I am a Ph.D. student in the Department of ECE at the University of Wisconsin-Madison, working on an open-source library, Taskflow, and advised by Prof. Tsung-Wei Huang. My current research focuses on high performance, parallel and heterogeneous computing. I used to investigated in varius projects including edge computing, data analysis, privacy protection and streaming system. During my leisure time, I enjoy playing badminton.
Taskflow helps C++ developers quickly and efficiently write parallel and heterogeneous programs with high performance and simultaneous high productivity. AsyncTask allows users to explore dynamic task graph parallelism in their applications. Pipeflow provides an efficient pipeline scheduling framework. syclFLow allows users to write GPU codes using single source programming model SYCL easily.
A floor planner that maps a 3-D physical finite element model onto a 2-D grid of processing units in a supercomputer.
Energy efficient edge computing devices reduce power consumption of wildlife classification platform in Arctic tundra.
Parallel simulations calculate power data, two-dimension materials and soil classification and present analysis with suitable visualizations.
Technique prevents malicious Apps from profiling users' privacy.
Method alleviates cold start problem in recommender systems.
vision-based security surveillance aims to an intelligent living environment.