Yu Zhang
Department of Computer Science and Engineering
Hong Kong University of Science and Technology
Hong Kong, ChinaOffice: Room 4215, Academic Building (near Lift 19 or 20)
Email: zhangyu at cse dot ust dot hk
Brief Biography
2011.9-present Postdoctoral Research Associate, Department of Computer Science and Engineering, HKUST, working with Prof. Dit-Yan Yeung.
2007.9-2011.8 PhD, Department of Computer Science and Engineering, HKUST, with supervisor Prof. Dit-Yan Yeung.
2011.2-2011.6 Visiting Scholar, Machine Learning Department, CMU, working with Prof. Eric Xing.
2004.9-2007.6 Master, Department of Computer Science and Technology, Nanjing University, with supervior Prof. Zhi-Hua Zhou.
2000.9-2004.6 Bachelor, Department of Computer Science and Technology, Nanjing University.
Research Interest
My current research interests include Artificial Intelligence, Machine Learning, Pattern Recognition and Data Mining.I am especially interested in multi-task learning, transfer learning, semi-supervised learning, dimensionality reduction and metric learning.
Selected Publications
Journal Papers
Yu Zhang and Dit-Yan Yeung. Transfer Metric Learning with Semi-Supervised Extension. To appear in ACM Transactions on Intelligent Systemsand Technology. (Link) Yu Zhang and Dit-Yan Yeung. Semisupervised Generalized Discriminant Analysis. IEEE Transactions on Neural Network, 22(8): 1207-1217,2011. (Link)Conference Papers
Yu Zhang and Dit-Yan Yeung. Discriminative Experimental Design. In: Proceedings of European Conference on Machine Learning and Principlesand Practice of Knowledge Discovery in Databases (ECML PKDD). pp. 585-596, Athens, Greece, 2011. (Link) Yu Zhang and Dit-Yan Yeung. Multi-Task Learning in Heterogeneous Feature Spaces. In: Proceedings of the 25th AAAI Conference on ArtificialIntelligence (AAAI). pp. 574-579, San Francisco, California, USA, 2011. Yu Zhang, Dit-Yan Yeung, and Qian Xu. Probabilistic Multi-Task Feature Selection. Advances in Neural Information Processing System 23 (NIPS),pp. 2559-2567. Vancouver, Canada, 2010. Yu Zhang and Dit-Yan Yeung. Worst-Case Linear Discriminant Analysis. Advances in Neural Information Processing Systems 23 (NIPS),pp. 2568-2576. Vancouver, Canada, 2010. Yu Zhang and Dit-Yan Yeung. A Convex Formulation for Learning Task Relationships in Multi-Task Learning. In: Proceedings of the 26thConference on Uncertainty in Artificial Intelligence (UAI), pp. 733-742. Catalina Island, California, 2010. (Best Paper Award) (Matlab Code) Yu Zhang, Bin Cao, and Dit-Yan Yeung. Multi-Domain Collaborative Filtering. In: Proceedings of the 26th Conference on Uncertainty in ArtificialIntelligence (UAI), pp. 725-732. Catalina Island, California, 2010. Yu Zhang and Dit-Yan Yeung. Transfer Metric Learning by Learning Task Relationships. In: Proceedings of the 16th ACM SIGKDD Conferenceon Knowledge Discovery and Data Mining (KDD), pp. 1199-1208. Washington, DC, USA, 2010. (Link) Yu Zhang and Dit-Yan Yeung. Multi-Task Warped Gaussian Process for Personalized Age Estimation. In: Proceedings of the 23rd IEEE ComputerSociety Conference on Computer Vision and Pattern Recognition (CVPR). San Francisco, CA, 2010. (Link) Yu Zhang and Dit-Yan Yeung. Multi-Task Learning using Generalized t Process. In: Proceedings of the 13rd International Conference on ArtificalIntelligence and Statistics (AISTATS), JMLR: W&CP 9, pp. 964-971. Chia Laguna Resort, Sardinia, Italy, 2010. (Supplementary Material) Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, and Xinwen Hou. Transductive Learning On Adaptive Graphs. In: Proceedings ofthe 24th AAAI Conference on Artificial Intelligence (AAAI), pp. 661-666. Atlanta, Georgia, USA. 2010. Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, and Qiang Yang. Adaptive Transfer Learning. In: Proceedings of the 24th AAAI Conferenceon Artificial Intelligence (AAAI), pp. 407-412. Atlanta, Georgia, USA. 2010. Yu Zhang and Dit-Yan Yeung. Semi-Supervised Multi-Task Regression. In: Proceedings of European Conference on Machine Learning andPrinciples and Practice of Knowledge Discovery in Dtabases (ECML PKDD), pp. 617-631. Bled, Slovenia, 2009. (Link) Yu Zhang and Dit-Yan Yeung. Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-Supervised Extension. In: Proceedings ofEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp. 602-616.Bled, Slovenia, 2009. (Link) Yu Zhang and Dit-Yan Yeung. Semi-Supervised Discriminant Analysis via CCCP. In: Proceedings of European Conference on Machine Learningand Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp. 644-659. Antwerp, Belgium, 2008. (Link) Yu Zhang and Dit-Yan Yeung. Semi-Supervised Discriminant Analysis using Robust Path-based Similarity. In: Proceedings of the 21st IEEEComputer Society Conference on Computer Vision and Pattern Recognition (CVPR). Anchorage, Alaska, 2008. (Link) Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, and Honghua Dai. Learning from Facial Aging Patterns for Automatic Age Estimation. In: Proceedingof the 14th ACM International Conference on Multimedia (ACMMM), pp. 307-316. Santa Barbara, CA, 2006. (Link)Ph.D. Thesis
Yu Zhang. A Probabilistic Framework for Learning Task Relationships in Multi-Task Learning. Department of Computer Science and Engineering,The Hong Kong University of Science and Technology, August, 2011.Book Chapters
Dit-Yan Yeung and Yu Zhang. Learning Inverse Dynamics by Gaussian Process Regression under the Multi-Task Learning Framework. In The Pathto Autonomous Robots, G. S. Sukhatme(ed.), pp.131-142. Springer, 2009. (Link)
Honors and Awards
SENG PhD Research Excellence Award, HKUST, 2011
Best Paper Award, UAI, 2010
Research Travel Award, NIPS, 2010
Overseas Research Award, HKUST, 2010-2011
Research Travel Award, UAI, 2010
Research Travel Award, AISTATS, 2010
Champion, Postgraduate Student Research Paper Competition 2010, IEEE (Hong Kong) Computational Intelligence Chapter
Research Travel Award, HKUST, 2009
Second Runner-Up Award, Postgraduate Student Research Paper Competition 2009, IEEE (Hong Kong) Computational Intelligence Chapter
Postgraduate Scholarship, HKUST (2007, 2008, 2009, 2010, 2011)
Best Paper Award, Jiangsu Province Computer Society, 2005
Excellent Undergraduate Scholarship, Nanjing University (2001, 2002, 2003, 2004)
Professional Activities
Journal Reviewer
Journal of Machine Learning Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Neural Network
Pattern Recognition
Information Sciences
Neurocomputing
Applied Intelligence
ACTA AUTOMATICA SINICA
Frontiers of Computer Science in China
Journal of Software
PC Member
ICDM09 Workshop on Transfer Mining
Non-PC Reviewer
UAI11, KDD11, KDD10, CVPR09, ICML09, SIGMM08, CCML06
Teaching Assistant
COMP522: Machine Learning (Fall 2009, Fall 2010)
Links
Conference: CFP on Machine Learning
Research Related: DBLP Bibliography, Video Lectures, Matrix Reference Manual, MathWorld, Wikipedia, Alpha, Google Scholar
Links in HKUST: UST Student Intranet, CSE PG Student Intranet, Lift Selection Advisor