Li-Yuan Tsao

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Hi! I’m Li-Yuan Tsao (曹立元), a first-year Ph.D. student at University of Texas at Austin, advised by Prof. Philipp Krähenbühl.

I received my Master’s degree in Computer Science and Bachelor’s degree in EECS at National Tsing Hua University (NTHU), advised by Prof. Chun-Yi Lee. I’ve also been fortunate to work with Prof. Ming-Hsuan Yang, Dr. Kelvin C.K. Chan, and Dr. Deqing Sun during my time as a visiting student at UC Merced.

I am currently working on LLM reasoning related topics. If you have research opportunities or any ideas to discuss, feel free to reach out!

You can also check out my CV for more details about me.

News

Nov, 2025 Selected as a top reviewer (15%) of NeurIPS 2025!
Aug, 2025 Received the Best Master Thesis Award from the Chinese Society of Image Processing and Pattern Recognition (IPPR).
Mar, 2025 I will be joining the University of Texas at Austin as a PhD student in August 2025!
Jan, 2025 Joined the University of Oslo as a graduate exchange student for the Spring 2025 semester.
Nov, 2024 HoliSDiP is released! Many thanks to my collaborators, mentors and advisors.
Jun, 2024 Started as a visiting scholar at Vision and Learning Lab, University of California, Merced.
Jun, 2024 I have completed my military service!
Feb, 2024 BFSR got accepted to CVPR’24! Many thanks to my collaborators and advisor.
Aug, 2023 Conducted one-week-long badminton charity teaching program in remote areas. [News]
Apr, 2023 Honored to receive conference scholarships from Google, Appier, MediaTek, and NSTC.
Oct, 2022 Honored to receive the Nurturing Outstanding Talents Scholarship, E.SUN Commercial Bank, Taiwan. Only 5 national awardees are selected in the engineering and science category.
May, 2022 Honored to receive the Dr. Mei Yi-Chi Memorial Prize, which is the highest honor of newly graduates at National Tsing Hua University, awarded to a maximum of 10 candidates annually.

Publications

(* indicates equal contribution)

  1. HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior
    Li-Yuan Tsao ,  Hao-Wei Chen ,  Hao-Wei Chung ,  Deqing Sun ,  Chun-Yi Lee ,  Kelvin C.K. Chan ,  and  Ming-Hsuan Yang
    In Under Review , 2025
    arXiv Code Website
  2. Boosting Flow-based Generative Super-Resolution Models via Learned Prior
    Li-Yuan Tsao ,  Yi-Chen Lo ,  Chia-Che Chang ,  Hao-Wei Chen ,  Roy Tseng ,  Chien Feng ,  and  Chun-Yi Lee
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
    arXiv Code
  3. Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
    Li-Yuan Tsao* ,  Jie-En Yao* ,  Yi-Chen Lo ,  Roy Tseng ,  Chia-Che Chang ,  and  Chun-Yi Lee
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2023
    arXiv Code
  4. ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA
    Ting-Hsuan Liao ,  Huang-Ru Liao ,  Li-Yuan Tsao* ,  Shan-Ya Yang* ,  Jie-En Yao* ,  Hsu-Shen Liu* ,  Bo-Wun Cheng ,  Chen-Hao Chao ,  Chia-Che Chang ,  Yi-Chen Lo ,  and  Chun-Yi Lee
    In The 33rd British Machine Vision Conference (BMVC) , 2022
    arXiv Code
  5. Investigation of Factorized Optical Flows as Mid-Level Representations
    Hsuan-Kung Yang ,  Tsu-Ching Hsiao ,  Li-Yuan Tsao* ,  Ting-Hsuan Liao* ,  Hsu-Shen Liu* ,  Tzu-Wen Wang* ,  Shan-Ya Yang* ,  Yu-Wen Chen ,  Huang-Ru Liao ,  and  Chun-Yi Lee
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2022
    arXiv Video Website

Education

AUG 2025 - PRESENT
Ph.D. in Computer Science
University of Texas at Austin
Advised by Prof. Philipp Krähenbühl
UT Austin
SEP 2022 - JUL 2025
M.S. in Computer Science
National Tsing Hua University
Advised by Prof. Chun-Yi Lee
NTHU
SEP 2018 - JUN 2022
B.S. in Electrical Engineering and Computer Science
National Tsing Hua University
I received the highest honor (Dr. Mei Yi-Chi Memorial Prize) for undergraduate students
NTHU

Life

Meichu 1
Badminton 5
Badminton 2
Snow
Fish 2
Running