Scholar
Shao-Yuan Lo
Google Scholar ID: vL35nH4AAAAJ
Assistant Professor, National Taiwan University
Citations & Impact
Citations
1,018
H-index
15
i10-index
16
Publications
20
Co-authors
53
list available
Publications
Resume (English only)
Academic Achievements
- 2025: 1 paper accepted to IJCV, Area Chair for BMVC 2025, invited talks at ProtagoLabs (remote); 1 paper accepted to ICML 2025 (Spotlight!), Outstanding Reviewer for CVPR 2025; 1 paper accepted to CVIU, invited talks at UC Santa Cruz and CSIG Wuhan Center (virtual); 1 paper accepted to IEEE T-MI, invited talks at UC Riverside and WACV 2025 COOOL Workshop; 2 papers accepted to CVPR 2025 (both are Highlight!), Tutorial Chair for AVSS 2025; 1 paper accepted to ICLR 2025. 2024: Invited talk at National Taiwan University, Associate Editor for ICRA 2025; Invited talk at Jilin University (remote); 1 paper accepted to ECCV 2024; 2 papers accepted to CVPR 2024, Best Student Paper Award at SPIE Medical Imaging 2024!!; Invited talks at Academia Sinica and National Yang Ming Chiao Tung University. 2023: Joined Honda Research Institute USA as a Research Scientist; Defended PhD dissertation; 1 paper accepted to CVPR 2023; Accepted to the Google CS Research Mentorship Program. 2022: 1 paper accepted to IEEE T-PAMI, 1 paper accepted to IROS 2022; Applied Scientist Intern with the Amazon Just Walk Out team. 2021: Invited talk at CVPR 2021 Tutorial on Adversarial Machine Learning in Computer Vision; Applied Scientist Intern with the Amazon Astro team. 2019: Best Paper Award at ACM Multimedia Asia 2019!!
Research Experience
- Currently an Assistant Professor at National Taiwan University. Previously, a Research Scientist at Honda Research Institute USA, and an Applied Scientist Intern with the Amazon Just Walk Out team (Summer 2022) and the Amazon Astro team (Summer 2021).
Education
- Received Ph.D. from Johns Hopkins University in 2023; M.S. and B.S. degrees from National Chiao Tung University in 2019 and 2017, respectively.
Background
- Research interests include Trustworthy AI, Machine Learning, and Multimodal Models, with a recent focus on Multimodal Large Language Models and Reasoning.
Miscellany
- Hiring Undergrad, Master's, and Ph.D. Students!!
