Hi there! I'm Kun Wu, a PhD student in Pattern Recognition and Intelligent Systems at Beihang University. I joined the REMEX lab in 2021, advised by Professor Zhiguo Jiang and Associate Professor Yushan Zheng.
I have been working on machine learning for digital pathology, with a focus on representation learning and self-supervised methods for gigapixel histopathology WSIs.
Opportunities
Open to Internship Opportunities
Seeking roles in multimodal foundation models
My research focuses on multimodal medical foundation models. I am currently seeking internship opportunities related to multimodal large language models and vision-language large models. Please feel free to contact me if there are relevant openings or collaboration opportunities.
News
🎉 Our paper Histopathology-Genomics Multi-modal Structural Representation Learning for Data-Efficient Precision Oncology has been accepted by ICLR 2026
📄 Our paper Lifelong Content-based Histopathology Image Retrieval via Bilevel Coreset Selection and Distance Consistency Rehearsal has been accepted by Pattern Recognition
📊 Our paper Pan-cancer histopathology WSI pre-training with position-aware masked autoencoder has been accepted by IEEE Transactions on Medical Imaging
🏆 Our paper Lifelong histopathology whole slide image retrieval via distance consistency rehearsal has been accepted by MICCAI 2024
🔬 Our paper Histopathology language-image representation learning for fine-grained digital pathology cross-modal retrieval has been accepted by Medical Image Analysis
Education
Ph.D. in Pattern Recognition and Intelligent Systems
Beihang University - Beijing, China
B.Eng. in Software Engineering
Hefei University of Technology - Anhui, China