Hyperspectral Image Restoration via Global Total Variation Regularized Local Nonconvex Low-Rank Matrix Approximation. - Haijin Zeng; Xiaozhen Xie; Jifeng Ning (IGARSS, 2020)

Hyperspectral Image Denoising via Combined Non-Local Self-Similarity and Local Low-Rank Regularization. - Haijin Zeng; Xiaozhen Xie; Wenfeng Kong; Shuang Cui; Jifeng Ning (IEEE Access, 2020)

Tensor completion using enhanced multiple modes low-rank prior and total variation. - Haijin Zeng; Xiaozhen Xie; Jifeng Ning (CoRR, 2020)

Enhanced nonconvex low-rank representation for tensor completion. - Haijin Zeng; Xiaozhen Xie; Jifeng Ning (CoRR, 2020)

Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion. - Haijin Zeng; Sheng Liu; Jifeng Ning (CoRR, 2020)

Hyperspectral image restoration via CNN denoiser prior regularized low-rank tensor recovery. - Haijin Zeng; Xiaozhen Xie; Haojie Cui; Yuan Zhao; Jifeng Ning (Comput. Vis. Image Underst., 2020)

Hyperspectral image denoising via global spatial-spectral total variation regularized nonconvex local low-rank tensor approximation. - Haijin Zeng; Xiaozhen Xie; Jifeng Ning (Signal Process., 2021)

Enhanced Nonconvex Low-Rank Approximation of Tensor Multi-Modes for Tensor Completion. - Haijin Zeng; Yongyong Chen; Xiaozhen Xie; Jifeng Ning (IEEE Trans. Computational Imaging, 2021)

Hyperspectral Image Restoration via Global L1-2 Spatial-Spectral Total Variation Regularized Local Low-Rank Tensor Recovery. - Haijin Zeng; Xiaozhen Xie; Haojie Cui; Hanping Yin; Jifeng Ning (IEEE Trans. Geosci. Remote. Sens., 2021)

MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report. - Qingyu Yang; Guang Yang; Jun Jiang; Chongyi Li; Ruicheng Feng; Shangchen Zhou; Wenxiu Sun; Qingpeng Zhu; Chen Change Loy; Jinwei Gu; Zhen Wang 029; Daoyu Li; et al. (ECCV Workshops (5), 2022)

Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising. - Haijin Zeng; Shaoguang Huang; Yongyong Chen; Hiep Luong 001; Wilfried Philips (CoRR, 2022)

Research based on improved AD-Census stereo matching algorithm. - Haijin Zeng; Jinxia Ren; Yao Qin (BIC, 2023)

MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing. - Haijin Zeng; Kai Feng; Shaoguang Huang; Jiezhang Cao; Yongyong Chen; Hongyan Zhang 001; Hiep Luong 001; Wilfried Philips (CoRR, 2023)

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. - Haijin Zeng; Jiezhang Cao; Kai Feng; Shaoguang Huang; Hongyan Zhang 001; Hiep Luong 001; Wilfried Philips (CoRR, 2023)

Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks. - Kai Feng; Yongqiang Zhao 001; Seong G. Kong; Haijin Zeng (CoRR, 2023)

All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising. - Haijin Zeng; Shaoguang Huang; Yongyong Chen; Hiep Luong 001; Wilfried Philips (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Generalized Nonconvex Low-Rank Tensor Representation for Hyperspectral Anomaly Detection. - Hao Qin; Qiangqiang Shen; Haijin Zeng; Yongyong Chen; Guangming Lu 002 (IEEE Trans. Geosci. Remote. Sens., 2023)

Multimodal Core Tensor Factorization and its Applications to Low-Rank Tensor Completion. - Haijin Zeng; Jize Xue; Hiep Luong 001; Wilfried Philips (IEEE Trans. Multim., 2023)

Asymmetry total variation and framelet regularized nonconvex low-rank tensor completion. - Yongyong Chen; Tingting Xu; Xiaojia Zhao; Haijin Zeng; Yanhui Xu; Junxing Chen (Signal Process., 2023)

From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images. - Shaoguang Huang; Hongyan Zhang 001; Haijin Zeng; Aleksandra Pizurica (Remote. Sens., 2023)

DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model. - Zhenghao Pan; Haijin Zeng; Jiezhang Cao; Kai Zhang 008; Yongyong Chen (CVPR, 2024)

MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results. - Yaqi Wu; Zhihao Fan; Xiaofeng Chu; Jimmy S. Ren; Xiaoming Li 002; Zongsheng Yue; Chongyi Li; Shangcheng Zhou; Ruicheng Feng; Yuekun Dai; Peiqing Yang 001; Chen Change Loy; et al. (CVPR Workshops, 2024)

Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising. - Haijin Zeng; Jiezhang Cao; Kai Zhang 008; Yongyong Chen; Hiep Luong 001; Wilfried Philips (CVPR, 2024)

Dual Prior Unfolding for Snapshot Compressive Imaging. - Jiancheng Zhang 003; Haijin Zeng; Jiezhang Cao; Yongyong Chen; Dengxiu Yu; Yin-Ping Zhao (CVPR, 2024)

Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification. - Jiancheng Zhang 003; Haijin Zeng; Yongyong Chen; Dengxiu Yu; Yin-Ping Zhao (CVPR, 2024)

SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging. - Haijin Zeng; Yuxi Liu; Yongyong Chen; Youfa Liu; Chong Peng 001; Jingyong Su (ECCV (64), 2024)

Wavelength-Embedding-Guided Filter-Array Transformer for Spectral Demosaicing. - Haijin Zeng; Hiep Luong 001; Wilfried Philips (ECCV (14), 2024)

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging. - Zhenghao Pan; Haijin Zeng; Jiezhang Cao; Yongyong Chen; Kai Zhang 008; Yong Xu 001 (NeurIPS, 2024)

LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network. - Xuanqi Zhang; Haijin Zeng; Jinwang Pan; Qiangqiang Shen; Yongyong Chen (CoRR, 2024)

Empowering Snapshot Compressive Imaging: Spatial-Spectral State Space Model with Across-Scanning and Local Enhancement. - Wenzhe Tian; Haijin Zeng; Yin-Ping Zhao; Yongyong Chen; Zhen Wang 004; Xuelong Li 001 (CoRR, 2024)

Efficient One-Step Diffusion Refinement for Snapshot Compressive Imaging. - Yunzhen Wang; Haijin Zeng; Shaoguang Huang; Hongyu Chen 003; Hongyan Zhang 001 (CoRR, 2024)

Spatial and Cluster Structural Prior-Guided Subspace Clustering for Hyperspectral Image. - Shaoguang Huang; Haijin Zeng; Hongyu Chen 003; Hongyan Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised Spectral Demosaicing With Lightweight Spectral Attention Networks. - Kai Feng; Haijin Zeng; Yongqiang Zhao 001; Seong G. Kong; Yuanyang Bu (IEEE Trans. Image Process., 2024)

Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery. - Sheng Liu; Jinsong Leng; Xi-Le Zhao; Haijin Zeng; Yao Wang 003; Jing-Hua Yang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Tensor Completion Using Bilayer Multimode Low-Rank Prior and Total Variation. - Haijin Zeng; Shaoguang Huang; Yongyong Chen; Sheng Liu 002; Hiêp Quang Luong; Wilfried Philips (IEEE Trans. Neural Networks Learn. Syst., 2024)

Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor. - Haijin Zeng; Kai Feng; Jiezhang Cao; Shaoguang Huang; Yongqiang Zhao 001; Hiep Quang Luong 001; Jan Aelterman; Wilfried Philips (Int. J. Comput. Vis., 2024)

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems. - Xiangming Wang; Haijin Zeng; Jiaoyang Chen; Sheng Liu 002; Yongyong Chen; Guoqing Chao (AAAI, 2025)

Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks. - Haijin Zeng; Xiangming Wang; Yongyong Chen; Jingyong Su; Jie Liu (CVPR, 2025)

Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing. - Shiyang Zhou; Haijin Zeng; Yunfan Lu; Tong Shao; Ke Tang; Yongyong Chen; Jie Liu; Jingyong Su (CVPR, 2025)

Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement. - Haijin Zeng; Benteng Sun; Yongyong Chen; Jingyong Su; Yong Xu 001 (ICLR, 2025)

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. - Haijin Zeng; Kai Feng; Xudong Zhao 003; Jiezhang Cao; Shaoguang Huang; Hiep Luong 001; Wilfried Philips (IEEE Trans. Geosci. Remote. Sens., 2025)

Generative Model-Assisted Demosaicing for Cross-multispectral Cameras. - Jiahui Luo; Kai Feng; Haijin Zeng; Yongyong Chen (CoRR, 2025)

Smooth Tensor Qatar Riyal Decomposition for Dynamic MRI Reconstruction. - Tingting Xu; Yongyong Chen; Haijin Zeng; Guokai Zhang; Jingyong Su (IEEE J. Biomed. Health Informatics, 2025)

Lightweight Quad Bayer HybridEVS Demosaicing via State Space Augmented Cross-Attention. - Shiyang Zhou; Haijin Zeng; Yunfan Lu; Yongyong Chen; Jie Liu; Jingyong Su (CoRR, 2025)