My research interests span various structured prediction problems in computer vision, such as object detection and pose estimation. I enjoy exploring solutions to such problems using statistical learning techniques.
I obtained my Master of Science degree in computer science from
Boston University in January 2014, and my
Bachelor of Engineering degree (with honors) in computer science and engineering from
Zhejiang University in June 2010.
I spent an enjoyable Fall 2013 as a research intern working with
Dr. Leon Sigal at Disney Research Pittsburgh,
focusing on simultaneous object detection and continuous pose estimation.
During that time I was also fortunate to work with
Prof. Yisong Yue and Dr. Sarah Taylor
using structured learning.
In spring 2014 I was a visiting PhD student at Brown University, collaborating with Prof. Pedro Felzenszwalb's group.
Jun - Sep 2015: I will do a second internship at Disney Research Pittsburgh.
Sep 24, 2014: Passed PhD oral exam. Slides
Jun 2014: One paper accepted by ECCV 2014
Stochastic Functional Descent for Learning Support Vector Machines
Scale Resilient, Rotation Invariant Articulated Object Matching
Teaching fellow for CAS CS542 - Machine Learning, Spring 2015
Teaching assistant for CAS CS542 - Machine Learning, Spring 2013
Teaching fellow for CAS CS103 - Introduction to Internet Technologies and Web Programming, Spring 2012