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Xiaoshi Yin
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2010 – 2019
- 2013
- [j4]Xiaoshi Yin, Jimmy Xiangji Huang
, Zhoujun Li
, Xiaofeng Zhou:
A Survival Modeling Approach to Biomedical Search Result Diversification Using Wikipedia. IEEE Trans. Knowl. Data Eng. 25(6): 1201-1212 (2013) - 2012
- [j3]Xiaoshi Yin, Jimmy Xiangji Huang
, Zhoujun Li
:
Re-ranking with context for high-performance biomedical information retrieval. Int. J. Data Min. Bioinform. 6(2): 115-129 (2012) - [c8]Kailong Chen, Zhengdong Lu, Xiaoshi Yin, Yong Yu, Zaiqing Nie:
Finding web appearances of social network users via latent factor model. SIGIR 2012: 1077-1078 - 2011
- [j2]Xiaoshi Yin, Zhoujun Li
, Jimmy X. Huang
, Xiaohua Hu:
Promoting ranking diversity for genomics search with relevance-novelty combined model. BMC Bioinform. 12(S-5): S8 (2011) - [j1]Xiaoshi Yin, Jimmy Xiangji Huang
, Zhoujun Li
:
Mining and modeling linkage information from citation context for improving biomedical literature retrieval. Inf. Process. Manag. 47(1): 53-67 (2011) - [c7]Yan Chen, Xiaoshi Yin, Zhoujun Li
, Xiaohua Hu, Jimmy Xiangji Huang
:
Promoting Ranking Diversity for Biomedical Information Retrieval Based on LDA. BIBM 2011: 456-461 - 2010
- [c6]Xiaoshi Yin, Zhoujun Li
, Jimmy Xiangji Huang
, Xiaohua Hu:
A relevance-novelty combined model for genomics search result diversification. BIBM 2010: 692-695 - [c5]Xiaoshi Yin, Xiangji Huang, Zhoujun Li:
Promoting Ranking Diversity for Biomedical Information Retrieval Using Wikipedia. ECIR 2010: 495-507 - [c4]Xiaoshi Yin, Xiangji Huang
, Xiaofeng Zhou, Zhoujun Li
:
A survival modeling approach to biomedical search result diversification using wikipedia. SIGIR 2010: 901-902
2000 – 2009
- 2009
- [c3]Xiaoshi Yin, Xiangji Huang
, Zhoujun Li
:
Towards a Better Ranking for Biomedical Information Retrieval Using Context. BIBM 2009: 344-349 - [c2]Xiaoshi Yin, Xiangji Huang
, Zhoujun Li
:
BioCLink: A Probabilistic Approach for Improving Genomics Search with Citation Links. BIBM 2009: 375-378 - [c1]Xiaoshi Yin, Xiangji Huang, Qinmin Hu, Zhoujun Li:
Boosting Biomedical Information Retrieval Performance through Citation Graph: An Empirical Study. PAKDD 2009: 949-956
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