Summary
Xiaolong Wang is a research director and academic leader with a decade of experience at the intersection of computer vision, machine learning, and robotics, currently splitting roles between Meta Superintelligence Labs and UC San Diego. He builds self-supervised 3D and dynamics representations from video and robotic interaction data to enable generalized, real-world robotic manipulation, and his work spans video understanding, common-sense reasoning, RL, and dexterous hands. A CMU PhD and former NVIDIA researcher and startup co-founder (Acquired by Meta), he combines rigorous academic research with product-minded research translation. His projects emphasize leveraging language and innate supervision signals to teach robots robust skills—an approach reflected in collaborations across visual computing and contextual robotics institutes. Notably, he has contributed foundational work on temporal cycle-consistency and non-local neural networks during internships at Berkeley and Facebook, signaling a long track record of influential research.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Sun Yat-sen University
Bachelor of Engineering - BE, Bachelor of Engineering - BE at South China Agricultural University
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Carnegie Mellon University