| HPODNets: deep graph convolutional networks for predicting human protein-phenotype associations | 0 | 0.34 | 2022 |
| META-DDIE: predicting drug-drug interaction events with few-shot learning | 1 | 0.36 | 2022 |
| Bertmesh: Deep Contextual Representation Learning For Large-Scale High-Performance Mesh Indexing With Full Text | 0 | 0.34 | 2021 |
| Drug3D-DTI: Improved Drug-target Interaction Prediction by Incorporating Spatial Information of Small Molecules | 0 | 0.34 | 2021 |
| Assessment Of Metagenomic Assemblers Based On Hybrid Reads Of Real And Simulated Metagenomic Sequences (Vol 21, Pg 777, 2020) | 0 | 0.34 | 2021 |
| Netgo 2.0: Improving Large-Scale Protein Function Prediction With Massive Sequence, Text, Domain, Family And Network Information | 1 | 0.35 | 2021 |
| HPOFiller: identifying missing protein-phenotype associations by graph convolutional network | 1 | 0.35 | 2021 |
| Deepgraphgo: Graph Neural Network For Large-Scale, Multispecies Protein Function Prediction | 1 | 0.36 | 2021 |
| GrantRel - Grant Information Extraction via Joint Entity and Relation Extraction. | 0 | 0.34 | 2021 |
| GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF | 0 | 0.34 | 2021 |
| Hpolabeler: Improving Prediction Of Human Protein-Phenotype Associations By Learning To Rank | 1 | 0.35 | 2020 |
| Assessment of metagenomic assemblers based on hybrid reads of real and simulated metagenomic sequences. | 0 | 0.34 | 2020 |
| FullMeSH: Improving Large-Scale MeSH Indexing with Full Text. | 5 | 0.40 | 2020 |
| AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification | 1 | 0.36 | 2019 |
| DeepDock: Enhancing Ligand-protein Interaction Prediction by a Combination of Ligand and Structure Information | 0 | 0.34 | 2019 |
| SolidBin: Improving Metagenome Binning with Semi-supervised Normalized Cut. | 2 | 0.37 | 2019 |
| HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification | 0 | 0.34 | 2019 |
| AiProAnnotator: Low-rank Approximation with network side information for high-performance, large-scale human Protein abnormality Annotator | 1 | 0.35 | 2018 |
| AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks. | 0 | 0.34 | 2018 |
| GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank. | 3 | 0.39 | 2018 |
| GrantExtractor: A Winning System for Extracting Grant Support Information from Biomedical Literature | 0 | 0.34 | 2018 |
| THCluster: Herb supplements categorization for precision traditional Chinese medicine | 1 | 0.35 | 2017 |
| DeepText2Go: Improving large-scale protein function prediction with deep semantic text representation | 0 | 0.34 | 2017 |
| DrugE-Rank: improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning to rank. | 19 | 0.62 | 2016 |
| A Robust Convex Formulation for Ensemble Clustering. | 0 | 0.34 | 2016 |
| DeepMeSH: deep semantic representation for improving large-scale MeSH indexing. | 22 | 0.83 | 2016 |
| The Fudan Participation in the 2015 BioASQ Challenge: Large-scale Biomedical Semantic Indexing and Question Answering. | 2 | 0.37 | 2015 |
| BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model | 0 | 0.34 | 2015 |
| Instance-Wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters. | 5 | 0.38 | 2015 |
| Enhancing Time Series Clustering by Incorporating Multiple Distance Measures with Semi-Supervised Learning | 4 | 0.40 | 2015 |
| Does Summarization Help Stock Prediction? A News Impact Analysis | 15 | 0.62 | 2015 |
| Towards A Pattern-Based Query Language For Document Databases | 0 | 0.34 | 2015 |
| Design Issues of JPQ: a Pattern-based Query Language for Document Databases. | 1 | 0.41 | 2015 |
| FDUMedSearch at TREC 2015 Clinical Decision Support Track. | 3 | 0.43 | 2015 |
| MeSHLabeler: improving the accuracy of large-scale MeSH indexing by integrating diverse evidence | 20 | 0.85 | 2015 |
| MeSHSim: An R/Bioconductor package for measuring semantic similarity over MeSH headings and MEDLINE documents. | 4 | 0.50 | 2015 |
| Similarity-based machine learning methods for predicting drug-target interactions: a brief review. | 59 | 1.32 | 2014 |
| XTQ: A Declarative Functional XML Query Language. | 3 | 0.52 | 2014 |
| The Fudan-UIUC Participation in the BioASQ Challenge Task 2a: The Antinomyra system. | 6 | 0.50 | 2014 |
| Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information | 14 | 0.71 | 2014 |
| An intelligent market making strategy in algorithmic trading | 1 | 0.35 | 2014 |
| Document Summarization via Self-Present Sentence Relevance Model. | 2 | 0.37 | 2013 |
| Presenting XML schema mapping with conjunctive-disjunctive views | 0 | 0.34 | 2013 |
| Efficient Semisupervised MEDLINE Document Clustering With MeSH-Semantic and Global-Content Constraints | 4 | 0.44 | 2013 |
| Collaborative matrix factorization with multiple similarities for predicting drug-target interactions | 45 | 1.11 | 2013 |
| A consensus method for prioritising drug-associated target proteins. | 0 | 0.34 | 2012 |
| Toward more accurate pan-specific MHC-peptide binding prediction: a review of current methods and tools. | 13 | 0.77 | 2012 |
| A conversation with Professor Ruqian Lu et al. | 0 | 0.34 | 2011 |
| Enhanced clustering of biomedical documents using ensemble non-negative matrix factorization | 20 | 0.71 | 2011 |
| Improving stock market prediction by integrating both market news and stock prices | 21 | 1.09 | 2011 |
