Jun Zhu
homepage:http://www.ml-thu.net/~jun/
search externally:   Google Scholar,   Springer,   CiteSeer,   Microsoft Academic Search,   Scirus ,   DBlife

Description

Dr. Jun Zhu is an associate professor in the Department of Computer Science and Technology at Tsinghua University. His research interests lie in the development of statistical machine learning methods for solving scientific and engineering problems arising from artificial and biological learning, reasoning, and decision-making in the high-dimensional and dynamic worlds. Prof. Zhu received his Ph.D. in Computer Science from Tsinghua University. He did post-doctoral research in the Machine Learning Department at Carnegie Mellon University. His current work involves both the foundations of statistical learning, including theory and algorithms for probabilistic latent variable models, Bayesian nonparametrics, and large-margin learning; and the application of statistical learning in social network analysis, data mining, and multi-media data analysis. He is serving as an Area Chair at NIPS 2013 and a Local Chair at ICML 2014. He received Microsoft Research Fellow Award in 2007, China Computer Federation (CCF) Distinguished Dissertation Award in 2009, and the IEEE Intelligent Systems “AI’s 10 to Watch” Award in 2013.


Lectures:

tutorial
flag Recent Advances in Bayesian Methods
as author at  The 5th Asian Conference on Machine Learning (ACML), Canberra 2013,
429 views
  lecture
flag Grafting-Light: Fast, Incremental Feature Selection and Structure Learning of Markov Random Fields
as author at  Research Sessions,
323 views
lecture
flag Primal Sparse Max-Margin Markov Networks
as author at  Research Track,
161 views
  lecture
flag On Primal and Dual Sparsity of Markov Networks
as author at  Sessions,
114 views
lecture
flag MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification
as author at  Sessions,
285 views
  lecture
flag Partially Observed Maximum Entropy Discrimination Markov Networks
as author at  Carnegie Mellon Machine Learning Lunch seminar,
388 views
lecture
flag Laplace Maximum Margin Markov Networks
as author at  25th International Conference on Machine Learning (ICML), Helsinki 2008,
524 views
  lecture
flag Webpage Understanding: an Integrated Approach
as author at  Research Tracks,
350 views