Yi Li is a Member of Technical Staff at xAI with a decade of experience bridging cutting-edge research and applied robotics and vision-language models. He holds a Ph.D. from the University of Washington where he led perception efforts for Amazon-UW warehouse manipulation and co-authored CoRL 2023 work on segmenting and tracking unseen objects. His internships at NVIDIA and Microsoft Research Asia contributed to influential projects like DeepIM (ECCV top-12) and HAMSTER, a hierarchical VLA model accepted to ICLR 2025 that enables semantic and geometric generalization for robotic manipulation. Comfortable moving research into systems, Yi combines strong publication credentials with hands-on model development and a track record of prize-winning computer vision results.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Washington
Master’s Degree, Control Science and Engineering, Master’s Degree, Control Science and Engineering at Tsinghua University
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