Ye Qin is is currently a Undergraduate researcher at Guangdong University of Technology, supervised by Prof.Jinghui Qin. His research interests include Computer Vision, Large Language Model and Data Mining.

Email: 748503891@qq.com (Please state your purpose/请您注明来意)

🌌 Long-term Goal / 长期目标

🧠 AI Image Detection / AI图像检测

To build a computational framework capable of accurately detecting AI-generated imagery, demonstrating state-of-the-art robustness and cross-paradigm generalization across both known and novel generative paradigms, while requiring only minimal samples for precise adaptation to enable rapid and accurate inference.

致力于建立一个能够准确检测人工智能生成图像的计算框架，在已知和新的生成范式中表现出最先进的鲁棒性和跨范式泛化，同时只需要很少的样本进行精确适应，以实现快速准确的推理。

🔎 Research Interests / 研究兴趣

1. AI-Generated Image Detection / AI生成图像检测

2. Optimization and Enhancement of AIGC Image Generation / 优化与增强AIGC

3. Data Mining / 数据挖掘

   • Graph Representation Learning / 图表示学习

Publication

Details in Publications Page

Total Publications: 2

• 🔹 First Author

• 🕒 Under Review

• 🕒 🔹Fake Never Real: Detecting Diffusion-generated lmages with Feature Disentanglement Enhanced Vision-Language Model (CVPR 26)

• 🔹 PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning (WSDM 26)