About Me

Currently I am a third-year Ph.D student in the Department of Electrical, Computer, & Systems Engineering, Rensselear Polytechnic Institute. I am now working with Prof. Qiang Ji in his Intelligent Systems Lab. I got my bachelor's degree from the Department of Automation of Tsinghua University in June 2010.

My research interests include Machine Learning, Probabilistic Graphical Models and the applications in various areas such as Computer Vision and Brain Computer Interface.

Publications

Conference papers

• Ziheng Wang, Shangfei Wang, Qiang Ji, Capturing Complex Spatio-Temporal Relations among Facial Muscles for Facial Expression Recognition. In Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, June 2013. PDF
• Ziheng Wang, Ryan M. Hope, Zuoguan Wang, Qiang Ji and Wayne D. Gray. An EEG Workload Classifier for Multiple Subjects. EMBC, 2011 Annual International Conference of the IEEE.  PDF PPT
• Ryan M. Hope, Ziheng Wang, Zuoguan Wang, Qiang Ji and Wayne D. Gray. Workload Classification Across Subjects Using EEG. Proceedings of the Human Factors and Ergonomics Society Annual meeting, 2011. PDF
• Ziheng Wang, Xudong Xie, An efficient face recognition algorithm based on robust principal component analysis, Proceedings, ACM ICIMCS 2010, Harbin, China, 2010.

Journal papers

• Y. Zhang, Y. Zhang, E. Swears, N. Larios, Z. Wang, Q. Ji, Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on (PAMI), 2013.
• Ziheng Wang, Ryan M. Hope, Qiang Ji and Wayne D. Gray, Cross-Subject Workload Classification with a Hierarchical Bayes Model. NeuroImage, 2012.  PDF

Research Activities

I am the invited reviewer for the following journals and conferences:

• Machine Vision and Applications
• 34th and 35th Annual International IEEE EMBS Conference

Resources & Links

Graphical Models

• Online course about graphical models from Prof. Daphne Koller

Code

• Bayes Net Toolbox for Matlab by Kevin Murphy
• My code for Gaussian Mixture Model that is optimized for huge dimensional data.