Welcome

to my homepage. I am a final year Ph.D. student at Princeton University advised by Prof. Peter Ramadge. I am a member of the Ramadge Research Group. I have a strong interest in machine learning: Our modern society is blessed with the ability to acquire massive amounts of data, but challenged by the difficulty of turning this data into useful information. My long-term goal is to provide a fundamental understanding of how this challenge can be met.

Research and Publications

My Ph.D. research builds on the concept of "sparse representation". I study how additional structure can be incorporated with sparsity to improve various signal/data representation, denoising and classification algorithms. This work falls into the following 3 areas:

1. Learning sparse dictionary representations efficiently.

2. Connecting the structured sparsity of decision trees with wavelet coefficients and Besov space, for a coherent understanding of edge preservation in image denoising.

3. Improved boosting algorithms for sparse and structured fMRI voxel selection.

Education

Princeton 2009-Present Ph.D. Candidate
2007-2009 M.A.
Electrical Engineering, Princeton University
Advisor: Prof. Peter J. Ramadge
Tsinghua 2003-2007 B.E.
Electrical Engineering, Tsinghua University
With honors. GPA Rank: 1/164

Selected Academic Honors

Charlotte Elizabeth Procter Fellow 2011-2012
Honorific Fellowship, Princeton University
Francis Robin Upton Fellow 2007-2011
Princeton University
Outstanding Fellow (top 2%) 2003-2007
Awarded 4 years in a row, Tsinghua University
IMO Gold Medalist 2003
Tokyo, Japan. Worldwide Rank: 12/457

Contact

Email Address:
email address

Mailing Address:
Dept. of Electrical Engineering
Engineering Quadrangle
Princeton, NJ 08544

Miscellaneous/Fun

Art of Science Art of science.
5tris Extended tetris game.
Photography Landscape photography.

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