Myung Jin Choi

I am currently pursuing my Ph. D.  in the Department of EECS at MIT, working with Professor Alan Willsky as a member of Stochastic Systems Group in the Laboratory for Information and Decision Systems.   I did my undergraduate work at Seoul National University (SNU) in South Korea majoring in EECS, and also spent a year at University of California, Santa Barbara as an extension student during my second year of undergraduate studies.  My research interests include statistical signal processing and machine learning, and in particular, multiscale Markov Random Fields for large-scale inference.

Resume

Object Recognition using Hierarchical Models (December 2008 ~ )
Multiresolution Models with sparse Markov and Covariance Structure (December 2007 ~ June 2009)
Learning Multiscale Graphical Models using Maximum Entropy Relaxation (September 2007 ~ December 2007)
Multiscale Gaussian Graphical Models and Algorithms for Large-Scale Inference (January 2006 ~ June 2007)
Conditional Random Fields with Local Regularities (Microsoft Internship Project, June 2007 ~ August 2007)
Video Key Frame Extraction and Sequence Matching (Undergraduate Project, January 2004 ~ July 2004)

Journal and Conference Papers

Myung Jin Choi, Venkat Chandrasekaran, and Alan S. Willsky,  "Exploiting Sparse Markov and Covariance Structure in Multiresolution Models," to appear in Proceedings of the International Conference on Machine Learning (ICML), Montreal, Canada, June 2009. ( Longer techinical report )
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin Choi and Alan S. Willsky, "Low-Rank Variance Approximation in GMRF Models: Single and Multi-Scale Approaches," IEEE Transactions on Signal Processing, Vol. 56, pp. 4621-4634, Oct. 2008.
Myung Jin Choi, Venkat Chandrasekaran, Dmitry M. Malioutov, Jason K. Johnson, and Alan S. Willsky, "Multiscale Stochastic Modeling for Tractable Inference and Data Assimilation," Computer Methods in Applied Mechanics and Engineering, Vol. 197, August 2008, pp. 3492-3515.  pdf
Myung Jin Choi, Venkat Chandrasekaran, and Alan S. Willsky,  "Maximum Entropy Relaxation for Mutiscale Graphical Model Selection," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2008, Las Vegas, Nevada.  slides
Myung Jin Choi and Alan S. Willsky, "Multiscale Gaussian Graphical Models and Algorithms for Large-Scale Inference", IEEE 2007 Statistical Signal Processing Workshop, Madison, Wisconsin, August 2007.


Theses

Myung Jin Choi, "Multiscale Gaussian Graphical Models and Algorithms for Large-Scale Inference," S.M. thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, June 2007.

Last Updated: April 2009