Chunzheng Zhu

Chunzheng Zhu

Ph.D. Candidate

Hunan University

Biography

I am a Ph.D. candidate in Computer Science and Technology at Hunan University and a Research Intern at ByteDance. My research focuses on multimodal large language models, agentic reinforcement learning, representation learning, and medical AI. I develop efficient and trustworthy multimodal systems through post training, long horizon data synthesis, visual token compression, and reasoning oriented evaluation.

Expected PhD graduation: June 2027.

Interests
  • Multimodal Large Language Models
  • Agentic Reinforcement Learning
  • Representation Learning
  • Medical AI
  • Computer Vision
Education

  • Ph.D. in Computer Science and Technology, 2022.09 - 2027.06

    Hunan University

  • B.Eng. in Data Science and Big Data Technology, 2018.09 - 2022.06

    Minzu University of China

Experience

Research Intern

ByteDance
Research on post training for native multimodal large language models, biomedical mid training, capability optimization, and evaluation. Developed efficient visual token compression methods and built pipelines for heterogeneous biomedical data integration and long horizon reasoning data synthesis.

Student Researcher

National Supercomputing Center in Changsha
Research on AI assisted fetal ultrasound diagnosis and post training of medical multimodal large language models. Developed self supervised and continual learning methods for ultrasound and explored agentic reinforcement learning, reflection, and latent reasoning for medical reasoning.

Publications

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All Featured Publications
The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy
Chunzheng Zhu, Lei Tian, Bohan Tan, Ziqi Zhou, Yuxuan Sun, Yijun Wang, Chengchao Lv, Yilin Wen, Yijun He, Jinghao Lin, Yihang Chen, Cheewei Tan, Qianshan Wei, Lei Zhao, Bin Pu, Kenli Li, Yuan Xue, Jianxin Lin
arXiv preprint arXiv:2607.11175, 2026
A survey and roadmap for scaling medical agents from clinical assistance toward autonomous, self-evolving clinical systems.
PDF Project DOI Paper Project
The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution
Chunzheng Zhu, Jiaqi Zeng, Junyu Jiang, Jianxin Lin, Yijun Wang
European Conference on Computer Vision (ECCV), 2026
A latent diagnostic memory evolution framework that bridges visual perception and clinical intuition in medical VLMs.
Code DOI Paper
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation
Chunzheng Zhu, Yijun Wang, Jianxin Lin, Feng Wang, Hongwei Wang, Lei Zhao, Shengli Li, Kenli Li
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026)
Anatomy-anchored self-supervised learning for invariant ultrasound representation.
Code Paper
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation
Subspace-Guided Semantic and Topological Invariant Registration for Annotation-Free Ultrasound Plane Quality Control
Chunzheng Zhu, Jianxin Lin, Feng Wang, Cheng Jiang, Guanghua Tan, Zhenyu Zhou, Shengli Li, Kenli Li
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026)
Annotation-free ultrasound plane quality control with subspace-guided registration.
Code Paper
Subspace-Guided Semantic and Topological Invariant Registration for Annotation-Free Ultrasound Plane Quality Control
When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models
Jianxin Lin†, Chunzheng Zhu†, Peter J. Kneuertz, Yunfei Bai, Yuan Xue
IEEE/CVF Conference on Computer Vision and Pattern Recognition Findings (CVPR Findings), 2026
Adaptive causal reasoning with self-reflection for trustworthy medical vision-language models.
Code DOI Paper
When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models
MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis
Chunzheng Zhu, Yangfang Lin, Shen Chen, Yijun Wang, Jianxin Lin
Proceedings of the AAAI Conference on Artificial Intelligence, 2026
A reinforcement learning framework that models clinician-style dynamic visual focusing for medical progressive diagnosis.
Code DOI Paper
MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis
fMRI2GES: Co-Speech Gesture Reconstruction From fMRI Signal With Dual Brain Decoding Alignment
Chunzheng Zhu, Jialin Shao, Jianxin Lin, Yijun Wang, Jing Wang, Jinhui Tang, Kenli Li
IEEE Transactions on Circuits and Systems for Video Technology, 2025
Co-speech gesture reconstruction from fMRI signals with dual brain decoding alignment.
Paper
fMRI2GES: Co-Speech Gesture Reconstruction From fMRI Signal With Dual Brain Decoding Alignment
Pathology-Aware Prototype Evolution via LLM-Driven Semantic Disambiguation for Multicenter Diabetic Retinopathy Diagnosis
Chunzheng Zhu, Yangfang Lin, Jialin Shao, Jianxin Lin, Yijun Wang
Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), 2025
LLM-driven pathology-aware prototype evolution for multicenter diabetic retinopathy diagnosis.
Code DOI Paper
Pathology-Aware Prototype Evolution via LLM-Driven Semantic Disambiguation for Multicenter Diabetic Retinopathy Diagnosis
Advancing Ultrasound Medical Continuous Learning with Task-Specific Generalization and Adaptability
Chunzheng Zhu, Jianxin Lin, Guanghua Tan, Ningbo Zhu, Kenli Li, Chunlian Wang, Shengli Li
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
Task-specific continual learning for ultrasound medical image analysis.
Paper
Advancing Ultrasound Medical Continuous Learning with Task-Specific Generalization and Adaptability

Awards

First Prize, 19th Challenge Cup Artificial Intelligence+ Special Competition
Challenge Cup Jan 2025
Global-leading AI + ultrasound technology solution.
Outstanding Graduate Student, Hunan University, 2024-2025
Hunan University Jan 2025
Outstanding Graduate Student, Hunan University, 2023-2024
Hunan University Jan 2024
Second Prize, MathorCup Big Data Challenge for Graduate Students
MathorCup Jan 2023
Third Prize, China Graduate Mathematical Contest in Modeling
China Graduate Mathematical Contest in Modeling Jan 2023
First-Class Academic Scholarship, Minzu University of China, 2021-2022
Minzu University of China Jan 2022
Second-Class Academic Scholarship, Minzu University of China, 2020-2021
Minzu University of China Jan 2021
Meritorious Winner, Mathematical Contest in Modeling
Mathematical Contest in Modeling Jan 2020
National Second Prize, China Computer Design Competition
China Computer Design Competition Jan 2020
First Prize, Beijing Division, CUMCM
Contemporary Undergraduate Mathematical Contest in Modeling Jan 2020
Second Prize, Beijing Undergraduate Animation Design Competition
Beijing Undergraduate Animation Design Competition Jan 2019