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Predicting Comprehensive Drug-Drug Interactions for New Drugs via Triple Matrix Factorization., , , , , and . IWBBIO (1), volume 10208 of Lecture Notes in Computer Science, page 108-117. (2017)DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (3): 1854-1863 (2023)TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine., , , , and . CoRR, (2023)SRP: A concise non-parametric similarity-rank-based model for predicting drug-target interactions., and . BIBM, page 1636-1641. IEEE Computer Society, (2015)Attention-based cross domain graph neural network for prediction of drug-drug interactions., , , , , and . Briefings Bioinform., (July 2023)Bamboo Agents: Exploring the Potentiality of Digital Craft by Decoding and Recoding Process., , , , , and . TEI, page 15:1-15:13. ACM, (2023)AIAT: Adaptive Iteration Adversarial Training for Robust Pulmonary Nodule Detection., , , , and . BIBM, page 2157-2161. IEEE, (2022)BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion., , , , and . BMC Bioinform., 19-S (9): 169-176 (2018)Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix., and . PRIB, volume 5780 of Lecture Notes in Computer Science, page 344-353. Springer, (2009)Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine., , , and . PRIB, volume 4146 of Lecture Notes in Computer Science, page 105-114. Springer, (2006)