Hyperspectral Image Classification Using Local Collaborative Representation. - Yishu Peng; Yunhui Yan; Wenjie Zhu 002; Jiuliang Zhao (CCPR (1), 2014)

Vehicle classification using sparse coding and spatial pyramid matching. - Yishu Peng; Yunhui Yan; Wenjie Zhu 002; Jiuliang Zhao (ITSC, 2014)

Dictionary learning based on discriminative energy contribution for image classification. - Wenjie Zhu 002; Yunhui Yan; Yishu Peng (Knowl. Based Syst., 2016)

Pair of projections based on sparse consistence with applications to efficient face recognition. - Wenjie Zhu 002; Yunhui Yan; Yishu Peng (Signal Process. Image Commun., 2017)

Steel Surface Defect Classification Based on Discriminant Manifold Regularized Local Descriptor. - Jiuliang Zhao; Yishu Peng; Yunhui Yan (IEEE Access, 2018)

An overview of face-related technologies. - Hongyan Fei; Bing Tu; Ququ Chen; Danbing He; Chengle Zhou; Yishu Peng (J. Vis. Commun. Image Represent., 2018)

Topological structure regularized nonnegative matrix factorization for image clustering. - Wenjie Zhu 002; Yunhui Yan; Yishu Peng (Neural Comput. Appl., 2019)

Elastic net regularized kernel non-negative matrix factorization algorithm for clustering guided image representation. - Wenjie Zhu 002; Yishu Peng (Appl. Soft Comput., 2020)

Robust Learning of Mislabeled Training Samples for Remote Sensing Image Scene Classification. - Bing Tu; Wenlan Kuang; Wangquan He; Guoyun Zhang; Yishu Peng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification. - Bing Tu; Chengle Zhou; Xiaolong Liao; Zhi Xu 005; Yishu Peng; Xianfeng Ou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Hyperspectral Anomaly Detection Via Dual Collaborative Representation. - Guoyun Zhang; Nanying Li; Bing Tu; Zhuolang Liao; Yishu Peng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Spectral-Spatial Hyperspectral Classification via Structural-Kernel Collaborative Representation. - Bing Tu; Chengle Zhou; Xiaolong Liao; Guoyun Zhang; Yishu Peng (IEEE Geosci. Remote. Sens. Lett., 2021)

Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification. - Bing Tu; Chengle Zhou; Xiaolong Liao; Qianming Li; Yishu Peng (IEEE Trans. Geosci. Remote. Sens., 2021)

Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification. - Bing Tu; Chengle Zhou; Jin Peng; Guoyun Zhang; Yishu Peng (IEEE Trans. Instrum. Meas., 2021)

Adaptive Combination of Two Multi-Sample Multiband-Structured Subband Adaptive Filters. - Yishu Peng; Sheng Zhang 006; Wei Xing Zheng 001 (ISCAS, 2022)

Full Mean-Square Analysis of Affine Combination of Two Complex-Valued LMS Filters for Second-Order Non-Circular Inputs. - Yishu Peng; Sheng Zhang 006; Zhengchun Zhou; Yili Xia (IEEE Signal Process. Lett., 2022)

Multiview Hierarchical Network for Hyperspectral and LiDAR Data Classification. - Yishu Peng; Yuwen Zhang; Bing Tu; Chengle Zhou; Qianming Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Multiscale Adaptive Convolution for Hyperspectral Image Classification. - Qi Ren; Bing Tu; Qianming Li; Wangquan He; Yishu Peng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Combined-Sample Multiband-Structured Subband Filtering Algorithms. - Yishu Peng; Sheng Zhang 006; Jiashu Zhang; Wei Xing Zheng 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Spatial-Spectral Transformer With Cross-Attention for Hyperspectral Image Classification. - Yishu Peng; Yuwen Zhang; Bing Tu; Qianming Li; Wujing Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Local Semantic Feature Aggregation-Based Transformer for Hyperspectral Image Classification. - Bing Tu; Xiaolong Liao; Qianming Li; Yishu Peng; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2022)

Fully Convolutional Network-Based Nonlocal-Dependent Learning for Hyperspectral Image Classification. - Bing Tu; Wangquan He; Qianming Li; Yishu Peng; Siyuan Chen (IEEE Trans. Instrum. Meas., 2022)

Convolutional Transformer-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification. - Yishu Peng; Yaru Liu; Bing Tu; Yuwen Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Local Information Interaction Transformer for Hyperspectral and LiDAR Data Classification. - Yuwen Zhang; Yishu Peng; Bing Tu; Yaru Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

A New Context-Aware Framework for Defending Against Adversarial Attacks in Hyperspectral Image Classification. - Bing Tu; Wangquan He; Qianming Li; Yishu Peng; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

Frequency-Domain Diffusion Bias-Compensated Adaptation With Periodic Communication. - Yishu Peng; Sheng Zhang 006; Hongyang Chen; Zhengchun Zhou; Xiaohu Tang (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Frequency Domain Joint-Normalized Stochastic Gradient Projection-Based Algorithm for Widely Linear Quaternion-Valued Adaptive Filtering. - Sheng Zhang 006; Yishu Peng; Hengchao Li 001; Yili Xia; Wei Xing Zheng 001 (IEEE Trans. Signal Process., 2023)

Diffusion Partitioned-Block Frequency-Domain Adaptive Filter Over Multitask Networks. - Hongyu Han; Yishu Peng; Fenglian Zhang; Dinh Cong Le; Sheng Zhang 006 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Diffusion Moving-Average Adaptation Over Networks. - Yishu Peng; Sheng Zhang 006; Zhengchun Zhou; Hongyang Chen; Ali H. Sayed (IEEE Trans. Signal Process., 2024)

Frequency-domain diffusion adaptation over networks with missing input data. - Yishu Peng; Sheng Zhang 006; Zhengchun Zhou (Signal Process., 2025)