搜索
报告题目：Sparse Optimization and Gene Regulatory Networks
报 告 人：胡耀华，深圳大学
报告摘要：Sparse optimization, aiming to find sparse solutions of linear inverse problems, is a popular research topic in applied mathematics and optimization, and nonconvex sparse optimization methods have been shown to enjoy efficient and robust sparsity promotion capability in vast applications. Gene regulatory networks is a fundamental tool in systems biology and biochemistry, while inferring gene regulatory networks from gene expression data at whole genome level is an arduous challenge. In this talk, we will build up a bridge between sparse optimization and gene regulatory networks, and propose several nonconvex sparse optimization models for gene regulatory networks with different structures. Moreover, we will present the mathematical theory for nonconvex sparse optimization problems, including the consistency theory, the asymptotic theory and the stability theory of the model and the convergence theory of first-order iterative methods.
报告人简介：胡耀华，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。获得国家优秀青年科学基金、深圳市杰出青年科学基金，入选深圳市海外高层次人才、深圳大学荔园优青。主要从事数学优化理论、算法与应用研究，在非凸稀疏优化方法与交叉学科应用方面取得了一系列学术成果，在SIAM J. Optim., Inverse Probl., J. Mach. Learn. Res., Brief. Bioinform.等国际学术刊物发表学术论文40余篇，授权3项国家发明专利，开发多个生物信息学工具包与网页服务器，先后主持国家自然科学基金4项，省市级科研项目10余项。
报告时间：2025年4月15日 15:00-16:30
报告地点：文渊楼B119教室
主办单位：红足1世66814
学院宣传片
