Zhuang Wang

 

Research Scientist @ Siemens Corporate Research & Technology

755 College Road East

Princeton, NJ 08540
Email: zhuang.wang@siemens.com

Education

Ph.D., Computer and Information Sciences, Temple University, Philadelphia, USA, 2006~2010 (advisor: Dr. Slobodan Vucetic).

B.A., Electronic Commerce, Wuhan University, Wuhan, China, 2002~2006.

 

Research Interests

Support Vector Machines, Online Learning, Large-scale Learning, Active Learning, Multiple Instance Learning, Neural Networks and their applications to data mining.

 

Selected Publications

1.        Scaling up Kernel SVM on Limited Resources: a Low-rank Linearization Approach [pdf]

Zhang, K., Lan, L., Wang, Z., and Moerchen, F.

Int. Conf. on Artificial Intelligence and Statistics (AISTATS), 2012.

 

2.        Mixture Model for Multiple Instance Regression and Applications in Remote Sensing [pdf] [data]

Wang, Z., Lan, L. and Vucetic, S.

IEEE Transactions on Geoscience and Remote Sensing (TGRS), in press.

 

3.        Trading Representability for Scalability: Adaptive Multi-Hyperplane Machine for Nonlinear Classification [pdf] [codes]

Wang, Z., Djuric, N., Crammer, K. and Vucetic, S.

 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), 2011, (Oral presentation AR: 56/714 = 7.8%)

 

4.        An Active Learning Algorithm Based on Parzen Window Classification [pdf]

 Lan, L., Shi, H., Wang, Z. and Vucetic, S., 

Journal of Machine Learning Research (JMLR): W&C Proc. 2010 AISTATS Active Learning Challenge, (our results ranked as the 5th in the competition)

 

5.        Multi-Class Pegasos on a Budget [pdf]

Wang, Z., Crammer, K and Vucetic, S.  

Int. Conf. on Machine Learning (ICML), 2010

 

6.        Online Training on a Budget of Support Vector Machines using Twin Prototypes [pdf] 

Wang, Z. and Vucetic, S.

Statistical Analysis and Data Mining Journal (SAM), 2010.

 

7.        Online Passive-Aggressive Algorithms on a Budget [pdf]   

Wang, Z. and Vucetic, S.

Int. Conf. on Artificial Intelligence and Statistics (AISTATS), 2010.

 

8.        Fast Online Training of Ramp Loss Support Vector Machines [pdf] 

Wang, Z. and Vucetic, S.,

IEEE Int. Conf. on Data Mining (ICDM), 2009, (Oral presentation AR: 70/786 = 8.9%)

 

9.        Compressed Kernel Perceptrons [pdf] 

Vucetic,S., Coric, V. and Wang, Z.,

IEEE Data Compression Conf. (DCC), 2009, (Oral presentation)

 

10.    Twin Vector Machines for Online Learning on a Budget [pdf]

Wang, Z. and Vucetic, S. 

SIAM Conf. on Data Mining (SDM), 2009, (Oral presentation AR: 55/351 = 15.67%)

 

11.    Aerosol Optical Depth Prediction from Satellite Observations by Multiple Instance Regression [pdf]

Wang, Z., Radosavljevic, V., Han, B., Obradovic, Z. and Vucetic, S.

SIAM Conf. on Data Mining (SDM), 2008, (Oral presentation AR: 40/282 = 14.18%)

         

 

 

Last Update: 01-05-2012