Yiqing Liang
PhD Candidate
Providence, Rhode Island, United States
Summary
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SeniorYiqing Liang is a research scientist and tech lead at Luma AI with eight years of experience building models that understand and generate the visual world, currently steering the Manga project and contributing to Uni-1, Luma’s unified multimodal model. She earned a PhD in Computer Science from Brown University studying dynamic scene modeling from monocular video, after an MS at Columbia focused on embodied AI and vision-language reasoning. Her work spans 3D/4D reconstruction, multimodal learning, and world models, and has been published at ICLR, CVPR, ICCV and TMLR, earning a CVPR 2025 Oral and MIT EECS Rising Stars 2025 recognition. Yiqing has industry research experience at NVIDIA and Meta Reality Labs and a history at top academic labs and companies in China and the U.S., blending rigorous theory with production-minded systems design. Colleagues value her for translating novel research into scalable model components and leading cross-functional efforts to bring generation and understanding models together.
8 years of coding experience
Github Skills (17)
simulator9
robotics9
computer-vision8
deep-reinforcement-learning8
reinforcement-learning8
ai7
python7
deep-learning6
ai-agent6
cpp3
game-engine2
artificial-intelligence2
game-development2
neural-network2
3d2
Programming languages (2)
Github contributions (5)
lynl7130/homepage
Sep 2020 - Dec 2023
Contributions:213 pushes, 1 branch in 3 years 3 months
real-stanford/SSCNav
Mar 2021 - Mar 2021
Contributions:75 commits, 1 comment in 2 days
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