Scholar
Sangwoo Mo
Google Scholar ID: Sq9y3NMAAAAJ
Assistant Professor, POSTECH
Citations & Impact
Citations
2,596
H-index
16
i10-index
18
Publications
20
Co-authors
10
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as NeurIPS, CVPR, ICLR, including OACon, OAMixer, CAST, OAK, InstaGAN, DIGAN, SHED, HOMER, SuRe, Simba, EIT-NN, EIT-NN-v2, LoGe, DPM-SNC, CSI, MASKER, RoPAWS, S-CLIP, GOLD, FreezeD, FICS, B2T, LAP, LAMP. Organized several workshops at international conferences and served as a reviewer.
Research Experience
- Worked as a Postdoctoral Fellow at the University of Michigan, Research Intern at NVIDIA AI, Meta AI, Collaborator at Naver AI, and Google AI.
Education
- Ph.D. from KAIST, supervised by Prof. Jinwoo Shin; Postdoctoral Fellow at the University of Michigan, working with Prof. Stella X. Yu.
Background
- Currently an Assistant Professor in the Department of Industrial and Management Engineering (IME) at POSTECH, affiliated with the Graduate School of Industrial Data Science (IDS) and Artificial Intelligence (AI). His research goal is to design scalable priors to improve the performance, reliability, and interpretability of AI.
Miscellany
- Interests include collaborating with leading research labs such as Google, Meta, NVIDIA, Naver, and Kakao, and has been supported by fellowships from Samsung and Qualcomm.
