Limei Wang is a research scientist at Meta with six years of experience bridging academic research and applied machine learning, holding a PhD in Computer Science and Engineering from Texas A&M. Her work focuses on graph deep learning for 3D data—she contributed key implementations and dataset support (including SphereNet) to the divelab/DIG library, reflecting deep expertise in 3D GNNs. Before joining Meta full-time she was a research assistant at Texas A&M and completed an internship at Meta, demonstrating a steady trajectory from academic innovation to industry research. Based in Texas and trained at the University of Science and Technology of China, she combines rigorous theory with practical model engineering to push graph-based 3D perception forward.
6 years of coding experience
4 years of employment as a software developer
Engineering, Engineering at University of Science and Technology of China
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Texas A&M University
Contributions:65 commits, 5 PRs, 51 pushes in 1 year 11 months
Contributions summary:Limei primarily contributed to the development of 3D graph deep learning models within the dig library. Their work included implementing and updating datasets and model architectures such as SphereNet. The user's contributions indicate a focus on the 3dgnn module and associated datasets, reflecting expertise in graph-based deep learning for 3D data.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.