Bryan Wong | KAIST

About Me

I am currently a Ph.D. candidate in Data Science at KAIST, advised by Prof. Mun Yong Yi. My current research focuses on vision-language models (VLMs) for medical image analysis, particularly in computational pathology.

During my Ph.D., I have been fortunate to collaborate with and be mentored by Dr. Huazhu Fu at A*STAR. I received my M.S. in Data Science from KAIST in 2023. Earlier, I completed my B.S. in Computer Science at NTUST in 2021, graduating one year early.

News

[Sep. 2025] One paper on vision-language MIL (HiVE-MIL) was accepted at NeurIPS 2025.
[Aug. 2025] One paper (LOKT) was accepted at EMNLP (Findings) 2025.
[Aug. 2025] One paper (MF2Vec) was accepted at CIKM 2025.
[Jul. 2025] Selected as a student volunteer at MICCAI 2025, held in Daejeon, South Korea, from Sept 23 to 27, 2025.
[Jun. 2025] One paper (MicroMIL) was accepted at MICCAI 2025.
[May. 2025] New preprint: "Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling" [📑 preprint].
[Jan. 2025] One paper (RMTS) was accepted at NAACL (Findings) 2025.
[Jan. 2025] Two papers (Rethinking MIL FE, Time Series MIL) were accepted at IEEE ISBI 2025.
[Jan. 2024] One paper (Predicted Loss AL) was accepted at BMC Medical Imaging 2024.
[Aug. 2023] Started Ph.D. program at the Graduate School of Data Science (GSDS), KAIST.
[Jun. 2023] Successfully defended my Master’s thesis.
[Jun. 2022] One paper (Gender Pay Gap) was accepted at IC2S2 2022 and KCC 2022.
[Aug. 2021] Started M.S. program at the Graduate School of Data Science (GSDS), KAIST.
[Jun. 2021] Graduated one year early with a B.S. in Computer Science, NTUST.

Publications

NeurIPS

Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling

Bryan Wong*, Jong Woo Kim*, Huazhu Fu, Mun Yong Yi

39^th Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

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MICCAI

MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images

Bryan Wong*, Jong Woo Kim*, Huazhu Fu, Willmer Rafell Quiñones Robles, Young Sin Ko, Mun Yong Yi

28^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.

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ISBI

Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification

Bryan Wong, Sungrae Hong, Mun Yong Yi

IEEE International Symposium on Biomedical Imaging (ISBI), 2025.

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Preprint

PreMix: Label-Efficient Multiple Instance Learning via Non-Contrastive Pre-training and Feature Mixing

Bryan Wong, Mun Yong Yi

Preprint

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Publications (Co-authored)

EMNLP

Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing

Jong Woo Kim*, Seong Yeb Chu*, Bryan Wong, Mun Yong Yi

Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2025.

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CIKM

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning

Jong Woo Kim, Seongyeub Chu, Hyungmin Park, Bryan Wong, Kijun Han, Mun Yong Yi

34^th ACM International Conference on Information and Knowledge Management (CIKM), 2025.

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NAACL

Rationale Behind Essay Scores: Enhancing S-LLM’s Multi-Trait Essay Scoring with Rationale Generated by LLMs

Seong Yeub Chu*, Jong Woo Kim*, Bryan Wong, Mun Yong Yi

Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL Findings), 2025.

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Preprint

Leveraging Spatial Context for Positive Pair Sampling in Histopathology Image Representation Learning

Willmer Rafell Quinones Robles, Sakonporn Noree, Young Sin Ko, Bryan Wong, Jong Woo Kim, Mun Yong Yi

Preprint

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ISBI

Towards Classifying Histopathological Microscope Images as Time Series Data

Sungrae Hong, Hyeongmin Park, Youngsin Ko, Sol Lee, Bryan Wong, Mun Yong Yi

IEEE International Symposium on Biomedical Imaging (ISBI), 2025.

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BMC

A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace

Mujin Kim, Willmer Rafell Quiñones Robles, Young Sin Ko, Bryan Wong, Sol Lee, Mun Yong Yi

BMC Medical Imaging, 2024.

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IC2S2 & KCC

Analyzing Gender Pay Gap in STEM Fields by Life Trajectory

Wenchao Dong, Bryan Wong, Hasnain Irshad Bhatti, Lanu Kim, Meeyoung Cha

8^th International Conference on Computational Social Science (IC2S2) and Korea Computer Congress (KCC), 2022.

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Academic Services

Reviewer: MICCAI 2025,
Student Volunteer: MICCAI 2025