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Disambiguation of "You, Zhu-Hong"

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Distributed Winner-Take-All in Dynamic Networks.

, , , and . IEEE Trans. Autom. Control., 62 (2): 577-589 (2017)

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Hong Zhu

Hong Zhu

You Huh

You Mahman

An You

 

Other publications of authors with the same name

Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis., , , , and . BMC Bioinform., 14 (S-8): S10 (2013)GANCDA: a novel method for predicting circRNA-disease associations based on deep generative adversarial network., , , , and . Int. J. Data Min. Bioinform., 23 (3): 265-283 (2020)A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation Learning., , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 481-492. Springer, (2020)Prediction of lncRNA-Disease Associations from Heterogeneous Information Network Based on DeepWalk Embedding Model., , , , , , , and . ICIC (3), volume 12465 of Lecture Notes in Computer Science, page 291-300. Springer, (2020)Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (6): 2546-2554 (2021)PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 14 (5): 1165-1172 (2017)MISSIM: An Incremental Learning-Based Model With Applications to the Prediction of miRNA-Disease Association., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (5): 1733-1742 (2021)Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (6): 2017-2028 (2020)Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (5): 2629-2638 (September 2023)An Efficient Ensemble Learning Approach for Predicting Protein-Protein Interactions by Integrating Protein Primary Sequence and Evolutionary Information., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (3): 809-817 (2019)