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

, , , , , and . Bioinform., 32 (12): 70-79 (2016)

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POSTER: STAR (Space-Time Adaptive and Reductive) Algorithms for Real-World Space-Time Optimality., and . PPoPP, page 455-456. ACM, (2017)The Fudan Participation in the 2015 BioASQ Challenge: Large-scale Biomedical Semantic Indexing and Question Answering., , , , , and . CLEF (Working Notes), volume 1391 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers., , , , , and . AAAI, page 16469-16477. AAAI Press, (2024)DeepText2Go: Improving large-scale protein function prediction with deep semantic text representation., and . BIBM, page 42-49. IEEE Computer Society, (2017)AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks., , , , and . CoRR, (2018)FDUMedSearch at TREC 2015 Clinical Decision Support Track., , , and . TREC, volume 500-319 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2015)FullMeSH: improving large-scale MeSH indexing with full text., , , , , and . Bioinform., 36 (5): 1533-1541 (2020)Cache-oblivious wavefront: improving parallelism of recursive dynamic programming algorithms without losing cache-efficiency., , , , , and . PPoPP, page 205-214. ACM, (2015)HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification., , , and . CoRR, (2019)AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification., , , , , and . NeurIPS, page 5812-5822. (2019)