Xinglong Sun

Xinglong Sun is a Deep Learning Research Engineer at NVIDIA, where they work on end-to-end planning and efficient perception in the Applied AV Perception Research Team. They are also a Research Assistant and Teaching Assistant at Stanford University, collaborating on visual tracking and video understanding, and have proposed a novel algorithm for refining motion models. Previously, Xinglong gained diverse experience through internships and research roles at leading companies and institutions, including Apple, IBM, and University of Illinois Urbana-Champaign, where they contributed to hardware pruning frameworks and engaged in robotics and hardware tech projects. Xinglong holds a Bachelor’s degree from the University of Illinois Urbana-Champaign and is pursuing a Master of Science at Stanford University.