Yuan-Hong Liao

Toronto, Canada
I am on the job market for an industry role starting mid 2025. If my research aligns with your needs, please feel free to reach out via email.
I am a final-year Ph.D. student at the University of Toronto and Vector Institute. I am fortunate to be supervised by Prof. Sanja Fidler. Previously, I was an CV/ML scientist intern at NVIDIA Toronto AI lab in 2022 - 2023 and Amazon Astros team in 2024.
My research surrounds two essential aspects: visual data labeling and vision-language models:
- 🖼️ Improving visual labels: Visual labeling: I develop methods to reduce crowdsourced labeling costs [CVPR’21] and fix semantic inconsistencies in real-world datasets [ICLR’24].
- 🧠Vision-language models: I enhance vision-language models in spatial reasoning [EMNLP’24], enable self-correction during inference [CVPR’25], and promote system-2 thinking in vision-centric tasks [arxiv’25]
Check my resume here (last updated in April 2025)
Previous experiences
Prior to my Ph.D., I was a visiting student at Vector Institute and USC in 2018 and 2017, respectively. I was fortunate to start by AI research at National Tsing Hua University, supervised by Prof. Min Sun.news
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