Jeongmin ChaE
chaej@usc.edu
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Hi, I'm currently pursing my Ph.D degree, it's my 3rd year!, with Prof. Urbashi Mitra at University of Southern California (USC) in Electrical and Computer Engineering. Before this, I was fortunated to be advised by Prof. Song nam Hong. My research interests span the areas of Data Science, Machine Learning, and Statistical Signal Processing.
Specifically, I am interested in the discovery of simple yet expressive models, and the development of flexible and scalable algorithmic frameworks, accompanied by efficient and portable software tools. Currently I am focused on sketching algorithms on big data with limited observation and side information and randomized matrix approximation algorithms. During summer 2023, I am working as R&D data science intern in Dow for synthetic data generation.
In my free time, I am a big food & travel enthusiastic - especially, national parks, south eastern countries. I am outdoorsy, love biking, hiking, yoga and tennis! Ever since I moved to US, I became a big fan of NFL and NBA.
News
I will present my work '' Column based matrix approximation with quasi-polynomial structure'' at International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023 on June!
J.Chae, P. Narayanamurthy, S.Bac, S.M.Sharada, and U.Mitra, "Matrix Approximation with Side Information : When Column Sampling is Enough", in major revision, IEEE Transaction on Signal Processing
S. Hong and J. Chae, "Communication-Efficient Randomized Algorithm for Multi-Kernel Online Federated Learning," IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 16.389).
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