The NVIDIA Graduate Fellowship Program awarded up to $50,000 to UC Merced graduate student Xueting Li for her research in self-supervised learning and relation learning between different visual elements.
Li, a third-year Electrical Engineering and Computer Science Ph.D. student in Professor Ming-Hsuan Yang’s Vision and Learning Lab, focuses on computer vision and deep learning, especially on the area of unsupervised learning and 3D computer vision.
“Receiving the fellowship from NVIDIA is a great honor,” she said. “It drives me to target challenging problems and contribute more to the research community.”
Li earned a master’s degree from Tsinghua University in 2016 and a bachelor’s degree from and Beijing University of Posts and Telecommunications in 2013.
Now in its 19th year, the fellowship program supports graduate students doing GPU-based work. The company selected this year’s fellows from more than 300 applicants from a host of countries. “Our fellowship recipients are among the most talented graduate students in the world,” NVIDIA Chief Scientist Bill Dally said. “They’re working on some of the most important problems in computer science, and we’re delighted to support their research.”
Li is one of five recipients to receive the fellowship this year, including graduate students from the University of Washington, Dartmouth College, University of Utah and Massachusetts Institute of Technology.
The fellows’ work puts them at the forefront of GPU (graphics processing unit) computing, including projects in deep learning, graphics, high performance computing and autonomous machines.
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