Shuquan Ye
PhD Candidate
Hong Kong Island, Hong Kong, China
Summary
👤
Senior🎓
Top SchoolShuquan Ye is a PhD candidate and researcher with eight years of experience specializing in computer vision and machine learning, with a strong focus on multimodal (text, 2D, 3D, 4D), human-aligned, and creative AI. He has led projects in 3D/4D generation and perception, robustness to imperfect multimodal data, and human-centered benchmarks, and has research experience at Microsoft Research and City University of Hong Kong as a postdoc and research fellow. Shuquan combines rigorous academic training from CityU and South China University of Technology with hands-on grant writing, student mentoring, and experimental design. Notably, his work spans applied domains including medical and inconspicuous image analysis, reflecting an ability to bridge foundational models with real-world, domain-specific problems.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, cs, Doctor of Philosophy - PhD, cs at 香港城市大学Bachelor's degree, Computer Science and Technology (top 0.4% Innovation Class), Bachelor's degree, Computer Science and Technology (top 0.4% Innovation Class) at 华南理工大学合肥市第一中学
Github Skills (26)
pointnet10
generative-adversarial-network9
python8
cyclegan8
image-manipulation8
pytorch8
computer-graphics7
deep-learning7
3d-reconstruction7
documentation7
computer-vision7
point-cloud6
segmentation6
image-translation6
datasets6
Programming languages (2)
Github contributions (5)
tzt101/MichiGAN
Jul 2020 - Dec 2020
Contributions:17 commits in 4 months
pleaseconnectwifi/PNAL
Jul 2021 - Oct 2022
Learning with Noisy Labels for Robust Point Cloud Segmentation (ICCV2021 Oral)
Contributions:10 commits, 3 PRs, 8 pushes in 1 year 3 months
computer-visionpoint-cloud-segmentationlearning-with-noisy-labelspointiccv2021
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