A Robotics Institute student is one of two School of Computer Science students named recipients of 2017 NVIDIA Graduate Fellowships. The company sponsors the annual program to recognize and support excellence in computing research using graphics processing units.
Ph.D. student Xiaolong Wang was among the 11 fellows in the 2017 class, along with Adams Wei Yu, a Ph.D. student in the Machine Learning Department.
Wang’s research interests are computer vision and machine learning, focusing on exploiting redundancy in visual data to train visual representations. He earned a master’s degree in computer science at Sun
Yat-sen University and a bachelor’s degee in software engineering at South China Agricultural University.
Yu’s research lies in large scale optimization, deep learning, statistical machine learning and their applications. He has interned with the Google Brain team and the Microsoft Research machine learning group. He received his bachelor’s degree in math from Beihang University and a master’s degree in computer science from the University of Hong Kong.