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2020 – today
- 2025
[c6]Jongwoo Kim
, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Keejun Han, Mun Yong Yi:
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning. CIKM 2025: 1334-1343- [c5]Sungrae Hong, Hyeongmin Park, Young Sin Ko, Sol Lee, Bryan Wong, Mun Yong Yi:
Towards Classifying Histopathological Microscope Images as Time Series Data. ISBI 2025: 1-5 - [c4]Bryan Wong, Sungrae Hong, Mun Yong Yi:
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification. ISBI 2025: 1-5 - [c3]Jongwoo Kim, Bryan Wong, Huazhu Fu, Willmer Rafell Quiñones Robles, Young Sin Ko, Mun Yong Yi:
MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images. MICCAI (1) 2025: 386-396 - [c2]SeongYeub Chu, Jong Woo Kim, Bryan Wong, Mun Yong Yi:
Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs. NAACL (Findings) 2025: 5796-5814 - [i9]Willmer Rafell Quiñones Robles, Sakonporn Noree, Young Sin Ko, Bryan Wong, Jongwoo Kim, Mun Yong Yi:
Spatial Context-Driven Positive Pair Sampling for Enhanced Histopathology Image Classification. CoRR abs/2503.05170 (2025) - [i8]Bryan Wong, Jong Woo Kim, Huazhu Fu, Mun Yong Yi:
Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling. CoRR abs/2505.17982 (2025) - [i7]Sungrae Hong, Hyeongmin Park, Young Sin Ko, Sol Lee, Bryan Wong, Mun Yong Yi:
Towards Classifying Histopathological Microscope Images as Time Series Data. CoRR abs/2506.15977 (2025) - 2024
- [j1]Mujin Kim, Willmer Rafell Quiñones Robles, Young Sin Ko, Bryan Wong, Sol Lee, Mun Yong Yi:
A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace. BMC Medical Imaging 24(1): 5 (2024) - [i6]Jongwoo Kim, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Mun Yong Yi:
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning. CoRR abs/2407.20648 (2024) - [i5]Jongwoo Kim, Bryan Wong, Young Sin Ko, Mun Yong Yi:
MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images. CoRR abs/2407.21604 (2024) - [i4]Bryan Wong, Mun Yong Yi:
PreMix: Boosting Multiple Instance Learning in Digital Histopathology through Pre-training with Intra-Batch Slide Mixing. CoRR abs/2408.01162 (2024) - [i3]Bryan Wong, Mun Yong Yi:
Rethinking Pre-trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2408.01167 (2024) - [i2]Jongwoo Kim, SeongYeub Chu, Bryan Wong, Mun Yong Yi:
Beyond Right and Wrong: Mitigating Cold Start in Knowledge Tracing Using Large Language Model and Option Weight. CoRR abs/2410.12872 (2024) - [i1]SeongYeub Chu, Jongwoo Kim, Bryan Wong, Mun Yong Yi:
Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs. CoRR abs/2410.14202 (2024)
2000 – 2009
- 2001
- [c1]Caleb Lyness, Otto-Carl Marte, Bryan Wong, Patrick C. Marais:
Low-cost model reconstruction from image sequences. Afrigraph 2001: 131-135
Coauthor Index
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