Summary
Yifei Xu is an algorithm engineer at WeRide.ai with 11 years of experience specializing in behavior and trajectory prediction and planning for autonomous vehicles. He holds a Ph.D. in Statistics from UCLA, where he worked with Prof. Ying Nian Wu and contributed to the VCLA under Prof. Song-chun Zhu, blending rigorous probabilistic modeling with computer vision and generative models. His background spans high-impact research internships across industry labs—Microsoft Research Asia, Snap, Alibaba DAMO, Baidu USA, Hikvision, and others—where he explored energy-based models, 3D shape representation, and NLP pretraining. At WeRide he applies that research depth to production-oriented prediction systems for real-world driving. Combining strong statistical foundations with practical ML engineering, he often bridges generative modeling and reinforcement learning to improve prediction robustness in complex driving scenarios. Based in San Jose, he brings both top-tier academic training and diverse industry research experience to autonomous driving challenges.
11 years of coding experience
Primary, Mid, High School (Full K-12), General, Primary, Mid, High School (Full K-12), General at Shanghai Experimental School
Doctor of Philosophy - PhD, Statistics, 3.99, Doctor of Philosophy - PhD, Statistics, 3.99 at University of California, Los Angeles
Bachelor’s Degree, Computer Science, 3.8, Bachelor’s Degree, Computer Science, 3.8 at Shanghai Jiao Tong University