报告人：胡耀华副教授

报告题目：Mix Sparse Optimization: Theory and Applications

摘要：In this talk, we will consider a mix sparse optimization problem, that is, sparsity structures at intra-group and inter-group levels are considered simultaneously. This mix sparse structure widely appears in various applications. For the mix sparse optimization problem, we will discuss the nonconvex regularization method, as well as a first-order iterative algorithm, and present its consistency theory, asymptotic theory and convergence theory. Applications to gene regulatory networks and differential optical absorption spectroscopy will be presented.

报告人简介：胡耀华，先后获得浙江大学学士和硕士学位，香港理工大学博士学位（师从杨晓琪教授），现任深圳大学数学与统计学院副教授，硕士生导师，香港理工大学兼职博士生导师，兼任中国运筹学会－数学规划分会青年理事，广东省运筹学会理事，大湾区金融数学建模竞赛专家组成员、深圳杯数学建模挑战赛专家委员会委员。主要从事连续优化理论与应用研究，主持国家自然科学基金3项，省市级科研项目多项。在SIAM Journal on Optimization, Journal of Machine Learning Research, Inverse Problems, European Journal of Operational Research等国际学术期刊发表40余篇论文，授权3项发明专利，开发多个生物信息学工具包/网页服务器。

报告时间：2021年12月15号上午9:00-11:00

报告形式：腾讯会议；会议号：300250215