Current frame
Researcher at ByteDance focused on foundation models and code LLMs.
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Guanghan Ning
Guanghan Ning is a ByteDance researcher whose public homepage says he switched to foundation models at the beginning of 2023, especially code LLMs, after earlier work in computer vision and deep learning.
Profile status: updated
Extended note
Guanghan Ning is a researcher at ByteDance working on foundation models, with a stated focus on code LLMs and reasoning-oriented systems. His homepage says he earned a Ph.D. from the University of Missouri under Prof. Henry He and previously worked on vision and deep learning, including object tracking and pose estimation projects such as ROLO and LightTrack. OpenReview lists earlier roles at JD Finance America and ByteDance, aligning with the research trajectory shown on his homepage and the provided ByteDance Seed report authorship.