• Associate Professor of Statistics
• Ph.D, Electrical Engineering, Stanford University, 1999
• Personal web page

Summary of research interests

Dr. Li's research interests include statistical learning, data mining, image retrieval, image annotation, signal/image processing, bioinformatics, and information theory. Her pioneer work on developing the theory and computational implementations of the 2-D multiresolution hidden Markov models (2-D MHMM) has led to applications in large-scale automated image annotation/classification for art, satellite, and photographic images. Collaborating with biologists, she developed HMM-based techniques to assess the significance of inter-species matches when evolutionary rate varies. She has developed several image classification and image retrieval systems including two widely-recognized ones: SIMPLIcity and ALIP. The SIMPLIcity system has been sought after and obtained by researchers from more than 70 institutions.

Representative publications

J. Li. 2005. Clustering based on a multi-layer mixture model. Journal of Computational and Graphical Statistics. To appear.

J. Li and H. Zha. 2004. Two-way Poisson mixture models for simultaneous document classification and word clustering. Journal of Computational Statistics and Data Analysis. 18pp., in press.

J. Li and J. Z. Wang. 2004. Studying digital imagery of ancient paintings by mixtures of stochastic models. IEEE Transactions on Image Processing 12(3):340-353.

J. Li and 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.

J. Li and W. Miller. 2003. Significance of interspecies matches when evolutionary rate varies. Journal of Computational Biology 10(3-4):537-554.

J. Z. Wang, J. Li, and G. Wiederhold. 2001. SIMPLIcity: Semantics-sensitive integrated matching for picture libraries. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(9):947-963.

J. Li and R. M. Gray. 2000. Context-based multiscale classification of document images using wavelet coefficient distributions. IEEE Transactions on Image Processing 9(9):1604-16.

J. Li, R. M. Gray, and R. A. Olshen. 2000. Multiresolution image classification by hierarchical modeling with two dimensional hidden Markov models. IEEE Transactions on Information Theory 46(5):1826-41.

J. Li and R. M. Gray. 2000. Image Segmentation and Compression Using Hidden Markov Models (monograph), Kluwer Academic Publishers.

J. Li, N. Chaddha, and R. M. Gray. 1999. Asymptotic performance of vector quantizers with a perceptual distortion measure. IEEE Transactions on Information Theory 45(4):1082-91.

Last updated: April 22, 2005