CV

Education

Hong Kong University of Science and Technology, Dept. CSE, 2022.08 - Present

  • Program: PhD in Computer Science and Engineering
  • Research focus: Computational Pathology, Foundation Models, Vision-language Large Models for Healthcare
  • Supervisor: Prof. Hao Chen

Hong Kong University of Science and Technology, Dept. CSE, 2021.08 - 2022.01

  • Program: Internship for Research in Computational Pathology
  • Supervisor: Prof. Hao Chen

Harbin Institute of Technology (Weihai), School of Science, 2018.09 - 2022.06

  • Major: BSc in Mathematics and Applied Mathematics | GPA: 3.84/4.0 | Ranked 2 / 120 | IELTS-7.5
  • Awards: National Scholarship (1/120) | National Second Prize, National English Competition for College Students

Research Interests

  • Pathology Foundation Models and Their Applications in Real-world Clinical Workflow
  • Multi-modal Language Models / Vision-language Models and Their Applications
  • Multi-modal Learning, especially Whole-slide Image and Genomics Fusion for Precision Oncology

Publications

Research focused on foundation models and vision-language models/large language models, with publications as first/co-first author in top-tier AI/machine learning conferences (e.g., ICML, CVPR, ICLR) and journals (e.g. Nature subsidiary journals).

Selected Publications (# denotes Equal Contribution)

  • (Nature Biomedical Engineering) Ma, Jiabo#, Guo, Zhengrui#, et al. "Towards a generalizable pathology foundation model via unified knowledge distillation." Nature Biomedical Engineering, 2025.
  • (ICML 2025) Guo, Zhengrui, et al. "Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images." Forty-Second International Conference on Machine Learning. 2025.
  • (CVPR 2025) Guo, Zhengrui, et al. "FOCUS: Knowledge-enhanced adaptive visual compression for few-shot whole slide image classification." Proceedings of the Computer Vision and Pattern Recognition Conference. 2025.
  • (ICLR 2025) Guo, Zhengrui, et al. "BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation." The Thirteenth International Conference on Learning Representations. 2025.
  • (TMI 2025) Che, Haoxuan#, Jin, Haibo#, Guo, Zhengrui#, et al. "LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning." IEEE Transactions on Medical Imaging. 2025.
  • (MICCAI 2024) Guo, Zhengrui, et al. "HistGen: Histopathology report generation via local-global feature encoding and crossmodal context interaction." International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2024.

Recent Works on ArXiv

  • (Multi-modal Learning) Sun, Qichen#, Guo, Zhengrui#, et al. "Any-to-Any Learning in Computational Pathology via Triplet Multimodal Pretraining." ArXiv. (2025).
  • (Improved LoRA for Few-shot Learning) Xiong, C., Guo, Zhengrui, et al. "Beyond Linearity: Squeeze-andRecalibrate Blocks for Few-Shot Whole Slide Image Classification." ArXiv. (2025).
  • (Benchmark for Medical Foundation Models) Ma, J., Xu, Y., Zhou, F., Wang, Y., Jin, C., Guo, Zhengrui, et al. "PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology." ArXiv. (2025).
  • (Survey on Medical Image Analysis) Jin, C.#, Guo, Zhengrui#, et al. "Label-efficient deep learning in medical image analysis: Challenges and future directions." ArXiv. (2023).

Research Experiences

Research Intern Hong Kong University of Science and Technology 2021.08 - 2022.01

  • Research Direction: Computational Pathology, Multi-instance Learning
  • Under the supervision of Prof. Hao Chen
  • Research Outcomes: Became familiar with pathology data (whole-slide images) and reproduced existing state-of-the-art multi-instance learning algorithms.

Undergraduate Research Harbin Institute of Technology (Weihai) 2020.04 - 2020.10

  • Research Direction: Applied Mathematics, Control Theory
  • Under the supervision of Prof. Wenxue Li and Dr. Yongbao Wu
  • Research Outcomes: Wu, Y., Guo, Zhengrui, et al. "Stabilization of complex networks under asynchronously intermittent event-triggered control." Automatica 161 (2024): 111493.

Undergraduate Research Harbin Institute of Technology (Weihai) 2019.04 - 2019.10

  • Research Direction: Applied Mathematics, Control Theory
  • Under the supervision of Prof. Wenxue Li and Dr. Yongbao Wu
  • Research Outcomes: Wu, Y., Guo, Zhengrui, et al. "Synchronisation of second‐order stochastic complex dynamical networks via intermittent pinning discrete observations control and their applications." IET Control Theory & Applications 14.20 (2020): 3440-3450.

Patents

  • Towards a Generalizable Pathology Foundation Model via Unified Knowledge Distillation, Application No. 63/771782, US Provisional Patent, In Progress

Service

Competition Organizer

  • MICCAI 2023: Myopic Maculopathy Analysis Challenge (MMAC)
  • Qian, B., ..., Guo, Zhengrui, et al. "A competition for the diagnosis of myopic maculopathy by artificial intelligence algorithms." JAMA ophthalmology 142.11 (2024): 1006-1015.

Reviewer

  • NeurIPS 2025, ICLR 2026

Skills

  • Programming: Python, MATLAB, LaTeX, PyTorch
  • Data Analysis: Pandas, NumPy, SciPy
  • Languages: Chinese (Native), English (Fluent)