About
I am a PhD student at The University of Hong Kong, supervised by Prof. Lequan Yu. I received my MPhil degree from Zhejiang University in 2023 and B.Eng degree from Harbin Institute of Technology in 2020.
My research lies at the intersection of artificial intelligence and medical image analysis, with a particular focus on computational pathology. I develop deep learning methods to enhance diagnostic capabilities and improve model generalizability.
I am also a Kaggle Competitions Master with three Gold and two Silver medals.
News
Our paper "Bridging Radiology and Pathology Foundation Models via Concept-Based Multimodal Co-Adaptation" has been accepted by ICLR 2026!
Our paper "FADFNet: A Fine-tunable and Adaptive Decomposition-Fusion Network for Cross-dataset Low-dose CT and Low-dose PET Image Reconstruction" has been accepted by Medical Image Analysis (MedIA)!
Our work on the generalization and fairness of pathology FMs has been accepted by Nature Communications!
Achieved a solo Gold Medal in Kaggle's "Drawing with LLMs" Competition!
Three papers were early accepted by MICCAI 2025, congrats to my co-authors!
Selected Publications
View All →Knowledge-Guided Adaptation of Pathology Foundation Models Effectively Improves Cross-domain Generalization and Demographic Fairness
Yanyan Huang, Weiqin Zhao, Zhengyu Zhang, Yihang Chen, Yu Fu, Feng Wu, Yuming Jiang, Li Liang, Shujun Wang, Lequan Yu†
Nature Communications, 2025
Free lunch in pathology foundation model: Task-specific model adaptation with concept-guided feature enhancement
Yanyan Huang, Weiqin Zhao, Yihang Chen, Yu Fu, Lequan Yu†
Advances in Neural Information Processing Systems (NeurIPS), 2024
Unleash the Power of State Space Model for Whole Slide Image With Local Aware Scanning and Importance Resampling
Yanyan Huang, Weiqin Zhao, Yu Fu, Lingting Zhu, Lequan Yu†
IEEE Transactions on Medical Imaging (TMI), 2024
Conslide: Asynchronous hierarchical interaction transformer with breakup-reorganize rehearsal for continual whole slide image analysis
Yanyan Huang, Weiqin Zhao, Shujun Wang, Yu Fu, Yuming Jiang, Lequan Yu†
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma
Yanyan Huang, Wanli Zhang, Peixiang Huang, Yu Fu, Ruimeng Yang, Lequan Yu†
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
