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Demystify Hyperparameters for Stochastic Optimization with Transferable Representations.

, , , and . KDD, page 1706-1716. ACM, (2022)

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Topic Discovery for Biomedical Corpus Using MeSH Embeddings., , , and . BHI, page 1-4. IEEE, (2019)InterHG: an Interpretable and Accurate Model for Hypothesis Generation., , , , , and . BIBM, page 1552-1557. IEEE, (2021)Mining Hidden Knowledge from the Counterterrorism Dataset Using Graph-Based Approach., and . NLDB, volume 9612 of Lecture Notes in Computer Science, page 310-317. Springer, (2016)Augmenting word embeddings through external knowledge-base for biomedical application., , , and . IEEE BigData, page 1965-1974. IEEE Computer Society, (2017)Correlation Networks for Extreme Multi-label Text Classification., , , and . KDD, page 1074-1082. ACM, (2020)Continual representation learning for evolving biomedical bipartite networks., , and . Bioinform., 37 (15): 2190-2197 (2021)MeSHProbeNet: a self-attentive probe net for MeSH indexing., , , , and . Bioinform., 35 (19): 3794-3802 (2019)Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution., , , , and . KDD, page 1599-1607. ACM, (2018)Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications., , , , , and . CIKM, page 4538-4544. ACM, (2023)Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts., , , and . KDD, page 843-851. ACM, (2019)