简介(Biography)：

欧阳乐，理学博士，于2015年获中山大学概率论与数理统计专业统计模式识别方向博士学位。2013年10月至2014年4月在新加坡南洋理工大学计算机科学系访问。2015-2016年在香港城市大学电子工程系从事博士后研究。2016年加入深圳大学信息工程学院，2017年被认定为深圳市海外高层次人才“孔雀计划”C类人才。主要从事机器学习、数据挖掘和生物信息学等领域研究。目前主持国家自然科学基金青年项目1项，深圳市基础研究项目1项。已在Bioinformatics、BMC Bioinformatics、BMC Genomics、IEEE/ACM Transactions on Computational Biology and Bioinformatics、Methods、Molecular BioSystems、Scientific Reports等国际期刊发表论文23篇，在IEEE BIBM, APBC等国际会议发表学术论文2篇，获得授权专利1项。

Le Ou-Yang received the Ph.D. degree from Sun Yat-sen University, Guangzhou, in 2015. He is currently an assistant professor with the College of Information Engineering, Shenzhen University, Shenzhen, China. His research interests include machine learning, data mining and bioinformatics.

联系方式(Contact):

邮箱: leouyang@szu.edu.cn

电话：0755－26659561

地址：深圳市南山区白石路深圳大学信息工程学院N802

研究兴趣(Research Interests)：

• 机器学习、数据挖掘、生物信息学；

• Machine Learning, Data Mining, Bioinformatics.

主讲课程(Teaching Courses)：

C语言、复变函数、机器学习。

获奖与荣誉(Honors)：

• 2011年获中山大学优秀研究生

• 2013年获博士研究生国家奖学金

• 2017年获深圳市海外高层次人才（孔雀计划）C类

• 2017年获深圳市南山区“领航人才”C类

主要学术兼职(Academic Service)

• IEEE HPCC 2018 PC member

• GIW 2018 PC member

科研项目(Research Projects)：

• 国家自然科学基金青年基金项目“基于异构泛癌症组学数据的生物标志物识别研究” （1-2019.12），61602309。

• 深圳市科技计划基础研究项目“基于概率图模型的医学大数据挖掘与算法研究”（3-2020.3）

学术成果(Publications)

部分期刊论文Some Selected Journal Papers

• Jia-Juan Tu,Le Ou-Yang, Xiaohua Hu, Xiao-Fei Zhang, “Identifying gene network rewiring by combining gene expression and gene mutation data”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, accepted.

• Ting Xu,Le Ou-Yang, Xiaohua Hu, Xiaofei Zhang, “Identifying gene network rewiring by integrating gene expression and gene network data”, IEEE/ACM Transactions on Computational Biology and Bioinformatics,

• Le Ou-Yang, Xiao-Fei Zhang, Min Wu, Xiao-Li Li, “Node-based learning of differential networks from multi-platform gene expression data”, Methods, vol. 129, pp. 41-49, 2017.

• Xiao-Fei Zhang,Le Ou-Yang(通讯作者), Shuo Yang, Xiaohua Hu, Hong Yan, “DiffGraph: An R package for identifying gene network rewiring using differential graphical models”, Bioinformatics, vol. 34, no. 9, pp. 1571-1573, 2017.

• Rui Guo, Yan-Ran Li, Shan He,Le Ou-Yang, Yiwen Sun, Zexuan Zhu, “RepLong: de novo repeat identification using long read sequencing data”, Bioinformatics, vol. 34, no. 7, pp. 1099-1107, 2017.

• Xiao-Fei Zhang,Le Ou-Yang(通讯作者), Hong Yan, “Incorporating prior information into differential network analysis using nonparanormal graphical models”, Bioinformatics, vol. 33, no. 16, pp. 2436-2445, 2017.

• Le Ou-Yang, Hong Yan, Xiao-Fei Zhang, “A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks”, BMC Bioinformatics, vol. 18, no. 13, p 463, 2017.

• Le Ou-Yang, Hong Yan, Xiao-Fei Zhang, “Identifying differential networks based on multi-platform gene expression data”, Molecular BioSystems, vol. 13, no. 1, pp. 183-192, 2017.

• Xiao-Fei Zhang,Le Ou-Yang(通讯作者), Xing-Ming Zhao, Hong Yan, “Differential network analysis from cross-platform gene expression data”, Scientific Reports, vol. 6, p 34112, 2016.

• Le Ou-Yang, Xiao-Fei Zhang, Dao-Qing Dai, Meng-Yun Wu, Yuan Zhu, Zhiyong Liu, Hong Yan, “Protein complex detection based on partially shared multi-view clustering”, BMC Bioinformatics, vol. 17, no. 1, p 371, 2016.

• Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiao-Li Li, Hong Yan, “A Two-Layer Integration Framework for Protein Complex detection”, BMC Bioinformatics, vol. 17, no. 1, p 100, 2016.

• Le Ou-Yang, Dao-Qing Dai, Xiao-Fei Zhang, “Detecting protein complexes from signed protein-protein interaction networks”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, no. 6, pp. 1333-1344, 2015.

• Le Ou-Yang, Dao-Qing Dai, Xiao-Li Li, Min Wu, Xiao-Fei Zhang, Peng Yang, “Detecting temporal protein complexes from dynamic protein-protein interaction networks”, BMC Bioinformatics, vol. 15, no. 1, p 335, 2014.

• Le Ou-Yang,Dao-Qing Dai, Xiao-Fei Zhang, “Protein complex detection via weighted ensemble clustering based on Bayesian nonnegative matrix factorization”, PLoS ONE, vol. 8, no. 5, p e62158, 2013.

部分会议论文Some Selected Conference Papers

• LeOu-Yang, Hong Yan and Xiao-Fei Zhang, Identifying protein complexes via multi-network clustering. Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on. IEEE, 2016.

专利Patents

• 欧阳乐，戴道清，张晓飞，蛋白质复合体挖掘的加权组装聚类方法，国家发明专利，专利号：CN 201310104854X