🌞 Dengyang Jiang

Hi, there! I'm Dengyang Jiang, currenctly an undergraduated student from Northwestern Polytechnical University, supervised by Prof. Lei Zhang.

My research interests encompass deep learning and computer vision, with a particular focus on visual generation (diffusion model, synthetic dataset), visual representation (self-supervised learning), and visual perception (segmentation, affordance grounding).

I am delighted to communicate and collaborate with anyone who has an interest in computer vision and deep learning. Feel free to contact me via Email or Xiaohongshu(RedNote).

profile photo

Education Experience

School of Automation, Northwestern Polytechnical University, 2022-2026
B.S.E., supervised by Prof. Lei Zhang.

Work Experience

SGIT AI Lab, State Grid Corporation of China, 2024.6-present
Research Intern, mentored by Prof. Mengmeng Wang.

Publications (Google Scholar)

Low-Biased General Annotated Dataset Generation
Dengyang Jiang*, Haoyu Wang*, Lei Zhang†, Wei Wei, Guang Dai, Mengmeng Wang, Jingdong Wang, Yanning Zhang
CVPR, 2025
paper / code
A low-biased general annotated dataset (e.g, ImageNet) generation framework helps to obtain more robust and generalized visual backbones.

This web is is adapted from Jon Barron's website.