Processing Systems 28, 802-810, 2015	6767	2015
Super-resolution through neighbor embedding H Chang, DY Yeung, Y Xiong IEEE Computer Society Conference on Computer Vision and Pattern Recognition …, 2004	2648	2004
The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015	2007	2015
Collaborative deep learning for recommender systems H Wang, N Wang, DY Yeung Twenty-First ACM SIGKDD Conference on Knowledge Discovery and Data Mining …, 2015	1685	2015
Learning a deep compact image representation for visual tracking N Wang, DY Yeung Advances in Neural Information Processing Systems 26, 809-817, 2013	1226	2013
Constructive algorithms for structure learning in feedforward neural networks for regression problems TY Kwok, DY Yeung IEEE Transactions on Neural Networks 8 (3), 630-645, 1997	670	1997
Human action recognition using factorized spatio-temporal convolutional networks L Sun, K Jia, DY Yeung, BE Shi Proceedings of the IEEE international conference on computer vision, 4597-4605, 2015	639	2015
Robust path-based spectral clustering H Chang, DY Yeung Pattern Recognition 41 (1), 191-203, 2008	616	2008
SVC2004: First international signature verification competition DY Yeung, H Chang, Y Xiong, S George, R Kashi, T Matsumoto, G Rigoll Biometric Authentication: First International Conference, ICBA 2004, Hong …, 2004	590	2004
Host-based intrusion detection using dynamic and static behavioral models DY Yeung, Y Ding Pattern Recognition 36 (1), 229-243, 2003	579	2003
Deep learning for precipitation nowcasting: A benchmark and a new model X Shi, Z Gao, L Lausen, H Wang, DY Yeung, W Wong, W Woo Advances in Neural Information Processing Systems 30, 5620-5630, 2017	575	2017
GaAN: Gated attention networks for learning on large and spatiotemporal graphs J Zhang, X Shi, J Xie, H Ma, I King, DY Yeung arXiv preprint arXiv:1803.07294, 2018	528	2018
A convex formulation for learning task relationships in multi-task learning Y Zhang, DY Yeung Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI 2010), 2010	493	2010
Mathematical expression recognition: a survey KF Chan, DY Yeung International Journal on Document Analysis and Recognition 3, 3-15, 2000	454	2000
Dynamic key-value memory networks for knowledge tracing J Zhang, X Shi, I King, DY Yeung Proceedings of the 26th international conference on World Wide Web, 765-774, 2017	427	2017
Understanding and diagnosing visual tracking systems N Wang, J Shi, DY Yeung, J Jia Proceedings of the IEEE international conference on computer vision, 3101-3109, 2015	422	2015
Parzen-window network intrusion detectors DY Yeung, C Chow Sixteenth International Conference on Pattern Recognition (ICPR 2002) 4, 385-388, 2002	407	2002
Transferring rich feature hierarchies for robust visual tracking N Wang, S Li, A Gupta, DY Yeung arXiv preprint arXiv:1501.04587, 2015	368	2015
Devnet: A deep event network for multimedia event detection and evidence recounting C Gan, N Wang, Y Yang, DY Yeung, AG Hauptmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	356	2015
Objective functions for training new hidden units in constructive neural networks TY Kwok, DY Yeung IEEE Transactions on Neural Networks 8 (5), 1131-1148, 1997	284	1997

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