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.
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.
|
2009-Present | Ph.D. Candidate |
| 2007-2009 | M.A. | |
| Electrical Engineering, Princeton University | ||
| Advisor: Prof. Peter J. Ramadge | ||
|
2003-2007 | B.E. |
| Electrical Engineering, Tsinghua University | ||
| With honors. GPA Rank: 1/164 | ||
| 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 | |
Email Address:
Mailing Address:
Dept. of Electrical Engineering
Engineering Quadrangle
Princeton, NJ 08544
|
Art of science. |
|
Extended tetris game. |
|
Landscape photography. |