Jun Zhu

Post-Doc Fellow

8116 Gates-Hillman Center (GHC)

Machine Learning Department

Carnegie Mellon University

Pittsburgh, PA 15213

E-mail: junzhu@cs [dot] cmu [dot] edu

I'm a post-doctoral fellow at the Machine Learning Department in CMU, working with Prof. Eric Xing. I'm staying at 8116 Gates-Hillman Center (GHC). My current research interests are focusing on statistical machine learning with applications to computer vision, text mining, and web mining. See my recent projects and publications for more details.

Research:

• Research Intrests
  • Statistical Machine Learning, Probabilistic Graphical Models
  • Applications in Text Minining, Computer Vision, Social Media Analysis, etc.
  
  
• Research Experience
  • Visiting Researcher at Machine Learning Department, CMU, 2007 & 2008. Worked with Prof. Eric Xing
  • Research Assistant at Microsoft Research Asia, 2004 ~ 2007, & 2008 Summer. Worked with Dr. Zaiqing Nie, Dr. Ji-Rong Wen, and Dr. Lei Zhang
  
  
• Current Projects
  • Joint max-entropy and max-margin learning: We present a novel framework called Maximum Entropy Discrimination Markov Networks (MaxEntNet) for learning structured prediction models. The MaxEntNet in its full generality offers a number of important advantages (more ...)
  • Learning discriminative latent representation: We propose the max-margin topic models (MedLDA) for latent topic discovery, and the partially observed MaxEnDNet (PoMEN) for max-margin learning with hidden variables (more ...)
  • Applications: I'm working on computer vision, text mining, and social media analysis problems (more ...)
  
  
• Recent Publications
  • Jun Zhu, and Eric P. Xing. Maximum Entropy Discrimination Markov Networks. To appear in Journal of Machine Learning Research, 2009.
  • Jun Zhu, and Eric P. Xing. On Primal and Dual Sparsity of Markov Networks. In Proc. of ICML, 2009.
  • Jun Zhu, Amr Ahmed, and Eric P. Xing. MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification. In Proc. of ICML, 2009.
  • Full List (...)
  
  
• Academic Activities
  • PC Member: ICML'10, AAAI'10, ACL'10.
  • Reviewer: ICML, SIGKDD, AAAI, SIGIR, ACL, WWW, Machine Learning Journal.
  • Student Volunteer: ICML'05, 08 & 09; SIGKDD'06, 07 & 09; NIPS'08.
  
  
• Teaching Assistant
  • CMU Course: 10-708, Probabilistic Graphical Models, Fall 2009.
  • Dragon Star Course: Advanced Machine Learning, Summer 2009, Beijing.
  
  

Personal Info:

• Education
  • PhD of computer science, Tsinghua University, 2005 ~ 2009.
  • B.S. of computer science, Tsinghua University, 2001 ~ 2005.
  
  
• Short Resume (CV)
• Blog (Chinese)
  
• Friends and Collaborators
  • Fan Guo, Ni Lao, Chong Wang, Le Zhao, Lei Li, Xiaolin Shi, Lei Wu, Amr Ahmed, Zaiqing Nie, Ji-Rong Wen, Lei Zhang