Shenghao Zhu

Shenghao Zhu

Ph.D. Applicant · Fall 2027

Shenghao Zhu

About Shenghao Zhu

Hello! I am a Medical AI Research Intern at Ant Group. I received my B.S. in Computer Science and Technology from Hangzhou Dianzi University in May 2026. My long-term goal is to build reliable, clinically grounded AI systems that make precision medicine accessible to more people.

My research interests span medical image analysis and multi-turn agents. I am particularly interested in robust multimodal learning under incomplete clinical inputs, and in agents that integrate heterogeneous evidence and refine their reasoning through sustained interaction.

Research Snapshot

Medical Image Analysis / Multi-Turn Agents

Connecting medical evidence across modalities and interactions to make precise, trustworthy care more accessible.

  • Medical Image Analysis
  • Precision Medicine
  • Multi-Turn Agents

News

  • Our paper AdaMM was published in Medical Image Analysis (Impact Factor: 14.0).
  • We have one paper accepted to CVPR 2026 Findings (ReBorn).
  • We have one paper accepted at MICCAI 2025 (MST-KDNet).
  • We have one paper accepted at IEEE ISBI 2025 as an oral presentation (XLSTM-HVED).
  • We have one paper accepted at IEEE ICASSP 2025 (MSTNet).
  • We have one paper accepted for publication in IEEE Journal of Biomedical and Health Informatics (SCKansformer).
  • Our GFE-Mamba preprint was released on arXiv.

Selected Publications

† co-first author

AdaMM framework for missing-modality brain tumor segmentation MedIA 2026

No Modality Left Behind: Adapting to Missing Modalities via Knowledge Distillation for Brain Tumor Segmentation

Shenghao Zhu, Yifei Chen, Weihong Chen, et al.

Medical Image Analysis, 2026 · First author

ReBorn framework for robust segmentation under modality degradation CVPR 2026 Findings

ReBorn: Turning Full-Modality Segmentation Models into Missing-Modality Survivors

Shenghao Zhu, Yifei Chen, Weihong Chen, et al.

CVPR 2026 Findings · First author

MST-KDNet framework for brain tumor segmentation with missing modalities MICCAI 2025

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

Shenghao Zhu, Yifei Chen, Weihong Chen, et al.

MICCAI 2025 · First author

XLSTM-HVED model for cross-modal segmentation and MRI reconstruction ISBI 2025 Oral

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder

Shenghao Zhu, Yifei Chen, Shuo Jiang, et al.

IEEE ISBI 2025 · Oral Presentation · First author

MSTNet multimodal architecture for early Alzheimer's disease detection ICASSP 2025

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach

Yifei Chen, Shenghao Zhu, et al.

IEEE ICASSP 2025 · Second author

SCKansformer architecture for fine-grained bone marrow cell classification IEEE JBHI 2024

SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms

Yifei Chen, Zhu Zhu, Shenghao Zhu, et al.

IEEE Journal of Biomedical and Health Informatics, 2024 · Coauthor

GFE-Mamba multimodal progression assessment framework Under Review

GFE-Mamba: Mamba-Based AD Multimodal Progression Assessment via Generative Feature Extraction from MCI

Zhaojie Fang†, Shenghao Zhu†, Yifei Chen†, et al.

Information Fusion, under review · Co-first author

Research Experience

Ant Group

Medical AI Research Intern

Supervisor: Dr. Le Lu

March 2026 – Present

Westlake University

Visiting Student, Medical Artificial Intelligence Lab

Supervisor: Prof. Yefeng Zheng

August 2025 – March 2026

Tsinghua University

Research Intern, BIRTH Lab

Supervisor: Prof. Qiyuan Tian

June 2024 – August 2025

SRIBD / CUHK-Shenzhen and HDU 3DV Lab

Research Intern

Supervisors: Prof. Changmiao Wang and Prof. Feiwei Qin

August 2023 – June 2024

Education

Hangzhou Dianzi University

B.S. in Computer Science and Technology

September 2022 – May 2026

Honors & Awards

  • 2024 & 2025 · Zhejiang Provincial Government Scholarship
  • 2024 · National First Prize, China College Students' Service Outsourcing Innovation and Entrepreneurship Competition, Enterprise Proposition Category
  • 2024 · National Second Prize, Chinese Collegiate Computing Competition, Big Data Practice Track
  • 2024 · National Bronze Award, China International College Students' Innovation Competition
  • Science and Technology Innovation Star

Project Leadership

  • Project Lead, National Undergraduate Innovation and Entrepreneurship Training Program, 2024
  • Project Lead, Zhejiang Provincial Undergraduate Scientific and Technological Innovation Activities Program, 2024

Academic Service

Reviewer for the IEEE Journal of Biomedical and Health Informatics (JBHI) and IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS).

Technical Skills

Research: missing-modality segmentation, multimodal fusion, knowledge distillation, medical image analysis, and computer vision.

Tools: PyTorch, OpenCV, Linux, LaTeX, SGLang, and vLLM.