Shanghua Gao
Postdoctoral Fellow at Harvard University
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolShanghua Gao is a postdoctoral fellow at Harvard with nine years of research experience in computer vision, AIGC, architecture design, and representation learning, earned during a PhD at Nankai University under Prof. Ming-Ming Cheng. He has authored 10+ papers in top venues including TPAMI and CVPR, amassed over 2,600 citations—most notably Res2Net (PAMI 2021) which has 1,400+ citations—and has seen several research contributions shipped into industrial products. At Sea AI Lab and YITU Tech he translated academic advances into practical models, and on GitHub he actively maintains the Res2Net pretrained-models repository, expanding model variants and weights used widely by the community. Based in Boston, he combines deep theoretical insight with hands-on engineering to move multi-scale backbone architectures from paper to production.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Nankai University学士, Telecommunications Engineering, 学士, Telecommunications Engineering at 西安电子科技大学
Github Skills (9)
computer-vision10
pytorch10
machine-learning10
deep-learning10
pre-trained-model10
modeling9
trainings9
continuous-deployment8
ml-deployment8
Programming languages (7)
Github contributions (5)
Res2Net/Res2Net-PretrainedModels
Jul 2019 - Dec 2022
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
Role in this project:
ML Engineer
ML EngineerContributions:39 commits, 1 PR, 38 pushes in 3 years 5 months
Contributions summary:Shanghua primarily contributed to the project by modifying and adding pretrained models, specifically focusing on Res2Net and related architectures. Their commits involve updating download links for model weights and introducing a new version of the Res2Net model (v1b) with corresponding code changes. They also made updates to include other models such as dla and res2next. These changes suggest an active role in maintaining and expanding the available pre-trained models within the repository.
pytorchimagenetmobilenetresnetsemantic-segmentation
ShangHua-Gao/SOD100K
Jul 2020 - Mar 2022
Contributions:1 release, 27 commits, 25 pushes in 1 year 8 months
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