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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 with Kfir Aberman on Personalized AI Generation. I graduated as a Ph.D. in Computer Science at KAUST, under the supervision of Prof. Bernard Ghanem. Prior to that, I received my B.Eng degree with the highest undergraduate honor from Xi'an Jiaotong University (XJTU). My primary research interests lie in creative vision and generative modeling. My representative work includes PointNeXt (NeurIPS), ASSANet (NeurIPS Spotlight), DeepGCNs (T-PAMI), 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

 
 
 
 
 

Research Scientist

Dec 2023 – Present Palo Alto, USA
Work with Kfir Aberman and Sergey Tulyakov on personalized AI generation, such as Omni-ID
 
 
 
 
 

Research Scientist Intern

May 2023 – Sep 2023 Santa Monica, CA, USA
Worked with Sergey Tulyakov on Magic123 and Kfir Aberman on AToM.
 
 
 
 
 

AI Research Scientist Intern

Aug 2022 – Jan 2023 San Jose, CA, USA
Worked with amazing researchers such as Yunyang Xiong , Haoqi Fan , Zhuang Liu , and other amzing researchers on paper GTMNet (under review).
 
 
 
 
 

Remote Job

Dec 2021 – May 2022 remote
Worked with Houwen Peng on paper PointNeXt (NeurIPS'22).
 
 
 
 
 

Research Intern

Jun 2020 – Dec 2021 Remote
Worked with Xiangyu Zhang and Xuanyang Zhang on paper TNAS (CVPRW'22).
 
 
 
 
 

Computer Vision Research Intern

Jul 2018 – May 2019 Shenzhen, China
Worked with Jimmy S. Ren and Dong Chao on paper TENet (ICCP'22).

Accomplish­ments

CEMSE Dean’s List Award (year 21/22)

Awarded to Top 20%.

CEMSE Research Excellence Award (year 21/22)

Awarded to less than a handful of students, following nominations and based on research achievement.

KAUST Fellowship for MS and PhD Studies

Fellowship covering ​full tuition support, monthly living allowance, housing, and medical coverage.

Outstanding Undergraduate

Highest undergraduate honor awarded to 10 selected undergraduates

National First Class Scholarship

Highest scholarship awarded to TOP 2% unversity student.

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