Shanfeng Zhu

Best Publications

• Similarity-based machine learning methods for predicting drug–target interactions: a brief review

  Hao Ding;Ichigaku Takigawa;Hiroshi Mamitsuka;Shanfeng Zhu

  456
  Citations

• Collaborative matrix factorization with multiple similarities for predicting drug-target interactions

  Xiaodong Zheng;Hao Ding;Hiroshi Mamitsuka;Shanfeng Zhu

  340
  Citations

• GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank

  Ronghui You;Zihan Zhang;Yi Xiong;Fengzhu Sun;Fengzhu Sun

  214
  Citations

• AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

  Ronghui You;Zihan Zhang;Ziye Wang;Suyang Dai

  169
  Citations

• Toward more accurate pan-specific MHC-peptide binding prediction: a review of current methods and tools

  Lianming Zhang;Keiko Udaka;Hiroshi Mamitsuka;Shanfeng Zhu

  156
  Citations

• NetGO: improving large-scale protein function prediction with massive network information

  Ronghui You;Ronghui You;Shuwei Yao;Shuwei Yao;Yi Xiong;Xiaodi Huang

  149
  Citations

• DrugE-Rank: improving drug–target interaction prediction of new candidate drugs or targets by ensemble learning to rank

  Qingjun Yuan;Junning Gao;Dongliang Wu;Shihua Zhang

  143
  Citations

• A probabilistic model for mining implicit ‘chemical compound–gene’ relations from literature

  Shanfeng Zhu;Yasushi Okuno;Gozoh Tsujimoto;Hiroshi Mamitsuka

  130
  Citations

• DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction.

  Ronghui You;Shuwei Yao;Hiroshi Mamitsuka;Hiroshi Mamitsuka;Shanfeng Zhu

  129
  Citations

• DeepMeSH: deep semantic representation for improving large-scale MeSH indexing

  Shengwen Peng;Ronghui You;Hongning Wang;Chengxiang Zhai

  128
  Citations

• Enhancing MEDLINE document clustering by incorporating MeSH semantic similarity

  Shanfeng Zhu;Jia Zeng;Hiroshi Mamitsuka

  121
  Citations

• NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information.

  Unknown

  121
  Citations

• Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information

  Xiaodong Li;Xiaodi Huang;Xiaotie Deng;Xiaotie Deng;Shanfeng Zhu

  88
  Citations

• NetGO 3.0: Protein Language Model Improves Large-Scale Functional Annotations

  Unknown

  86
  Citations

• Does Summarization Help Stock Prediction? A News Impact Analysis

  Xiaodong Li;Haoran Xie;Yangqiu Song;Shanfeng Zhu

  83
  Citations

• DeepText2GO: Improving large-scale protein function prediction with deep semantic text representation.

  Unknown

  81
  Citations

• SolidBin: improving metagenome binning with semi-supervised normalized cut.

  Ziye Wang;Zhengyang Wang;Yang Young Lu;Fengzhu Sun;Fengzhu Sun

  78
  Citations

• MeSHLabeler: improving the accuracy of large-scale MeSH indexing by integrating diverse evidence.

  Ke Liu;Shengwen Peng;Junqiu Wu;Chengxiang Zhai

  77
  Citations

• Improving stock market prediction by integrating both market news and stock prices

  Xiaodong Li;Chao Wang;Jiawei Dong;Feng Wang

  72
  Citations

• AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

  Ronghui You;Zihan Zhang;Ziye Wang;Suyang Dai

  61
  Citations