Sewoong Oh Ph.D. Candidate  Information Systems Lab Electrical Engineering Stanford University Advisor : Professor Andrea Montanari Email: swoh at stanford dot edu

CV

Background

Sewoong Oh is a Ph.D. candidate at the department of Electrical Engineering at Stanford University. He works with Professor Andrea Montanari in the area of coding theory and machine learning. He received his Master's degree in Electrical Engineering from Stanford University in June 2007. He graduated from Seoul National University, Korea, with a Bachelor of Science in Electrical Engineering in 2002.

Research

• Matrix Completion

• LDPC code

Publications

• "Sensor Network Localization from Local Connectivity : Performance Analysis for the MDS-MAP Algorithm"
  Sewoong Oh, Amin Karbasi and Andrea Montanari.
  Information Theory Workshop, January 2010
  

• "Generating Random Tanner-graphs with Large Girth"
  Mohsen Bayati, Raghunandan H. Keshavan, Andrea montanari, Sewoong Oh, and Amin Saberi.
  Information Theory Workshop, October 2009
  

• "OptSpace: A Gradient Descent Algorithm on Grassman Manifold for Matrix Completion"
  Raghunandan Keshavan and Sewoong Oh.
  Submitted to IEEE Trans. on Signal Processing, October 2009
  [software]

• "Low-rank Matrix Completion with Noisy Observations: a Quantitative Comparison"
  Raghunandan Keshavan, Andrea Montanari and Sewoong Oh.
  Allerton conference on Communications, Control and Computing, September 2009
  [software] [slides]

• "Matrix Completion from Noisy Entries"
  Raghunandan Keshavan, Andrea Montanari and Sewoong Oh.
  Submitted, 2009
  [software] [short version submitted to NIPS 2009]

• "Matrix Completion from a Few Entries"
  Raghunandan Keshavan, Andrea Montanari and Sewoong Oh.
  Submitted to IEEE Trans. on Info. Theory, 2009
  [software] [short version submitted to ISIT 2009] [slides]

• "Learning low rank matrices from O(n) entries"
  Raghunandan Keshavan, Andrea Montanari and Sewoong Oh.
  Allerton conference on Communications, Control and Computing, September 2008
  An [animation] about low rank matrices.

• "Computing the threshold shift for general channels"
  Jeremie Ezri, Andrea Montanari, Sewoong Oh and Ruediger Urbanke.
  ISIT, Toronto, July 2008 [slides]

• "The Slope Scaling Parameter for General Channels, Decoders and Ensembles"
  Jeremie Ezri, Andrea Montanari, Sewoong Oh and Ruediger Urbanke.
  ISIT, Toronto, July 2008

Personal

• [Courses] I've taken at stanford.

• [Group] under construction.