Bertmesh: Deep Contextual Representation Learning For Large-Scale High-Performance Mesh Indexing With Full Text | 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 |
FullMeSH: Improving Large-Scale MeSH Indexing with Full Text. | 5 | 0.40 | 2020 |
HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification | 0 | 0.34 | 2019 |
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 |
POSTER: STAR (Space-Time Adaptive and Reductive) Algorithms for Real-World Space-Time Optimality. | 0 | 0.34 | 2017 |
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 |
FDUMedSearch at TREC 2015 Clinical Decision Support Track. | 3 | 0.43 | 2015 |
Cache-oblivious wavefront: improving parallelism of recursive dynamic programming algorithms without losing cache-efficiency | 9 | 0.83 | 2015 |