Publications

Biomedical Data Analysis and Mining

1. Qiangfeng Peter Lau, Wynne Hsu, Mong Li Lee, Ying Mao, Liang Chen. Prediction of Cerebral Aneurysm Rupture, in 19th IEEE International Conference on Tools with Artificial Intelligence, Patras, Greece, October 2007.

2. Jin Chen, Wynne Hsu, Mong Li Lee, See-Kiong Ng. Labeling Network Motifs in Protein Interactomes for Protein Function Prediction, in IEEE 23rd International Conference on Data Engineering, Istanbul, Turkey, April 2007.

3. Jin Chen, Wynne Hsu, Mong Li Lee, See-Kiong Ng. Increasing Confidence of Protein Interactomes using Network Topological Metrics, in Bioinformatics, Vol 22, No. 16, 2006.

4. Yun Zheng, Wynne Hsu, Mong Li Lee, Limsoon Wong. Exploring Essential Attributes For Detecting MicroRNA Precursors From Background Sequences, in VLDB Workshop on Data Mining in Bioinformatics, Seoul, Korea, September 2006.

5. Jin Chen, Wynne Hsu, Mong Li Lee, See-Kiong Ng. Dissecting Genome Wide Protein-Protein Interactions with Repeated and Unique Network Motifs, in 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), Philadelphia, USA, August 2006.

6. Liang Huai Yang, Wynne Hsu, Mong Li Lee, Limsoon Wong. Identification of MicroRNA Precursors via SVM, in 4th Asia Pacific Bioinformatics Conference (APBC), Taiwan, pages 267-276, February 2006.

7. Chen Jin, Wynne Hsu, Mong Li Lee, See-Kiong Ng. Discovering Reliable Protein Interactions from High-Throughput Experimental Data using Network Topology, in Artificial Intelligence in Medicine (AIIM Special Issue on Computational Intelligience Techniques in Bioinformatics) , Vol 35, Issues 1-2, pages 37-47, 2005.

8. Zhipeng Xie, Qing Zhang, Wynne Hsu, Mong Li Lee. Enhancing SNNB with Local Accuracy Estimation and Ensemble Techniques, in 10th International Conference on Database Systems for Advanced Applications (DASFAA), Beijing, China, April 2005.

9. Chen Jin, Wynne Hsu, Mong Li Lee, See-Kiong Ng. Systematic Assessment of High-Throughput Experimental Data for Reliable Protein Interactions using Network Topology, in 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Boca Raton, Florida, November 2004.

10. Zhipeng Xie, Wynne Hsu, Mong Li Lee. Mode Committee: A Novel Ensemble Method by Clustering and Local Learning, in 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Boca Raton, Florida, November 2004.

11. Yuna Hou, Wynne Hsu, Mong Li Lee, Chris Bystroff. Remote Homolog Detection Using Local Sequence-Structure Correlations, in PROTEINS Structure, Function, and Bioinformatics, Vol 57, No 3, John Wiley, November 2004.

12. Yuna Hou, Wynne Hsu, Mong Li Lee, Chris Bystroff. Efficient Remote Homology Detection Using Local Structure, in Bioinformatics, Vol 19, No. 17, pp 2294-2301, 2003.

13. Jin Chen, Wynne Hsu, Mong Li Lee. Order-Sensitive Clustering for Remote Homologous Protein Detection, in 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Sacramento, California, November 2003.

14. Zhipeng Xie, Wynne Hsu, Mong Li Lee. Generalization of Classification Rules, in 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Sacramento, California, November 2003.

15. Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong Li Lee. Concept Lattices based Composite Classifiers for High Predictability, to appear in Journal of Experimental and Theoretical Artificial Intelligence (JETAI): Special Issue on Concept Lattice for KDD, Taylor and Francis, 2002.

16. Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong-Li Lee. SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning, in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Taipei, Taiwan, 2002.

17. Wynne Hsu, Mong Li Lee, Bing Liu, Tok Wang Ling. Exploration Mining in Diabetic Patient Databases: Findings and Conclusions , in Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, MA, 2000.