Teaching

Undergraduate level

Deep Learning and Computer Vision

I am teaching the undergraduate level course “Deep Learning and Computer Vision” this 2021 Fall semester, together with Prof. Xinggang Wang (https://xinggangw.info), below are the assignments/mini-projects aiming to improve your theoretical understanding and practical (coding) skills.


Graduate level

Random Matrix Theory and Its Application in Large-Scale Systems

I am teaching the graduate (and Ph.D.!) level source “Random Matrix Theory and Its Application in Large-Scale Systems” this 2022 Spring semester, together with Prof. Tiebin Min and Prof. Caiming Qiu, see a few introductory slides here and course final project here.