Low-cost model reconstruction from image sequences. - Caleb Lyness; Otto-Carl Marte; Bryan Wong; Patrick C. Marais (Afrigraph, 2001)

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning. - Jongwoo Kim; SeongYeub Chu; Hyeongmin Park; 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)

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

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)

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)

Towards Classifying Histopathological Microscope Images as Time Series Data. - Sungrae Hong; Hyeongmin Park; Young Sin Ko; Sol Lee; Bryan Wong; Mun Yong Yi (ISBI, 2025)

Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification. - Bryan Wong; Sungrae Hong; Mun Yong Yi (ISBI, 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 (NAACL (Findings), 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, 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, 2025)