Bryan Wong - RankMe

17 papers A 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling. CoRR Bryan Wong, Jong Woo Kim, Huazhu Fu, Mun Yong Yi
2025	A	`conf`	Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning. CIKM Jongwoo Kim, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Keejun Han, Mun Yong Yi
2025	—	`conf`	MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images. MICCAI (1) Jongwoo Kim, Bryan Wong, Huazhu Fu, Willmer Rafell Quiñones Robles, Young Sin Ko, Mun Yong Yi
2025	—	`conf`	Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing. EMNLP (Findings) Jongwoo Kim, SeongYeub Chu, Bryan Wong, Mun Yong Yi
2025	—	`conf`	Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs. NAACL (Findings) SeongYeub Chu, Jong Woo Kim, Bryan Wong, Mun Yong Yi
2025	—	`conf`	Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification. ISBI Bryan Wong, Sungrae Hong, Mun Yong Yi
2025	J	`jnl`	Spatial Context-Driven Positive Pair Sampling for Enhanced Histopathology Image Classification. CoRR Willmer Rafell Quiñones Robles, Sakonporn Noree, Young Sin Ko, Bryan Wong, Jongwoo Kim, Mun Yong Yi
2025	—	`conf`	Towards Classifying Histopathological Microscope Images as Time Series Data. ISBI Sungrae Hong, Hyeongmin Park, Young Sin Ko, Sol Lee, Bryan Wong, Mun Yong Yi
2025	J	`jnl`	Towards Classifying Histopathological Microscope Images as Time Series Data. CoRR Sungrae Hong, Hyeongmin Park, Young Sin Ko, Sol Lee, Bryan Wong, Mun Yong Yi
2024	J	`jnl`	A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace. BMC Medical Imaging Mujin Kim, Willmer Rafell Quiñones Robles, Young Sin Ko, Bryan Wong, Sol Lee, Mun Yong Yi
2024	J	`jnl`	Beyond Right and Wrong: Mitigating Cold Start in Knowledge Tracing Using Large Language Model and Option Weight. CoRR Jongwoo Kim, SeongYeub Chu, Bryan Wong, Mun Yong Yi
2024	J	`jnl`	Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning. CoRR Jongwoo Kim, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Mun Yong Yi
2024	J	`jnl`	MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images. CoRR Jongwoo Kim, Bryan Wong, Young Sin Ko, Mun Yong Yi
2024	J	`jnl`	PreMix: Boosting Multiple Instance Learning in Digital Histopathology through Pre-training with Intra-Batch Slide Mixing. CoRR Bryan Wong, Mun Yong Yi
2024	J	`jnl`	Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs. CoRR SeongYeub Chu, Jongwoo Kim, Bryan Wong, Mun Yong Yi
2024	J	`jnl`	Rethinking Pre-trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification. CoRR Bryan Wong, Mun Yong Yi
2001	—	`conf`	Low-cost model reconstruction from image sequences. Afrigraph Caleb Lyness, Otto-Carl Marte, Bryan Wong, Patrick C. Marais