2 citations · 2 across the 8 of their papers we have counts for
11 papers
PACE: Pareto-Adaptive Compression for Efficient Native MLLMs
Lei Tian, Chunzheng Zhu, Kai Wu +2
Native multimodal large language models (native MLLMs) jointly encode visual and linguistic sequences within a unified autoregressive Transformer, emerging as a promising paradigm…
CRAFT: Causal Responsibility and Failure Tracing in Medical Vision Language Models
Chunzheng Zhu, Jiaqi Zeng, Hongbo Zhao +3
As vision language models are increasingly deployed in clinical diagnosis, understanding how they internally resolve competing visual and textual signals becomes a safety imperativ…
The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy
Chunzheng Zhu, Lei Tian, Bohan Tan +15
The growing ability of large language models and vision-language models to jointly interpret and reason over images and text is reshaping medical imaging AI, moving it from task-sp…
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation
Chunzheng Zhu, Yijun Wang, Jianxin Lin +5
Self-supervised pre-training paradigm has gained increasing prominence for learning transferable representations in medical imaging, yet existing methods for ultrasound (US) images…
Subspace-Guided Semantic and Topological Invariant Registration for Annotation-Free Ultrasound Plane Quality Control
Chunzheng Zhu, Jianxin Lin, Feng Wang +5
Reliable quality control (QC) of ultrasound images is essential for both real-time acquisition guidance and retrospective clinical audit, yet existing approaches rely heavily on pe…
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution
Chunzheng Zhu, Jiaqi Zeng, Junyu Jiang +2
High-precision medical diagnosis relies not only on static imaging features but also on the implicit diagnostic memory experts instantly invoke during image interpretation. We pinp…
Difference Feedback: Generating Multimodal Process-Level Supervision for VLM Reinforcement Learning
Feiding, Yongkang Zhang, Yuhao Liao +10
Vision--language models (VLMs) are increasingly aligned via Group Relative Policy Optimization (GRPO)-style training. However, relying solely on terminal outcome rewards yields spa…
When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models
Jianxin Lin, Chunzheng Zhu, Peter J. Kneuertz +2
Vision-Language Models (VLMs) have enabled interpretable medical diagnosis by integrating visual perception with linguistic reasoning. Yet, existing medical chain-of-thought (CoT)…
fMRI2GES: Co-speech Gesture Reconstruction from fMRI Signal with Dual Brain Decoding Alignment
Chunzheng Zhu, Jialin Shao, Jianxin Lin +4
Understanding how the brain responds to external stimuli and decoding this process has been a significant challenge in neuroscience. While previous studies typically concentrated o…
Pathology-Aware Prototype Evolution via LLM-Driven Semantic Disambiguation for Multicenter Diabetic Retinopathy Diagnosis
Chunzheng Zhu, Yangfang Lin, Jialin Shao +2
Diabetic retinopathy (DR) grading plays a critical role in early clinical intervention and vision preservation. Recent explorations predominantly focus on visual lesion feature ext…
MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis
Chunzheng Zhu, Yangfang Lin, Shen Chen +2
Accurate medical diagnosis often involves progressive visual focusing and iterative reasoning, characteristics commonly observed in clinical workflows. While recent vision-language…