Yu Zhang
	Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong, China Office:  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 Systems and 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 Principles and 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 Artificial Intelligence (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 26th Conference 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 Artificial Intelligence (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 Conference on 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 Computer Society 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 Artifical Intelligence 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 of the 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 Conference on 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 and Principles 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 of European 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 Learning and 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 IEEE Computer 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: Proceeding of 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 Path to 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  Other Links:         LilyBBS, Gigapedia