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2020 – today
- 2024
[j50]Wei Wang, Zhaowei Shang, Chengxing Li:
Brain-inspired semantic data augmentation for multi-style images. Frontiers Neurorobotics 18 (2024)- [j49]Haoyan Yang
, Mingliang Zhou, Zhaowei Shang, Huayan Pu, Jun Luo, Xiaoxu Huang, Shilong Wang, Huajun Cao, Xuekai Wei, Weizhi Xian:
An End-to-End Video Coding Method via Adaptive Vision Transformer. Int. J. Pattern Recognit. Artif. Intell. 38(1): 2354023:1-2354023:23 (2024) - [j48]Jiajun Ma, Yuan Yan Tang, Zhaowei Shang:
Discriminative latent subspace learning with adaptive metric learning. Neural Comput. Appl. 36(4): 2049-2066 (2024) - [j47]Wenhao Shen, Mingliang Zhou, Xuekai Wei, Heqiang Wang, Bin Fang, Cheng Ji, Xu Zhuang, Jason Wang, Jun Luo, Huayan Pu, Xiaoxu Huang, Shilong Wang, Huajun Cao, Yong Feng, Tao Xiang, Zhaowei Shang:
A Blind Video Quality Assessment Method via Spatiotemporal Pyramid Attention. IEEE Trans. Broadcast. 70(1): 251-264 (2024) - [j46]Shujun Lang, Xu Liu, Mingliang Zhou, Jun Luo, Huayan Pu, Xu Zhuang, Jason Wang, Xuekai Wei, Taiping Zhang, Yong Feng, Zhaowei Shang:
A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer. IEEE Trans. Broadcast. 70(1): 316-324 (2024) - [j45]Mingliang Zhou, Heqiang Wang, Xuekai Wei, Yong Feng, Jun Luo, Huayan Pu, Jinglei Zhao, Liming Wang, Zhigang Chu, Xin Wang, Bin Fang, Zhaowei Shang:
HDIQA: A Hyper Debiasing Framework for Full Reference Image Quality Assessment. IEEE Trans. Broadcast. 70(2): 545-554 (2024) - 2023
- [j44]Mingliang Zhou, Shujun Lang, Taiping Zhang, Xingran Liao, Zhaowei Shang, Tao Xiang, Bin Fang:
Attentional Feature Fusion for End-to-End Blind Image Quality Assessment. IEEE Trans. Broadcast. 69(1): 144-152 (2023) - [j43]Xuting Lan, Mingliang Zhou, Xueyong Xu, Xuekai Wei, Xingran Liao, Huayan Pu, Jun Luo, Tao Xiang, Bin Fang, Zhaowei Shang:
Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment. IEEE Trans. Broadcast. 69(3): 801-811 (2023) - [c19]Yanjie Yang, Jun Luo, Huayan Pu, Mingliang Zhou, Xuekai Wei, Taiping Zhang, Zhaowei Shang:
A Lightweight Multi-Scale Based Attention Network for Image Super-Resolution. IECON 2023: 1-6 - [c18]Yu Xiao, Tao Qiu, Xinqi Jiang, Qi Yang, Zhaowei Shang, Taiping Zhang:
Object Detection via Multi-Scale Token Based on Vision Transformer. SMC 2023: 427-432 - 2022
- [j42]Xingtai Wu, Bin Wu, Jingyuan He, Bin Fang, Zhaowei Shang, Mingliang Zhou:
A Structure Preservation and Denoising Low-Light Enhancement Model via Coefficient of Variation. Int. J. Pattern Recognit. Artif. Intell. 36(13): 2254018:1-2254018:16 (2022) - [j41]Nan Ke, Zhaowei Shang, Lingzhi Zhao, Yingxin Wang, Mingliang Zhou:
Multi-Scale Correlation for Deep Homography Estimation. J. Circuits Syst. Comput. 31(8): 2250145:1-2250145:14 (2022) - [j40]Sen Zhang, Zhaowei Shang, Mingliang Zhou, Yingxin Wang, Guoliang Sun:
Cross-modal identity correlation mining for visible-thermal person re-identification. Multim. Tools Appl. 81(28): 39981-39994 (2022) - [j39]Linchang Zhao, Zhaowei Shang, Jin Tan, Mingliang Zhou, Mu Zhang, Dagang Gu, Taiping Zhang, Yuan Yan Tang:
Siamese networks with an online reweighted example for imbalanced data learning. Pattern Recognit. 132: 108947 (2022) - [j38]Wenhao Shen, Mingliang Zhou, Xing-ran Liao, Weijia Jia, Tao Xiang, Bin Fang, Zhaowei Shang:
An End-to-End No-Reference Video Quality Assessment Method With Hierarchical Spatiotemporal Feature Representation. IEEE Trans. Broadcast. 68(3): 651-660 (2022) - [c17]Yimeng Long, Zhaowei Shang, Lingzhi Zhao:
Bearing Fault Diagnosis Based on Dynamic Convolution and Multi-scale Gradient Information Aggregation Under Variable Working Conditions. ICONIP (6) 2022: 249-263 - 2020
- [j37]Linchang Zhao, Zhaowei Shang, Jin Tan, Xiaoliu Luo, Taiping Zhang, Yu Wei, Yuan Yan Tang:
Adaptive parameter estimation of GMM and its application in clustering. Future Gener. Comput. Syst. 106: 250-259 (2020) - [i2]Anyong Qin, Zhaowei Shang, Zhuolin Tan, Taiping Zhang, Yuan Yan Tang:
Learning a Deep Part-based Representation by Preserving Data Distribution. CoRR abs/2009.08246 (2020)
2010 – 2019
- 2019
- [j36]Linchang Zhao, Zhaowei Shang, Ling Zhao, Anyong Qin, Yuan Yan Tang:
Siamese Dense Neural Network for Software Defect Prediction With Small Data. IEEE Access 7: 7663-7677 (2019) - [j35]Shangjun Ma, Wenkai Liu, Wei Cai, Zhaowei Shang, Geng Liu:
Lightweight Deep Residual CNN for Fault Diagnosis of Rotating Machinery Based on Depthwise Separable Convolutions. IEEE Access 7: 57023-57036 (2019) - [j34]Linchang Zhao, Zhaowei Shang, Anyong Qin, Taiping Zhang, Ling Zhao, Yu Wei, Yuan Yan Tang:
A cost-sensitive meta-learning classifier: SPFCNN-Miner. Future Gener. Comput. Syst. 100: 1031-1043 (2019) - [j33]Linchang Zhao, Zhaowei Shang, Ling Zhao, Taiping Zhang, Yuan Yan Tang:
Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks. Neurocomputing 352: 64-74 (2019) - [j32]Ailin Li, Anyong Qin, Zhaowei Shang, Yuan Yan Tang:
Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image. Int. J. Pattern Recognit. Artif. Intell. 33(3): 1955003:1-1955003:19 (2019) - [j31]Yiyang Ding, Anyong Qin, Zhaowei Shang, Jiye Qian:
Spatial distribution preserving-based sparse subspace clustering for hyperspectral image. Int. J. Wavelets Multiresolution Inf. Process. 17(2): 1940010:1-1940010:18 (2019) - [j30]Yuanping Zhang, Yuanyan Tang, Bin Fang, Zhaowei Shang:
Multi-object tracking using deformable convolution networks with tracklets updating. Int. J. Wavelets Multiresolution Inf. Process. 17(6): 1950042:1-1950042:20 (2019) - [j29]Anyong Qin, Zhaowei Shang, Jinyu Tian, Yulong Wang, Taiping Zhang, Yuan Yan Tang:
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(2): 241-245 (2019) - [j28]Shangjun Ma, Wei Cai, Wenkai Liu, Zhaowei Shang, Geng Liu:
A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery. Sensors 19(10): 2381 (2019) - [j27]Yulong Wang, Cuiming Zou, Yuan Yan Tang, Luoqing Li, Zhaowei Shang:
Cauchy greedy algorithm for robust sparse recovery and multiclass classification. Signal Process. 164: 284-294 (2019) - [c16]Minquan Wang, Zhaowei Shang:
Deep Separable Convolution Neural Network for Illumination Estimation. ICAART (2) 2019: 879-886 - [c15]Anyong Qin, Zhaowei Shang, Taiping Zhang, Yuan Yan Tang:
Distribution Preserving Network Embedding. ICASSP 2019: 3562-3566 - [c14]Chang Liu, Zhaowei Shang, Anyong Qin:
A Multiscale Image Denoising Algorithm Based on Dilated Residual Convolution Network. IGTA 2019: 193-203 - [c13]Ailin Li, Zhaowei Shang:
A new Spectral-Spatial Pseudo-3D Dense Network for Hyperspectral Image Classification. IJCNN 2019: 1-7 - 2018
- [j26]Chong Wen Liu, Zhaowei Shang, Bo Lin, Yuan Yan Tang:
A semantic tree method for image classification and video action recognition. Int. J. Wavelets Multiresolution Inf. Process. 16(2): 1840008:1-1840008:16 (2018) - [j25]Lin Chen, Bin Fang, Zhaowei Shang, Yuanyan Tang:
Tackling class overlap and imbalance problems in software defect prediction. Softw. Qual. J. 26(1): 97-125 (2018) - [j24]Anyong Qin, Zhaowei Shang, Jinyu Tian, Taiping Zhang, Yuan Yan Tang, Jiye Qian:
Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(7): 2501-2512 (2018) - [c12]Linchang Zhao, Zhaowei Shang, Anyong Qin, Yuan Yan Tang:
Parameter Estimation Of Gaussian Mixture Model Based On Variational Bayesian Learning. ICMLC 2018: 99-104 - [c11]Ailin Li, Anyong Qin, Shuyan Hu, Zhaowei Shang, Yuan Yan Tang:
Spectral-Spatial Sparse Subspace Clustering Based On Three-Dimensional Edge-Preserving Filtering For Hyperspectral Image. ICMLC 2018: 167-172 - [i1]Chang Liu, Zhaowei Shang, Anyong Qin:
A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network. CoRR abs/1812.09131 (2018) - 2017
- [j23]Jinyu Tian, Taiping Zhang, Anyong Qin, Zhaowei Shang, Yuan Yan Tang:
Learning the Distribution Preserving Semantic Subspace for Clustering. IEEE Trans. Image Process. 26(12): 5950-5965 (2017) - [c10]Chong Wen Liu, Zhaowei Shang, Yuan Yan Tang:
Zero-Shot Learning with Fuzzy Attribute. CYBCONF 2017: 1-6 - [c9]Anyong Qin, Zhaowei Shang, Jinyu Tian, Taiping Zhang, Yulong Wang, Yuanyan Tang:
Using Graph-Based Ensemble Learning to Classify Imbalanced Data. CYBCONF 2017: 1-6 - [c8]Anyong Qin, Zhaowei Shang, Jinyu Tian, Ailin Li, Yulong Wang, Yuan Yan Tang:
Maximum correntropy criterion for convex anc semi-nonnegative matrix factorization. SMC 2017: 1856-1861 - [c7]Yuanping Zhang, Yuanyan Tang, Bin Fang, Zhaowei Shang:
Fast multi-object tracking using convolutional neural networks with tracklets updating. SPAC 2017: 313-317 - 2016
- [j22]Chong Wen Liu, Zhaowei Shang, Yuan Yan Tang:
An image classification method that considers privacy-preservation. Neurocomputing 208: 80-98 (2016) - [c6]Anyong Qin, Zhaowei Shang, Taiping Zhang, Yiyang Ding, Yuan Yan Tang:
Minimum Description Length Principle Based Atomic Norm for Synthetic Low-Rank Matrix Recovery. CCBD 2016: 7-12 - [c5]Chang Liu, Zhaowei Shang, Qiaosong Chen:
An Adaptive Tone Mapping Algorithm Based on Gaussian Filter. CCBD 2016: 374-379 - [c4]Lin Chen, Bin Fang, Zhaowei Shang:
Software fault prediction based on one-class SVM. ICMLC 2016: 1003-1008 - 2015
- [j21]Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Zhaowei Shang, Yuewei Lin:
NNMap: A method to construct a good embedding for nearest neighbor classification. Neurocomputing 152: 97-108 (2015) - [j20]Fangnian Lang, Jiliu Zhou, Yuan Yan Tang, Zhaowei Shang:
A color image enhancement algorithm based on quaternion representation of vector rotation. Int. J. Wavelets Multiresolution Inf. Process. 13(5): 1550038:1-1550038:30 (2015) - [j19]Lin Chen, Bin Fang, Zhaowei Shang, Yuanyan Tang:
Negative samples reduction in cross-company software defects prediction. Inf. Softw. Technol. 62: 67-77 (2015) - 2014
- [j18]Taiping Zhang, Yuan Yan Tang, C. L. Philip Chen, Zhaowei Shang, Bin Fang:
An approximate closed-form solution to correlation similarity discriminant analysis. Neurocomputing 135: 284-298 (2014) - [j17]Fangnian Lang, Jiliu Zhou, Yuan Yan Tang, Hongnian Yu, Shuang Cang, Zhaowei Shang:
Characteristics analysis of wavelet coefficients and its applications in image compression. Int. J. Wavelets Multiresolution Inf. Process. 12(3) (2014) - [c3]Yuanping Zhang, Yuanyan Tang, Bin Fang, Zhaowei Shang, Ching Y. Suen:
Self-organizing Map-Based Object Tracking with Saliency Map and K-Means Segmentation. CCPR (1) 2014: 436-444 - [c2]Chong Wen Liu, Zhaowei Shang, Yuan Yan Tang:
Cross-scene learning: Improving classification performance by using "gray sample". SMC 2014: 4077-4084 - 2013
- [j16]Weibin Yang, Yuan Yan Tang, Bin Fang, Zhaowei Shang, Yuewei Lin:
Visual saliency detection with center shift. Neurocomputing 103: 63-74 (2013) - [j15]Bin Xu, Zhaowei Shang, Yuan Yan Tang, Bin Fang, Taiping Zhang:
Occlusion robust Face Recognition with scattering Operator in Gradient Domain. Int. J. Wavelets Multiresolution Inf. Process. 11(1) (2013) - [j14]Yuewei Lin, Yuan Yan Tang, Bin Fang, Zhaowei Shang, Yonghui Huang, Song Wang:
A Visual-Attention Model Using Earth Mover's Distance-Based Saliency Measurement and Nonlinear Feature Combination. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 314-328 (2013) - [j13]Hengjun Zhao, Zhaowei Shang, Yuan Yan Tang, Bin Fang:
Multi-focus image fusion based on the neighbor distance. Pattern Recognit. 46(3): 1002-1011 (2013) - 2012
- [j12]Fangnian Lang, Jiliu Zhou, Shuang Cang, Hongnian Yu, Zhaowei Shang:
A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm. Expert Syst. Appl. 39(15): 12046-12060 (2012) - [j11]Bin Xu, Yuan Yan Tang, Bin Fang, Zhaowei Shang:
Multi-Scale Gradient Invariant for Face Recognition under varying Illumination. Int. J. Pattern Recognit. Artif. Intell. 26(8) (2012) - [j10]Ping Zhao, Zhaowei Shang, Chun Zhao:
Image Denoising Based on Gaussian and Non-Gaussian Assumption. Int. J. Wavelets Multiresolution Inf. Process. 10(2) (2012) - [j9]Guanghui He, LingFeng Zhang, Zhaowei Shang:
Correlation-Based Multidimensional Scaling for Unsupervised Subspace Learning. Int. J. Wavelets Multiresolution Inf. Process. 10(3) (2012) - [j8]Zhaowei Shang, LingFeng Zhang, Hengjun Zhao, Lan Zhang:
Image Fusion Method Based on Multi-Directional Support Value Transform. Int. J. Wavelets Multiresolution Inf. Process. 10(5) (2012) - [j7]Guanghui He, Zhaowei Shang, Hengxin Chen:
Distance-Ratio Learning for Data Visualization. Int. J. Wavelets Multiresolution Inf. Process. 10(6) (2012) - [c1]Weibin Yang, Bin Fang, Yuan Yan Tang, Zhaowei Shang, Hengjun Zhao:
Visual saliency estimation using support value transform. ICIP 2012: 1069-1072 - 2010
- [j6]Taiping Zhang, Bin Fang, Yuan Yan Tang, Zhaowei Shang, Guanghui He:
A Least-Squares Model to Orthogonal Linear Discriminant Analysis. Int. J. Pattern Recognit. Artif. Intell. 24(4): 635-650 (2010) - [j5]Taiping Zhang, Bin Fang, Yuan Yan Tang, Zhaowei Shang:
Locality Preserving Nonnegative Matrix Factorization with Application to Face Recognition. Int. J. Wavelets Multiresolution Inf. Process. 8(5): 835-846 (2010) - [j4]Taiping Zhang, Bin Fang, Yuan Yan Tang, Zhaowei Shang, Bin Xu:
Generalized Discriminant Analysis: A Matrix Exponential Approach. IEEE Trans. Syst. Man Cybern. Part B 40(1): 186-197 (2010)
2000 – 2009
- 2009
- [j3]Taiping Zhang, Bin Fang, Yuan Yuan, Yuan Yan Tang, Zhaowei Shang, Donghui Li, Fangnian Lang:
Multiscale facial structure representation for face recognition under varying illumination. Pattern Recognit. 42(2): 251-258 (2009) - [j2]Taiping Zhang, Yuan Yan Tang, Bin Fang, Zhaowei Shang, Xiaoyu Liu:
Face Recognition Under Varying Illumination Using Gradientfaces. IEEE Trans. Image Process. 18(11): 2599-2606 (2009) - 2008
- [j1]Zhaowei Shang, Yuan Yan Tang, Bin Fang, Jing Wen, Yat Zhou Ong:
Multiresolution Signal Decomposition and Approximation Based on Support Vector Machines. Int. J. Wavelets Multiresolution Inf. Process. 6(4): 593-607 (2008)
Coauthor Index
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