Min Woo Sun

According to our database, Min Woo Sun authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Do VLMs Perceive or Recall? Probing Visual Perception vs. Memory with Classic Visual Illusions.

Xiaoxiao Sun, Mingyang Li, Kun yuan, Min Woo Sun, Mark Endo, Shengguang Wu, Changlin Li, Yuhui Zhang, Zeyu Wang, Serena Yeung-Levy

CoRR, January, 2026

PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR.

James Burgess, Jan N. Hansen, Duo Peng, Yuhui Zhang, Alejandro Lozano, Min Woo Sun, Emma Lundberg, Serena Yeung-Levy

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific Literature.

Kun Yuan, Min Woo Sun, Zhen Chen, Alejandro Lozano, Xiangteng He, Shi Li, Nassir Navab, Xiaoxiao Sun, Nicolas Padoy, Serena Yeung-Levy

CoRR, December, 2025

No Tokens Wasted: Leveraging Long Context in Biomedical Vision-Language Models.

Min Woo Sun, Alejandro Lozano, Javier Gamazo Tejero, Vishwesh Nath, Xiao Xiao Sun, James Burgess, Yuhui Zhang, Kun Yuan, Robert Tibshirani, Sean Huver, Serena Yeung-Levy

CoRR, October, 2025

Can Large Language Models Match the Conclusions of Systematic Reviews?

Christopher Polzak, Alejandro Lozano, Min Woo Sun, James Burgess, Yuhui Zhang, Kevin Wu, Serena Yeung-Levy

CoRR, May, 2025

MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports.

Kevin Wu, Eric Wu, Rahul Thapa, Kevin Wei, Angela Zhang, Arvind Suresh, Jacqueline J. Tao, Min Woo Sun, Alejandro Lozano, James Zou

CoRR, May, 2025

A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI.

Alejandro Lozano, Min Woo Sun, James Burgess, Jeffrey J. Nirschl, Christopher Polzak, Yuhui Zhang, Liangyu Chen, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Collin Chiu, Orr Zohar, Xiaohan Wang, Alfred Seunghoon Song, Chia-Chun Chiang, Robert Tibshirani, Serena Yeung-Levy

CoRR, March, 2025

BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature.

Alejandro Lozano, Min Woo Sun, James Burgess, Liangyu Chen, Jeffrey J. Nirschl, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Yuhui Zhang, Collin Chiu, Xiaohan Wang, Alfred Seunghoon Song, Robert Tibshirani, Serena Yeung-Levy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2021

A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism.

Maya Varma, Kelley M. Paskov, Brianna Sierra Chrisman, Min Woo Sun, Jae-Yoon Jung, Nate Tyler Stockham, Peter Washington, Dennis P. Wall

BioData Min., 2021

Estimating sequencing error rates using families.

Kelley M. Paskov, Jae-Yoon Jung, Brianna Sierra Chrisman, Nate Tyler Stockham, Peter Washington, Maya Varma, Min Woo Sun, Dennis P. Wall

BioData Min., 2021

Indels in SARS-CoV-2 occur at template-switching hotspots.

Brianna Sierra Chrisman, Kelley M. Paskov, Nate Tyler Stockham, Kevin Tabatabaei, Jae-Yoon Jung, Peter Washington, Maya Varma, Min Woo Sun, Sepideh Maleki, Dennis P. Wall

BioData Min., 2021

Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder.

Peter Washington, Émilie Leblanc, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Jae-Yoon Jung, Brianna Sierra Chrisman, Min Woo Sun, Nate Tyler Stockham, Kelley Marie Paskov, Haik Kalantarian, Catalin Voss, Nick Haber, Dennis P. Wall

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2020

Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders.

Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley M. Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall

CoRR, 2020

Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value.

Min Woo Sun, Stefano Moretti, Kelley M. Paskov, Nate Tyler Stockham, Maya Varma, Brianna Sierra Chrisman, Peter Yigitcan Washington, Jae-Yoon Jung, Dennis P. Wall

BMC Bioinform., 2020

2018

Coalitional game theory as a promising approach to identify candidate autism genes.

Anika Gupta, Min Woo Sun, Kelley M. Paskov, Nate Tyler Stockham, Jae-Yoon Jung, Dennis P. Wall

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018