A generalized Gilbert's algorithm for approximating general SVM classifiers. - Zhenbing Liu; Jianguo Liu 004; Zhong Chen (Neurocomputing, 2009)

A Novel Geometric Approach to Binary Classification Based on Scaled Convex Hulls. - Zhenbing Liu; J. G. Liu 001; Chao Pan 004; Guoyou Wang (IEEE Trans. Neural Networks, 2009)

An Arbitrary-length and Multiplierless DCT Algorithm and Systolic Implementation. - Zhenbing Liu; Jianguo Liu 004; Guoyou Wang (J. Comput., 2010)

Maximal-Margin Approach for Cost-Sensitive Learning Based on Scaled Convex Hull. - Zhenbing Liu (ISNN (1), 2011)

Novel Convolutions Using First-Order Moments. - Jianguo Liu 004; Chao Pan 004; Zhenbing Liu (IEEE Trans. Computers, 2012)

Arbitrary-length Fast Hartley Transform without Multiplications. - Zhenbing Liu; Shujie Jiang; Hui-Hua Yang; Jianguo Liu 004 (J. Comput., 2013)

An Efficient Vehicle Model Recognition Method. - Hui-Hua Yang; Lei Zhai; Lingqiao Li; Zhenbing Liu; Yichen Luo; Yong Wang; Haiyan Lai; Ming Guan (J. Softw., 2013)

A Cuckoo Search Algorithm for Scheduling Multiskilled Workforce. - Hui Nie; Bo Liu 090; Pumo Xie; Zhenbing Liu; Huihua Yang (J. Networks, 2014)

Cost-sensitive sparse representation based classification. - Zhenbing Liu; Chunyang Gao; Huihua Yang; Qijia He (CCIS, 2016)

A Cost-Sensitive Sparse Representation Based Classification for Class-Imbalance Problem. - Zhenbing Liu; Chunyang Gao; Huihua Yang; Qijia He (Sci. Program., 2016)

Alzheimer's disease diagnosis via interested structure selection in MRIs. - Zhenbing Liu; Tao Xu; Chao Ma 006; Chunyang Gao; Huihua Yang (ICNC-FSKD, 2017)

Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks. - Xipeng Pan; Lingqiao Li; Hui-Hua Yang; Zhenbing Liu; Jinxin Yang; Lingling Zhao; Yong-Xian Fan (Neurocomputing, 2017)

An integrated scattering feature with application to medical image retrieval. - Rushi Lan; Huadeng Wang; Si Zhong; Zhenbing Liu; Xiaonan Luo (Comput. Electr. Eng., 2018)

A simple texture feature for retrieval of medical images. - Rushi Lan; Si Zhong; Zhenbing Liu; Zhuo Shi; Xiaonan Luo (Multim. Tools Appl., 2018)

Cost-sensitive collaborative representation based classification via probability estimation with addressing the class imbalance. - Zhenbing Liu; Chao Ma 006; Chunyang Gao; Huihua Yang; Rushi Lan; Xiaonan Luo (Multim. Tools Appl., 2018)

T-test based Alzheimer's disease diagnosis with multi-feature in MRIs. - Zhenbing Liu; Tao Xu; Chao Ma 006; Chunyang Gao; Huihua Yang (Multim. Tools Appl., 2018)

Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks. - Xipeng Pan; Dengxian Yang; Lingqiao Li; Zhenbing Liu; Huihua Yang; Zhiwei Cao; Yubei He; Zhen Ma; Yiyi Chen 001 (World Wide Web, 2018)

Early Diagnosis of Alzheimer's Disease Based on Selective Kernel Network with Spatial Attention. - Huanhuan Ji; Zhenbing Liu; Wei Qi Yan 001; Reinhard Klette (ACPR (2), 2019)

Spatiotemporal Saliency Based Multi-stream Networks for Action Recognition. - Zhenbing Liu; Zeya Li; Ming Zong; Wanting Ji; Ruili Wang; Yan Tian (ACPR Workshops, 2019)

The Diagnosis of Alzheimer's Disease Based on Enhanced Residual Neutral Network. - Mingchang Xu; Zhenbing Liu; Zimin Wang; Long Sun; Zhibin Liang (CyberC, 2019)

A dynamical model for generating synthetic Ballistocardiogram signals. - Zimin Wang; Zhiyu Gan; Zhenbing Liu; Linfa Lu; Xiaonan Luo (ICACI, 2019)

EDCNN: A Novel Network for Image Denoising. - Haizhang Zou; Rushi Lan; Yanru Zhong; Zhenbing Liu; Xiaonan Luo (ICIP, 2019)

SRGNet: A GRU Based Feature Fusion Network for Image Denoising. - Wenhao Wang; Cheng Pang; Zhenbing Liu; Rushi Lan; Xiaonan Luo (ISPACS, 2019)

A New Region Proposal Network for Far-Infrared Pedestrian Detection. - Zhiwei Cao; Huihua Yang; Juan Zhao 009; Xipeng Pan; Longhao Zhang; Zhenbing Liu (IEEE Access, 2019)

A Hierarchical Sorting Swarm Optimizer for Large-Scale Optimization. - Rushi Lan; Li Zhang; Zhiling Tang; Zhenbing Liu; Xiaonan Luo (IEEE Access, 2019)

Supervised Dictionary Learning With Regularization for Near-Infrared Spectroscopy Classification. - Lingqiao Li; Xipeng Pan; Huihua Yang; Tao Zhang 010; Zhenbing Liu (IEEE Access, 2019)

An Accurate Nuclei Segmentation Algorithm in Pathological Image Based on Deep Semantic Network. - Xipeng Pan; Lingqiao Li; Dengxian Yang; Yubei He; Zhenbing Liu; Huihua Yang (IEEE Access, 2019)

Hyperspectral image classification using k-sparse denoising autoencoder and spectral-restricted spatial characteristics. - Rushi Lan; Zeya Li; Zhenbing Liu; Tianlong Gu; Xiaonan Luo (Appl. Soft Comput., 2019)

Medicine Discrimination of NIRS Based on Regularized Collaborative Representation Classification with Gabor Optimizer. - Zhenbing Liu; Huanhuan Ji; Shujie Jiang (Cognitive Internet of Things, 2019)

Multi-task Deep Learning for Fine-Grained Classification/Grading in Breast Cancer Histopathological Images. - Xipeng Pan; Lingqiao Li; Huihua Yang; Zhenbing Liu; Yubei He; Zhongming Li; Yong-Xian Fan; Zhiwei Cao; Longhao Zhang (Cognitive Internet of Things, 2019)

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. - Kai Zhang 008; Martin Danelljan; Yawei Li 001; Radu Timofte; Jie Liu 040; Jie Tang 006; Gangshan Wu; Yu Zhu 004; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; et al. (ECCV Workshops (3), 2020)

An Adaptive Detail Equalization for Infrared Image Enhancement Based on Multi-Scale Convolution. - Haoxiang Lu; Zhenbing Liu; Xipeng Pan (IEEE Access, 2020)

Multi-scale single image rain removal using a squeeze-and-excitation residual network. - Rushi Lan; Xipu Hu; Cheng Pang; Zhenbing Liu; Xiaonan Luo (Appl. Soft Comput., 2020)

Complex background classification network: A deep learning method for urban images classification. - Zhenbing Liu; Zeya Li; Lingqiao Li; Huihua Yang (Comput. Electr. Eng., 2020)

Large-scale optimisation via cooperatively coevolving competition swarm optimiser. - Rushi Lan; Yu Zhu 004; Huimin Lu 001; Zhiling Tang; Zhenbing Liu; Xiaonan Luo (Enterp. Inf. Syst., 2020)

Ensemble of deep convolutional neural networks based multi-modality images for Alzheimer's disease diagnosis. - Xusheng Fang; Zhenbing Liu; Mingchang Xu (IET Image Process., 2020)

Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images. - Lingqiao Li; Xipeng Pan; Huihua Yang; Zhenbing Liu; Yubei He; Zhongming Li; Yong-Xian Fan; Zhiwei Cao; Longhao Zhang (Multim. Tools Appl., 2020)

An LBP encoding scheme jointly using quaternionic representation and angular information. - Rushi Lan; Huimin Lu 001; Yicong Zhou; Zhenbing Liu; Xiaonan Luo (Neural Comput. Appl., 2020)

Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition. - Zhenbing Liu; Zeya Li; Ruili Wang; Ming Zong; Wanting Ji (Neural Comput. Appl., 2020)

Cost-sensitive deep forest for price prediction. - Chao Ma 006; Zhenbing Liu; Zhiguang Cao; Wen Song; Jie Zhang 002; Weiliang Zeng (Pattern Recognit., 2020)

Prior Knowledge-Based Probabilistic Collaborative Representation for Visual Recognition. - Rushi Lan; Yicong Zhou; Zhenbing Liu; Xiaonan Luo (IEEE Trans. Cybern., 2020)

A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling. - Huadeng Wang; Guang Xu; Xipeng Pan; Zhenbing Liu; Rushi Lan; Xiaonan Luo (Wirel. Commun. Mob. Comput., 2020)

Deep Adversarial Image Synthesis for Nuclei Segmentation of Histopathology Image. - Jijun Cheng; Zimin Wang; Zhenbing Liu; Zhengyun Feng; Huadeng Wang; Xipeng Pan (ACCC, 2021)

Hyperspectral Image Classification Based on Stacked Contractive Autoencoder Combined With Adaptive Spectral-Spatial Information. - Pengyue Guo; Zhenbing Liu; Haoxiang Lu; Zimin Wang (IEEE Access, 2021)

Mitosis detection techniques in H&E stained breast cancer pathological images: A comprehensive review. - Xipeng Pan; Yinghua Lu; Rushi Lan; Zhenbing Liu; Zujun Qin; Huadeng Wang; Zaiyi Liu (Comput. Electr. Eng., 2021)

Fine-grained correlation analysis for medical image retrieval. - Xiaoqin Wang; Rushi Lan; Huadeng Wang; Zhenbing Liu; Xiaonan Luo (Comput. Electr. Eng., 2021)

Discriminative Codebook Hashing for Supervised Video Retrieval. - Xiaoman Bian; Rushi Lan; Xiaoqin Wang; Chen Chen; Zhenbing Liu; Xiaonan Luo; Kuei-Kuei Lai (Comput. Intell. Neurosci., 2021)

Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network. - Long Sun; Zhenbing Liu; Xiyan Sun; Licheng Liu; Rushi Lan; Xiaonan Luo (IEEE CAA J. Autom. Sinica, 2021)

PatchNet: a tiny low-light image enhancement net. - Zhenbing Liu; Kaijie Wang; Zimin Wang; Haoxiang Lu; Lu Yuan (J. Electronic Imaging, 2021)

Image denoising via deep residual convolutional neural networks. - Rushi Lan; Haizhang Zou; Cheng Pang; Yanru Zhong; Zhenbing Liu; Xiaonan Luo (Signal Image Video Process., 2021)

MADNet: A Fast and Lightweight Network for Single-Image Super Resolution. - Rushi Lan; Long Sun; Zhenbing Liu; Huimin Lu 001; Cheng Pang; Xiaonan Luo (IEEE Trans. Cybern., 2021)

Cascading and Enhanced Residual Networks for Accurate Single-Image Super-Resolution. - Rushi Lan; Long Sun; Zhenbing Liu; Huimin Lu 001; Zhixun Su; Cheng Pang; Xiaonan Luo (IEEE Trans. Cybern., 2021)

A Two-Phase Learning-Based Swarm Optimizer for Large-Scale Optimization. - Rushi Lan; Yu Zhu 004; Huimin Lu 001; Zhenbing Liu; Xiaonan Luo (IEEE Trans. Cybern., 2021)

Multi-task generative adversarial learning for nuclei segmentation with dual attention and recurrent convolution. - Huadeng Wang; Guang Xu; Xipeng Pan; Zhenbing Liu; Rushi Lan; Xiaonan Luo (Biomed. Signal Process. Control., 2022)

Attention-inception-based U-Net for retinal vessel segmentation with advanced residual. - Huadeng Wang; Guang Xu; Xipeng Pan; Zhenbing Liu; Ningning Tang; Rushi Lan; Xiaonan Luo (Comput. Electr. Eng., 2022)

A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge. - Jijun Cheng; Xipeng Pan; Feihu Hou; Bingchao Zhao; Jiatai Lin; Zhenbing Liu; Zaiyi Liu; Chu Han (CoRR, 2022)

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. - Chu Han; Xipeng Pan; Lixu Yan; Huan Lin; Bingbing Li; Su Yao; Shanshan Lv; Zhenwei Shi; Jinhai Mai; Jiatai Lin; Bingchao Zhao; Zeyan Xu; et al. (CoRR, 2022)

A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification. - Huadeng Wang; Zhipeng Liu; Rushi Lan; Zhenbing Liu; Xiaonan Luo; Xipeng Pan; Bingbing Li (CoRR, 2022)

Video super-resolution with fused local and nonlocal feature. - Wenhao Wang; Zhenbing Liu; Rushi Lan; Haoxiang Lu (J. Electronic Imaging, 2022)

Diagnosis of Alzheimer's disease via an attention-based multi-scale convolutional neural network. - Zhenbing Liu; Haoxiang Lu; Xipeng Pan; Mingchang Xu; Rushi Lan; Xiaonan Luo (Knowl. Based Syst., 2022)

Frequency separation-based multi-scale cascading residual block network for image super resolution. - Zhenbing Liu; Lu Yuan; Long Sun (Multim. Tools Appl., 2022)

FDMLNet: A Frequency-Division and Multiscale Learning Network for Enhancing Low-Light Image. - Haoxiang Lu; Junming Gong; Zhenbing Liu; Rushi Lan; Xipeng Pan (Sensors, 2022)

Label Guided Discrete Hashing for Cross-Modal Retrieval. - Rushi Lan; Yu Tan; Xiaoqin Wang; Zhenbing Liu; Xiaonan Luo (IEEE Trans. Intell. Transp. Syst., 2022)

Binary Representation via Jointly Personalized Sparse Hashing. - Xiaoqin Wang; Chen Chen; Rushi Lan; Licheng Liu; Zhenbing Liu; Huiyu Zhou 001; Xiaonan Luo (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Adapting Single-Image Super-Resolution Models to Video Super-Resolution: A Plug-and-Play Approach. - Wenhao Wang; Zhenbing Liu; Haoxiang Lu; Rushi Lan; Yingxin Huang (Sensors, 2023)

Retinex-inspired contrast stretch and detail boosting for lowlight image enhancement. - Haoxiang Lu; Zhenbing Liu; Rushi Lan; Xipeng Pan; Junming Gong (IET Image Process., 2023)

PCRTAM-Net: A Novel Pre-Activated Convolution Residual and Triple Attention Mechanism Network for Retinal Vessel Segmentation. - Huadeng Wang; Zi-Zheng Li; Idowu Paul Okuwobi; Bingbing Li; Xipeng Pan; Zhenbing Liu; Rushi Lan; Xiao-Nan Luo (J. Comput. Sci. Technol., 2023)

Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study. - Zhengyun Feng; Huan Lin; Zaiyi Liu; Lixu Yan; Yumeng Wang; Bingbing Li; Entao Liu; Chu Han; Zhenwei Shi; Cheng Lu 001; Zhenbing Liu; Cheng Pang; et al. (Comput. Methods Programs Biomed., 2023)

SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. - Xipeng Pan; Jijun Cheng; Feihu Hou; Rushi Lan; Cheng Lu 001; Lingqiao Li; Zhengyun Feng; Huadeng Wang; Changhong Liang; Zhenbing Liu; Xin Chen 058; Chu Han; et al. (Medical Image Anal., 2023)

DPACFuse: Dual-Branch Progressive Learning for Infrared and Visible Image Fusion with Complementary Self-Attention and Convolution. - Huayi Zhu; Heshan Wu; Xiaolong Wang; Dongmei He; Zhenbing Liu; Xipeng Pan (Sensors, 2023)

Real-Time Video Super-Resolution with Spatio-Temporal Modeling and Redundancy-Aware Inference. - Wenhao Wang; Zhenbing Liu; Haoxiang Lu; Rushi Lan; Zhaoyuan Zhang (Sensors, 2023)

FedCL: Federated contrastive learning for multi-center medical image classification. - Zhenbing Liu; Fengfeng Wu; Yumeng Wang; Mengyu Yang; Xipeng Pan (Pattern Recognit., 2023)

Partial Label Learning via Cost-Guided Retraining. - Zhaoyuan Zhang; Zhenbing Liu; Haoxiang Lu (ECAI, 2024)

EOFD-Net: Edge Optimization and Feature Denoising for Weakly Supervised Deep Nuclei Segmentation with Point Annotations. - Xipeng Pan; Feihu Hou; Zhenbing Liu; Siyang Feng; Rushi Lan (ICASSP, 2024)

Gland Segmentation Via Dual Encoders and Boundary-Enhanced Attention. - Huadeng Wang; Jiejiang Yu; Bingbing Li; Xipeng Pan; Zhenbing Liu; Rushi Lan; Xiaonan Luo (ICASSP, 2024)

Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning. - Siyang Feng; Jiale Chen; Zhenbing Liu; Wentao Liu 004; Zimin Wang; Rushi Lan; Xipeng Pan (MICCAI (8), 2024)

PG-MLIF: Multimodal Low-Rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction. - Xipeng Pan; Yajun An; Rushi Lan; Zhenbing Liu; Zaiyi Liu; Cheng Lu 001; Huihua Yang (MICCAI (3), 2024)

PA-Net: A phase attention network fusing venous and arterial phase features of CT images for liver tumor segmentation. - Zhenbing Liu; Junfeng Hou; Xipeng Pan; Ruojie Zhang; Zhenwei Shi (Comput. Methods Programs Biomed., 2024)

Low-light image enhancement via multistage Laplacian feature fusion. - Zhenbing Liu; Yingxin Huang; Ruojie Zhang; Haoxiang Lu; Wenhao Wang; Zhaoyuan Zhang (J. Electronic Imaging, 2024)

Brighten up Images via Dual-Branch Structure-Texture Awareness Feature Interaction. - Yingxin Huang; Zhenbing Liu; Haoxiang Lu; Wenhao Wang; Rushi Lan (IEEE Signal Process. Lett., 2024)

Single Traffic Image Deraining via Similarity-Diversity Model. - Youxing Li; Rushi Lan; Huiwen Huang; Huiyu Zhou 001; Zhenbing Liu; Cheng Pang; Xiaonan Luo (IEEE Trans. Intell. Transp. Syst., 2024)

Enhancing infrared images via multi-resolution contrast stretching and adaptive multi-scale detail boosting. - Haoxiang Lu; Zhenbing Liu; Xipeng Pan; Rushi Lan; Wenhao Wang (Vis. Comput., 2024)

AcFusion: Infrared and Visible Image Fusion Based on Self-Attention and Convolution With Enhanced Information Extraction. - Huayi Zhu; Heshan Wu; Dongmei He; Rushi Lan; Zhenbing Liu; Xipeng Pan (IEEE Trans. Consumer Electron., 2024)

Dilation-Supervised Learning: A Novel Strategy for Scale Difference in Retinal Vessel Segmentation. - Huadeng Wang; Wenbin Zuo; Bingbing Li; Xipeng Pan; Zhenbing Liu; Rushi Lan; Xiaonan Luo (IEEE Trans. Artif. Intell., 2024)

CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction. - Yajun An; Jiale Chen; Huan Lin; Zhenbing Liu; Siyang Feng; Hualong Zhang; Rushi Lan; Zaiyi Liu; Xipeng Pan (AAAI, 2025)

Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration. - Siyang Feng; Huadeng Wang; Chu Han; Zhenbing Liu; Hualong Zhang; Rushi Lan; Xipeng Pan (AAAI, 2025)

Weakly supervised nuclei segmentation based on pseudo label correction and uncertainty denoising. - Xipeng Pan; Shilong Song; Zhenbing Liu; Huadeng Wang; Lingqiao Li; Haoxiang Lu; Rushi Lan; Xiaonan Luo (Artif. Intell. Medicine, 2025)

Uncertainty-guided cross teaching semi-supervised framework for histopathology image segmentation with curriculum self-training. - Rui Xu; Nan Zhou; Siyang Feng; Zhenbing Liu; Huahu Deng; Yajun An; Jian Li; Chu Han; Zaiyi Liu; Rushi Lan; Cheng Lu 001; Xipeng Pan (Appl. Soft Comput., 2025)

Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation. - Weixing Li; Xipeng Pan; Zhen Zhang 058; Guangyao Wu; Guanchao Ye; Leonard Wee; Andre Dekker; Chu Han; Lei Shi; Zaiyi Liu; Zhenbing Liu; Zhenwei Shi (Biomed. Signal Process. Control., 2025)

Weakly supervised histopathology tissue semantic segmentation with multi-scale voting and online noise suppression. - Xipeng Pan; Hualong Zhang; Huahu Deng; Huadeng Wang; Lingqiao Li; Zhenbing Liu; Lin Wang; Yajun An; Cheng Lu 001; Zaiyi Liu; Chu Han; Rushi Lan (Eng. Appl. Artif. Intell., 2025)

Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. - Zhenbing Liu; Weixing Li; Yanfen Cui; Xin Chen 058; Xipeng Pan; Guanchao Ye; Guangyao Wu; Yongde Liao; Leroy Volmer; Leonard Wee; Andre Dekker; Chu Han; et al. (Expert Syst. Appl., 2025)

Addressing bayes imbalance in partial label learning via range adaptive graph guided disambiguation. - Zhenbing Liu; Zhaoyuan Zhang; Haoxiang Lu; Wenhao Wang (Neurocomputing, 2025)

Multi-layer Feature Fusion and Coarse-to-fine Label Learning for Semi-supervised Lesion Segmentation of Lung Cancer. - Jiale Chen; Siyang Feng; Yanfen Cui; Chuansong Fan; Huan Lin; Xinjun Bian; Lingqiao Li; Zhenbing Liu; Zaiyi Liu; Rushi Lan; Xipeng Pan (Knowl. Based Syst., 2025)

Perceptual stretch and multi-feature fusion for enhancing nighttime images. - Haoxiang Lu; Tianle Fang; Zhenbing Liu; Weidong Zhang 007; Rushi Lan (Knowl. Based Syst., 2025)

MASFNet: Multiscale Adaptive Sampling Fusion Network for Object Detection in Adverse Weather. - Zhenbing Liu; Tianle Fang; Haoxiang Lu; Weidong Zhang 007; Rushi Lan (IEEE Trans. Geosci. Remote. Sens., 2025)

FFENet: Learning Frequency Features for Low-Light Enhancement. - Zhenbing Liu; Junming Gong; Haoxiang Lu; Xipeng Pan; Rushi Lan (IEEE Trans. Instrum. Meas., 2025)

Learning Distinguishable Degradation Maps for Unknown Image Super-Resolution. - Zhenbing Liu; Jieyu Huang; Wenhao Wang; Haoxiang Lu; Rushi Lan (IEEE Trans. Multim., 2025)

FCNet: Frequency Co-Interaction Network With Color Restoration for Lowlight Image Enhancement. - Haoxiang Lu; Xiaowei Zhao; Zhenbing Liu; Peixian Zhuang; Zheng Liang 001; Weidong Zhang 007 (IEEE Trans. Consumer Electron., 2025)

Illuminating the Shadows: Enhanced Low-Light Image via a Retinex-based Model with Color Equalization. - Zhenbing Liu; Tao Fan; Weidong Zhang 007; Wenhao Wang; Jieyu Huang; Rushi Lan; Haoxiang Lu (Expert Syst. Appl., 2026)