I’m currently a 2st-year PhD student in the department of computer and data science, Case Western Reserve University, advised by Prof. Shuo Li. My research interests lie in Multimodal Large Language Models, Efficient Inferencing, Diffusion Models, and Medical Imaging. Email: qingtaopan33@gmail.com

🔥 News

📝 Publications

Efficient MLLM

• CVPR 2026 Findings Frequency-Modulated Visual Restoration for Matryoshka Large Multimodal Models, Qingtao Pan, Zhihao Dou, Shuo Li.
• Under Review [Partition-then-Prune: Accelerating VLLMs via Anisotropic Octree Partitioning and Sub-Supermodular Pruning], Qingtao Pan, Shuo Li.
• Under Review [DiCoPruner: Balancing Vision Token Diversity and Semantic Completeness in MLLM Token Pruning], Qingtao Pan, Shuo Li.

T2I Diffusion

• ECCV 2026 ELDiff: When Evidential Learning Meets Text-to-Image Diffusion, Qingtao Pan, Kai Ye, Zhihao Dou, Bing Ji, Shuo Li.

LLM Reasoning

• CVPR 2026 Main Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling, Kai Ye, Qingtao Pan, Shuo Li.
• ICML 2026 Plan Then Action: High-Level Planning Guidance Reinforcement Learning for LLM Reasoning, Zhihao Dou,…, Qingtao Pan, et al.
• JKSUCIS ER-MedRAG: A multi-agent reinforcement learning framework for reliable clinical retrieval-augmented reasoning, Pengyan Shi, Yuhan Shui, Ruohan JIn, Qingtao Pan.
• arXiv 2026 STRIDE: Strategic Trajectory Reasoning via Discriminative Estimation for Verifiable Reinforcement Learning, Qinjian Zhao,…, Qingtao Pan, et al.

VLM for Image Segmentation

• MICCAI 2026 CPS4: Class Prompt driven Semi-Supervised Spine Segmentation with Class-specific Consistency Constraint, Qingtao Pan, Hongzan Sun, Bing Ji, Shuo Li.
• IEEE TMI EviVLM: When Evidential Learning Meets Vision Language Model for Medical Image Segmentation, Qingtao Pan, Zhengrong Li, Guang Yang, Qing Yang, Bing Ji.
• IEEE TMI AMVLM: Alignment-Multiplicity Aware Vision-Language Model for Semi-Supervised Medical Image Segmentation, Qingtao Pan, Zhengrong Li, Wenhao Qiao, Jingjiao Lou, Qing Yang, Guang Yang, Bing Ji.
• AAAI 2025 DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation, Qingtao Pan, Wenhao Qiao, Jingjiao Lou, Bing Ji, Shuo Li.
• Neurocomputing Evidential learning driven Breast Tumor Segmentation with Stage-divided Vision-Language Interaction, Jingxing Zhong, Qingtao Pan, Xuchang Zhou, Jiazhen Lin.

Others

• INS Long-short-view aware multi-agent reinforcement learning for signal snippet distillation in delirium movement detection, Qingtao Pan, Hao Wang, Jingjiao Lou, Yuyan Zhang, Bing Ji, Shuo Li.
• MICCAI 2025 PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification, Jingjiao Lou, Qingtao Pan, Qing Yang, Bing Ji.
• IEEE TCSVT ICMIL: An Interactive Contrastive Multiple Instance Learning Framework Using Foundation Model Features for Histopathology Image Classification, Jingjiao Lou, Qingtao Pan, Qing Yang, Guang Yang, Bing Ji, Shuo Li.

🎖 Honors and Awards

• 2026.06 CVPR Compute Transparency Champion Award (Paper: FMVR)
• 2025.05 Outstanding Graduate of Shandong University
• 2024.11 National Scholarship (Top 1%)
• 2022.11 National Endeavor Fellowship (Undergraduate)
• 2019.11 National Endeavor Fellowship (Undergraduate)

💻 Services

Conference Reviewer:

ICML, NeurIPS, MICCAI

Journal Reviewer:

• Information Fusion
• Pattern Recognition
• IEEE Journal of Biomedical and Health Informatics
• Knowledge-Based Systems
• Biomedical Signal Processing and Control
• iScience
• Applied Soft Computing

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