报告题目：Mix Sparse Optimization: Theory and Applications

报 告 人：胡耀华教授（深圳大学）

报告时间：2025年11月13日周四下午15:30

报告地点：广东工业大学龙洞校区行政楼610

报告摘要：Structured sparse optimization has been extensively applied in the modelling of many important problems in various disciplines. The mix sparse structure is inherited in a wide class of practical applications, namely, the sparse structure appears as the inter-group and intra-group manners simultaneously. In this talk, we will discuss the nonconvex regularization method for mix sparse optimization problem, as well as a first-order iterative algorithm, and present its consistency theory, asymptotic theory and convergence theory. Applications of mix sparse optimization method to gene regulatory networks and differential optical absorption spectroscopy will be presented.

报告人简介：胡耀华，先后于浙江大学获得学士与硕士学位，香港理工大学获得博士学位。现任深圳大学数学科学学院特聘教授，副院长，博士生导师，香港理工大学兼职博导。主要从事连续优化理论、方法与应用研究，代表性成果发表在SIAM Journal on Optimization, Mathematical Programming, Inverse Problems, Journal of Machine Learning Research, Bioinformatics等期刊，授权多项国家发明专利，开发多个生物信息学工具包。