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Integrating herb effect similarity for network-based herb target prediction., , , , , , , , , and . BMEI, page 483-488. IEEE, (2015)Similarity-based algorithms for Disease Terminology Mapping., , , , and . BIBM, page 1378-1384. IEEE, (2016)Heterogeneous network embedding for identifying symptom candidate genes., , , , , , , and . JAMIA, 25 (11): 1452-1459 (2018)TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning., , , , , , , , , and 1 other author(s). BIBM, page 3776-3783. IEEE, (2021)The CMM Measurement Path Planning for Blade Surface Based on the Contour Measurement., , , and . ICDMA, page 1228-1232. IEEE Computer Society, (2011)Heterogeneous network propagation for herb target identification., , , , , , and . BMC Med. Inf. & Decision Making, 18 (S-1): 27-37 (2018)Phenonizer: A fine-grained phenotypic named entity recognizer for Chinese clinical texts., , , , , and . BIBM, page 3963-3970. IEEE, (2021)Memory Replay with Data Compression for Continual Learning., , , , , , , , , and . CoRR, (2022)Overlapping Functional Modules Detection in PPI Network with Pairwise Constrained Nonnegative Matrix Tri-Factorization., , , , and . BCB, page 756-757. ACM, (2017)PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features., , , , , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (1): 575-584 (2022)