1.       Predictive Maintenance

Wang, Z.

Euro. Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2015, [tutorial homepage]

IEEE Conf. on Big Data (IEEE BigData), 2015 [tutorial homepage]


2.       Large-scale Non-linear Classification: Algorithms and Evaluations

Wang, Z.

AAAI Conf. on Artificial Intelligence (AAAI), 2014, [tutorial homepage]

Int. Joint Conf. on Artificial Intelligence (IJCAI), 2013. [tutorial homepage]



Selected Peer-reviewed Papers


1.       Log-based Predictive Maintenance [pdf] [talk video]

Sipos, R., Fradkin, D. and Moerchen, F. and Wang, Z.

ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), 2014.


Wang, Z., Fradkin, D. and Moerchen, F.

US Patent pending, 2012.


2.       BudgetedSVM: A Toolbox for Scalable SVM Approximations [pdf] [software]

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

Journal of Machine Learning Research (JMLR), 2013.

This toolbox is designed for approximately training non-linear SVM on large-scale, high-dimensional data when it CANNOT fit into memory. It can be treated as a missing link between LibLinear and LibSVM, combining efficiency of linear SVM with accuracy of kernel SVM models.


3.      Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training [pdf] [software]

Wang, Z., Crammer, K and Vucetic, S.

Journal of Machine Learning Research (JMLR), 2012.


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

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

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


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

Wang, Z., Lan, L. and Vucetic, S.

IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2012.


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

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

 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), 2011.


7.       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)


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

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

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


9.     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.


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

Wang, Z. and Vucetic, S.

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


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

Wang, Z. and Vucetic, S.,

IEEE Int. Conf. on Data Mining (ICDM), 2009.


12.     Compressed Kernel Perceptrons [pdf] 

Vucetic,S., Coric, V. and Wang, Z.

IEEE Data Compression Conf. (DCC), 2009.


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

Wang, Z. and Vucetic, S. 

SIAM Conf. on Data Mining (SDM), 2009.


14.     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.