学术报告

报告题目：Mix Sparse Optimization: Theory and Applications

报告人：胡耀华 教授, 深圳大学

联系人：陈加伟 教授

报告时间：2025年3月15日10：00-12:00

报告地点：数学大楼916

参加人员：教师、研究生、本科生

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，先后主持国家自然科学基金优秀青年科学基金等10余项国家与省市级科研项目。