Myung "Jin" Choi

I received my Ph. D.  in the Department of EECS at MIT. While at MIT, I worked 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, machine learning, and object recognition.

I am now working at Two Sigma Investments.

Resume

Journal Papers

"Context Models and Out-of-context Objects" [Project Webpage]
Myung Jin Choi, Antonio Torralba, and Alan S. Willsky
To appear in Pattern Recognition Letters, 2012.

"Learning Latent Tree Graphical Models" [Project Webpage]
Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, and Alan S. Willsky
Journal of Machine Learning Research (JMLR), Vol. 12, pp. 1771-1812. May 2011.

"A Tree-based Context Model for Object Recognition" [Project Webpage]
Myung Jin Choi, Antonio Torralba, and Alan S. Willsky
To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence, February 2012.

"Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure"
Myung Jin Choi, Venkat Chandrasekaran, and Alan S. Willsky
IEEE Transactions on Signal Processing, Vol. 58, pp. 1012-1024, March 2010.

"Low-Rank Variance Approximation in GMRF Models: Single and Multi-Scale Approaches" [pdf]
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin Choi, and Alan S. Willsky
IEEE Transactions on Signal Processing, Vol. 56, pp. 4621-4634, October 2008.

"Multiscale Stochastic Modeling for Tractable Inference and Data Assimilation," [pdf]
Myung Jin Choi, Venkat Chandrasekaran, Dmitry M. Malioutov, Jason K. Johnson, and Alan S. Willsky
Computer Methods in Applied Mechanics and Engineering, Vol. 197, August 2008, pp. 3492-3515.

Conference Papers

"Consistent and Efficient Reconstruction of Latent Tree Models" [Project Webpage] [Slides]
Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, and Alan S. Willsky
Allerton Conference, 2010.

"Exploiting Hierarchical Context on a Large Database of Object Categories" [Project Webpage]
Myung Jin Choi, Joseph J. Lim, Antonio Torralba, and Alan S. Willsky
2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

"Exploiting Sparse Markov and Covariance Structure in Multiresolution Models," [Slides]
Myung Jin Choi, Venkat Chandrasekaran, and Alan S. Willsky
in Proceedings of the International Conference on Machine Learning (ICML), Montreal, Canada, June 2009.

"Maximum Entropy Relaxation for Mutiscale Graphical Model Selection," [Slides]
Myung Jin Choi , Venkat Chandrasekaran, and Alan S. Willsky
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2008, Las Vegas, Nevada.

"Multiscale Gaussian Graphical Models and Algorithms for Large-Scale Inference"
Myung Jin Choi and Alan S. Willsky
IEEE 2007 Statistical Signal Processing Workshop, Madison, Wisconsin, August 2007.

Theses

"Trees and Beyond: Exploiting and Improving Tree-structured Graphical Models"
Ph.D. thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, February 2011.
Sprowls Best Thesis Award in Computer Science

"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: December 2011