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Shanfeng Zhu
Published:2014-11-25 Hits:2560

 

Shanfeng Zhu

Associate Professor

School of Computer Science, Fudan University

Email: zhusf@fudan.edu.cn
Office Phone: 86-21-55664712
Homepage: http://datamining-iip.fudan.edu.cn

 

Background:

1999-2003 Ph.D. Degree, Department of Computer Science, City University of Hong Kong, P.R, China
1996-1999 M.Sc. Degree, Department of Computer Science, Wuhan University, P.R, China
1992-1996 B.Sc. Degree, Department of Computer Science, Wuhan University, P.R, China
 

Research:

Data Mining, Machine Learning, Information Retrieval, Intelligent Information Processing

 

Representative Publications:

(I) Information Retrieval and Biomedical Text Mining

1. Ke Liu, Junqiu Wu, Shengwen Peng, Chengxiang Zhai, Shanfeng Zhu*, The Fudan-UIUC Participation in the BioASQ Challenge Task 2a: The Antinomyra system. CLEF (Working Notes) 2014: 1311-1318 (Winner of CLEF2014 BioASQ Task2a Competition)
2. Jun Gu, Wei Feng, Jia Zeng, Hiroshi Mamitsuka, Shanfeng Zhu* Efficient Semi-supervised MEDLINE Document Clustering with MeSH Semantic and Global Content Constraints. IEEE Transactions on Cybernetics, 43 (4), 1265–1276, (2013)
3. Shanfeng Zhu*, Jia Zeng, Hiroshi Mamitsuka: Enhancing MEDLINE document clustering by incorporating MeSH semantic similarity. Bioinformatics 25(15): 1944-1951 (2009)
4. Shanfeng Zhu*, Ichigaku Takigawa, Jia Zeng, Hiroshi Mamitsuka: Field independent probabilistic model for clustering multi-field documents. Information Processing & Management. 45(5): 555-570 (2009)

(II) Drug Discovery

5. Xiaodong Zheng, Hao Ding, Hiroshi Mamitsuka, Shanfeng Zhu*: Collaborative matrix factorization with multiple similarities for predicting drug-target interactions. KDD 2013: 1025-1033
6. Shanfeng Zhu, Yasushi Okuno, Gozoh Tsujimoto, Hiroshi Mamitsuka: A probabilistic model for mining implicit 'chemical compound-gene' relations from literature. Bioinformatics. 2005 Sep 1;21 Suppl 2:ii245-51

(III) Immunoinformatics and Computational Vaccinology

7. Linyuan Guo, Cheng Luo , Shanfeng Zhu* MHC2SKpan: A novel kernel based approach for pan-specific MHC class Ⅱ peptide binding prediction BMC Genomics 14 Suppl 5, S11,(2013)
8. Lianming Zhang, Yiqing Chen, Hau-San Wong, Shuigeng Zhou, Hiroshi Mamitsuka, Shanfeng Zhu *. TEPITOPEpan: Extending TEPITOPE for Peptide Binding Prediction Covering over 700 HLA-DR Molecules. PLoS ONE. 7(2):e30483, (2012)
9. Xihao Hu, Wenjian Zhou, Keiko Udaka, Hiroshi Mamitsuka, Shanfeng Zhu*: MetaMHC: a meta approach to predict peptides binding to MHC molecules. Nucleic Acids Research 38: W474-479 (2010) (Winner of Machine Learning in Immunology Competition 2009 on HLA-A*0101(9-mer) )
10. Shanfeng Zhu, Keiko Udaka, John Sidney, Alessandro Sette, Kiyoko F. Aoki-Kinoshita, Hiroshi Mamitsuka: Improving MHC binding peptide prediction by incorporating binding data of auxiliary MHC molecules. Bioinformatics 22(13): 1648-1655 (2006)

 

 

 

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