About Me

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. I am a core initiator of Mt-aistudio, a research group focusing on computer vision.

My research focuses on AI for healthcare, emphasizing structure-aware methods for image generation, reconstruction, and enhancement . By integrating anatomical priors and explicit structural constraints, I aim to improve the reliability and clinical relevance of learned representations. I am particularly interested in approaches translatable to real-world clinical workflows. In parallel, I explore physics-informed intelligence to better align learning-based models with underlying physical and imaging principles .

Email: zhifengwang@nudt.edu.cn / zhifengwang686@gmail.com

Open to research-oriented collaborations in AI for Healthcare, and other areas of computer vision.

Current Focus

  • Structure-aware Medical Imaging
  • Medical Image Reconstruction & Enhancement
  • Generative Modeling
  • Clinical Visualization & Analysis
  • Physics-informed Intelligence
“As a result of this honesty, we are forced to doubt.” — Richard Feynman

🔥 News

  • 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).
+ More

📝 Publications

Preprint 2025
BoVAR teaser
BoVAR: Learning Adaptive Routing and Hierarchical Attention for Variable-Aperture Bokeh Rendering
Kang Chen, Shijun Yan, Zhifeng Wang, Aiwen Jiang.
  • Under Review, 2025.
CVPR 2025
VasTSD teaser
VasTSD: Learning 3D Vascular Tree-state Space Diffusion Model for Angiography Synthesis
Zhifeng Wang, Renjiao Yi, Xin Wen, Chenyang Zhu✉, Kai Xu✉
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
TVC 2025
Angio-Diff teaser
Angio-Diff: Learning a Self-Supervised Adversarial Diffusion Model for Angiographic Geometry Generation
Zhifeng Wang, Renjiao Yi✉, Xin Wen, Chenyang Zhu, Kai Xu, Kunlun He✉
  • The Visual Computer, 2025.
Meta-Radiology 2024
Survey teaser
Cardiovascular medical image and analysis based on 3D vision: A comprehensive survey
Zhifeng Wang, Renjiao Yi✉, Xin Wen, Chenyang Zhu, Kai Xu
  • Meta-Radiology, 2024.
PRCV 2022
PRCV teaser
JVCIR 2022
JVCIR teaser
Self-supervised multi-scale pyramid fusion networks for realistic bokeh effect rendering
Zhifeng Wang, Aiwen Jiang✉, Chunjie Zhang, Hanxi Li, Bo Liu
  • Journal of Visual Communication and Image Representation (JVCIR), 2022.

🎖 Honors and Awards

CVPRW 2025
MAI 2025 Bokeh Winner Certificate
Mobile AI Workshop and Challenges 2025
Organized by CVPR2025
  • MAI 2025 Bokeh Effect Rendering Challenge.
  • Winner.
  • 2025.11 China National Scholarship (3/183), 2025.
  • 2022.11 China National Scholarship (Top 0.2%), 2022.
  • 2022.09 First-class Academic Scholarship, 2022.
  • 2021.09 First-class Academic Scholarship, 2021.
  • 2020.09 First-class Academic Scholarship, 2020.

📖 Services

  • Reviewers: PRCV’23/24, CAD/CG, JVCIR, PG.
  • Memberships: IEEE Student Member, CSIG Student Member, CAAI Student Member, CVF Member.

💻 Internships


I know I am not the perfect one, yet aspire to chase the world and achieve greatness @ Zhifeng Wang — Latest update: 2025-11-04