Summary
Xuxi Yang is an algorithm engineer with 9 years of experience specializing in deep learning, reinforcement learning, decision theory, optimization, and computer vision, currently working at ByteDance in Beijing. He holds a PhD in Aerospace Engineering from Iowa State University and has applied RL and MDP techniques to both single- and multi-agent problems, including UAV guidance and collision avoidance in OpenAI Gym environments. His industry work spans model compression for large-scale recommendation systems, real-time object detection on edge devices, and verification & validation tools for decision-making systems using Bayesian optimization. Xuxi combines rigorous academic research with hands-on production deployment, having moved algorithms from simulators to iOS and onboard UAV systems. He frequently bridges safety-critical aerospace problems and scalable ML solutions, reflecting a practical focus on robust decision-making under uncertainty. For more technical detail and projects, his work is documented at his personal site and GitHub.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical/Space Engineering, 3.93/4.0, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical/Space Engineering, 3.93/4.0 at Iowa State University
The University of Hong Kong (HKU)
Bachelor’s Degree, Mathematics, 89.88/100, Bachelor’s Degree, Mathematics, 89.88/100 at Harbin Institute of Technology
English, Chinese