应数学与统计学院邀请，中国科学院数学与系统科学研究院刘亚峰博士于2015.10.7-2015.10.9日访问我校进行科研合作交流活动。
报告题目： A Scalable Frank-Wolfe based Augmented Lagrangian Method for Linearly Constrained Composite Convex Programming
报告时间： 2015年10月8日（星期四）下午4:30
报告地点： 理科楼407         
         
刘亚峰博士个人简历:
     Ya-Feng Liu (刘亚锋) received the B.Sc. degree in Applied Mathematics in 2007 from Xidian University, Xi'an, China, and the Ph.D degree in Computational Mathematics in 2012 from the Chinese Academy of Sciences (CAS). During his Ph.D study, he was supported by the Academy of Mathematics and Systems Science, CAS to visit Professor Zhi-Quan (Tom) Luo at the University of Minnesota (Twins Cities) from February 2011 to February 2012. After his graduation, he joined the Institute of Computational Mathematics and Scientific/Engineering Computing, Beijing, China in July 2012, and he is currently an assistant professor there. His main research interests are nonlinear optimization and its applications to signal processing, wireless communications, and machine learning. He is especially interested in characterizing the computational complexity of and designing efficient algorithms for optimization problems arising from these applications.

Dr. Liu is a recipient of the Best Paper Award from the IEEE International Conference on Communications (ICC) in 2011 and the Best Student Paper Award from the International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) in 2015.