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 Recent Advances in Bayesian Methods as author at The 5th Asian Conference on Machine Learning (ACML), Canberra 2013, 5195 views |
lecture Webpage Understanding: an Integrated Approach as author at Research Tracks, 6558 views |
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lecture Partially Observed Maximum Entropy Discrimination Markov Networks as author at Carnegie Mellon Machine Learning Lunch seminar, 5611 views |
lecture Laplace Maximum Margin Markov Networks as author at 25th International Conference on Machine Learning (ICML), Helsinki 2008, 5420 views |
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lecture Grafting-Light: Fast, Incremental Feature Selection and Structure Learning of Markov Random Fields as author at Research Sessions, 3848 views |
lecture MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification as author at Sessions, 4130 views |
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lecture Primal Sparse Max-Margin Markov Networks as author at Research Track, 3960 views |
lecture On Primal and Dual Sparsity of Markov Networks as author at Sessions, 2996 views |
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