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2020 – today
- 2021
[j38]Pengyue Guo, Zhenbing Liu, Haoxiang Lu, Zimin Wang:
Hyperspectral Image Classification Based on Stacked Contractive Autoencoder Combined With Adaptive Spectral-Spatial Information. IEEE Access 9: 96404-96415 (2021)- [j37]Xiaoqin Wang, Rushi Lan, Huadeng Wang, Zhenbing Liu, Xiaonan Luo:
Fine-grained correlation analysis for medical image retrieval. Comput. Electr. Eng. 90: 106992 (2021) - [j36]Xipeng Pan, Yinghua Lu, Rushi Lan, Zhenbing Liu, Zujun Qin, Huadeng Wang, Zaiyi Liu:
Mitosis detection techniques in H&E stained breast cancer pathological images: A comprehensive review. Comput. Electr. Eng. 91: 107038 (2021) - [j35]Long Sun, Zhenbing Liu, Xiyan Sun, Licheng Liu, Rushi Lan, Xiaonan Luo:
Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network. IEEE CAA J. Autom. Sinica 8(7): 1271-1280 (2021) - [j34]Zhenbing Liu, Kaijie Wang, Zimin Wang, Haoxiang Lu, Lu Yuan:
PatchNet: a tiny low-light image enhancement net. J. Electronic Imaging 30(3) (2021) - [j33]Rushi Lan, Haizhang Zou, Cheng Pang
, Yanru Zhong, Zhenbing Liu, Xiaonan Luo:
Image denoising via deep residual convolutional neural networks. Signal Image Video Process. 15(1): 1-8 (2021) - [j32]Rushi Lan, Long Sun, Zhenbing Liu, Huimin Lu, Zhixun Su, Cheng Pang, Xiaonan Luo:
Cascading and Enhanced Residual Networks for Accurate Single-Image Super-Resolution. IEEE Trans. Cybern. 51(1): 115-125 (2021) - [j31]Rushi Lan, Long Sun, Zhenbing Liu, Huimin Lu, Cheng Pang, Xiaonan Luo:
MADNet: A Fast and Lightweight Network for Single-Image Super Resolution. IEEE Trans. Cybern. 51(3): 1443-1453 (2021) - 2020
- [j30]Haoxiang Lu, Zhenbing Liu, Xipeng Pan:
An Adaptive Detail Equalization for Infrared Image Enhancement Based on Multi-Scale Convolution. IEEE Access 8: 156763-156773 (2020) - [j29]Rushi Lan, Xipu Hu, Cheng Pang, Zhenbing Liu, Xiaonan Luo:
Multi-scale single image rain removal using a squeeze-and-excitation residual network. Appl. Soft Comput. 92: 106296 (2020) - [j28]Zhenbing Liu, Zeya Li, Lingqiao Li, Huihua Yang:
Complex background classification network: A deep learning method for urban images classification. Comput. Electr. Eng. 87: 106771 (2020) - [j27]Rushi Lan, Yu Zhu, Huimin Lu, Zhiling Tang, Zhenbing Liu, Xiaonan Luo:
Large-scale optimisation via cooperatively coevolving competition swarm optimiser. Enterp. Inf. Syst. 14(9-10): 1439-1456 (2020) - [j26]Xusheng Fang, Zhenbing Liu, Mingchang Xu:
Ensemble of deep convolutional neural networks based multi-modality images for Alzheimer's disease diagnosis. IET Image Process. 14(2): 318-326 (2020) - [j25]Lingqiao Li, Xipeng Pan, Huihua Yang, Zhenbing Liu, Yubei He, Zhongming Li, Yong-Xian Fan, Zhiwei Cao, Longhao Zhang:
Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images. Multim. Tools Appl. 79(21-22): 14509-14528 (2020) - [j24]Rushi Lan, Huimin Lu, Yicong Zhou, Zhenbing Liu, Xiaonan Luo:
An LBP encoding scheme jointly using quaternionic representation and angular information. Neural Comput. Appl. 32(9): 4317-4323 (2020) - [j23]Zhenbing Liu, Zeya Li, Ruili Wang, Ming Zong, Wanting Ji:
Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition. Neural Comput. Appl. 32(18): 14593-14602 (2020) - [j22]Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng:
Cost-sensitive deep forest for price prediction. Pattern Recognit. 107: 107499 (2020) - [j21]Rushi Lan, Yicong Zhou, Zhenbing Liu, Xiaonan Luo:
Prior Knowledge-Based Probabilistic Collaborative Representation for Visual Recognition. IEEE Trans. Cybern. 50(4): 1498-1508 (2020) - [j20]Huadeng Wang, Guang Xu, Xipeng Pan, Zhenbing Liu, Rushi Lan, Xiaonan Luo:
A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling. Wirel. Commun. Mob. Comput. 2020: 8822624:1-8822624:12 (2020) - [c10]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:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [i1]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, Liang Chen, Jiangtao Zhang, Xiaotong Luo, 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. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020)
2010 – 2019
- 2019
- [j19]Rushi Lan, Li Zhang, Zhiling Tang, Zhenbing Liu, Xiaonan Luo:
A Hierarchical Sorting Swarm Optimizer for Large-Scale Optimization. IEEE Access 7: 40625-40635 (2019) - [j18]Lingqiao Li, Xipeng Pan, Huihua Yang, Tao Zhang, Zhenbing Liu:
Supervised Dictionary Learning With Regularization for Near-Infrared Spectroscopy Classification. IEEE Access 7: 100923-100932 (2019) - [j17]Xipeng Pan, Lingqiao Li, Dengxian Yang, Yubei He, Zhenbing Liu, Huihua Yang:
An Accurate Nuclei Segmentation Algorithm in Pathological Image Based on Deep Semantic Network. IEEE Access 7: 110674-110686 (2019) - [j16]Zhiwei Cao, Huihua Yang, Juan Zhao, Xipeng Pan, Longhao Zhang, Zhenbing Liu:
A New Region Proposal Network for Far-Infrared Pedestrian Detection. IEEE Access 7: 135023-135030 (2019) - [j15]Rushi Lan, Zeya Li, Zhenbing Liu, Tianlong Gu, Xiaonan Luo:
Hyperspectral image classification using k-sparse denoising autoencoder and spectral-restricted spatial characteristics. Appl. Soft Comput. 74: 693-708 (2019) - [c9]Zhenbing Liu, Zeya Li, Ming Zong, Wanting Ji, Ruili Wang, Yan Tian:
Spatiotemporal Saliency Based Multi-stream Networks for Action Recognition. ACPR Workshops 2019: 74-84 - [c8]Huanhuan Ji, Zhenbing Liu, Wei Qi Yan, Reinhard Klette:
Early Diagnosis of Alzheimer's Disease Based on Selective Kernel Network with Spatial Attention. ACPR (2) 2019: 503-515 - [c7]Mingchang Xu, Zhenbing Liu, Zimin Wang, Long Sun, Zhibin Liang:
The Diagnosis of Alzheimer's Disease Based on Enhanced Residual Neutral Network. CyberC 2019: 405-411 - [c6]Zimin Wang, Zhiyu Gan, Zhenbing Liu, Linfa Lu, Xiaonan Luo:
A dynamical model for generating synthetic Ballistocardiogram signals. ICACI 2019: 56-61 - [c5]Haizhang Zou, Rushi Lan, Yanru Zhong, Zhenbing Liu, Xiaonan Luo:
EDCNN: A Novel Network for Image Denoising. ICIP 2019: 1129-1133 - [c4]Wenhao Wang, Cheng Pang, Zhenbing Liu, Rushi Lan, Xiaonan Luo:
SRGNet: A GRU Based Feature Fusion Network for Image Denoising. ISPACS 2019: 1-2 - [p2]Xipeng Pan, Lingqiao Li, Huihua Yang, Zhenbing Liu, Yubei He, Zhongming Li, Yong-Xian Fan, Zhiwei Cao, Longhao Zhang:
Multi-task Deep Learning for Fine-Grained Classification/Grading in Breast Cancer Histopathological Images. Cognitive Internet of Things 2019: 85-95 - [p1]Zhenbing Liu, Huanhuan Ji, Shujie Jiang:
Medicine Discrimination of NIRS Based on Regularized Collaborative Representation Classification with Gabor Optimizer. Cognitive Internet of Things 2019: 97-108 - 2018
- [j14]Rushi Lan, Huadeng Wang, Si Zhong, Zhenbing Liu, Xiaonan Luo:
An integrated scattering feature with application to medical image retrieval. Comput. Electr. Eng. 69: 669-675 (2018) - [j13]Zhenbing Liu, Chao Ma, Chunyang Gao, Huihua Yang, Rushi Lan, Xiaonan Luo:
Cost-sensitive collaborative representation based classification via probability estimation with addressing the class imbalance. Multim. Tools Appl. 77(9): 10835-10851 (2018) - [j12]Rushi Lan, Si Zhong, Zhenbing Liu, Zhuo Shi, Xiaonan Luo:
A simple texture feature for retrieval of medical images. Multim. Tools Appl. 77(9): 10853-10866 (2018) - [j11]Zhenbing Liu, Tao Xu, Chao Ma, Chunyang Gao, Huihua Yang:
T-test based Alzheimer's disease diagnosis with multi-feature in MRIs. Multim. Tools Appl. 77(22): 29687-29703 (2018) - [j10]Xipeng Pan, Dengxian Yang, Lingqiao Li, Zhenbing Liu, Huihua Yang, Zhiwei Cao, Yubei He, Zhen Ma, Yiyi Chen:
Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks. World Wide Web 21(6): 1721-1743 (2018) - 2017
- [j9]Xipeng Pan, Lingqiao Li, Hui-Hua Yang, Zhenbing Liu, Jinxin Yang, Lingling Zhao, Yong-Xian Fan:
Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks. Neurocomputing 229: 88-99 (2017) - [c3]Zhenbing Liu, Tao Xu, Chao Ma, Chunyang Gao, Huihua Yang:
Alzheimer's disease diagnosis via interested structure selection in MRIs. ICNC-FSKD 2017: 13-19 - 2016
- [j8]Zhenbing Liu, Chunyang Gao, Huihua Yang, Qijia He:
A Cost-Sensitive Sparse Representation Based Classification for Class-Imbalance Problem. Sci. Program. 2016: 8035089:1-8035089:9 (2016) - [c2]Zhenbing Liu, Chunyang Gao, Huihua Yang, Qijia He:
Cost-sensitive sparse representation based classification. CCIS 2016: 177-181 - 2014
- [j7]Hui Nie, Bo Liu, Pumo Xie, Zhenbing Liu, Huihua Yang:
A Cuckoo Search Algorithm for Scheduling Multiskilled Workforce. J. Networks 9(5): 1346-1353 (2014) - 2013
- [j6]Zhenbing Liu, Shujie Jiang, Hui-Hua Yang, Jianguo Liu:
Arbitrary-length Fast Hartley Transform without Multiplications. J. Comput. 8(10): 2656-2663 (2013) - [j5]Hui-Hua Yang, Lei Zhai, Lingqiao Li, Zhenbing Liu, Yichen Luo, Yong Wang, Haiyan Lai, Ming Guan:
An Efficient Vehicle Model Recognition Method. J. Softw. 8(8): 1952-1959 (2013) - 2012
- [j4]Jianguo Liu, Chao Pan, Zhenbing Liu:
Novel Convolutions Using First-Order Moments. IEEE Trans. Computers 61(7): 1050-1056 (2012) - 2011
- [c1]Zhenbing Liu:
Maximal-Margin Approach for Cost-Sensitive Learning Based on Scaled Convex Hull. ISNN (1) 2011: 620-628 - 2010
- [j3]Zhenbing Liu, Jianguo Liu, Guoyou Wang:
An Arbitrary-length and Multiplierless DCT Algorithm and Systolic Implementation. J. Comput. 5(5): 725-732 (2010)
2000 – 2009
- 2009
- [j2]Zhenbing Liu, Jianguo Liu, Zhong Chen:
A generalized Gilbert's algorithm for approximating general SVM classifiers. Neurocomputing 73(1-3): 219-224 (2009) - [j1]Zhenbing Liu, J. G. Liu, Chao Pan, Guoyou Wang:
A Novel Geometric Approach to Binary Classification Based on Scaled Convex Hulls. IEEE Trans. Neural Networks 20(7): 1215-1220 (2009)
Coauthor Index
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