報告題目：Mix Sparse Optimization: Theory and Applications
報 告 人：胡耀華 教授 深圳大學
報告時間：2024年4月19日 下午03：00
報告地點：數學樓第二報告廳
校内聯系人：李欣欣 xinxinli@jlu.edu.cn
報告摘要：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.
報告人簡介：胡耀華，先後于浙江大學獲得學士與碩士學位，香港理工大學獲得博士學位。現任深圳大學數學科學學院特聘教授，副院長，博士生導師，香港理工大學兼職博導，兼任中國運籌學會數學規劃分會青年理事，中國運籌學會科普工作委員會委員，廣東省運籌學會副理事長。主要從事連續優化理論、方法與應用研究，代表性成果發表在SIAM Journal on Optimization, Inverse Problems, Journal of Machine Learning Research, Bioinformatics等期刊，授權多項國家發明專利，開發多個生物信息學工具包，先後主持國家自然科學基金優秀青年科學基金等10餘項國家與省市級科研項目。
