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 journals such as IEEE TMM, IEEE TGRS, CVIU, Signal Processing, and IEEE TCI, among others.

News

[2023.04] One co-author paper is accepted by IEEE JBHI
[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

[14] Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor
H. Zeng, Kai Feng, Jiezhang Cao et al., Arxiv , 2023.

[13] MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing .
H. Zeng, Kai Feng, Shaoguang Huang et al., Arxiv , 2023.

[12] From Model-based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images .
Shaoguang Huang, Hongyan Zhang *, Haijin Zeng , Aleksandra Pizurica, Remote Sensing , 2023. 2023.

[11] Smooth Tensor Qatar Riyal Decomposition for Dynamic MRI Reconstruction .
T. Xu, Y. Chen, H. Zeng et al., IEEE Journal of Biomedical and Health Informatics ( IEEE JBHI), 2023.

[10] Tensor Completion using Bilayer Multi-mode Low-rank Prior and Total Variation .
H. Zeng, S. Huang, Y. Chen et al., IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023.

[9] Asymmetry total variation and framelet regularized nonconvex low-rank tensor completion .
Y.Chen, T. Xu, X. Zhao, H. Zeng et al., Signal Processing 206 (2023): 108901.

[8] Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion .
H. Zeng, Jize Xue et al., IEEE Transactions on Multimedia (TMM), vol. 31, pp. 6356-6368, 2022.

[7] Hyperspectral Image Restoration via Global $L_{1−2}$ Spatial-Spectral Total Variation Regularized Local Low-Rank Tensor Recovery .
H. Zeng, Jifeng Ning et al., IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 14, pp. 4473–4488, 2022.

[6] Enhanced nonconvex low-rank approximation of tensor multi-modes for tensor completion .
H. Zeng, Yongyong Chen et al., IEEE Transactions on Computational Imaging (TCI), vol. 13, pp. 1385-1401, 2021. Code

[5] Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation .
H. Zeng, Jifeng Ning et al., Signal Processing (SP), vol. 177, pp. 161-173, 2021.

[4] Hyperspectral Image Restoration via CNN Denoiser Prior Regularized Low-rank Tensor Recovery .
H. Zeng, Jifeng Ning et al., Computer Vision and Image Understanding (CVIU), vol. 164, pp. 125-137, 2020.

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

[2] 基于频率加权张量核范数的高光谱图像复原 [J].
刘盛, 曾海金* , 等. 中国图象图形学报 ,2021,26(08):1910- 1925.

[1] 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, 比利时BOF专项研究基金, 2021-2025, 主持

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)

Awards

Third place in ECCV 2022 MIPI challenge, ECCV | ECCV 2022 智能成像挑战赛季军
Top-Ten Distinguished Graduate Student , 10 / 2400+, Northwest A&F University | 西北农林科技大学十佳毕业生
Outstanding Graduate Student, Shaanxi Province | 陕西省优秀毕业生
Outstanding Graduates Award, Top 10%, Northwest A&F University | 西北农林科技大学优秀毕业生
National Scholarship for Graduate Student, Ministry of Education | 国家奖学金
Outstanding Master's Thesis, Northwest A&F University | 优秀硕士论文
National second prize, of "National Post-Graduate Mathematical Contest in Modeling (GMCM)" | 全国研究生数学建模竞赛全国二等奖
National third prize, of "National Post-Graduate Mathematical Contest in Modeling (GMCM)" | 全国研究生数学建模竞赛全国三等奖
First prize (mathematics category) of 2017 "Chinese Mathematics Competitions (CMC)" | 全国大学生数学竞赛（数学类）复赛一等奖

More about Me

I am a fan of badminton. I also enjoy running (middle to long distance).