Mengmeng Xu is an AI research scientist based in London with nine years of experience specializing in image and video understanding and generative models. Currently at Meta after progressing from intern to postdoc and research scientist roles within the same organization, she blends deep academic training from KAUST and Zhejiang University with hands-on applied research at industry leaders including Amazon and Samsung. Her work focuses on advancing video generation and understanding, bridging theoretical methods and scalable implementation for real-world systems. Known for navigating both research and product-facing environments, she brings expertise in optics-informed signal processing as well as modern deep learning approaches. Colleagues describe her as pragmatic and curious—equally comfortable designing experiments and shipping prototype systems that push the boundaries of visual AI.
9 years of coding experience
2 years of employment as a software developer
MS/PHD, Electrical and Computer Engineering, MS/PHD, Electrical and Computer Engineering at King Abdullah University of Science and Technology
Bachelor's minor degree, Advance honor Class of Education Engineering, Bachelor's minor degree, Advance honor Class of Education Engineering at Zhejiang University
The official implementation of G-TAD: Sub-Graph Localization for Temporal Action Detection
Contributions:32 commits, 5 PRs, 34 pushes in 1 year
tadaction-detectiontemporalgraphlocalization
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