Bio
I am a Master candidate at Harbin Institude of Technology, Shenzhen, under
Dr. Yongyong Chen to this.
My primary areas of interest in research are computational imaging, tensor completion, Low-rank decomposition, hyperspectral imaging.
Research Topic
I work in the field of image restoration, computational imaging, and tensor theory. Currently, I specifically focus on the following research topics:
- Image Restoration: All-in-one IR
- Computational Imaging: Snapshot Spectral Imaging
- Tensor Theory: Low-Rank Tensor Representation, Convex and Non-convex Optimization
Publication
Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks
H. Zeng*, X. Wang*, Y. Chen, J. Su, J. Liu [paper] [code]
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2025)
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
X. Wang, H. Zeng and J. Chen et al., [paper] [code]
AAAI Conference on Artificial Intelligence (AAAI 2025)
Awards
- Price of Sheng Li, one of ten graduate students of the university, 10000 RMB scholarship
- Third place in CVPR 2025 New Trends in Image Restoration and Enhancement (NTIRE), The 2nd Restore Any Image Model (RAIM) challenge, CVPR
- Outstanding Graduate, Harbin Institute of Technology (Shenzhen)
- Outstanding Graduation Design, Harbin Institute of Technology (Shenzhen)
- National First Prize & "Champion of the Challenge" Award, National College Student IoT Design Competition (Huawei Cup)