Zhenbing Liu

According to our database, Zhenbing Liu authored at least 76 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., April, 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., January, 2024

Single Traffic Image Deraining via Similarity-Diversity Model.

Youxing Li, Rushi Lan, Huiwen Huang, Huiyu Zhou, Zhenbing Liu, Cheng Pang, Xiaonan Luo

IEEE Trans. Intell. Transp. Syst., January, 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

Gland segmentation via dual encoders and boundary-enhanced attention.

Huadeng Wang, Jiejiang Yu, Bingbing Li, Xipeng Pan, Zhenbing Liu, Rushi Lan, Xiaonan Luo

CoRR, 2024

2023

FedCL: Federated contrastive learning for multi-center medical image classification.

Zhenbing Liu, Fengfeng Wu, Yumeng Wang, Mengyu Yang, Xipeng Pan

Pattern Recognit., November, 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, September, 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, August, 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, Lingqiao Li, Zhengyun Feng, Huadeng Wang, Changhong Liang, Zhenbing Liu, Xin Chen, Chu Han, Zaiyi Liu

Medical Image Anal., August, 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, Zhenbing Liu, Cheng Pang, Zhenhui Li, Yanfen Cui, Xipeng Pan, Xin Chen

Comput. Methods Programs Biomed., August, 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., June, 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., May, 2023

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

2022

Binary Representation via Jointly Personalized Sparse Hashing.

Xiaoqin Wang, Chen Chen, Rushi Lan, Licheng Liu, Zhenbing Liu, Huiyu Zhou, Xiaonan Luo

ACM Trans. Multim. Comput. Commun. Appl., 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

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

Frequency separation-based multi-scale cascading residual block network for image super resolution.

Zhenbing Liu, Lu Yuan, Long Sun

Multim. Tools Appl., 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

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

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, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu

CoRR, 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

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

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

2021

A Two-Phase Learning-Based Swarm Optimizer for Large-Scale Optimization.

Rushi Lan, Yu Zhu, Huimin Lu, Zhenbing Liu, 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, Zhixun Su, Cheng Pang, Xiaonan Luo

IEEE Trans. Cybern., 2021

MADNet: A Fast and Lightweight Network for Single-Image Super Resolution.

Rushi Lan, Long Sun, Zhenbing Liu, Huimin Lu, Cheng Pang, Xiaonan Luo

IEEE Trans. Cybern., 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

PatchNet: a tiny low-light image enhancement net.

Zhenbing Liu, Kaijie Wang, Zimin Wang, Haoxiang Lu, Lu Yuan

J. Electronic Imaging, 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

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

Fine-grained correlation analysis for medical image retrieval.

Xiaoqin Wang, Rushi Lan, Huadeng Wang, Zhenbing Liu, Xiaonan Luo

Comput. Electr. Eng., 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

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

Deep Adversarial Image Synthesis for Nuclei Segmentation of Histopathology Image.

Jijun Cheng, Zimin Wang, Zhenbing Liu, Zhengyun Feng, Huadeng Wang, Xipeng Pan

Proceedings of the 2nd Asia Conference on Computers and Communications, 2021

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

Prior Knowledge-Based Probabilistic Collaborative Representation for Visual Recognition.

Rushi Lan, Yicong Zhou, Zhenbing Liu, Xiaonan Luo

IEEE Trans. Cybern., 2020

Cost-sensitive deep forest for price prediction.

Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng

Pattern Recognit., 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

An LBP encoding scheme jointly using quaternionic representation and angular information.

Rushi Lan, Huimin Lu, Yicong Zhou, Zhenbing Liu, Xiaonan Luo

Neural Comput. Appl., 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

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

Large-scale optimisation via cooperatively coevolving competition swarm optimiser.

Rushi Lan, Yu Zhu, Huimin Lu, Zhiling Tang, Zhenbing Liu, Xiaonan Luo

Enterp. Inf. Syst., 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

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

An Adaptive Detail Equalization for Infrared Image Enhancement Based on Multi-Scale Convolution.

Haoxiang Lu, Zhenbing Liu, Xipeng Pan

IEEE Access, 2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.

Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

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

Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019

Medicine Discrimination of NIRS Based on Regularized Collaborative Representation Classification with Gabor Optimizer.

Zhenbing Liu, Huanhuan Ji, Shujie Jiang

Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 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

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

Supervised Dictionary Learning With Regularization for Near-Infrared Spectroscopy Classification.

Lingqiao Li, Xipeng Pan, Huihua Yang, Tao 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

A New Region Proposal Network for Far-Infrared Pedestrian Detection.

Zhiwei Cao, Huihua Yang, Juan Zhao, Xipeng Pan, Longhao Zhang, Zhenbing Liu

IEEE Access, 2019

SRGNet: A GRU Based Feature Fusion Network for Image Denoising.

Wenhao Wang, Cheng Pang, Zhenbing Liu, Rushi Lan, Xiaonan Luo

Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

EDCNN: A Novel Network for Image Denoising.

Haizhang Zou, Rushi Lan, Yanru Zhong, Zhenbing Liu, Xiaonan Luo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A dynamical model for generating synthetic Ballistocardiogram signals.

Zimin Wang, Zhiyu Gan, Zhenbing Liu, Linfa Lu, Xiaonan Luo

Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019

The Diagnosis of Alzheimer's Disease Based on Enhanced Residual Neutral Network.

Mingchang Xu, Zhenbing Liu, Zimin Wang, Long Sun, Zhibin Liang

Proceedings of the 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2019

Spatiotemporal Saliency Based Multi-stream Networks for Action Recognition.

Zhenbing Liu, Zeya Li, Ming Zong, Wanting Ji, Ruili Wang, Yan Tian

Proceedings of the Pattern Recognition, 2019

Early Diagnosis of Alzheimer's Disease Based on Selective Kernel Network with Spatial Attention.

Huanhuan Ji, Zhenbing Liu, Wei Qi Yan, Reinhard Klette

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

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

World Wide Web, 2018

T-test based Alzheimer's disease diagnosis with multi-feature in MRIs.

Zhenbing Liu, Tao Xu, Chao Ma, Chunyang Gao, Huihua Yang

Multim. Tools Appl., 2018

Cost-sensitive collaborative representation based classification via probability estimation with addressing the class imbalance.

Zhenbing Liu, Chao Ma, Chunyang Gao, Huihua Yang, Rushi Lan, Xiaonan Luo

Multim. Tools Appl., 2018

A simple texture feature for retrieval of medical images.

Rushi Lan, Si Zhong, Zhenbing Liu, Zhuo Shi, Xiaonan Luo

Multim. Tools Appl., 2018

An integrated scattering feature with application to medical image retrieval.

Rushi Lan, Huadeng Wang, Si Zhong, Zhenbing Liu, Xiaonan Luo

Comput. Electr. Eng., 2018

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

Alzheimer's disease diagnosis via interested structure selection in MRIs.

Zhenbing Liu, Tao Xu, Chao Ma, Chunyang Gao, Huihua Yang

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

A Cost-Sensitive Sparse Representation Based Classification for Class-Imbalance Problem.

Zhenbing Liu, Chunyang Gao, Huihua Yang, Qijia He

Sci. Program., 2016

Cost-sensitive sparse representation based classification.

Zhenbing Liu, Chunyang Gao, Huihua Yang, Qijia He

Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016

2014

A Cuckoo Search Algorithm for Scheduling Multiskilled Workforce.

Hui Nie, Bo Liu, Pumo Xie, Zhenbing Liu, Huihua Yang

J. Networks, 2014

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

Arbitrary-length Fast Hartley Transform without Multiplications.

Zhenbing Liu, Shujie Jiang, Hui-Hua Yang, Jianguo Liu

J. Comput., 2013

2012

Novel Convolutions Using First-Order Moments.

Jianguo Liu, Chao Pan, Zhenbing Liu

IEEE Trans. Computers, 2012

2011

Maximal-Margin Approach for Cost-Sensitive Learning Based on Scaled Convex Hull.

Zhenbing Liu

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

2010

An Arbitrary-length and Multiplierless DCT Algorithm and Systolic Implementation.

Zhenbing Liu, Jianguo Liu, Guoyou Wang

J. Comput., 2010

2009

A Novel Geometric Approach to Binary Classification Based on Scaled Convex Hulls.

Zhenbing Liu, J. G. Liu, Chao Pan, Guoyou Wang

IEEE Trans. Neural Networks, 2009

A generalized Gilbert's algorithm for approximating general SVM classifiers.

Zhenbing Liu, Jianguo Liu, Zhong Chen

Neurocomputing, 2009