Zhifeng Wang

About Me

Available for collaborations

Hi, I am Zhifeng Wang (汪智峰), a third-year master's student at the College of Computer Science and Technology, National University of Defense Technology, advised by Prof. Kai Xu and Assoc. Prof. Renjiao Yi.

My research focuses on computer vision and medical AI, building world models and large language models that perceive, reason about, and generate the visual world. By integrating structural priors and explicit physical constraints, I aim to improve the robustness and generalization of learned representations for real-world deployment. In parallel, I explore physics-informed intelligence to better align learning-based models with underlying physical and imaging principles .

Current Focus

🌍 World Models & Simulation 👁️ Computer Vision & 3D 🧠 Large Language Models 🏥 Medical AI & Imaging ✨ Generative Modeling ⚛️ Physics-informed Intelligence

Highlights

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8+ Papers

Published / Under review
🏆

CVPR 2025

Top-tier CV conference (CCF-A)
🥇

1st Place

CVPR'25W · MAI Bokeh Challenge
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2× National Scholar.

Top 0.2% · Rank 3 / 183

Open to research-oriented collaborations in computer vision, medical AI, world models, and large language models.

As a result of this honesty, we are forced to doubt. — Richard Feynman

🛠 Tools & Projects

Paperscope

Live

Discover · Browse · Explore AI papers

A comprehensive platform for AI research papers. Search and explore cutting-edge work in computer vision and medical imaging.

Mt-aistudio

Core Member

CV Research Group · Collaborative

A research group focusing on computer vision and generative modeling. Collaborate with peers on cutting-edge CV projects.

🔥 News

2026.04🎉 One paper is accepted by ICML 2026, Congratulations to Xingyue.
2026.01🎉 One paper is accepted by ICASSP 2026, Congratulations to Lubing.
2025.11🎉 Awarded the China National Scholarship (Ranking 3/183).
2025.05🎉 One paper is accepted by TVC Journal.
2025.04🎉 Won 1st place in the CVPR2025W "Mobile AI 2025 Real-Time Rendering Realistic Bokeh Challenge", Congratulations to Kang.
2025.04🎉 Won 6th place in the CVPR2025W "Mobile AI Challenge: RGB Photo Enhancement on Mobile GPUs", Congratulations to Runhua.
2025.02🎉 One paper is accepted by CVPR 2025 (CCF-A).
2024.09🎉 One paper is accepted by Meta-Radiology.
2024.07🎉 One paper is accepted by FCS Journal (CCF-T1).
2024.05🎉 One paper is accepted by ICIP 2024.
2022.12🎉 Awarded the China National Scholarship (Top 0.2%).
2022.10🎉 One paper is accepted by PRCV.
2022.06🎉 One paper is accepted by JVCIR Journal.