Jingyang Lin
Research Intern at ByteDance
City of Rochester, New York, United States
Summary
👤
Senior🎓
Top SchoolJingyang Lin is a Ph.D. student and research intern specializing in visual and long-form video understanding, large language models, AI for healthcare, and self-supervised learning, currently based at the University of Rochester and interning at Microsoft. With a B.Eng. in software engineering and an M.Sc. in computational mathematics from Sun Yat-sen University, he brings nine years of research experience across industry labs including AMD, Alibaba, JD.com, and PAII. His recent work emphasizes bridging multimodal video understanding with LLMs and practical OOD detection techniques, reflecting both theoretical depth and applied impact. Notably, he has a track record of short, focused industrial collaborations that accelerate translating academic ideas into scalable research prototypes.
10 years of coding experience
Master of Science - MS, Computational Mathematics, Master of Science - MS, Computational Mathematics at Sun Yat-sen UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Rochester
Github Skills (14)
retinanet10
mask-rcnn10
openmmlab10
swin-transformer10
object-detection10
faster-rcnn10
pytorch10
instance-segmentation10
vision-transformer10
glip9
transformer9
java6
vue5
scene-text5
Programming languages (1)
Github contributions (5)
jylins/CORE-Text
May 2021 - Jul 2021
[ICME 2021 Oral] CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning
Contributions:3 commits, 2 PRs, 1 push in 1 month
scene-text
FcnKoolBeeTeam/fcn.tf
Nov 2017 - Nov 2017
Contributions:34 PRs, 17 pushes, 1 branch in 21 days
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