I am an associate professor of Computer Science at Tsinghua University. My research focuses on developing statistical machine learning methods to understand complex scientific and engineering data. My current interests are in latent variable models, large-margin learning, Bayesian nonparametrics, and sparse learning in high dimensions.

• I am an Area Chair for NIPS 2013, a Local Chair for ICML 2014, and a Program Co-Chair for ELM 2013.

• I gave a talk on "Regularized Bayesian Inference" at the 15th Chinese-American Symposium on Kavli Frontiers of Science, Oct. 2012.

• I gave talks on "Bayesian Inference with Max-margin Posterior Regularization" in Columbia University, IBM Thomas J. Watson Research Center, and USC, Oct. 2012.

• Welcome to visit my new page! After spending three wonderful years at the Machine Learning Department in Carnegie Mellon University, I have moved to join the Department of Computer Science and Technology in Tsinghua University as an associate professor, since September, 2011.

• I co-hosted the dragon star machine learning lectures given by Dr. Kai Yu and Prof. Tong Zhang, from August 6th to August 10th, 2012.

• Minjie Xu, Jun Zhu, and Bo Zhang. Fast Max-Margin Matrix Factorization with Data Augmentation, To Appear in ICML, Atlanta, USA, 2013. (ICML 2013, Oral Presentation)

• Jun Zhu, Ning Chen, Hugh Perkins, and Bo Zhang. Gibbs Max-Margin Supervised Topic Models with Fast Sampling Algorithms, To Appear in ICML, Atlanta, USA, 2013. (ICML 2013, Oral Presentation)

• Ning Chen, Jun Zhu, Fei Xia, and Bo Zhang. Generalized Relational Topic Models with Data Augmentation, To Appear in IJCAI, Beijing, China, 2013. (IJCAI 2013, Oral Presentation)

• Jun Zhu, Xun Zheng, and Bo Zhang. Bayesian Logistic Supervised Topic Models with Data Augmentation, To Appear in ACL, Sofia, Bulgaria, 2013. (ACL 2013)

• Aonan Zhang, Jun Zhu, and Bo Zhang. Sparse Online Topic Models, To Appear in WWW, Rio de Janeiro, Brazil, 2013.

• Jun Zhu, Amr Ahmed, and Eric P. Xing. MedLDA: Maximum Margin Supervised Topic Models, Journal of Machine Learning Research, 13(Aug):2237--2278, 2012. (JMLR 2012).

• Jun Zhu. Max-Margin Nonparametric Latent Feature Models for Link Prediction, ICML, Edinburgh, Scotland, 2012.

• Ning Chen, Jun Zhu, Fuchun Sun, and Eric P. Xing. Large-margin Subspace Learning for Multi-view Data Analysis, IEEE Trans. on PAMI, 34(12): 2365-2378 (2012).