Bio
I received my B.E. in Computer Science from Harbin Institute of Technology (Shenzhen), ranking in the top 15%.
Currently, I am a master's student at the same institution, ranking in the top 5% of the program, advised by
Dr. Yongyong Chen.
My primary research interests include low-level vision, computational imaging and optimization theory.
And I'm currently interning at Y-Lab, OPPO Research Institute.
Feel free to reach out!
Research Topic
Currently, I specifically focus on the following research topics:
- Image Restoration: All-in-one IR
- Computational Imaging: Snapshot Spectral Imaging
- Optimization 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]
Proceedings of the IEEE/CVF 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]
Proceedings of the AAAI Conference on Artificial Intelligence, 2025
-
Deep LoRA-Unfolding Networks for Image Restoration
X. Wang, H. Zeng and B. Sun et al., [paper]
IEEE Transactions on Image Processing, 2026
Awards
- Prize of Tat-Seng Chua, 4 students selected from the university, 25000 RMB scholarship
- Academic Excellence Scholarship, Harbin Institute of Technology (Shenzhen), top 5% students, 22000 RMB scholarship
- Prize 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)