I am a M.Eng student at Department of Electrical and Computer Engineering, National University of Singapore, supervised by Prof. Yueming Jin. Before that, I received my B.Eng degree from Harbin Institute of Technology (Shenzhen), advised by Prof. Yongbing Zhang.

My research interests include computer vision techniques—particularly image and video segmentation and agentic AI systems, with a focus on their applications in medical domains such as radiology, surgery, and pathology. I have published more than 10 papers at the top conferences and journals with a total google scholar citations 800+.

🔥 News

  • 2026.06   Actively seeking Ph.D positions in medical AI and agentic AI in 2026 Fall. If you’re interested in collaboration, feel free to reach out!
  • 2025.07:  🎉🎉 Our paper “EIR-SDG: Explore Invariant Representation for Single-source Domain Generalization in Medical Image Segmentation” has been accepted by ACM MM 2025.
  • 2025.06:  🎉🎉 Our paper “Structure Matters: Revisiting Boundary Refinement in Video Object Segmentation” has been accepted by ICCV 2025 (Highlight, top 10%).
  • 2025.05:  🎉🎉 Our paper “ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking” has been early accepted by MICCAI 2025 (top 9%).
  • 2025.04:  🎉🎉 Our paper “The Four Color Theorem for Cell Instance Segmentation” has been accepted by ICML 2025.
  • 2025.03:  🎉🎉 Our paper “Seine: Structure encoding and interaction network for nuclei instance segmentation” has been accepted by IEEE JBHI.
  • 2025.02:  🎉🎉 Our paper “Medical sam adapter: Adapting segment anything model for medical image segmentation” has been accepted by MedIA.
  • 2024.12:  🎉🎉 Our paper “Multi-scale Context Intertwining for Panoramic Renal Pathology Segmentation” has been accepted by ICASSP 2025.
  • 2024.12:  🎉🎉 Our paper “Dawn: Domain-adaptive weakly supervised nuclei segmentation via cross-task interactions” has been accepted by IEEE TCSVT.
  • 2024.5:  🎉🎉 Our paper “Dynamic pseudo label optimization in point-supervised nuclei segmentation” has been early accepted by MICCAI 2024 (top11%).
  • 2024.2:  🎉🎉 Our paper “Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation” has been accepted by MIDL 2024 (Oral).

📝 Selected Publications

Under Review
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Medagent-pro: Towards evidence-based multi-modal medical diagnosis via reasoning agentic workflow

Ziyue Wang, Junde Wu, Linghan Cai, Chang Han Low, Xihong Yang, Qiaxuan Li, Yueming Jin

  • We present an evidence-based reasoning agentic system with both quantitative and qualitative evidence for explainable medical diagnosis.
Under Review
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Surgraw: Multi-agent workflow with chain-of-thought reasoning for surgical intelligence

Chang Han Low, Ziyue Wang, Tianyi Zhang, Zhitao Zeng, Zhuo Zhu, Evangelos B. Mazomenos, Yueming Jin

  • We present a CoT-driven multi-agent framework for accurate and interpretable analysis of surgical vision tasks.
ICCV25 (Highlight)
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Structure Matters: Revisiting Boundary Refinement in Video Object Segmentation

Guanyi Qin*, Ziyue Wang*, Daiyun Shen, Haofeng Liu, Hantao Zhou, Junde Wu, Runze Hu, Yueming Jin

  • We propose a novel boundary amendment video object segmentation method with inherent structure refinement
MedIA (IF=10.7)
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Medical sam adapter: Adapting segment anything model for medical image segmentation

Junde Wu, Ziyue Wang, Mingxuan Hong, Wei Ji, Huazhu Fu, Yanwu Xu, Min Xu, Yueming Jin

  • We present a simple yet effective adaptation technique, to extend SAM to medical domain.
  • Received over 600 citations on google scholar.
MICCAI25 (CCF-B)
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Dynamic pseudo label optimization in point-supervised nuclei segmentation

Ziyue Wang*, Ye Zhang*, Yifeng Wang*, Linghan Cai, Yongbing Zhang

  • We present a framework leverage CAM to achieve accurate weak-supervised nuclei segmentation.
MIDL24 (Oral)
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Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation

Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang

  • We proposes a boundary-aware contrastive learning network to denoise the boundary noise for semi-supervised nuclei segmentation.

🎖 Honors and Awards

  • 2023.10 Second-class academic schorlarship of undergraduate (top 10%).
  • 2022.10 Second-class academic schorlarship of undergraduate (top 10%).
  • 2022.10 11th of the NeurIPS22 Cellseg challenge among 500 teams, Paper here
  • 2022.6 11th of the MIDOG2022 challenge of MICCAI2023, Paper here

📖 Educations

  • 2024.08 - 2026.06 (now), M.Eng. Student (Master by Research) at Department of Electrical and Coomputer Engineering, National University of Singapore, supervised by Prof. Yueming Jin.
  • 2020.09 - 2024.07, B.Eng. Student at Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), supervised by Prof. Yongbing Zhang.

💻 Internships

  • 2021.10 - 2024.06, Research Assistant in Harbin Institute of Technology (Shenzhen) and Tsinghua Shenzhen International Graduate School, supervised by Prof. Yongbing Zhang.