Maximus Yeung — accepted AI-conference papers

2026

Bridging Radiology and Pathology Foundation Models via Concept-Based Multimodal Co-Adaptation

Yihang Chen, Yanyan Huang, Fuying Wang, Maximus Yeung, Yuming Jiang, Shujun Wang +1

ICLR 2026poster

Pretrained medical foundation models (FMs) have shown strong generalization across diverse imaging tasks, such as disease classification in radiology and tumor grading in histopathology. While recent advances in parameter-efficient finetuning have enabled effective adaptation of FMs to downstream ta…

Cited by 0 Source ↗code ↗Scholar ↗

2023

MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis

Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu

AAAI 2023technical

Whole slide image (WSI) has been widely used to assist automated diagnosis under the deep learning fields. However, most previous works only discuss the SINGLE task setting which is not aligned with real clinical setting, where pathologists often conduct multiple diagnosis tasks simultaneously. Also…

Cited by 5 Source ↗PDF ↗Scholar ↗