Education

• 2009-present: Carnegie Mellon University. Ph.D. student in Machine Learning Department.
• 2006-2009:     Tsinghua University. Master of Engineering in Automation. July, 2009 
• 2002-2006:     Tsinghua University. Bachelor of Engineering in Automation, July 2006.                   

Research Interests

Machine Learning: Large Margin methods, Graphical Models, Variational Inference

Computer Vision: Object Recognition, Scene Understanding

Publications

2009

1. Bin Zhao, James Kwok, Changshui Zhang. Maximum Margin Clustering with Multivariate Loss Function. Proceedings of the 9th IEEE International Conference on Data Mining (ICDM 09), Maimi, FL, USA. To Appear. 2009.
   Acceptance rate: 70/786 = 8.91%
2. Bin Zhao, Changshui Zhang. Compressed Spectral Clustering. ICDM workshop on Large-scale Data Mining: Theory and Applications (LDMTA 09), Miami, FL, USA. To Appear, 2009.
3. Bin Zhao, James Kwok, Fei Wang, Changshui Zhang. Unsupervised maximum margin feature selection with manifold regularization. The International Conference on Computer Vision and Pattern Recognition (CVPR 09), Miami, FL, USA, June 2009. [pdf]Acceptance rate: 383/1464 = 26.16%
4. Bin Zhao, James Kwok, Changshui Zhang. Multiple Kernel Clustering. The 9th SIAM International Conference on Data Mining (SDM 09). Sparks, Nevada. April 2009. [pdf]
5. Bin Zhao, Fei Wang, Changshui Zhang. Block Quantized Support Vector Ordinal Regression. IEEE Transactions on Neural Networks (TNN). To Appear. 2009.

2008

1. Bin Zhao, Fei Wang, Changshui Zhang. Maximum Margin Embedding. Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 08), Pisa, Italy. To Appear. 2008. [pdf]
   Acceptance rate: 144/724 = 19.89%
2. Bin Zhao, Fei Wang, Changshui Zhang. CutS3VM: A Fast Semi-Supervised SVM Algorithm. The 14th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 08). Las Vegas, Nevada. 2008. pp. 830-838. [pdf]
   Acceptance rate: 50/500 = 10%
3. Bin Zhao, Fei Wang, Changshui Zhang. Efficient Multiclass Maximum Margin Clustering. The 25th International Conference on Machine Learning (ICML 08). Helsinki, Finland. 2008. pp. 1248-1255. [pdf]
   Acceptance rate: 155/583 = 26.59%
4. Bin Zhao, Fei Wang, Changshui Zhang. Efficient Maximum Margin Clustering Via Cutting Plane Algorithm. The 8th SIAM International Conference on Data Mining (SDM 08). Hyatt Regency Hotel, Atlanta, Georgia. 2008. pp. 751-762. (ORAL) [pdf][slides]
   Acceptance rate: 40/282 = 14.18%
5. Bin Zhao, Fei Wang, Changshui Zhang, Yangqiu Song. Active Model Selection for Graph Based Semi-Supervised Learning. The 33rd International Conference on Acoustics, Speech, and Signal Processing (ICASSP 08), Las Vegas, Nevada. 2008. pp. 1881-1884.(ORAL) [pdf]

2007

1. Bin Zhao, Fei Wang, Changshui Zhang. Smoothness Maximization via Gradient Descents. The 32nd International Conference on Acoustics, Speech, and Signal Processing (ICASSP 07), Honolulu, Hawaii, 2007. pp. II-609-II-612. [pdf][poster]

Code

We provide the Matlab code for Cutting Plane Maximum Margin Clustering (CPMMC).

Honors and Awards

Tsinghua Intel Scholarship for Excellent Student, 2008

KDD 2008 Student Travel Grant

ICML 2008 Student Travel Grant

SDM 2008 Student Travel Grant

Tsinghua Mitsubishi Heavy Industries Scholarship for Excellent Student, 2007

Tsinghua Fellowship for Excellent Academic Performance, 2003~2007

Tsinghua Fellowship for Excellent Freshmen, 2002

No.3 in National College Entrance Examination in Shanxi Province (among more than 100,000 competitors), 2002

Presentations

Helsinki, ICML 2008

Atlanta, SDM 2008

References

Available upon request.