Multiresolution Signal Decomposition and Approximation Based on Support Vector Machines. - Zhaowei Shang; Yuan Yan Tang; Bin Fang 001; Jing Wen; Yat Zhou Ong (Int. J. Wavelets Multiresolution Inf. Process., 2008)

Multiscale facial structure representation for face recognition under varying illumination. - Taiping Zhang; Bin Fang 001; Yuan Yuan 001; Yuan Yan Tang; Zhaowei Shang; Donghui Li; Fangnian Lang (Pattern Recognit., 2009)

Face Recognition Under Varying Illumination Using Gradientfaces. - Taiping Zhang; Yuan Yan Tang; Bin Fang 001; Zhaowei Shang; Xiaoyu Liu (IEEE Trans. Image Process., 2009)

A Least-Squares Model to Orthogonal Linear Discriminant Analysis. - Taiping Zhang; Bin Fang 001; Yuan Yan Tang; Zhaowei Shang; Guanghui He (Int. J. Pattern Recognit. Artif. Intell., 2010)

Locality Preserving Nonnegative Matrix Factorization with Application to Face Recognition. - Taiping Zhang; Bin Fang 001; Yuan Yan Tang; Zhaowei Shang (Int. J. Wavelets Multiresolution Inf. Process., 2010)

Generalized Discriminant Analysis: A Matrix Exponential Approach. - Taiping Zhang; Bin Fang 001; Yuan Yan Tang; Zhaowei Shang; Bin Xu (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Visual saliency estimation using support value transform. - Weibin Yang; Bin Fang 001; Yuan Yan Tang; Zhaowei Shang; Hengjun Zhao (ICIP, 2012)

A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm. - Fangnian Lang; Jiliu Zhou; Shuang Cang; Hongnian Yu; Zhaowei Shang (Expert Syst. Appl., 2012)

Multi-Scale Gradient Invariant for Face Recognition under varying Illumination. - Bin Xu; Yuan Yan Tang; Bin Fang 001; Zhaowei Shang (Int. J. Pattern Recognit. Artif. Intell., 2012)

Distance-Ratio Learning for Data Visualization. - Guanghui He; Zhaowei Shang; Hengxin Chen (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Correlation-Based Multidimensional Scaling for Unsupervised Subspace Learning. - Guanghui He; Lingfeng Zhang 001; Zhaowei Shang (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Image Fusion Method Based on Multi-Directional Support Value Transform. - Zhaowei Shang; Lingfeng Zhang 001; Hengjun Zhao; Lan Zhang (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Image Denoising Based on Gaussian and Non-Gaussian Assumption. - Ping Zhao 004; Zhaowei Shang; Chun Zhao (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Visual saliency detection with center shift. - Weibin Yang; Yuan Yan Tang; Bin Fang 001; Zhaowei Shang; Yuewei Lin (Neurocomputing, 2013)

Occlusion robust Face Recognition with scattering Operator in Gradient Domain. - Bin Xu; Zhaowei Shang; Yuan Yan Tang; Bin Fang 001; Taiping Zhang (Int. J. Wavelets Multiresolution Inf. Process., 2013)

A Visual-Attention Model Using Earth Mover's Distance-Based Saliency Measurement and Nonlinear Feature Combination. - Yuewei Lin; Yuan Yan Tang; Bin Fang 001; Zhaowei Shang; Yonghui Huang; Song Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Multi-focus image fusion based on the neighbor distance. - Hengjun Zhao; Zhaowei Shang; Yuan Yan Tang; Bin Fang 001 (Pattern Recognit., 2013)

Self-organizing Map-Based Object Tracking with Saliency Map and K-Means Segmentation. - Yuanping Zhang; Yuanyan Tang; Bin Fang 001; Zhaowei Shang; Ching Y. Suen (CCPR (1), 2014)

Cross-scene learning: Improving classification performance by using "gray sample". - Chong Wen Liu; Zhaowei Shang; Yuan Yan Tang (SMC, 2014)

An approximate closed-form solution to correlation similarity discriminant analysis. - Taiping Zhang; Yuan Yan Tang; C. L. Philip Chen; Zhaowei Shang; Bin Fang 001 (Neurocomputing, 2014)

Characteristics analysis of wavelet coefficients and its applications in image compression. - Fangnian Lang; Jiliu Zhou; Yuan Yan Tang; Hongnian Yu; Shuang Cang; Zhaowei Shang (Int. J. Wavelets Multiresolution Inf. Process., 2014)

NNMap: A method to construct a good embedding for nearest neighbor classification. - Jing Chen 008; Yuan Yan Tang; C. L. Philip Chen; Bin Fang 001; Zhaowei Shang; Yuewei Lin (Neurocomputing, 2015)

A color image enhancement algorithm based on quaternion representation of vector rotation. - Fangnian Lang; Jiliu Zhou; Yuan Yan Tang; Zhaowei Shang (Int. J. Wavelets Multiresolution Inf. Process., 2015)

Negative samples reduction in cross-company software defects prediction. - Lin Chen 023; Bin Fang 001; Zhaowei Shang; Yuanyan Tang (Inf. Softw. Technol., 2015)

An Adaptive Tone Mapping Algorithm Based on Gaussian Filter. - Chang Liu 017; Zhaowei Shang; Qiaosong Chen (CCBD, 2016)

Minimum Description Length Principle Based Atomic Norm for Synthetic Low-Rank Matrix Recovery. - Anyong Qin; Zhaowei Shang; Taiping Zhang; Yiyang Ding; Yuan Yan Tang (CCBD, 2016)

Software fault prediction based on one-class SVM. - Lin Chen 023; Bin Fang 001; Zhaowei Shang (ICMLC, 2016)

An image classification method that considers privacy-preservation. - Chong Wen Liu; Zhaowei Shang; Yuan Yan Tang (Neurocomputing, 2016)

Zero-Shot Learning with Fuzzy Attribute. - Chong Wen Liu; Zhaowei Shang; Yuan Yan Tang (CYBCONF, 2017)

Using Graph-Based Ensemble Learning to Classify Imbalanced Data. - Anyong Qin; Zhaowei Shang; Jinyu Tian 001; Taiping Zhang; Yulong Wang 002; Yuanyan Tang (CYBCONF, 2017)

Maximum correntropy criterion for convex anc semi-nonnegative matrix factorization. - Anyong Qin; Zhaowei Shang; Jinyu Tian 001; Ailin Li; Yulong Wang 002; Yuan Yan Tang (SMC, 2017)

Fast multi-object tracking using convolutional neural networks with tracklets updating. - Yuanping Zhang; Yuanyan Tang; Bin Fang 001; Zhaowei Shang (SPAC, 2017)

Learning the Distribution Preserving Semantic Subspace for Clustering. - Jinyu Tian 001; Taiping Zhang; Anyong Qin; Zhaowei Shang; Yuan Yan Tang (IEEE Trans. Image Process., 2017)

Spectral-Spatial Sparse Subspace Clustering Based On Three-Dimensional Edge-Preserving Filtering For Hyperspectral Image. - Ailin Li; Anyong Qin; Shuyan Hu; Zhaowei Shang; Yuan Yan Tang (ICMLC, 2018)

Parameter Estimation Of Gaussian Mixture Model Based On Variational Bayesian Learning. - Linchang Zhao; Zhaowei Shang; Anyong Qin; Yuan Yan Tang (ICMLC, 2018)

A semantic tree method for image classification and video action recognition. - Chong Wen Liu; Zhaowei Shang; Bo Lin; Yuan Yan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2018)

Tackling class overlap and imbalance problems in software defect prediction. - Lin Chen 023; Bin Fang 001; Zhaowei Shang; Yuanyan Tang (Softw. Qual. J., 2018)

Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification. - Anyong Qin; Zhaowei Shang; Jinyu Tian 001; Taiping Zhang; Yuan Yan Tang; Jiye Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Deep Separable Convolution Neural Network for Illumination Estimation. - Minquan Wang; Zhaowei Shang (ICAART (2), 2019)

Distribution Preserving Network Embedding. - Anyong Qin; Zhaowei Shang; Taiping Zhang; Yuan Yan Tang (ICASSP, 2019)

A Multiscale Image Denoising Algorithm Based on Dilated Residual Convolution Network. - Chang Liu 017; Zhaowei Shang; Anyong Qin (IGTA, 2019)

A new Spectral-Spatial Pseudo-3D Dense Network for Hyperspectral Image Classification. - Ailin Li; Zhaowei Shang (IJCNN, 2019)

Lightweight Deep Residual CNN for Fault Diagnosis of Rotating Machinery Based on Depthwise Separable Convolutions. - Shangjun Ma; Wenkai Liu; Wei Cai; Zhaowei Shang; Geng Liu (IEEE Access, 2019)

Siamese Dense Neural Network for Software Defect Prediction With Small Data. - Linchang Zhao; Zhaowei Shang; Ling Zhao; Anyong Qin; Yuan Yan Tang (IEEE Access, 2019)

A cost-sensitive meta-learning classifier: SPFCNN-Miner. - Linchang Zhao; Zhaowei Shang; Anyong Qin; Taiping Zhang; Ling Zhao; Yu Wei; Yuan Yan Tang (Future Gener. Comput. Syst., 2019)

Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks. - Linchang Zhao; Zhaowei Shang; Ling Zhao; Taiping Zhang; Yuan Yan Tang (Neurocomputing, 2019)

Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image. - Ailin Li; Anyong Qin; Zhaowei Shang; Yuan Yan Tang (Int. J. Pattern Recognit. Artif. Intell., 2019)

Spatial distribution preserving-based sparse subspace clustering for hyperspectral image. - Yiyang Ding; Anyong Qin; Zhaowei Shang; Jiye Qian (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Multi-object tracking using deformable convolution networks with tracklets updating. - Yuanping Zhang; Yuanyan Tang; Bin Fang 001; Zhaowei Shang (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification. - Anyong Qin; Zhaowei Shang; Jinyu Tian 001; Yulong Wang 002; Taiping Zhang; Yuan Yan Tang (IEEE Geosci. Remote. Sens. Lett., 2019)

A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery. - Shangjun Ma; Wei Cai; Wenkai Liu; Zhaowei Shang; Geng Liu (Sensors, 2019)

Cauchy greedy algorithm for robust sparse recovery and multiclass classification. - Yulong Wang 002; Cuiming Zou; Yuan Yan Tang; Luoqing Li; Zhaowei Shang (Signal Process., 2019)

Learning a Deep Part-based Representation by Preserving Data Distribution. - Anyong Qin; Zhaowei Shang; Zhuolin Tan; Taiping Zhang; Yuan Yan Tang (CoRR, 2020)

Adaptive parameter estimation of GMM and its application in clustering. - Linchang Zhao; Zhaowei Shang; Jin Tan; Xiaoliu Luo; Taiping Zhang; Yu Wei; Yuan Yan Tang (Future Gener. Comput. Syst., 2020)

Bearing Fault Diagnosis Based on Dynamic Convolution and Multi-scale Gradient Information Aggregation Under Variable Working Conditions. - Yimeng Long; Zhaowei Shang; Lingzhi Zhao (ICONIP (6), 2022)

A Structure Preservation and Denoising Low-Light Enhancement Model via Coefficient of Variation. - Xingtai Wu; Bin Wu; Jingyuan He; Bin Fang 001; Zhaowei Shang; Mingliang Zhou 001 (Int. J. Pattern Recognit. Artif. Intell., 2022)

Multi-Scale Correlation for Deep Homography Estimation. - Nan Ke; Zhaowei Shang; Lingzhi Zhao; Yingxin Wang; Mingliang Zhou 001 (J. Circuits Syst. Comput., 2022)

Cross-modal identity correlation mining for visible-thermal person re-identification. - Sen Zhang; Zhaowei Shang; Mingliang Zhou; Yingxin Wang; Guoliang Sun (Multim. Tools Appl., 2022)

Siamese networks with an online reweighted example for imbalanced data learning. - Linchang Zhao; Zhaowei Shang; Jin Tan; Mingliang Zhou; Mu Zhang 010; Dagang Gu; Taiping Zhang; Yuan Yan Tang (Pattern Recognit., 2022)

An End-to-End No-Reference Video Quality Assessment Method With Hierarchical Spatiotemporal Feature Representation. - Wenhao Shen; Mingliang Zhou 001; Xing-ran Liao; Weijia Jia 001; Tao Xiang 001; Bin Fang 001; Zhaowei Shang (IEEE Trans. Broadcast., 2022)

A Lightweight Multi-Scale Based Attention Network for Image Super-Resolution. - Yanjie Yang; Jun Luo 006; Huayan Pu; Mingliang Zhou 001; Xuekai Wei; Taiping Zhang; Zhaowei Shang (IECON, 2023)

Object Detection via Multi-Scale Token Based on Vision Transformer. - Yu Xiao; Tao Qiu; Xinqi Jiang; Qi Yang; Zhaowei Shang; Taiping Zhang (SMC, 2023)

Attentional Feature Fusion for End-to-End Blind Image Quality Assessment. - Mingliang Zhou 001; Shujun Lang; Taiping Zhang; Xingran Liao; Zhaowei Shang; Tao Xiang 001; Bin Fang 001 (IEEE Trans. Broadcast., 2023)

Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment. - Xuting Lan; Mingliang Zhou 001; Xueyong Xu; Xuekai Wei; Xingran Liao; Huayan Pu; Jun Luo 003; Tao Xiang 001; Bin Fang 001; Zhaowei Shang (IEEE Trans. Broadcast., 2023)

Underwater Image Quality Assessment: A Perceptual Framework Guided by Physical Imaging. - Weizhi Xian; Mingliang Zhou 001; Leong Hou U; Shujun Lang; Bin Fang 001; Tao Xiang 001; Zhaowei Shang (CoRR, 2024)

Image Quality Assessment: Exploring Regional Heterogeneity via Response of Adaptive Multiple Quality Factors in Dictionary Space. - Xuting Lan; Mingliang Zhou 001; Jielu Yan; Xuekai Wei; Yueting Huang; Zhaowei Shang; Huayan Pu (CoRR, 2024)

Brain-inspired semantic data augmentation for multi-style images. - Wei Wang; Zhaowei Shang; Chengxing Li (Frontiers Neurorobotics, 2024)

An End-to-End Video Coding Method via Adaptive Vision Transformer. - Haoyan Yang; Mingliang Zhou 001; Zhaowei Shang; Huayan Pu; Jun Luo 006; Xiaoxu Huang; Shilong Wang 001; Huajun Cao; Xuekai Wei; Weizhi Xian (Int. J. Pattern Recognit. Artif. Intell., 2024)

Discriminative latent subspace learning with adaptive metric learning. - Jiajun Ma; Yuan Yan Tang; Zhaowei Shang (Neural Comput. Appl., 2024)

A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer. - Shujun Lang; Xu Liu 023; Mingliang Zhou 001; Jun Luo 003; Huayan Pu; Xu Zhuang; Jason Wang; Xuekai Wei; Taiping Zhang; Yong Feng 002; Zhaowei Shang (IEEE Trans. Broadcast., 2024)

A Blind Video Quality Assessment Method via Spatiotemporal Pyramid Attention. - Wenhao Shen; Mingliang Zhou 001; Xuekai Wei; Heqiang Wang; Bin Fang 001; Cheng Ji 002; Xu Zhuang; Jason Wang; Jun Luo 003; Huayan Pu; Xiaoxu Huang; Shilong Wang 001; et al. (IEEE Trans. Broadcast., 2024)

HDIQA: A Hyper Debiasing Framework for Full Reference Image Quality Assessment. - Mingliang Zhou 001; Heqiang Wang; Xuekai Wei; Yong Feng 002; Jun Luo 003; Huayan Pu; Jinglei Zhao; Liming Wang; Zhigang Chu; Xin Wang 051; Bin Fang 001; Zhaowei Shang (IEEE Trans. Broadcast., 2024)

Continuous reinforcement learning via advantage value difference reward shaping: A proximal policy optimization perspective. - Jiawei Lin; Xuekai Wei; Weizhi Xian; Jielu Yan; Leong Hou U; Yong Feng 002; Zhaowei Shang; Mingliang Zhou 001 (Eng. Appl. Artif. Intell., 2025)

Parallax Compensation-Driven Feature Transform Network for Super-Resolution Image Quality Assessment. - Yanjie Yang; Xuekai Wei; Taiping Zhang; Zhaowei Shang; Huayan Pu; Jun Luo 003; Siyuan Song; Lei Ouyang; Qin Mao; Mingliang Zhou 001 (J. Circuits Syst. Comput., 2025)

AFES: Attention-Based Feature Excitation and Sorting for Action Recognition. - Mingliang Zhou 001; Jiahao Li; Xuekai Wei; Jun Luo 006; Huayan Pu; Wei Wang; Jingyuan He; Zhaowei Shang (IEEE Trans. Consumer Electron., 2025)

Sparse Reduced-Rank Fully Connected Layers with Its Applications in Detection and Classification. - Linlin Fan; Mingliang Zhou 001; Xuekai Wei; Yong Feng 002; Tao Xiang 001; Bin Fang 001; Zhaowei Shang; Fan Jia; Xu Zhuang; Huayan Pu; Jun Luo 003 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Robust small-sample classification via RN50STN architecture with adaptive example reweighting. - Linchang Zhao; Bin Fang 001; Yu Jin; Guoqing Hu; Xiumei Wang; Yongchi Xu; Zhaowei Shang; Yuanyan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2025)