Bryan Wong

According to our database, Bryan Wong authored at least 12 papers between 2001 and 2025.

Collaborative distances:

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

2025

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

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

CoRR, May, 2025

Spatial Context-Driven Positive Pair Sampling for Enhanced Histopathology Image Classification.

Willmer Rafell Quiñones Robles, Sakonporn Noree, Young Sin Ko, Bryan Wong, Jongwoo Kim, Mun Yong Yi

CoRR, March, 2025

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

SeongYeub Chu, Jong Woo Kim, Bryan Wong, Mun Yong Yi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

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

Bryan Wong, Sungrae Hong, Mun Yong Yi

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Towards Classifying Histopathological Microscope Images as Time Series Data.

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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

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, December, 2024

Beyond Right and Wrong: Mitigating Cold Start in Knowledge Tracing Using Large Language Model and Option Weight.

Jongwoo Kim, SeongYeub Chu, Bryan Wong, Mun Yong Yi

CoRR, 2024

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

Bryan Wong, Mun Yong Yi

CoRR, 2024

PreMix: Boosting Multiple Instance Learning in Digital Histopathology through Pre-training with Intra-Batch Slide Mixing.

Bryan Wong, Mun Yong Yi

CoRR, 2024

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

Jongwoo Kim, Bryan Wong, Young Sin Ko, Mun Yong Yi

CoRR, 2024

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning.

Jongwoo Kim, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Mun Yong Yi

CoRR, 2024

2001

Low-cost model reconstruction from image sequences.

Caleb Lyness, Otto-Carl Marte, Bryan Wong, Patrick C. Marais

Proceedings of the 1st International Conference on Computer Graphics, 2001