[1] Y. Song, W. Wang, and A. Zhang, "Analyzing Scenery Images by Monotonic Tree", ACM/Springer Multimedia Systems Journal, p. 495, vol. 8, (2003).

[2] Y. Song, W. Wang, and A. Zhang, "Automatic Annotation and Retrieval of Images", the World Wide Web (WWW) Journal, p. 209, vol. 6, (2003).

[3] Y. Shi, Y. Song and A. Zhang, "A Shrinking-Based Clustering Approach for Multi-Dimensional Data", IEEE Transactions on Knowledge and Data Engineering, accepted.

[4] Y. Wu and A. Zhang, "Interactive Pattern Analysis for Relevance Feedback", ACM/Springer Multimedia Systems Journal, p. 41, vol. 10, (2004).

[5] A. Zhang, Y. Song, and R. Aygun, "Feature-based Retrieval in Visual Database Systems", book chapter, Editor(s): D. Feng, W. C. Siu and H.J. Zhang Collection: Multimedia Information Retrieval and Management, Springer, pp. 226-245, 2003.

[6] Y. Wu and A. Zhang, "An Adaptive Classification Method for Multimedia Retrieval", proceedings of the 2003 IEEE International Conference on Multimedia and Expo (ICME), Baltimore, MD, July 6-9.

[7] W. Wang, Y. Song, and A. Zhang, "Identification of Objects from Image Regions," proceedings of 2003 IEEE International Conference on Multimedia and Expo (ICME), Baltimore, MD, July 6-9.

[8] Y. Wu and A. Zhang, "Adaptive Pattern Discovery for Interactive Multimedia Retrieval", proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Madison, Wisconsin, June 16-22.

[9] Y. Wu and A. Zhang, "Feature Selection for Classifying High-Dimensional Numerical Data", proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR04), Washington, DC, 27th June - 2nd July, 2004.

[10] Y. Shi, Y. Song and A. Zhang, "A Shrinking-Based Approach for Multi-Dimensional Data Analysis", proceedings of the 29th International Conference on Very Large Data Bases (VLDB03), Berlin, Germany, September 9-12, 2003.

[11] D. Ma and A. Zhang, "An Adaptive Density-Based Clustering Algorithm for Spatial Database with Noise", Proceedings of The Fourth IEEE International Conference on Data Mining (ICDM2004) Brighton, UK, November 01 - 04.