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基本信息 The basic information
姓名: 尤著宏

学院: 计算机学院


学历: 博士研究生毕业

学位: 工学博士


职称: 教授

职务:


学科: 计算机科学与技术-计算机应用技术


邮箱: zhuhongyou@gmail.com

电话: **




综合介绍 General Introduction
尤著宏，博士，西北工业大学教授，中组部第十四批“国家高层次人才计划”创新项目获得者、国家自然科学基金委“优秀青年”科学基金获得者、中科院率先行动“****”青年俊才入选者。2010年12月于中国科学技术大学获工学博士学位；2008年6月-2009年12月，美国康奈尔大学联合培养博士生；2012年起，在同济大学计算机科学与技术博士后流动站从事博士后研究；2013年获人社部“香江****”计划资助，在香港理工大学电子计算学系从事博士后研究，合作导师Prof. Keith C.C. Chan。
尤博士主要从事模式识别理论及生物信息数据挖掘研究，主要工作集中在利用复杂网络、模式识别、深度学习、数据挖掘等方法对蛋白质组学、非编码RNA和药物靶标发现等生物信息学领域的多个重要问题进行探索和研究，并取得一系列重要进展：（1）针对复杂生物信息数据具有的海量、高维、高冗余、高噪声等特性，提出了一套完整表征生物数据的特征建模、特征提取及维数约简新理论、新方法，为后续高效模式识别理论的设计奠定了基础；（2）建立了以复杂网络分析为核心的高效学习理论，使之能更好地处理多模态、动态、分层及关联的复杂生物数据；（3）提出一系列基于智能计算的复杂生物数据高效学习算法，为系统生物学中相关领域的研究及发展提供科学的辅助手段和工具。尤博士目前研究方向包括药物靶点预测、蛋白质相互作用预测、microRNA与疾病关系预测、lncRNA与疾病关系研究、疾病-微生物关联预测研究、药物组合研究等。这些研究方向是近年来计算机科学和生命科学等诸多领域交叉研究的前沿和热点，具有重要的理论意义和实际价值。
尤博士在上述领域的研究工作已产生一定的国内外影响力，在《IEEE Transactions on Cybernetics》、《IEEE Transactions on Neural Networks and Learning Systems》、《IEEE/ACM Transactions on Computational Biology and Bioinformatics》、《PLOS Computational Biology》、《Briefings in Bioinformatics》、《Bioinformatics》等国内外重要学术期刊及ISBRA、IJCNN、WCCI、BIBM等国际会议发表研究论文240余篇，SCI 索引论文170余篇，累计影响因子超过1000。其中，第一作者及通讯作者SCI 索引论文共132篇，中科院一区论文42篇。发表论文被IEEE Transactions on Industrial Informatics、IEEE Transactions on Knowledge and Data Engineering、Frontiers of Computer Science、Information Sciences、Frontiers in Genetics、Trends in genetics、Briefings in Bioinformatics、Cancer research、Nucleic acids research 等国际著名杂志引用7300多次（Google Scholar），7 篇入选ESI 高被引论文10篇，热点论文3篇。撰写专著章节1 章、申请发明专利12项。
尤博士目前是IEEE会员和中国计算机学会计算机应用专委会、生物信息专委会委员。担任Journal of Biological Research、International Journal of Distributed Sensor Networks、Evolutionary Bioinformatics、Current Topics in Medicinal Chemistry及BioMed Research International 5个SCI国际期刊的客座编委（Guest Editor）以及Current Proteomics期刊编辑顾问委员会（Editorial Advisory Board）委员和地区编辑Regional Editor，是多个IEEE Transactions汇刊及高水平SCI国际期刊特邀审稿人。作为第二完成人的科技成果“复杂生物数据的特征建模及高效学习理论与应用”获得2016年度教育部自然科学奖2 等奖。作为第一完成人的科技成果“高维复杂数据的特征分析及高效学习方法与应用”获得2019年度新疆自治区自然科学奖一等奖。
联系方式：zhuhongyou@gmail.com



学术成果 Academic Achievements
[1] Zhu-Hong You（尤著宏、第一作者）, Zhi-An Huang, Zexuan Zhu, Gui-Ying Yan, Zhenkun Wen, Xing Chen “PBMDA: a novel and effective path-based computational model for miRNA-disease association prediction,” PLOS Computational Biology, 13 (3) :e**, 2017 (SCI, 3年影响因子4.679, 中科院小类1区) 高被引论文
[2] Zhu-Hong You（尤著宏、第一作者）, Mengchu Zhou, Xin Luo, Shuai Li,“Highly Efficient Framework for Predicting Interactions Between Proteins,” IEEE Transactions on Cybernetics, vol. 47, no.3, pp. 721-733, 2017. （SCI, 3年影响因子：4.454, 中科院1区）
[3] Xing Chen, Chenggang Clarence Yan, Xu Zhang, Zhu-Hong You（通信作者）. “Long non-coding RNAs and complex diseases: from experimental results to computational models,”Briefings in Bioinformatics, vol.18, no.4, pp. 558-576,bbw060, 2017 Jul (SCI, 影响因子 9.617,中科院1区). 高被引论文+热点论文
[4] Lei Wang, Zhu-Hong You（共同第一及通信作者）, Yu-An Huang, De-Shuang Huang, Keith C.C. Chan, “An Efficient Approach based on Multi-sources Information to Predict CircRNA-disease Associations Using Deep Convoltional Neural Network,”Bioinformatics , vol.36, no.13, pp.4038-4046, 2020 (SCI，影响因子：4.531，中科院小区1区)
[5] Lei Wang, Zhu-Hong You（通信作者）, Jian-Qiang Li, Yu-An Huang“IMS-CDA: Prediction of CircRNA-disease Associations from the Integration of Multi-source Similarity Information with Deep Stacked Auto-encoder Model,” IEEE Transactions on Cybernetics, vol. 1, no.1, pp. 1-10, 2020. （SCI, 中科院1区, 影响因子：11.079）
[6] 王磊，徐涛，宋传东，王海峰，尤著宏（通信作者），宋克俭，闫欣. 基于深度学习的 miRNA 与疾病相关性预测算法 [J]. 电子学报, 2019.（SCI，JCR 2区，中科院4区，影响因子：0.945）
[7] Lun Hu, Xiaojuan Wang, Yu-An Huang, Pengwei Hu, Zhu-Hong You（通信作者） “A Survey on Computational Mo·dels for Predicting Protein-protein Interactions,”Briefings in Bioinformatics, vol.22, no.1, pp. 1-10, bbw060, 2021 (SCI, 中科院1区，影响因子：8.990).
[8] Lei Wang, Xin Yan, Zhu-Hong You（通信作者）, Xi Zhou, Hao-Yuan Li, Yu-AnHuang, “SGANRDA: semi-supervised generative adversarial networks for predicting circRNA-disease associations,”Briefings in Bioinformatics, vol.22, no.1, pp. 1-10,bbw060, 2021 (SCI, 中科院1区，影响因子：8.990).
[9] Zhengwei Li, Jiashu Li, Ru Nie, Zhu-Hong You（通信作者）, Wenzheng Bao “A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction,”Briefings in Bioinformatics, vol.1, no.1, pp. 1-10,bbw060, 2020 (SCI, 中科院1区，影响因子：8.990).
[10] Yu-An Huang, Keith C C Chan, Zhu-Hong You（通信作者）, Pengwei Hu, Lei Wang, Zhi-An Huang ,“Predicting microRNA–disease associations from lncRNA–microRNA interactions via Multiview Multitask Learning,”Briefings in Bioinformatics, bbaa133, https://doi.org/10.1093/bib/bbaa1334, 2020 July(SCI, 中科院1区，3年影响因子：6.846).
[11] Zhen-Hao Guo, Zhu-Hong You（共同第一及通信作者）, De-Shuang Huang, Hai-Cheng Yi , Kai Zheng, Zhan-Heng Chen, Yan-Bin Wang, “MeSHHeading2vec: A new method for representing MeSH headings as vectors based on graph embedding algorithm,”Briefings in Bioinformatics, bbaa037, https://doi.org/10.1093/bib/bbaa037, 2020 March(SCI, 中科院1区，3年影响因子：6.846).
[12] Xing Chen, Di Xie, Qi Zhao, Zhu-Hong You（尤著宏）. “MicroRNAs and complex diseases: from experimental results to computational models,”Briefings in Bioinformatics, vol. 20, no.2, pp. 515-539, 2019 Mar (SCI，3年影响因子 5.134，中科院1区). 高被引论文+热点论文
[13] Lei Wang, Zhu-Hong You（共同第一及通信作者）, Xing Chen, Yang-Ming Li, Ya-Nan Dong, Li-Ping Li, Kai Zheng,“LMTRDA: Using logistic model tree to predict miRNA-disease associations by fusing multi-source information of sequences and similarities,” PLOS Computational Biology, 15 (3) : e**., 2019 (SCI, 3年影响因子4.679, 中科院小类1区)
[14] Lei Wang？*, Zhu-Hong You（共同第一及通信作者）, Yang-Ming Li, Kai Zheng, Yu-An Huang,“GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm,” PLOS Computational Biology, vol. 16, no.5, pp. e**, 2020(SCI, 3年影响因子4.679, 中科院小类1区)
[15] Kai Zheng, Lei Wang, Zhu-Hong You（通信作者）, Jian-Qiang Li, Zhen-Hao Guo, Yu-An Huang,“'iCDA-CGR: Identification of CircRNA-Disease Associations based on Chaos Game Representation,” PLOS Computational Biology, vol. 15, no.5, pp. e**, 2020 (SCI, 3年影响因子4.679, 中科院小类1区)
[16] Lun Hu, Jun Zhang, Hong Yan, Zhu-Hong You（通信作者）,“HiSCF: leveraging higher-order structures for clustering analysis in biological networks,” Bioinformatics, btaa775, https://doi.org/10.1093/bioinformatics/btaa775, 2020. (SCI, 中科院小区1区，影响因子：5.610)
[17] Xing Chen , Yu-An Huang, Zhu-Hong You（通信作者）, Guiying Yan, Xuesong Wang,“A Novel Approach based on KATZ measure to Predict Associations of Human Microbiota with Non-Infectious Diseases,” Bioinformatics, vol. 33, no.5, pp. 733-739, 2016. (SCI, 中科院1区，影响因子：5.123) 高被引论文
[18] Yu-An Huang, Keith CC Chan, Zhu-Hong You（通信作者）,“Constructing Prediction Models from Expression Profiles for Large Scale lncRNA-miRNA Interaction Profiling,” Bioinformatics, vol. 34, no.5, pp. 812-819, 2018. (SCI, 中科院1区，2016-2017影响因子：7.307)
[19] Xing Chen, Di Xie, Lei Wang, Qi Zhao, Zhu-Hong You（尤著宏）, Hongsheng Liu, “BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction,” Bioinformatics, vol. 34, no.18, pp. 3178-3186, 2018. (SCI, 中科院1区，2016-2017影响因子：7.307) 高被引论文+热点论文
[20] Yu-An Huang, Peng-Wei Hu, Keith CC Chan, Zhu-Hong You（通作者信）, “Graph convolution for predicting associations between miRNA and drug resistance,” Bioinformatics, vol. 36, no.3, pp. 851-858, 2020 Feb. (SCI, 中科院1区，3年影响因子：5.773)
[21] Shuai Li, Zhu-Hong You（通信作者）, Hongliang Guo, Xin Luo, Zhongqiu Zhao. “Inverse-free Extreme Learning Machine with Optimal Information Updating,” IEEE Transactions on Cybernetics, vol.1, no.99, pp 1-7, 2015（SCI, 3年影响因子：4.454, 中科院1区）
[22] Xin Luo, MengChu Zhou, Shuai Li, YunNi Xia, Zhu-Hong You（尤著宏） , QingSheng Zhu, Hareton Leung,“Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data,” IEEE Transactions on Cybernetics, vol. 48, no.4, pp. 1216-1288, 2018. （SCI, 3年影响因子：4.454, 中科院1区）48 :4, 1216-1228. (2018)
[23] Kai Zheng, Zhu-Hong You（尤著宏）, Lei Wang, Yi-Ran Li, Ji-Ren Zhou, Hai-Tao Zeng, “MISSIM: An incremental learning-based model with applications to the prediction of miRNA-disease association,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2020.**, 2020 (SCI, 中科院小区2区，影响因子：3.015)
[24] Huijuan Zhu，Yang Li, Ruidong Li, Jianqiang Li, Zhu-Hong You（尤著宏）, Houbing Song, “SEDMDroid: An enhanced stacking ensemble of deep learning framework for Android malware detection, ” IEEE Transactions on Network Science and Engineering, DOI: 10.1109/TNSE.2020.**, 2020 (SCI，3年影响因子：8.785, 中科院1区)
[25] Hai-Cheng Yi, Zhu-Hong You（通信作者）, Zhen-Hao Guo, De-Shuang Huang, Keith C. C. Chan, “Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2020.**, 2020 (SCI, 中科院2区，3年影响因子：2.426)
[26] Jian-Qiang Li, Xiao-Feng Shi, Zhu-Hong You（通信作者）, Hai-Cheng Yi, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang,“Using Weighted Extreme Learning Machine Combined with Scale-invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2020.**, 2020 (SCI, 中科院2区，3年影响因子：2.426)
[27] Lin Zhu, Suping Deng, D.-S. Huang, Zhu-Hong You（尤著宏）,“Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding,”IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 14, no. 2, pp.345-352, 2017（SCI, 3年影响因子：1.528, 中科院3区）
[28] Shuai Li, MengChu Zhou, Xin Luo, Zhu-Hong You（尤著宏）,“Distributed Winner-take-all in Dynamic Networks,”IEEE Transactions on Automatic Control, vol.62, no.2, pp. 577-589, 2017（SCI, 3年影响因子：2.908, 中科院2区）
[29] Jianqiang Li, Zhu-Hong You（通信作者）, Xiao Li, Zhong Ming, Xing Chen, “PSPEL: In Silico Prediction of Self-interacting Proteins from Amino Acids Sequences using Ensemble Learning,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.14, no.5, pp. 1165-1172, 2017（SCI, 3年影响因子：1.528, 中科院3区）
[30] Xin Luo, Mengchu Zhou, Shuai Li, Zhu-Hong You（尤著宏）, Yunni Xia, and Qingsheng Zhu，“A Non-negative Latent Factor Model for Large-scale Sparse Matrices in Recommender Systems via Alternating Direction Method,” IEEE Transactions on Neural Networks and Learning Systems, vol.27, no.3, pp. 579-592, （SCI, 3年影响因子：4.505, 中科院1区）
[31] Yang Li, Xiao-Zhang Liu, Zhu-Hong You（尤著宏）, Li-Ping Li, Jian-Xin Guo, Zheng Wang,“A computational approach for predicting drug–target interactions from protein sequence and drug substructure fingerprint information,” International Journal of Intelligent Systems, vol. 36, no.1, pp. 593-609, 2020 (SCI, 中科院1区，影响因子：10.312)
[32] Ji-Ren Zhou, Zhu-Hong You（通信作者）, Li Cheng, Bo-Ya Ji, “Prediction of lncRNA-disease associations via an embedding learning HOPE in heterogeneous information networks” Molecular Therapy - Nucleic Acids, vol. 23, pp. 277-285, 2021. (SCI, 中科院2区，3年影响因子：5.317)
[33] Hao-Yuan Li, Zhu-Hong You（通信作者）, Lei Wang*, Xin Yan*, Zheng-Wei Li, “DF-MDA: an effective diffusion-based computational model for predicting miRNA-disease association” Molecular Therapy, vol. xx, pp. xx, 2021. Doi:10.1016/j.ymthe.2021.01.003 (SCI, 中科院1区，影响因子：8.986)
[34] Bo-Ya Ji, Zhu-Hong You（通信作者）, Han-Jing Jiang, Zhen-Hao Guo, Kai Zheng, “Prediction of drug-target interactions from multi-molecular network based on LINE network representation method,” Journal of translational medicine, vol. 18, no.1, pp. 1-11, 2020. (SCI, 中科院2区，影响因子：4.124)
[35] Hai-Cheng Yi, Zhu-Hong You（通信作者）, De-Shuang Huang, Zhen-Hao Guo, Keith CC Chan, Yangming Li,“Learning Representations to Predict Intermolecular Interactions on Large-Scale Heterogeneous Molecular Association Network,” iScience, vol. 23, no. 7, pp. 101261, 2020. (SCI, 中科院3区，3年影响因子：4.516)
[36] Zhen-Hao Guo, Zhu-Hong You（共同第一及通信作者）, Yan-Bin Wang, De-Shuang Huang, Hai-Cheng Yi, Zhan-Heng Chen, “Bioentity2vec: Attribute- and Behavior-driven Representation for Multi-type Relationship Prediction between Bioentities” Giga Science, vol.9, no.6, 2020 (SCI, 中科院2区，3年影响因子：5.993)
[37] Lijia Ma, Shiqiang Wang, Qiuzhen Lin, Jian-Qiang Li, Zhu-Hong You（尤著宏）, Jiaxiang Huang, Maoguo Gong, “Multi-neighborhood Learning for Global Alignment in Biological Networks,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2020.**, 2020 (SCI, 中科院2区，3年影响因子：2.426)
[38] Zhen-Hao Guo, Zhu-Hong You（通信作者）, De-Shuang Huang, Hai-Cheng Yi, Zhan-Heng Chen, Yan-Bin Wang, “A learning based framework for diverse biomolecule relationship prediction in molecular association network” Communications Biology, vol.3, no.118, 2020 ( Nature旗下期刊，SCI)
[39] Kai Zheng, Zhu-Hong You（共同第一及通信作者）, Lei Wang, Yong Zhou, Li-Ping Li, Zheng-Wei Li, “DBMDA: A unified embedding for sequence-based miRNA similarity measure with applications to predict and validate MicroRNA-disease associations,” Molecular Therapy - Nucleic Acids, vol. 19, pp. 602-611, 2020. (SCI, 中科院2区，3年影响因子：5.990)
[40] Zhen-Hao Guo, Zhu-Hong You（共同第一及通信作者）, Hai-ChengYi, “Integrative Construction and Analysis of Molecular Association Network in Human Cells by Fusing Node Attribute and Behavior Information,” Molecular Therapy - Nucleic Acids, vol. 19, pp. 498-506, 2020. (SCI, 中科院2区，3年影响因子：5.990)
[41] Mei-Neng Wang, Zhu-Hong You（通信作者）, Lei Wang, Li-Ping Li, Kai Zheng, “LDGRNMF: LncRNA-Disease Associations Prediction based on Graph Regularized Non-Negative Matrix Factorization,” Neurocomputing, vol. 424, pp. 236-245, 2020 Feb. doi.org/10.1016/j.neucom.2020.02.062 (SCI, 中科院2区，3年影响因子：3.543)
[42] Kai Zheng, Zhu-Hong You（通作者信）, Lei Wang, Zhen-Hao Guo, “iMDA-BN: Identification of miRNA-disease associations based on the biological network and graph embedding algorithm,” Computational and Structural Biotechnology Journal, vol.18, pp. 2391-2400, 2020 Jan. (SCI, 中科院2区，3年影响因子：4.434)
[43] Hai-Cheng Yi, Zhu-Hong You（通作者信）, Li Cheng, Xi Zhou, Tong-Hai Jiang, Xiao Li, Yan-Bin Wang “Learning distributed representations of RNA and protein sequences and its application for predicting lncRNA-protein interactions,” Computational and Structural Biotechnology Journal, vol.18, pp. 20-26, 2020 Jan. (SCI, 中科院2区，3年影响因子：4.434)
[44] Leon Wong, Yu-An Huang, Zhu-Hong You（通信作者）, Zhan-Heng Chen, Mei-Yuan Cao,“LNRLMI: Linear neighbor representation for predicting lncRNA-miRNA interactions,” Journal of Cellular and Molecular Medicine, vol. 24, no.1, pp. 79-87, 2020 Jan. (SCI, 中科院2区，3年影响因子：4.486)
[45] Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You（尤著宏）,“Learning Multimodal Networks from Heterogeneous Data for Prediction of lncRNA-miRNA Interactions,”IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 14, no. 2, pp.345-352, 2019 DOI: 10.1109/TCBB.2019.**（SCI, 3年影响因子：1.528, 中科院3区）
[46] Han-Jing Jiang, Zhu-Hong You（通信作者）, Yu-An Huang,“Predicting drug？disease associations via sigmoid kernel-based convolutional neural networks,” Journal of translational medicine, vol. 17, no.1, pp. 382, 2019. (SCI, 中科院2区，3年影响因子：4.658)
[47] Kai Zheng, Zhu-Hong You（通信作者）, Lei Wang, Yong Zhou, Li-Ping Li, Zheng-Wei Li,“MLMDA: a machine learning approach to predict and validate MicroRNA–disease associations by integrating of heterogenous information sources,” Journal of translational medicine, vol. 17, no.1, pp. 260, 2019. (SCI, 中科院2区，3年影响因子：4.658)
[48] Zhen-Hao Guo, Zhu-Hong You（共同第一及通信作者）, Wang YanBin, Hai-Cheng Yi, Zhan-Heng Chen,“A Learning-based Method for LncRNA-Disease Association Identification Combing Similarity Information and Rotation Forest,” iScience, vol. 19, pp. 786-795, 2019. (SCI, 中科院2区，影响因子：4.447)
[49] Hai-Cheng Yi, Zhu-Hong You（共同第一及通信作者）, Xi Zhou, Li Cheng, Xiao Li, Tong-Hai Jiang, Zhan-Heng Chen “ACP-DL: A deep learning long short-term memory model to predict anticancer peptides using high efficiency feature representation,” Molecular Therapy - Nucleic Acids, vol. 11, pp. 337-344, 2019. (SCI, 中科院2区，3年影响因子：5.317)
[50] Jianqiang Li, Shulan Wang, Yuan Li, Haiyan Wang, Huiwen Wang, Huihui Wang, Jianyong Chen, Zhu-Hong You（尤著宏）, “An Efficient Attribute-Based Encryption Scheme with Policy Update and File Update in Cloud Computing,” IEEE Transactions on Industrial Informatics, 2019, vol.11, no.4, doi:10.1109/TII.2019.** (SCI，3年影响因子：8.785, 中科院1区)
[51] Lun Hu, Pengwei Hu, Xin Luo, Xiaohui Yuan, Zhu-Hong You（通信作者）,“Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites,”IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 14, no. 2, pp.345-352, 2019（SCI, 3年影响因子：1.528, 中科院3区）
[52] Jia Qu, Xing Chen, Ya-Zhou Sun, Yan Zhao, Shu-Bin Cai, Zhong Ming, Zhu-Hong You（通信作者） , Jian-Qiang Li, “In silico prediction of small molecule-miRNA associations based on HeteSim algorithm,” Molecular Therapy - Nucleic Acids, vol. 14, pp. 274-286, 2019. (SCI, 中科院2区，3年影响因子：5.317)
[53] Xing Chen, Chun-Chun Wang, Jun Yin, Zhu-Hong You（通信作者） , “Novel human miRNA-disease associations inference based on random forest,” Molecular Therapy - Nucleic Acids, vol. 11, pp. 337-344, 2018. (SCI, 中科院2区，3年影响因子：5.317)
[54] Xing Chen, De-Hong Zhang, Zhu-Hong You（通信作者）, “A heterogeneous label propagation approach to explore the potential associations between miRNA and disease,” Journal of Translational Medicine, vol. 16, no.348, 2018 (SCI, 中科院2区，影响因子：3.786)
[55] Zhu-Hong You（尤著宏、第一作者）, Wen-Zhun Huang, Yu-An Huang, Chang-Qing Yu, Li-Ping Li,“An Efficient Ensemble Learning Approach for Predicting Protein-Protein Interactions by Integrating Protein Primary Sequence and Evolutionary Information,”IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.16, no.3, pp. 809-817, 2019 (SCI, 中科院2区，影响因子：2.896)
[56] Lei Wang, Zhu-Hong You（通信作者）, De-Shuang Huang, Fengfeng Zhou,“Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2018.**, 2018(SCI, 中科院2区，影响因子：2.896)
[57] Hai-Cheng Yi, Zhu-Hong You（共同第一及通信作者）, De-Shuang Huang, Xiao Li, Tong-Hai Jiang, Li-Ping Li, “A Deep Learning Framework for Robust and Accurate prediction of ncRNA-Protein Interactions using Evolutionary Information,” Molecular Therapy - Nucleic Acids, vol. 11, pp. 337-344, 2018. (SCI, 中科院2区，3年影响因子：5.317)
[58] Lei Wang, Zhu-Hong You（共同第一及通信作者），Xing Chen, “RFDT: A Rotation Forest-based Predictor for Predicting Drug-Target Interactions using Drug Structure and Protein Sequence Information,” Current Protein & Peptide Science, vol.18, no.12, 2017.（SCI, 3年影响因子：2.641, 中科院3区） 高被引论文
[59] Yanbin Wang, Zhu-Hong You（共同第一及通信作者）, Li-Ping Li, Li Cheng, Xi Zhou, Li-Bo Zhang, Xiao Li, Tong-Hai Jiang, “Predicting Protein Interactions Using a Deep Learning Method Combined Stacked Sparse Autoencoder with Probabilistic Classification Vector Machine” Complexity, vol. 2018, Article ID **, 12 pages, 2018. （SCI, 3年影响因子：3.321, 中科院1区）
[60] Yan-Bin Wang, Zhu-Hong You（共同第一及通信作者）, Xiao Li, Tonghai Jiang, Li Cheng and Zhanheng Chen, “Prediction of Protein Self-Interactions using Stacked Long Short-Term Memory from Protein Sequences Information,” BMC Systems Biology, vol.1, no.1, pp. 1-10, 2018(SCI, 中科院2区，3年影响因子：2.499)
[61] Wenzheng Bao, Zhu-Hong You（共同第一作者）, De-Shuang Huang, “CIPPN: computational identification of protein pupylation sites by using neural network,” Oncotarget, vol.8, no.65, pp. 108867-108879, 2017Dece (SCI, 3年影响因子 5.168 , 中科院大类1区) .
[62] Yu-An Huang, Zhu-Hong You（通信作者）, Xing Chen, Zhi-An Huang, Shanwen Zhang, Gui-Ying Yan, “Prediction of microbe–disease association from the integration of neighbor and graph with collaborative recommendation model,” Journal of Translational Medicine, vol. 15, no.209, 2017 (SCI, 中科院2区，影响因子：3.786)
[63] Yu-An Huang, Zhu-Hong You（共同第一及通信作者）, Li-Ping Li, Zhi-An Huang, Lu-Xuan Xiang, Xiao-Fang Li and Lin-Tao Lv, “EPMDA: an expression-profile based computational model for microRNA-disease association prediction,” Oncotarget, vol.8, no.50, pp. 87033-87043, 2017 (SCI, 3年影响因子 5.168 , 中科院大类1区) .
[64] Zhu-Hong You（尤著宏、第一作者）, Luo-pin Wang, Xing Chen, Shanwen Zhang, Shanwen Zhang, Xiao-Fang Li, Gui-Ying Yan, Zheng-Wei Li, “PRMDA: Personalized Recommendation-based miRNA-Disease Association prediction,” Oncotarget, vol.8, no.49, pp. 85568-85583, 2017 (SCI, 3年影响因子 5.168 , 中科院大类1区) .
[65] Zhengwei Li, Zhu-Hong You（共同第一及通信作者）, Xing Chen, Li-Ping Li, De-Shuang Huang, Gui-Ying Yan, Ru Nie, Yu-An Huang, “Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier,”Oncotarget, vol.8, no.14, pp. 23638-23649, 2017 (SCI, 3年影响因子 5.998 , 中科院大类1区) .
[66] Jian-Qiang Li, Zhi-Hao Rong, Xing Chen, Gui-Ying Yan, Zhu-Hong You（尤著宏）, “MCMDA: Matrix Completion for MiRNA-Disease Association prediction,”Oncotarget, vol.8, no.13, pp. 21187-21199, 2017 (SCI, 3年影响因子 5.998 , 中科院大类1区) . 高被引论文
[67] Zhu-Hong You（尤著宏、第一作者）, Xiao Li, Keith CC Chan,“An Improved sequence-based prediction protocol for protein-protein interactions using amino acids substitution matrix and rotation forest ensemble classifiers,”Neurocomputing, vol.228, pp. 277–282, 2016（SCI, 3年影响因子：2.160, 中科院2区）
[68] Lei Wang, Zhu-Hong You（共同第一及通信作者）, Xing Chen, Jian-Qiang Li, Xin Yan, Wei Zhang, Yu-An Huang,“An ensemble approach for large-scale identification of protein-protein interactions using the alignments of multiple sequences. Oncotarget, vol.8, no.3, pp. 5149-5159, 2017 (SCI, 3年影响因子 5.998 , 中科院大类1区) .
[69] Yu-An Huang, Zhu-Hong You（共同第一及通信作者）, Xing Chen , Guiying Yan ,“Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition,” BMC Systems Biology, vol.10, no.S4, pp. 120, 2016 (SCI, 中科院2区，3年影响因子：2.499)
[70] Yu-An Huang, Zhu-Hong You（共同第一及通信作者）, Xiao Li, Xing Chen, Pengwei Hu, Shuai Li, Xin Luo, “Construction of Reliable Protein-Protein Interaction Networks Using Weighted Sparse Representation Based Classifier with Pseudo Substitution Matrix Representation,” Neurocomputing, vol.218, no.12, pp.131–138, 2016（SCI, 3年影响因子：2.160, 中科院2区）
[71] Xiaoqiang Sun, Jiguang Bao, Xing Chen, Jun Cui, Zhu-Hong You（尤著宏）. "Modeling of signaling crosstalk-mediated drug resistance and its implications on drug combination. Oncotarget, vol.7, no.39, pp. 63995-64006, 2016 (SCI, 3年影响因子 5.998 , 中科院大类1区) .
[72] Yu-An Huang, Xing Chen , Zhu-Hong You（通信作者）, De-Shuang Huang, Keith Chan.“ILNCSIM: improved lncRNA functional similarity calculation model,” Oncotarget. vol.7, no.18, pp. 25902–25914, 2016. (SCI, 3年影响因子 5.998 , 中科院大类1区) . 高被引论文
[73] Xing Chen, Yu-An Huang, Xue-Song Wang, Zhu-Hong You（通信作者）, Keith Chan. “FMLNCSIM: Fuzzy Measure-based lncRNA functional similarity calculation model,” Oncotarget, vol.7, no.29, pp. 45948-45958, 2016. (SCI, 3年影响因子 5.998 , 中科院大类1区)
[74] Ji-Yong An, Zhu-Hong You（共同第一及通信作者）, Xing Chen, De-Shuang Huang, and Yin Wang, “Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix,” Oncotarget, vol.7, no.50, pp. 82440-82449, 2016. (SCI, 3年影响因子 5.998 , 中科院大类1区) .
[75] Xing Chen, Chenggang Clarence Yan, Xu Zhang, Zhu-Hong You（尤著宏）, “HGIMDA: Heterogeneous Graph Inference for MiRNA-Disease Association prediction,” Oncotarget, vol.7, no.40, pp. 65257-65269, 2016 (SCI, 3年影响因子 5.998 , 中科院大类1区) .
[76] Xing Chen, Zhu-Hong You（通信作者）, Gui-Ying Yan, Dun-Wei Gong. “IRWRLDA: Improved Random Walk with Restart for LncRNA-Disease Association prediction,”Oncotarget, vol.7, no.36, pp. 57919-57931, 2016. (SCI, 3年影响因子 5.998 , 中科院大类1区)
[77] Yu-An Huang, Zhu-Hong You（共同第一及通信作者）, Xing Chen，Li-Guang Huang “Sequence-based Prediction of Protein-Protein Interactions Using Weighted Sparse Representation Model Combined with Global Encoding,” BMC Bioinformatics, vol.17, no.1, pp 184, 2016（SCI, 3年影响因子：2.561, 中科院2区） 高被引论文
[78] Xiao-Rui Su, Zhu-Hong You（通信作者）, Hai-Cheng Yi, " Prediction of lncRNA-disease associations based on network representation learning," 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South), 2020, pp 1805-1812, 2020 (EI)
[79] Kai Zheng, Zhu-Hong You（通信作者）, Lei Wang, Yi-Ran Li, Yan-Bin Wang, Han-Jing Jiang, " MISSIM: Improved miRNA-Disease Association Prediction Model Based on Chaos Game Representation and Broad Learning System," Lecture Notes in Computer Science, vol. 11645, pp 392-398, 2019 (EI)
[80] Lei Wang, Zhu-Hong You（共同第一及通信作者）, Xing Chen, Shi-Xiong Xia, Feng Liu, Xin Yan, Yong Zhou, “Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network,” International Symposium on Bioinformatics Research and Applications (ISBRA). Honolulu, USA, pp. 46-58, 2017 (EI)