學習與工作經(jīng)歷
1992 - 1996年，武漢大學計算機科學系，學士學位；
1996 - 1999年，武漢大學計算機科學系，碩士學位；
2000 - 2003年，香港城市大學計算機科學系，博士學位；
2004 - 2008年，日本京都大學，博士后；
2008年 - 至今，復(fù)旦大學上海市智能信息處理重點實驗室，副教授；
現(xiàn)為復(fù)旦大學類腦智能科學與技術(shù)研究院副教授，博士生導(dǎo)師。
學術(shù)任職
UniProt 國際科學顧問委員會委員；
中國計算機學會生物信息專業(yè)委員會創(chuàng)始委員；
中國人工智能學會生物信息與人工生命專業(yè)委員會創(chuàng)始委員；
中國中文信息處理學會醫(yī)療健康與生物信息處理專業(yè)委員會創(chuàng)始委員；
中國細胞生物學會生物信息與系統(tǒng)生物學分會理事；
中國運籌學會計算系統(tǒng)生物學分會理事。
科學研究
主要研究方向為人工智能與生物醫(yī)學大數(shù)據(jù)挖掘，特別是生物醫(yī)學文本挖掘、蛋白功能預(yù)測、宏基因組、藥物發(fā)現(xiàn)、免疫信息學等。相關(guān)論文在生物信息、人工智能、數(shù)據(jù)挖掘等頂級國際會議和期刊發(fā)表，如 NeurIPS, KDD，IJCAI, ISMB, IEEE Transaction on Cybernetics, Bioinformatics, Nucleic Acids Research等。
代表成果
1.Suyang Dai,Ronghui You,Zhiyong Lu,Xiaodi Huang,Hiroshi Mamitsuka,Shanfeng Zhu*: FullMeSH: improving large-scale MeSH indexing with full text. Bioinformatics. 36(5): 1533-1541(2020)
2. Ronghui You,Zihan Zhang,Ziye Wang,Suyang Dai,Hiroshi Mamitsuka,Shanfeng Zhu*: AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification. NeurIPS 2019: 5812-5822(2019)(First Place of BioASQ 8a and 7a)
4. Shengwen Peng,Ronghi You,Hongning Wang,Hiroshi Mamitsuka,Shanfeng Zhu*,DeepMeSH: Deep Semantic Representation for Improving Large-scale MeSH Indexing. Bioinformatics(ISMB2016),2016，32(12)i70-79(First Place of BioASQ 5a and 4a)
5. Ke Liu,Shengwen Peng,Junqiu Wu,Chengxiang Zhai,Hiroshi Mamitsuka,Shanfeng Zhu*,MeSHLabeler: Improving the Accuracy of large-scale MeSH indexing by Integrating Diverse Evidence. Bioinformatics(ISMB2015),2015,31(12): i339-i347(First Place of BioASQ 3a and 2a)
6.Junning Gao,Makoto Yamada,Samuel Kaski,Hiroshi Mamitsuka,Shanfeng Zhu*,A Robust Convex Formulation for Ensemble Clustering. Proceedings of the 25th International Joint Conference on Artificial Intelligence(IJCAI 2016),New York,USA Jul. 2015,AAAI Press,1476-1482
7.Xiaodong Zheng,Shanfeng Zhu*,Junning Gao,Hiroshi Mamitsuka,Instance-wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters. Proceedings of the 24th International Joint Conference on Artificial Intelligence(IJCAI 2015),Buenos Aires,Argentina Jul. 2015,AAAI Press,4091-4097.
8. Lizhi Liu,Xiaodi Huang,Hiroshi Mamitsuka,Shanfeng Zhu*,HPOLabeler: Improving prediction of human protein-phenotype associations by learning to rank. Bioinformatics 36(14)4180-4188(2020)
9. Ronghui You,Shuwei Yao,Yi Xiong,Xiaodi Huang,Fengzhu Sun,Hiroshi Mamituska,Shanfeng Zhu*,NetGO: improving large-scale protein function prediction with massive network information. Nucleic Acids Research,47(W1),W379u2013W387(2019)
10. Ronghui You,Zhihan Zhang,Yi Xiong,Fengzhu Sun,Hiroshi Mamitsuka,Shanfeng Zhu* GOLabeler: Improving Sequence-based Large-scale Protein Function Prediction by Learning to Rank. Bioinformatics 34(14)2465-2473,(2018) （First Place in CAFA3）
11. Ziye Wang,Zhengyang Wang,Yang Young Lu,Fengzhu Sun*,Shanfeng Zhu* SolidBin: improving metagenome binning with semi-supervised normalized cut. Bioinformatics 35(21): 4229-4238(2019)
12. Qingjun Yuan,Junning Gao,Dongliang Wu,Shihua Zhang,Hiroshi Mamitsuka,Shanfeng Zhu*,DrugE-Rank: improving drugu2013target interaction prediction of new candidate drugs or targets by ensemble learning to rank. Bioinformatics(ISMB2016)，2016 32(12). i18-27
