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Ph.D. Dissertation Defense - Liangbei Xu

Event Details

Monday, December 9, 2019

12:30pm - 2:30pm

Room C1015, CODA

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Event Details

TitleDynamic Low-rank Matrix Recovery: Theory and Applications


Dr. Mark Davenport, ECE, Chair , Advisor

Dr. Justin Romberg, ECE

Dr. Christopher Rozell, ECE

Dr. Yao Xie, ISyE

Dr. Mary Wootters, Stanford


The purpose of this work is to provide both theoretical understanding of and practical algorithms for dynamic low-rank matrix recovery. Although the benefits of exploiting dynamics in low-rank matrix recovery have been observed in many applications, the theoretical understanding of and justification for these methods is limited. This dissertation concerns two widely-used dynamics models in the context of low-rank matrix recovery: random walk dynamics and measurement induced dynamics.  


Last revised December 3, 2019