Robots, Autonomous Vehicles and Deep Learning

Dr. Xing holds a Ph.D degree in Particle Physics, with his thesis focusing on large-scale statistical data analysis, utilizing neural network methodologies on various analysis projects at LHCb experiment at CERN. Thereafter Dr. Xing joined Stanford Linear Accelerator Center (SLAC) national laboratory, as Engineering Physicist/ Faculty and Staff, working on data acquisition and analysis. Dr. Xing then joined a leading China EV company, NIO, where he specializes on a few deep-learning driven fields related to applications of autonomous driving, including supervised learning for semantic segmentations / road segmentations, moving object detections, trajectory prediction using both optical camera as well as LIDAR measurements, reinforcement learning of continuous control, policy-based semi-model controlled reinforcement learning methods, etc.