James Z. Wang

Research Interests
Visual Database Search and Retrieval, Biomedical Informatics, Computer Vision, Art, Multimedia
 
Biography
James Z. Wang is the vice director of the Intelligent Information Systems Laboratory. He received a Summa Cum Laude Bachelor's degree in mathematics and computer science from University of Minnesota, an M.S. in mathematics and an M.S. in computer science, both from Stanford University, and a Ph.D. degree in medical information sciences from Stanford University's Biomedical Informatics and Database groups. He is a recipient of an NSF Career award and the Endowed PNC Technologies Career Development Professorship. He has been an invited referee for 60 scientific journals. In 2007-2008, he is a Visiting Professor at the Robotics Institute of Carnegie Mellon University.
Research interests of his group include automatic image tagging, learning-based linguistic indexing of images, image annotation, semantics-sensitive image retrieval, image security, biomedical informatics, computational aesthetics, story picturing, art image retrieval, and computer vision. The group has published two monographs and more than 20 journal articles. The SIMPLIcity and ALIPR systems he co-developed with Jia Li have been used in the real world by millions of users and reported in leading science media including Discovery News, Scientific American, and MIT Technology Review. Their publications have been widely cited by researchers in the field.
 
Selected Publications

1. Li J., J. Z. Wang. 2006. Real-time Computerized Annotation of Pictures. Proceedings of the ACM Multimedia Conference. pp. 911-920. Santa Barbara, CA.


2. Li, J., J. Z. Wang. 2004. Studying Digital Imagery of Ancient Paintings by Mixtures of Stochastic Models. IEEE Transactions on Image Processing 13(3):340-353.


3. Chen, Y., J. Z. Wang. 2004. Image Categorization by Learning and Reasoning with Regions. Journal of Machine Learning Research 5(1):913-939.


4. Li, J., J. Z. Wang. 2003. Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach.IEEE Transactions on Pattern Analysis and Machine Intelligence 25(9):1075-1088.


5. Wang, J. Z., J. Li, G. Wiederhold. September 2001. SIMPLIcity: Semantics-sensitive Integrated Matching for Picture Libraries. IEEE Transactions on Pattern Analysis and Machine Intelligence23(9):947-963.