Xiao-Lin  Li      LAMDA Group, Department of Computer Science and Technology,                                                     Nanjing University, China

Biography

Currently I am a postdoctoral fellow in the Department of Computer Science & Technology at Nanjing University, China.   I received My M.Sc. and Ph.D. degrees in computer science from Jilin University, China, in 2002 and 2005, respectively.    And I was admitted to study for a Ph.D. degree in Jilin University without enterance examination.   Since Dec. 2005,  I joined LAMDA Group,which is led by professor Zhi-Hua ZHOU.

Research Interests

My current research interests mainly include Machine Learning and Data Mining.  Now I am working on Bayesian network & Relational data mining.

Contace Me

Publication

• Xiao-lin LI, Shuang-Cheng WANG and Xiang-dong HE. Learning Bayesian networks structures based on menory binary particle swarm optimization. In: Proceedings of the 6th International Conference on Simulated Evolution And Learning (SEAL'06) , Hefei, China, LNAI 4247, 2006.

• Shuang-Cheng WANG, Xiao-lin LI (Contact author)and Hai-Yan TANG. Hybrid data clustering based on dependency structure and gibbs sampling. In: Proceedings of the 19th Australian Joint Conference on Artificial Intelligence (AJCAI'06) , Australia, LNAI 4304, 2006.

• Xiao-lin LI, Sen-miao YUAN and Xiang-dong HE. Learning Bayesian networks structures from incomplete sata: an efficient approach based on extended evolutionary programming. In: Proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'05) , Hanoi, Vietnam, LNAI 3518, 2005.

• Xiao-lin LI, Sen-miao YUAN and Xiang-dong HE. A New Method of Learning Bayesian networks structures from incomplete data. In: Proceedings of The 15th International Conference on Artificial Neural Networks (ICANN'05), Warsaw, Poland, 2005.

• Xiao-lin LI, Sen-miao YUAN and Xiang-dong HE. Learning Bayesian networks structures based on extending evolutionary programming. In: Proceedings of The 3th International Conference on Machine Learning and Cybernetics , Shanghai, China, 2004 .

• Xiao-lin LI, Sen-miao YUAN and Xiang-dong HE. Learning Bayesian networks structures from incomplete Data. In: Proceedings of The 4th International Conference on Machine Learning and Cybernetics, Guangzhou, China, 2005.

• Xiao-lin LI, Sen-miao YUAN and Xiang-dong HE. Learning Bayesian networks with hidden variables. In: Proceedings of International Symposium on Intelligent Computation and its Application, Wuhan, China, 2005.

• Xiao-lin LI, Zhi-hua ZHOU. An approach to learning PRM from incomplete relational data. Chinese Journal of Software. (Accept)

• Xiao-lin LI, Xiang-dong HE and Sen-miao YUAN. Research on orienting edges of Bayesian network based on information theory and genetic algorithms. Journal of Fudan University, 2004, 5. (in Chinese with English abstract)

• Xiao-lin LI, Xiang-dong HE and Wen-yin LI. Design and implementation of population statistics and forecasting system based on data warehousing and OLAP Techniques. Journal of Jilin University (Information Science Edition), 2003, 3. (in Chinese with English abstract)

• Li-Min WANG, Xiao-lin LI, Chun-Hong CAO and Sen-Miao YUAN. Combining decision tree and naive bayes for data mining. Knowlege-Based System, 2006, 19.

• Shuang-Cheng WANG, Xiao-lin LI and Hai-Yan TANG. Learning Bayesian networks structure with continuous variables. In: Proceedings of the 2th International Conference on Advanced Data Mining and Application (ADMA'06) , Xi'an, China, LNAI 4093, 2006.

• Wen-yin LI and Xiao-lin LI. A Method of Improving DS1631 Precision. Microcontrollers & Embedded Systems, 2003, 8. (in Chinese)

• Xiao-lin LI and Xiang-dong HE. Multi-thread printers' monitor system based on windows API. In: Proceedings of the International Forum on Educayional Technology, Changchun, 2004. (in Chinese with English abstract)

• Xiao-lin LI. Research and Application on Bayesian Networks in Intelligence Data Processing. Ph.D. Thesis. Changchun, Jilin: Jilin University, 2005.  (in Chinese with English abstract)