Observational and theoretical study of spectrally resolved ocean optical properties. - Taiping Zhang; William L. Smith Jr.; Thomas P. Charlock; C. Ken Rutledge; Zhonghai Jin; Glenn Cota; Bryan E. Fabbri (IGARSS, 2003)

Face Recognition Using Topology Preserving Nonnegative Matrix Factorization. - Taiping Zhang; Bin Fang 001; Guanghui He; Jing Wen; Yuanyan Tang (CIS, 2007)

Offline signature verification: A new rotation invariant approach. - Jing Wen; Bin Fang 001; Yuan Yan Tang; Taiping Zhang (SMC, 2007)

Total variation norm-based nonnegative matrix factorization for identifying discriminant representation of image patterns. - Taiping Zhang; Bin Fang 001; Weining Liu; Yuan Yan Tang; Guanghui He; Jing Wen (Neurocomputing, 2008)

Topology Preserving Non-negative Matrix Factorization for Face Recognition. - Taiping Zhang; Bin Fang 001; Yuan Yan Tang; Guanghui He; Jing Wen (IEEE Trans. Image Process., 2008)

Weightiness image Partition in 3D Face Recognition. - Guanghui He; Yuanyan Tang; Bin Fang 001; Taiping Zhang (SMC, 2009)

Combining Eodh and Directional Gradient Density for Offline Signature Verification. - Jing Wen; Bin Fang 001; Yuan Yan Tang; Patrick Shen-Pei Wang; Miao Cheng; Taiping Zhang (Int. J. Pattern Recognit. Artif. Intell., 2009)

Model-based signature verification with rotation invariant features. - Jing Wen; Bin Fang 001; Yuan Yan Tang; Taiping Zhang (Pattern Recognit., 2009)

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)

Incremental Embedding and Learning in the Local Discriminant Subspace With Application to Face Recognition. - Miao Cheng; Bin Fang 001; Yuan Yan Tang; Taiping Zhang; Jing Wen (IEEE Trans. Syst. Man Cybern. Part C, 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)

Orthogonal Isometric Projection. - Yali Zheng; Yuan Yan Tang; Bin Fang 001; Taiping Zhang (ICPR, 2012)

Document Clustering in Correlation Similarity Measure Space. - Taiping Zhang; Yuan Yan Tang; Bin Fang 001; Yong Xiang 001 (IEEE Trans. Knowl. Data Eng., 2012)

Learning orthogonal projections for Isomap. - Yali Zheng; Bin Fang 001; Yuan Yan Tang; Taiping Zhang; Ruizong Liu (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)

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)

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)

Learning the Distribution of Data for Embedding. - Yunpeng Shen; Pengfei Ren; Taiping Zhang; Yuan Yan Tang (CCBD, 2016)

Learning Proximity Relations for Feature Selection. - Taiping Zhang; Pengfei Ren; Yao Ge; Yali Zheng; Yuan Yan Tang; C. L. Philip Chen (IEEE Trans. Knowl. Data Eng., 2016)

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)

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)

Distribution preserving learning for unsupervised feature selection. - Ting Xie; Pengfei Ren; Taiping Zhang; Yuan Yan Tang (Neurocomputing, 2018)

Multi-view manifold learning with locality alignment. - Yue Zhao; Xinge You; Shujian Yu; Chang Xu 002; Wei Yuan 001; Xiao-Yuan Jing; Taiping Zhang; Dacheng Tao (Pattern Recognit., 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)

Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics. - Xiaoke Zhu; Xiao-Yuan Jing; Xinge You; Xinyu Zhang 012; Taiping Zhang (IEEE Trans. Image Process., 2018)

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

Big-Data Clustering: K-Means or K-Indicators? - Feiyu Chen; Yuchen Yang; Liwei Xu; Taiping Zhang; Yin Zhang (CoRR, 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)

MSSTResNet-TLD: A robust tracking method based on tracking-learning-detection framework by using multi-scale spatio-temporal residual network feature model. - Bing Liu 019; Qiao Liu 001; Taiping Zhang; Yong Yang (Neurocomputing, 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)

MSST-ResNet: Deep multi-scale spatiotemporal features for robust visual object tracking. - Bing Liu 019; Qiao Liu 001; Zhengyu Zhu; Taiping Zhang; Yong Yang (Knowl. Based Syst., 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)

Multi-view common component discriminant analysis for cross-view classification. - Xinge You; Jiamiao Xu; Wei Yuan 001; Xiao-Yuan Jing; Dacheng Tao; Taiping Zhang (Pattern Recognit., 2019)

Deep Fuzzy Clustering with Weighted Intra-class Variance and Extended Mutual Information Regularization. - Yunsheng Pang; Feiyu Chen 002; Sheng Huang 001; Yongxin Ge; Wei Wang; Taiping Zhang (ICDM (Workshops), 2020)

Non-Local Multi-Focus Image Fusion With Recurrent Neural Networks. - Zhao Duan; Taiping Zhang; Jin Tan; Xiaoliu Luo (IEEE Access, 2020)

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

Low-Rank Matrix Recovery from Noisy via an MDL Framework-based Atomic Norm. - Anyong Qin; Lina Xian; Yongliang Yang; 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)

The fast clustering algorithm for the big data based on K-means. - Ting Xie; Taiping Zhang (Int. J. Wavelets Multiresolution Inf. Process., 2020)

Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm. - Anyong Qin; Lina Xian; Yongliang Yang; Taiping Zhang; Yuan Yan Tang (Sensors, 2020)

Graph Affinity Network for Few-Shot Segmentation. - Xiaoliu Luo; Taiping Zhang (ICIP, 2021)

Explore Connection Pattern And Attention Mechanism For Lightweightimage Super-Resolution. - Zhu Qin; Taiping Zhang (ICIP, 2021)

RGB-Infrared Person Re-Identification Via Multi-Modality Relation Aggregation and Graph Convolution Network. - Jiangshan Sun; Taiping Zhang (ICIP, 2021)

Channel Interaction with Local Enhancement for Few-Shot Semantic Segmentation. - Jie Gao; Xiaoliu Luo; Taiping Zhang (IJCNN, 2021)

Channel Hourglass Residual Network For Single Image Super-Resolution. - Fangwei Hao; Xindi Ma; Taiping Zhang; Yuanyan Tang (IJCNN, 2021)

Target-aware for Few-shot Segmentation. - Xiaoliu Luo; Taiping Zhang; Zhao Duan; Jin Tan (IJCNN, 2021)

Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component. - Xindi Ma; Jie Gao; Xiaoyu Liu; Taiping Zhang; Yuan Yan Tang (SMC, 2021)

Bionic Optical Physical Unclonable Functions for Authentication and Encryption. - Yongbiao Wan; Pidong Wang; Feng Huang; Jun Yuan; Dong Li; Kun Chen; Jianbin Kang; Qian Li; Taiping Zhang; Song Sun; Zhiguang Qiu; Yao Yao (CoRR, 2021)

Authentication of optical physical unclonable functions based on single-pixel detection. - Pidong Wang; Feiliang Chen; Dong Li; Song Sun; Feng Huang; Taiping Zhang; Qian Li; Kun Chen; Yongbiao Wan; Xiao Leng; Yao Yao (CoRR, 2021)

Siamese pyramid residual module with local binary convolution network for single object tracking. - Yan Nie; Taiping Zhang; Linchang Zhao; Xindi Ma; Yuanyan Tang; Xiaoyu Liu (Int. J. Wavelets Multiresolution Inf. Process., 2021)

A robust image representation method against illumination and occlusion variations. - Jin Tan; Taiping Zhang; Linchang Zhao; Xiaoliu Luo; Yuan Yan Tang (Image Vis. Comput., 2021)

DCKN: Multi-focus image fusion via dynamic convolutional kernel network. - Zhao Duan; Taiping Zhang; Xiaoliu Luo; Jin Tan (Signal Process., 2021)

Multi-focus image fusion with Geometrical Sparse Representation. - Jin Tan; Taiping Zhang; Linchang Zhao; Xiaoliu Luo; Yuan Yan Tang (Signal Process. Image Commun., 2021)

Pseudo-Interacting Guided Network for Few-Shot Segmentation. - Xiaoliu Luo; Jing Luo; Zhao Duan; Jin Tan; Taiping Zhang (ICASSP, 2022)

A Novel GAN based on Progressive Growing Transformer with Capsule Embedding. - Xinqi Jiang; Taiping Zhang; Yu Xiao; Tao Qiu; Qi Yang (SMC, 2022)

Double Feature Pyramid Networks for Classification and Localization on Object Detection. - Qi Yang; Taiping Zhang; Tao Qiu; Yu Xiao; Xinqi Jiang (SMC, 2022)

Efficient residual attention network for single image super-resolution. - Fangwei Hao; Taiping Zhang; Linchang Zhao; Yuanyan Tang (Appl. Intell., 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)

Spatial Similarity Guidance for Few-Shot Segmentation. - Xiaoliu Luo; Zhao Duan; Taiping Zhang (ICASSP, 2023)

Multi-focus image fusion via gradient guidance progressive network. - Zhao Duan; Xiaoliu Luo; Taiping Zhang (ICME, 2023)

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)

MTSN: Multiscale Temporal Similarity Network for Temporal Action Localization. - Xiaodong Jin; Taiping Zhang (ACM Multimedia, 2023)

Target-Aware Bi-Transformer for Few-Shot Segmentation. - Xianglin Wang; Xiaoliu Luo; Taiping Zhang (PRCV (2), 2023)

Semantic Segmentation Based on Vision Transformer via Interactive Attention. - Tao Qiu; Yu Xiao; Qi Yang; Xinqi Jiang; Taiping Zhang (SMC, 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)

Intermediate prototype network for few-shot segmentation. - Xiaoliu Luo; Zhao Duan; Taiping Zhang (Signal Process., 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)

Construction and evaluation of networks among multiple postoperative complications. - Yubing Shen; Luwen Zhang; Peng Wu; Yuguang Huang; Shijie Xin; Qiang Zhang; Shengxiu Zhao; Hong Sun; Guanghua Lei; Taiping Zhang; Wei Han; Zixing Wang; et al. (Comput. Methods Programs Biomed., 2023)

Low-light image enhancement with geometrical sparse representation. - Jin Tan; Taiping Zhang; Linchang Zhao; Darong Huang; Zhenyuan Zhang (Appl. Intell., 2023)

Multi-focus image fusion using structure-guided flow. - Zhao Duan; Xiaoliu Luo; Taiping Zhang (Image Vis. Comput., 2023)

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation. - Yuheng Xu; Taiping Zhang (CoRR, 2024)

From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation. - Yuheng Xu; Taiping Zhang (CoRR, 2024)

Combining transformers with CNN for multi-focus image fusion. - Zhao Duan; Xiaoliu Luo; Taiping Zhang (Expert Syst. Appl., 2024)

PFENet++: Boosting Few-Shot Semantic Segmentation With the Noise-Filtered Context-Aware Prior Mask. - Xiaoliu Luo; Zhuotao Tian; Taiping Zhang; Bei Yu 001; Yuan Yan Tang; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Combining hierarchical sparse representation with adaptive prompt for few-shot segmentation. - Xiaoliu Luo; Ting Xie; Weisen Qin; Zhao Duan; Jin Tan; Taiping Zhang (Expert Syst. Appl., 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)

Layer-Wise Mutual Information Meta-Learning Network for Few-Shot Segmentation. - Xiaoliu Luo; Zhao Duan; Anyong Qin; Zhuotao Tian; Ting Xie; Taiping Zhang; Yuan Yan Tang (IEEE Trans. Neural Networks Learn. Syst., 2025)