Summary
Xinyu Zhang is a PhD candidate in Computer Science at Rutgers University and a Research Scientist Intern at Meta, with 11 years of industry and research experience spanning Microsoft and MEGVII. He has six first-author papers in top robotics and AI venues (RSS, RA-L, CoRL, IROS) and maintains GitHub projects that have attracted hundreds of stars, reflecting practical impact beyond publications. His technical strengths include 2D/3D vision, 3D/4D reconstruction, representation learning, vision-language models, and policy learning for intelligent agents, with a track record of translating research into well-used code. Combining rigorous academic training from Rutgers, UC San Diego, and USTC with production experience, he bridges cutting-edge research and scalable engineering. An often overlooked asset is his cross-domain fluency—moving smoothly between perception, generative representations, and control—to build end-to-end robotic learning systems.
11 years of coding experience
3 years of employment as a software developer
University of California, San Diego
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at University of Science and Technology of China
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rutgers University