肖球

个人简介
     肖球，博士，副教授，硕士生导师，芙蓉计划-湖湘青年英才、湖南省青年科技人才（荷尖）、太阳集团tyc539“世承人才计划”青年优秀人才、湖南省优秀博士学位论文获得者。主要从事人工智能、生物医药大数据挖掘、智能计算与生物信息处理等领域研究；荣获IEEE计算机协会（IEEE Computer Society）2020年度最佳论文Winner奖（全球共20篇入选）、湖南省计算机学会科学技术奖三等奖（1/3）、湖南大学优秀博士学位论文、湖南省优秀博士学位论文等奖励。主持国家自然科学基金、湖南省“三尖”创新人才工程（荷尖）项目、湖南省自然科学基金、省教育厅优秀青年项目、中国博士后科学基金等课题，在Bioinformatics、Briefings in Bioinformatics、IEEE JBHI、IEEE-ACM TCBB、BIBM等国际期刊和会议上发表论文40余篇，担任Bioinformatics、Briefings in Bioinformatics、TCBB等期刊审稿人，教育部学位与研究生教育发展中心论文评审专家，中国计算机学会（CCF Senior Membership）高级会员、中国人工智能学会（CAAI）会员，中国生物工程学会计算生物学与生物信息学专业委员会委员。

联系方式：xiaoqiu@hunnu.edu.cn  
        欢迎勤勉自律、上进好学，有一定编程和算法基础，对科研具有浓厚兴趣的计算机、软件工程等相关专业同学报考（计算机科学与技术学硕、电子信息专硕）研究生。
研究方向：智能计算、生物医药大数据挖掘、生物信息处理等领域。
代表性论文：
[1] Xiao, Q., Dai, J. and Luo, J. (2022) A survey of circular RNAs in complex diseases: databases, tools and computational methods. Brief Bioinform, 23(1): bbab444. (IF: 13.994, Top Journal)
[2] Xiao, Q., Zhang, N., Luo, J., Dai, J. and Tang, X. (2021) Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs. Brief Bioinform, 22, 2043-2057. (IF: 13.994, Top Journal)
[3] Zhong, J., Tang, C., Peng, W., Xie, M., Sun, Y., Tang, Q., Xiao, Q.* and Yang, J.* (2021) A novel essential protein identification method based on PPI networks and gene expression data. BMC Bioinformatics, 22, 248.
[4] Yang, Y., Xie, M., Yuan, S., Zeng, Y., Dong, Y., Wang, Z., Xiao, Q.*, Dong, B.*, Ma, J. and Hu, J. (2021) Sex differences in the associations between adiposity distribution and cardiometabolic risk factors in overweight or obese individuals: a cross-sectional study. BMC Public Health, 21, 1232.
[5] Xiao, Q., Fu, Y., Yang, Y., Dai, J. and Luo, J. (2021) NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning. Brief Bioinform, 22, bbab177. (IF: 13.994, Top Journal)
[6] Ding, P., Liang, C., Ouyang, W., Li, G., Xiao, Q. and Luo, J. (2021) Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE/ACM Trans Comput Biol Bioinform, 18, 1562-1571.
[7] Xiao, Q., Zhong, J., Tang, X. and Luo, J. (2021) iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completion. Mol Genet Genomics, 296, 223-233.
[8] Xiao, Q., Luo, J., Liang, C., Li, G., Cai, J., Ding, P. and Liu, Y. (2020) Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE/ACM Trans Comput Biol Bioinform, 17, 623-634.
[9] Xiao, Q., Yu, H., Zhong, J., Liang, C., Li, G., Ding, P. and Luo, J. (2020) An in-silico method with graph-based multi-label learning for large-scale prediction of circRNA-disease associations. Genomics, 112, 3407-3415.
[10] Tang, X., Xiao, Q. and Yu, K. (2020) Breast Cancer Candidate Gene Detection Through Integration of Subcellular Localization Data With Protein–Protein Interaction Networks. IEEE Trans Nanobiosci, 19, 556-561.
[11] Xiao, Q., Luo, J. and Dai, J. (2019) Computational Prediction of Human Disease-associated circRNAs Based on Manifold Regularization Learning Framework. IEEE J Biomed Health Inform, 23, 2661-2669.
[12] Xiao, Q., Luo, J., Liang, C., Cai, J., Li, G. and Cao, B. (2019) CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer. BMC Bioinformatics, 20, 67.
[13] Xiao, Q., Dai, J., Luo, J. and Fujita, H. (2019) Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs. Knowledge-Based Systems, 175, 118-129.
[14] Zhu, Q., Luo, J., Ding, P. and Xiao, Q. (2018) GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network. International Symposium on Bioinformatics Research and Applications, Cham, pp. 13-25.
[15] Xiao, Q., Luo, J., Liang, C., Cai, J. and Ding, P. (2018) A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinformatics, 34, 239-248. (ESI 高被引, Top Journal)