祝骋路 🧋
祝骋路

Assistant Researcher

Westlake University

About Me

Chenglu Zhu is an assistant researcher in Artificial Intelligence & Biomedical Image Analysis Lab(Lin Yang’s Lab), School of Engineering, Westlake University. His current research interests include image processing and computer vision, especially the artificial intelligence of medical image analysis.

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Interests
  • Artificial Intelligence
  • Computational Vision
  • BioMedical / Pathology Analysis
Education

  • PhD Control Science & Engineering

    Zhejiang University of Technology

  • BEng Computer Science & Technology

    China jiliang University

📚 My Research

As a research scientist specializing in the intersection of AI and pathology, I am committed to developing robust and efficient diagnostic assistance algorithms that aim to transform the current landscape of pathology.

By integrating fundamental research with clinical practice, my goal is to drive significant breakthroughs in the field, enhancing diagnostic accuracy and patient outcomes.

I am eager to collaborate with fellow researchers and industry experts to advance our understanding and application of AI in pathology, ultimately improving healthcare for all.😃

Featured Publications
PathAsst: Generative Foundation AI Assistant for Pathology
Cascaded residual U-net for fully automatic segmentation of 3D carotid artery in high-resolution multi-contrast MR images
Recent Publications
Yunlong Zhang, Honglin Li, Yunxuan Sun, Sunyi Zheng, Chenglu Zhu, Lin Yang (2025). Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification. Computer Vision – ECCV 2024.
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Yuxuan Sun, Hao Wu, Chenglu Zhu, Sunyi Zheng, Qizi Chen, Kai Zhang, Yunlong Zhang, Dan Wan, Xiaoxiao Lan, Mengyue Zheng, Jingxiong Li, Xinheng Lyu, Tao Lin, Lin Yang (2025). PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology. Computer Vision – ECCV 2024.
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Jingxiong Li, Chenglu Zhu, Sunyi Zheng, Pingyi Chen, Yuxuan Sun, Honglin Li, Lin Yang (2025). ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Pathology Image Synthesis with Cellular-Level Control. IEEE Transactions on Medical Imaging.
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Zhongyi Shui, Yunlong Zhang, Kai Yao, Chenglu Zhu, Sunyi Zheng, Jingxiong Li, Honglin Li, Yuxuan Sun, Ruizhe Guo, Lin Yang (2025). Unleashing the Power of Prompt-Driven Nucleus Instance Segmentation. Computer Vision – ECCV 2024.
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Pingyi Chen, Chenglu Zhu, Sunyi Zheng, Honglin Li, Lin Yang (2025). WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering. Computer Vision – ECCV 2024.
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