PhD candidate in computer science, member of
Image and Video Computing Group,
advised by Prof. Stan Sclaroff.
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'm also very interested in the optimization aspect (stochastic, non-convex, etc.) in computer vision and machine learning problems.
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 two enjoyable research internships during Fall 2013 and Summer 2015 working with
Dr. Leon Sigal at Disney Research Pittsburgh, on projects related to object recognition.
During the 2013 internship 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.
Jan 2016: new tech report on the structural SVM solver in ECCV’14 paper is available
Spring 2016: I'm serving as teaching fellow again for CS542 (Machine Learning)
Stochastic Functional Descent for Learning Support Vector Machines
Scale Resilient, Rotation Invariant Articulated Object Matching
Tech report on the implementation of the dual structural SVM solver in ECCV’14 paper
Slides for my doctoral oral exam on weakly-supervised object detection, Sep 2014
Teaching fellow for CAS CS542 - Machine Learning, Spring 2016
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