I am currently pursuing my Ph.D. in Computer Science at the Visual Computing Center at King Abdullah University of Science and Technology (KAUST).
I works under the guidance of Prof. Wolfgang Heidrich as a member of the Computational Imaging Group.
I got my M.S. degree from Tsinghua-Berkely Shenzhen Institute (TBSI), Tsinghua University, where I was co-advised by Prof. Qionghai Dai and Prof. Lu Fang.
Before that, I received my B.E. degree from South China University of Technology (SCUT), where I studied intelligence science and technology. I had a wonderful time in UC Berkely as a visiting student during my senior year and serves a research consultant at Baidu Research before joining KAUST.
My research interest spans 3D vision, computational imaging, machine learning, and neural science.
Material's subsurface scattering feature can be probed by dot-pattern illumination emitted by the structured ligh camera. By fusing with reflection and texture features, the material recognition power is enhanced.
Recognize and localize the cup for grasping by computer vision, after decoding the patient's intention by EEG.
Fall 2023 -
Ph.D. in Computer Science
Visual Computing Center, King Abdullah University of Science and Technology (KAUST)
advised by Prof. Wolfgang Heidrich
Fall 2019 - Spring 2022
M. S. in Data Science and Technology
Tsinghua-Berkely Shenzhen Institute (TBSI), Tsinghua University (THU)
co-advised by Prof. Qionghai Dai and Prof. Lu Fang GPA: 3.95 Rank:2/98
Fall 2015 - Spring 2019
B. E. in Intelligence Science and Technology
Department of Automation, South China University of Technology (SCUT)
Chinese National Scholarship, by Minister of Education of China, 2017
Chinese National Scholarship, by Minister of Education of China, 2016
GPA: 3.90 Rank:1/50
Visiting Student in Computer Science and Statistics
Exchange Program, University of California, Berkely (UCB)
Coursework: Introduction to Artificial Intelligence (CS 188, A), High-Dimensional Data Analysis with Low-Dimensional Models (EE290T, B+), Probability for Data Science (Prob 140, A+), Special Topics on Deep Learning (CS294-131, A)