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刘新富

刘新富

23级博士

河海大学

I received my M.E. degree in computer application technology from Yunnan University in 2022. I am currently working toward Ph.D as a member of Delta Lab, under the guidence of Professor Yirui Wu. My current research interests include image segmentation, few-shot learning and incremental learning.

兴趣爱好
  • 图像分割
  • 小样本学习
  • 增量学习
教育经历
  • 计算机应用技术 硕士学位, 2022

    云南大学

最新

  • Multimedia Teaching Framework based on Cyclic Generative LLMs: Taking Sustainability Learning as an Example
  • Edge-Cloud Collaborated Prototype Graph Network for Efficient Few-Shot Object Detection
  • LLM-centric Collaborative Computing Framework: Leveraging Industry Specified Knowledge for Open-set Visual Recognition
  • Zero-shot Medical Image Classification via Large Multimodal Models and Knowledge Graphs-driven Processing
  • Plausible Deniable Medical Image Encryption by Large Language Models and Reversible Content-Aware Strategy
  • Hyperspectral Image Classification Method Based on Global Space-Spectral Attention Mechanism
  • Enhancing Large Language Models with Multimodality and Knowledge Graphs for Hallucination-free Open-set Object Recognition

© 2026 HHU Delta Lab. This work is licensed under CC BY NC ND 4.0

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