Summary
Yanwu Xu is a software engineer specializing in ultra-efficient generative AI algorithms, with eight years of experience bridging research and production across Google and Snap. Currently at Google, Yanwu has a strong research background including multiple internships and student researcher roles at Google and a brief research scientist position at Snap focused on speeding up GenAI. He holds advanced degrees across institutions in the U.S., France, and China, pursuing a PhD at Boston University in computer vision, machine learning, and medical image analysis. Yanwu’s profile combines deep academic rigor—GANs, medical imaging, and video/multimedia processing—with practical systems work to make generative models fast enough for real-world deployment. Colleagues would note his cross-disciplinary foundation from mechatronics to ML, which helps him optimize models with both hardware-aware and algorithmic perspectives.
9 years of coding experience
1 year of employment as a software developer
Master of images,vedio,multimedia processing, Machine learning, Deep Learning and Image Processing, Master of images,vedio,multimedia processing, Machine learning, Deep Learning and Image Processing at Université Paris-Est Créteil (UPEC)
Mechanical Engineering, Mechatronics, Robotics, and Automation Engineering, Mechanical Engineering, Mechatronics, Robotics, and Automation Engineering at Central South University
Master of Science - MS, Computer Science, Compter Vision, Machine Learning, Generative Adversarial Learning, Master of Science - MS, Computer Science, Compter Vision, Machine Learning, Generative Adversarial Learning at University of Pittsburgh
Doctor of Philosophy - PhD, Computer vision, Maching learning, Medical Image Analysis, Doctor of Philosophy - PhD, Computer vision, Maching learning, Medical Image Analysis at Boston University