Bio

Haijin Zeng

Ph.D Candidate

Email: haijin.zeng@imec.be

imec & Ghent University  |  Google Scholar

Location: St-Pietersnieuwstraat 41, B-9000 Gent, Belgium

I am a PhD candidate at imec & Ghent University working under Prof. Wilfried Philips and Prof. Hiep Luong. I received my Master's degree in Applied Mathematics from Northwest A&F University.

My research focuses on computational imaging, tensor completion, hyperspectral imaging, and mobile intelligent photography and imaging. My goal is to develop improved imaging techniques that push the boundaries of machine vision.

Research Topic

I work in computational imaging and tensor theory. My current research topics include:

• Image Signal Processing: Mobile Camera, Spectral Camera
• Computational Imaging: MSFA/Snapshot Spectral Imaging, MRI, Bayer and Non-Bayer Imaging
• Tensor Theory: Low-Rank Tensor Representation, Convex and Non-convex Optimization

Featured Publications

Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement

H. Zeng*, B. Sun*, Y. Chen, J. Su, Y. Xu

[paper] [code]

ICLR (Spotlight)

Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks

H. Zeng*, X. Wang*, Y. Chen, J. Su, J. Liu

[paper] [code]

CVPR

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems

X. Wang, H. Zeng, and J. Chen et al.

[paper] [code]

AAAI-25

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging

Z. Pan*, H. Zeng* and K. Zhang et al.

[paper] [code]

NeurIPS

Wavelength-Embedding-guided Filter-Array Transformer for Spectral Demosaicing

H. Zeng, H. Luong, and W. Philips

[paper]

ECCV

SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging

H. Zeng*, Y. Liu* and J. Su et al.

[paper] [code]

ECCV

DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model

Z. Pan*, H. Zeng* and K. Zhang et al.

[paper][code]

CVPR

Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising

H. Zeng, J. Cao, and Wilfried Philips et al.

[paper]

CVPR

Dual Prior Unfolding for Snapshot Compressive Imaging

J. Zhang*, H. Zeng* and J. Cao et al.

[paper] [code]

CVPR

Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification

J. Zhang, H. Zeng and J. Cao et al.

[paper] [code]

CVPR

Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor

H. Zeng*, K. Feng* and Wilfried Philips et al.

[paper]

IJCV

Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks

K. Feng*, H. Zeng* and Y. Zhao et al.

[paper] [code]

IEEE Transactions on Image Processing

Tensor Completion using Bilayer Multi-mode Low-rank Prior and Total Variation

H. Zeng, S. Huang, Y. Chen et al.

[paper]

IEEE Transactions on Neural Networks and Learning Systems

Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion

H. Zeng, Jize Xue et al.

[paper]

IEEE Transactions on Multimedia

Hyperspectral Image Restoration via Global L_1-2 Spatial-Spectral Total Variation Regularized Local Low-Rank Tensor Recovery

H. Zeng, Jifeng Ning et al.

[paper]

IEEE Transactions on Geoscience and Remote Sensing

Enhanced Nonconvex Low-Rank Approximation of Tensor Multi-modes for Tensor Completion

H. Zeng, Yongyong Chen et al.

[paper] [code]

IEEE Transactions on Computational Imaging

Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation

H. Zeng, Jifeng Ning et al.

[paper]

Signal Processing

Hyperspectral Image Restoration via CNN Denoiser Prior Regularized Low-Rank Tensor Recovery

H. Zeng, Jifeng Ning et al.

[paper] [code]

Computer Vision and Image Understanding

Membership

• IEEE, Student Member

Fundings

• BOF Special Research Fund, 2021-2025

Journal Reviewer

• Journal of Computational and Applied Mathematics
• IEEE Transactions on Image Processing (TIP)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Geoscience and Remote Sensing (TGRS)
• IEEE Signal Processing Letters
• IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
• IEEE Geoscience and Remote Sensing Letters (GRSL)
• IEEE Access
• International Journal of Machine Learning and Cybernetics
• Neurocomputing
• Scientific Reports
• Signal, Image and Video Processing
• Knowledge and Information Systems
• The Journal of Supercomputing

Conference Reviewer

• International Conference on Learning Representations (ICLR)
• International Conference on Machine Learning (ICML)
• IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
• European Conference on Computer Vision (ECCV)
• Conference on Neural Information Processing Systems (NeurIPS)
• International Conference on Artificial Intelligence and Statistics (AISTATS)
• AAAI Conference on Artificial Intelligence (AAAI)
• ACM Multimedia (ACM MM)
• International Joint Conference on Neural Networks (IJCNN)
• IEEE Conference on Multimedia Expo (ICME)
• IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Awards

• Third place in CVPR 2024 Mobile Intelligent Photography and Imaging (MIPI) challenge, CVPR
• 2023 imec PhD Excellence Award, imec (Two per year across all global imec research institutes)
• Third place in ECCV 2022 MIPI challenge, ECCV
• Top-Ten Distinguished Graduate Student, 10/2400+ (Northwest A&F University)
• Outstanding Graduate Student, Shaanxi Province
• Outstanding Graduates Award, Top 10%, Northwest A&F University
• National Scholarship (< 2%, Ministry of Education)
• Best Master's Thesis Award, Northwest A&F University
• National second prize, National Post-Graduate Mathematical Contest in Modeling (GMCM)
• National third prize, National Post-Graduate Mathematical Contest in Modeling (GMCM)
• First prize (mathematics category) of 2017 Chinese Mathematics Competitions (CMC)

More about Me

I'm a badminton enthusiast, and I also find joy in middle- to long-distance running.