Yishu Peng

According to our database, Yishu Peng authored at least 30 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Frequency-domain diffusion adaptation over networks with missing input data.

Yishu Peng, Sheng Zhang, Zhengchun Zhou

Signal Process., 2025

2024

Diffusion Moving-Average Adaptation Over Networks.

Yishu Peng, Sheng Zhang, Zhengchun Zhou, Hongyang Chen, Ali H. Sayed

IEEE Trans. Signal Process., 2024

2023

Diffusion Partitioned-Block Frequency-Domain Adaptive Filter Over Multitask Networks.

Hongyu Han, Yishu Peng, Fenglian Zhang, Dinh Cong Le, Sheng Zhang

IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

Frequency Domain Joint-Normalized Stochastic Gradient Projection-Based Algorithm for Widely Linear Quaternion-Valued Adaptive Filtering.

Sheng Zhang, Yishu Peng, Hengchao Li, Yili Xia, Wei Xing Zheng

IEEE Trans. Signal Process., 2023

Frequency-Domain Diffusion Bias-Compensated Adaptation With Periodic Communication.

Yishu Peng, Sheng Zhang, Hongyang Chen, Zhengchun Zhou, Xiaohu Tang

IEEE Trans. Signal Inf. Process. over Networks, 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

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

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

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

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

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

Combined-Sample Multiband-Structured Subband Filtering Algorithms.

Yishu Peng, Sheng Zhang, Jiashu Zhang, Wei Xing Zheng

IEEE ACM Trans. Audio Speech Lang. Process., 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

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

Full Mean-Square Analysis of Affine Combination of Two Complex-Valued LMS Filters for Second-Order Non-Circular Inputs.

Yishu Peng, Sheng Zhang, Zhengchun Zhou, Yili Xia

IEEE Signal Process. Lett., 2022

Adaptive Combination of Two Multi-Sample Multiband-Structured Subband Adaptive Filters.

Yishu Peng, Sheng Zhang, Wei Xing Zheng

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

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

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

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

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

Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification.

Bing Tu, Chengle Zhou, Xiaolong Liao, Zhi Xu, Yishu Peng, Xianfeng Ou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

Elastic net regularized kernel non-negative matrix factorization algorithm for clustering guided image representation.

Wenjie Zhu, Yishu Peng

Appl. Soft Comput., 2020

2019

Topological structure regularized nonnegative matrix factorization for image clustering.

Wenjie Zhu, Yunhui Yan, Yishu Peng

Neural Comput. Appl., 2019

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

Steel Surface Defect Classification Based on Discriminant Manifold Regularized Local Descriptor.

Jiuliang Zhao, Yishu Peng, Yunhui Yan

IEEE Access, 2018

2017

Pair of projections based on sparse consistence with applications to efficient face recognition.

Wenjie Zhu, Yunhui Yan, Yishu Peng

Signal Process. Image Commun., 2017

2016

Dictionary learning based on discriminative energy contribution for image classification.

Wenjie Zhu, Yunhui Yan, Yishu Peng

Knowl. Based Syst., 2016

2014

Vehicle classification using sparse coding and spatial pyramid matching.

Yishu Peng, Yunhui Yan, Wenjie Zhu, Jiuliang Zhao

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Hyperspectral Image Classification Using Local Collaborative Representation.

Yishu Peng, Yunhui Yan, Wenjie Zhu, Jiuliang Zhao

Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014