This picture was taken in February when I travelled to San Francisco to escape Seattle's gloomy weather.
My research focuses on high-viscosity fluid simulation and other physics-based animations. Besides, I have a great interest in machine learning and data mining.
Teaching assistant is a role I love to play during my graduate study. Util now, I have TA'ed CS350 (Operating Systems), CS370 (Numerical Computation) and CS 116 (Introduction to Computer Science). I am TAing CS 350 again this semester.
In 2016, I spent most of my time in US and worked for two different software companies. From January to May, I interned at the EC2 security development team of Amazon web services in Seattle. Then, moved to a place with more sunshine, Mountain View in California (actually, I did not see any rain when I was there), and worked on the search infrastructure at Google for another 3 months.
This is my Master thesis project. The basic idea is to use a novel adaptive mesh refinement (AMR) strategy to accurately simulate high-viscosity fluid in both 2D and 3D. More results will be presented here when the project is done. Currently, I maintain this blog to keep track of the research progress.
Worked with two graduate students and developed an effective document retrieval system which improves recall by 20% compared to the state-of-the-art technology. Applied clustering based seed selection method, extended n-gram features and continuous query expansion. The results were presented in the Text Retrieval Conference (TREC) 2015.Presentation Slides Conference Paper
Room 3594, Davis Centre
School of Computer Science
University of Waterloo, Ontario