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Guocheng Qian

钱国成

Research Scientist at Snap Research

Snap Research

Gordon Guocheng Qian

Welcome! I am a research scientist at Snap Research working on Personalized Generative AI. I earned my Ph.D. in Computer Science from KAUST, where I was fortunate to be advised by Prof. Bernard Ghanem. Prior to that, I received my B.Eng degree from Xi'an Jiaotong University (XJTU), China with the university’s highest undergraduate honor. My primary research interests lie in computer vision and generative models. My representative work includes PointNeXt (NeurIPS), Magic123 (ICLR) and Omni-ID.
If you are interested in working in generative models with us, please drop me a message through guocheng.qian [at] outlook.com

Education

Interests

Experience

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Snap Research
Research Scientist
Snap Research
Dec 2023 – Present
Palo Alto, USA
Work with Kfir Aberman on personalized AI generation. Projects: Omni-ID (CVPR'25), ComposeMe (preprint)
Snap Research
Research Scientist Intern
Snap Research
May 2023 – Sep 2023
Santa Monica, CA, USA
Projects: high-quality 3D generation Magic123 (ICLR'24), AToM (preprint)
Meta Reality Lab
AI Research Scientist Intern
Meta Reality Lab
Aug 2022 – Jan 2023
San Jose, CA, USA
Project: efficient long video understanding
Microsoft Research
Remote Job
Microsoft Research
Dec 2021 – May 2022
remote
Worked with Houwen Peng on point cloud processing backbone, data scaling and training PointNeXt (NeurIPS'22).
Megvii Research
Research Intern
Megvii Research
Jun 2020 – Dec 2021
Remote
Worked with Xiangyu Zhang and Xuanyang Zhang on atuomated architecture search project TNAS (CVPRW'22).
SenseTime Research
Computer Vision Research Intern
SenseTime Research
Jul 2018 – May 2019
Shenzhen, China
Worked with Jimmy S. Ren and Dong Chao on paper end-to-end raw image quality enhancement ISPNet (ICCP'22).

Accomplish­ments

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CEMSE Dean’s List Award (year 21/22)
May 2022
Awarded to Top 20%.
CEMSE Research Excellence Award (year 21/22)
Dec 2021
Awarded to less than a handful of students, following nominations and based on research achievement.
KAUST Fellowship for MS and PhD Studies
Jun 2019 – Dec 2023
Fellowship covering ​full tuition support, monthly living allowance, housing, and medical coverage.
Outstanding Undergraduate
Dec 2017
Highest undergraduate honor awarded to 10 selected undergraduates
National First Class Scholarship
Ministry of Education, China
Oct 2017
Highest scholarship awarded to TOP 2% unversity student.