Education

• Regent's Fellowship, UC Berkeley, 1999
• "Anthony Lu Best Paper Award", Rutgers University, 1999
• Special Award for new researchers, National Institute of Metrology, Beijing, China. 1994
• Excellent Thesis Award, Tsinghua University, Beijing, China. 1993
• People's Scholarship, Tsinghua University, 1988-1993

Present:

Graduate Fellow, Computer Science Division, UC Berkeley, 1999-
                                     Advisors: Professors Richard Karp, Stuart Russell and Michael Jordan

Research interest:

• Machine Learning

Modeling complex stochastic dynamic system using Dynamic Bayesian Network;
Learning with labled and unlabled data;
Reinforcement learning.
 
• Information retrieval

Bayesian text analysis; collaborative filtering; link analysis.
 
• Computational Biology

Clustering, classification and feature selection on microarray data. Reconstruction of genetic regulatory network using graphical models.

• Language: C, C++, Java, matlab, Perl, FORTRAN, Prolog, SML, UNIX shell script (sed, awk), Assembly.
• Operating System and Platforms: UNIX, Linux, Windows, DOS; Sun-Stations, DEC, SGI, CRAY, N-cube.

A) Journals:

1. Xing E.P., Spengler S., Zorn M., Muchnik I., Classification of multi-aligned sequence using monotone linkage clustering and alignment segmentation. Manuscript in preparation.

 
2. Xing E.P., Wolf D., Dubchak I., Spengler S., Zorn M., Kulikowski C., Muchnik I., Automatic discovery of sub-molecular sequence domains in multi-aligned sequences: a dynamic programming algorithm for multiple alignment segmentation, Journal of Theoretical Biology, 2001 Sep 21;212(2):129-39.

 
3. Xing E.P., Karp R.M., CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts. Bioinformatics. 2001 Jun;17 Suppl 1:S306-15.

 
4. Cai Y., Yang G-Y., Yan N., Wang L-D., Zhao X., Song Y-L., Seril D., Liao J., Xing E.P. and Yang C.S., Molecular alteration of p73 in human esophageal squamous cell carcinomas: loss of heterozygosity occurs frequently; loss of imprinting and elevation of p73 expression may be related to defective p53.  Carcinogenesis, 2000; 21(4):683-9.

 
5. Xing E.P., Wu W., Wang L., Zhao X. and Yang C.S., Comparative Analysis of p53 Mutational Spectrum of Esophageal Squamous Cell Carcinoma from Linxian, China with Spectra of Other ESCC and Other Cancers, Carcinogenesis, 2001, in press.

 
6. Xing E.P., Nie Y., Song Y-L., Yang G-Y., Cai C. C., Wang L-D., Chung C. S., Mechanisms of inactivation of p14^ARF, p15^INK4b and p16^INK4a genes in human esophageal squamous cell carcinoma: p14^ARF is potentially another inactivation hotspot within the 9p21 gene cluster,  Clinical Cancer Research, 1999 Oct; 5(10): 2704-13.

 
7. Xing E. P., Yang G-Y., Wang L-D., Yang C. S., Loss of Heterozygous of the Rb gene correlates with pRb protein expression and associates with p53 alteration in human esophageal cancer. Clinical Cancer Research, 1999 May; 5(5): 1231-40.

 
8. Shi S.T., Yang G-Y., Xue Z., Feng B., Ding W., Wang L-D., Xing E. P. and Yang C. S., Role of p53 gene mutation in human esophageal carcinogenesis: result from immunohistochemistry and mutation analysis of carcinomas and nearby non-cancerous lesions, Carcinogenesis, 1999 Apr; 20(4): 591-7.

 
9. Xing E. P., Nie Y., Wang L-D., Yang G-Y., Yang C.S., Aberrant methylation of p16^INK4a and deletion of p15^INK4b are frequent events in human esophageal cancer, Carcinogenesis, 1999 Jan; 20(1): 77-84.

 

 

1. Xing E.P.,  Jordan M., and Karp R., Dimensionality reduction using a mixture of feature evaluation

systems in classification of high-dimensional molecular biology data. Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001).
 
2. Xing E.P., and Karp R., CINCAFF: Clustering via Iterative Normalized Cut and Feature Filtering of high-dimensional microarray data, Proceedings of The Nineth International Conference on Intelligence Systems for Molecular Biology (ISMB 2001).

 
3. Xing, E.P., Kulikowski, C., Muchnik, I., Dukchak, I., Wolf, D., Spengler, S. and Zorn, M. Analysis of ribosomal RNA sequences by combinatorial clustering. Proceedings, The Seventh International Conference on Intelligence Systems for Molecular Biology (ISMB99), (Eds. T. Lengauer et al.) AAAI/MIT Press, Menlo Park, CA. P. 287-296..

 
4. Xing E.P., Yang G-Y, Wang L-D., Yang C.S., The molecular alterations of tumor suppressor genes p16^INK4a and p15^INK4b in human esophageal cancer, Proceedings of The American Association For Cancer Research, Vol 39:442, 1998.

 
5. Xing E.P., Shi S.T., Wang L-D., Yang C.S., Loss of heterozygosity in Rb gene and its relationship with p53 alteration in esophageal cancer, Proceedings of The American Association For Cancer Research, Vol 38:510-511, 1997.

 
6. Xue P., Xing P., Huang Y., Zhao J., The Research of Continuous Tunable High-Pressure Electron-Beam-Controlled CO₂ Laser, Proceedings of the 1993 Shanghai World Optical Conference, 1993.

C) Invited Talks:

1. Feature selection for high-dimensional genomic microarray data in concept learning and clustering analysis. AMS-IMS-SIAM Summer Research Conference:  Statistics in Functional Genomics, June 10 - Thursday, June 14, 2001, South Hadley, MA, USA.