Haijin Zeng

Bio

I am a PhD candidate at IMEC and Ghent University, under Prof. Wilfried Philips. Prior to this, I received my Master's degree in Applied Mathematics from Northwest A&F University. My academic and research interests are focused on the field of Inverse Imaging Problems, which I am deeply passionate about.My research interests primarily focus on tensor completion, hyperspectral imaging, and low-level vision. In my work, I enjoy applying mathematics to develop novel methods for tackling image processing problems. I have published several papers on these topics in IEEE Transactions journals such as IEEE TNNLS, TMM, TGRS, TCI, among others.

News

[2023.11] I have been honored as the recipient of 2023 imec PhD Excellence Award!
[2023.07] One paper is accepted by IEEE JSTARS
[2023.04] One paper is accepted by IEEE TNNLS
[2022.10] Our solution is ranked 3rd place in ECCV 2022 MIPI challenge ECCV 2022
[2022.09] One paper is accepted by IEEE TMM

Research Topic

I work in the field of computational imaging, and tensor theory. Currently, I specifically focus on the following research topics:

Hyperspectral Information Processing : Hyperspectral/Multitemporal Remote Sensing
Hyperspectral imaging (HI) : MSFA imaging, Hyperspectral camera processing pipeline
Tensor Completion: Deep Learning, Low-Rank Tensor Representation, Model-Data-Driven

Publications

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

H. Zeng, K. feng, and Wilfried Philips et al., [paper]

Journal Under Review

Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks

K. Feng*, H. Zeng* and Y. Zhao et al., [paper] (*Equal Contribution)

Journal Under Review

All of Low-rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising

H. Zeng, and Wilfried Philips et al., [paper]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

$L_{1-2}$ Spectral-spatial Total Variation Regularized Hyperspectral Image Denoising.
H. Zeng, Jifeng Ning et al., Acta Photonica Sinica 48, no. 10 (2019): 1010002.

Hyperspectral image restoration based on frequency-weighted tensor nuclear norm .
S. Liu, H. Zeng^† et al., Journal of Image and Graphics , 26(8): 1910-1925.

Hyperspectral Image Restoration via Global Total Variation Regularized Local Nonconvex Low-Rank Matrix Approximation.
H. Zeng, Xie, X., & Ning, J. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 2312-2315). IEEE.

Membership

IEEE, Student Member

Fundings

BOF Special Research Fund, 2021-2025

Journal Reviewer

IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Geoscience and Remote Sensing (TGRS)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
IEEE Geoscience and Remote Sensing Letters (GRSL)

Conference Reviewer

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Awards

2023 imec PhD Excellence Award, imec, Two per year
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
Outstanding Master's Thesis, Northwest A&F University
National second prize, of "National Post-Graduate Mathematical Contest in Modeling (GMCM)"
National third prize, of "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.