I'm Ke (Richard) Xu. Currently, I'm pursuing a Master of Engineering degree in Applied Data Science at the University of Victoria, BC. My career aspirations are rooted deeply in deep learning and computer vision, with my recent endeavors pivoting towards large foundation models and artificial general intelligence.
In my previous academic ventures, I worked under the guidance of Prof. Ram Nevatia at the University of Southern California, focusing on adversarial machine learning for computer vision applications. I also collaborated with Prof. Yue Wang on 3D point cloud self-supervised learning.
I graduated with a M.S. in Computer Science and a B.S. in Computer Engineering at the University of Illinois Urbana-Champaign, advised by Prof. Katie Driggs-Campbell and Prof. Volodymyr Kindratenko. During my time at UIUC, I acquired extensive experience in deep learning, autonomous driving, distributed training, and remote sensing.
Outside the academic realm, I find joy and balance in life through tennis, badminton, swimming, and hiking.