About
I am a PhD student at the SMART Lab, Department of Computer Science and Engineering, Hong Kong University of Science and Technology, advised by Prof. Hao Chen. Prior to this, I obtained my BSc degree in Applied Mathematics from Harbin Institute of Technology (Weihai).
My research centers on building generalizable AI systems for computational pathology and biomedical intelligence, with a focus on large vision, vision-language, and multi-modal models that work reliably across diverse scientific and clinical settings. Specific directions include:
- Pathology foundation models: building clinically validated and generalizable pretrained models for whole-slide image analysis and lung pathology interpretation (GPFM, Nature Biomedical Engineering; PulmoFoundation, Under Review)
- Multi-instance learning: developing models that learn from collections of instances, identify task-relevant evidence, and produce robust slide-level / patient-level predictions under weak supervision for pathology diagnosis (FOCUS, CVPR 2025; Querent, ICML 2025)
- Multi-modal learning: developing frameworks that align heterogeneous signals and transfer knowledge across modalities, with applications in computational pathology and computational neuroscience (HistGen, MICCAI 2024; BLEND, ICLR 2025)
In the meantime, I actively collaborate with clinicians and pathologists to translate developed models into real-world diagnostic workflows.
News
Selected Publications
View All →A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation
Zhengrui Guo, Zhengyu Zhang, Jiabo Ma, Yihui Wang, Fengtao Zhou, Yingxue Xu, Ling Liang, Chenglong Zhao, Qi Xie, Jinbang Li, Shujing Guo, Fangyi Han, Zhijian Cen, Ziyi Liu, Cheng Jin, Junlin Hou, Zhixuan Chen, Yu Cai, Lijuan Qu, Shifu Chen, Yueping Liu, Zhe Wang, Xiuming Zhang, Muyan Cai, Li Liang, Hao Chen
Under review, 2026
A generalizable pathology foundation model using a unified knowledge distillation pretraining framework
Jiabo Ma†, Zhengrui Guo†, Fengtao Zhou, Yihui Wang, Yingxue Xu, Jinbang Li, Fang Yan, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Chenglong Zhao, Danyi Li, Anjia Han, Zhenhui Li, Ronald Cheong Kin Chan, Jiguang Wang, Peng Fei, Kwang-Ting Cheng, Shaoting Zhang, Li Liang, Hao Chen.
Nature Biomedical Engineering, 2025
FOCUS: Knowledge-enhanced adaptive visual compression for few-shot whole slide image classification
Zhengrui Guo, Conghao Xiong, Jiabo Ma, Qichen Sun, Lishuang Feng, Jinzhuo Wang, Hao Chen
CVPR 2025
Context matters: Query-aware dynamic long sequence modeling of gigapixel images
Zhengrui Guo, Qichen Sun, Jiabo Ma, Lishuang Feng, Jinzhuo Wang, Hao Chen
ICML 2025
HistGen: Histopathology report generation via local-global feature encoding and cross-modal context interaction
Zhengrui Guo, Jiabo Ma, Yingxue Xu, Yihui Wang, Liansheng Wang, Hao Chen
MICCAI 2024
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation
Zhengrui Guo, Fangxu Zhou, Wei Wu, Qichen Sun, Lishuang Feng, Jinzhuo Wang, Hao Chen
ICLR 2025
Learning with Less Supervision: A Survey of Label-Efficient Learning for Medical Image Analysis
Cheng Jin†, Zhengrui Guo†, Yi Lin, Luyang Luo, Hao Chen
Medical Image Analysis, 2026
LLM-driven medical report generation via communication-efficient heterogeneous federated learning
Haoxuan Che†, Haibo Jin†, Zhengrui Guo†, Yi Lin, Cheng Jin, Hao Chen
IEEE Transactions on Medical Imaging, 2025