Jiangshe Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 102

Top Venues

CoRR

Neurocomputing

IEEE Trans. Geosci. Remote. Sens.

Neural Process. Lett.

Publications

Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool
Image Fusion via Vision-Language Model. CoRR (2024)
Haowen Bai, Zixiang Zhao, Jiangshe Zhang, Yukun Cui, Chunxia Zhang, Zhenbo Guo, Yongjun Wang
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Jiangshe Zhang, Lizhen Ji, Meng Wang
Information Theoretical Importance Sampling Clustering and Its Relationship With Fuzzy C-Means. IEEE Trans. Fuzzy Syst. 32 (4) (2024)
Hongtao Wang, Li Long, Jiangshe Zhang, Xiaoli Wei, Chunxia Zhang, Zhenbo Guo
Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning. CoRR (2024)
Chengli Tan, Jiangshe Zhang, Junmin Liu, Yicheng Wang, Yunda Hao
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy. CoRR (2024)
Junying Hu, Peiju Chang, Fang Du, Rongrong Fei, Kai Sun, Jiangshe Zhang, Hai Zhang
Back-propagating errors through artificial neural networks for variable selection. Int. J. Wavelets Multiresolution Inf. Process. 22 (2) (2024)
Fei Gao, Cornelis W. Oosterlee, Jiangshe Zhang
A deep learning-based Monte Carlo simulation scheme for stochastic differential equations driven by fractional Brownian motion. Neurocomputing 574 (2024)
Junying Hu, Rongrong Fei, Fang Du, Peiju Chang, Jiangshe Zhang
Convolutional neural network incorporating misclassification information for image recognition. Soft Comput. 28 (2) (2024)
Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. ICCV (2023)
Fei Gao, Jiangshe Zhang, Chunxia Zhang, Shuang Xu, Cong Ma
Long Short-Term Memory Networks with Multiple Variables for Stock Market Prediction. Neural Process. Lett. 55 (4) (2023)
Kai Sun, Jiangshe Zhang, Junmin Liu, Shuang Xu, Xiangyong Cao, Rongrong Fei
Modified Dynamic Routing Convolutional Neural Network for Pan-Sharpening. Remote. Sens. 15 (11) (2023)
Changpeng Wang, Linlin Feng, Lijuan Yang, Tianjun Wu, Jiangshe Zhang
Dimensionality reduction by t-Distribution adaptive manifold embedding. Appl. Intell. 53 (20) (2023)
Kai Sun, Jiangshe Zhang, Jialin Wang, Shuang Xu, Chunxia Zhang, Junying Hu
MBIAN: Multi-level bilateral interactive attention network for multi-modal image processing. Expert Syst. Appl. 231 (2023)
Haowen Bai, Zixiang Zhao, Jiangshe Zhang, Yichen Wu, Lilun Deng, Yukun Cui, Shuang Xu, Baisong Jiang
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning. CoRR (2023)
Jiangshe Zhang, Lizhen Ji, Fei Gao, Mengyao Li
A data variation robust learning model based on importance sampling. CoRR (2023)
Hongtao Wang, Jiangshe Zhang, Xiaoli Wei, Li Long, Chunxia Zhang
Leveraging Uncertainty Quantification for Picking Robust First Break Times. CoRR (2023)
Jiangshe Zhang, Lizhen Ji, Meng Wang
Importance Sampling Deterministic Annealing for Clustering. CoRR (2023)
Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CVPR (2023)
Cong Ma, Jiangshe Zhang, Zongxin Li, Shuang Xu
Multi-agent deep reinforcement learning algorithm with trend consistency regularization for portfolio management. Neural Comput. Appl. 35 (9) (2023)
Pei Liu, Anguo Dong, Changpeng Wang, Chunxia Zhang, Jiangshe Zhang
Consecutively Missing Seismic Data Reconstruction Via Wavelet-Based Swin Residual Network. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Aoqi Song, Changpeng Wang, Chunxia Zhang, Jiangshe Zhang, Xiong Deng, Xiao-Li Wei
Regeneration-Constrained Self-Supervised Seismic Data Interpolation. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. CoRR (2023)
Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool
Equivariant Multi-Modality Image Fusion. CoRR (2023)
Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. ICCV (2023)
Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. CoRR (2023)
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Zudi Lin, Hanspeter Pfister
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. CVPR (2022)
Sheng Zhuo, Jiangshe Zhang, Chunxia Zhang
A Novel Data Augmentation Method for Chinese Character Spatial Structure Recognition by Normalized Deformable Convolutional Networks. Neural Process. Lett. 54 (6) (2022)
Hongtao Wang, Jiangshe Zhang, Xiaoli Wei, Chunxia Zhang, Zhenbo Guo, Li Long, Yicheng Wang
MSSPN: Automatic First Arrival Picking using Multi-Stage Segmentation Picking Network. CoRR (2022)
Chengli Tan, Jiangshe Zhang, Junmin Liu
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion. CoRR (2022)
Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
Toward a Controllable Disentanglement Network. IEEE Trans. Cybern. 52 (4) (2022)
Changpeng Wang, Li Geng, Jiangshe Zhang, Tianjun Wu
Multi-view clustering via robust consistent graph learning. Digit. Signal Process. 128 (2022)
Shuang Xu, Jiangshe Zhang, Chunxia Zhang
Hyperspectral image denoising by low-rank models with hyper-Laplacian total variation prior. Signal Process. 201 (2022)
Hongtao Wang, Jiangshe Zhang, Zixiang Zhao, Chunxia Zhang, Long Li, Zhiyu Yang, Weifeng Geng
Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation Network. CoRR (2022)
Shuang Xu, Jiangshe Zhang, Jialin Wang, Kai Sun, Chunxia Zhang, Junmin Liu, Junying Hu
A model-driven network for guided image denoising. Inf. Fusion 85 (2022)
Zixiang Zhao, Shuang Xu, Jiangshe Zhang, Chengyang Liang, Chunxia Zhang, Junmin Liu
Efficient and Model-Based Infrared and Visible Image Fusion via Algorithm Unrolling. IEEE Trans. Circuits Syst. Video Technol. 32 (3) (2022)
Huirong Li, Yuelin Gao, Junmin Liu, Jiangshe Zhang, Chao Li
Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation. Signal Process. Image Commun. 102 (2022)
Xiao-Li Wei, Chunxia Zhang, Hongtao Wang, Zixiang Zhao, Xiong Deng, Shuang Xu, Jiangshe Zhang, Sang-Woon Kim
Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Hongtao Wang, Jiangshe Zhang, Zixiang Zhao, Chunxia Zhang, Li Long, Zhiyu Yang, Weifeng Geng
Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation Network. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CoRR (2022)
Hongtao Wang, Jiangshe Zhang, Chunxia Zhang, Zixiang Zhao, Chengli Tan, Zhiyu Yang, Weifeng Geng
Automatic Velocity Picking Using Unsupervised Ensemble Learning. CoRR (2022)
Changpeng Wang, Jiangshe Zhang, Tianjun Wu, Meng Zhang, Guang Shi
Semi-supervised nonnegative matrix factorization with positive and negative label propagations. Appl. Intell. 52 (9) (2022)
Kai Sun, Jiangshe Zhang, Junmin Liu, Ruixuan Yu, Zengjie Song
DRCNN: Dynamic Routing Convolutional Neural Network for Multi-View 3D Object Recognition. IEEE Trans. Image Process. 30 (2021)
Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang
Deep Gradient Projection Networks for Pan-sharpening. CVPR (2021)
Cong Ma, Jiangshe Zhang, Junmin Liu, Lizhen Ji, Fei Gao
A parallel multi-module deep reinforcement learning algorithm for stock trading. Neurocomputing 449 (2021)
Chengli Tan, Jiangshe Zhang, Junmin Liu
Understanding Long Range Memory Effects in Deep Neural Networks. CoRR (2021)
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Chun-Xia Zhang, Junmin Liu
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. CoRR (2021)
Junmin Liu, Changsheng Zhou, Rongrong Fei, Chunxia Zhang, Jiangshe Zhang
Pansharpening Via Neighbor Embedding of Spatial Details. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang
Deep Gradient Projection Networks for Pan-sharpening. CoRR (2021)
Lizhen Ji, Jiangshe Zhang, Chunxia Zhang, Cong Ma, Shuang Xu, Kai Sun
CondenseNet with exclusive lasso regularization. Neural Comput. Appl. 33 (23) (2021)
Shuang Xu, Jiangshe Zhang, Kai Sun, Zixiang Zhao, Lu Huang, Junmin Liu, Chunxia Zhang
Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information. CoRR (2021)
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang
FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter. ICME (2021)
Shuang Xu, Jiangshe Zhang, Kai Sun, Zixiang Zhao, Lu Huang, Junmin Liu, Chunxia Zhang
Deep Convolutional Sparse Coding Network For Pansharpening With Guidance Of Side Information. ICME (2021)
Yicheng Wang, Shuang Xu, Junmin Liu, Zixiang Zhao, Chunxia Zhang, Jiangshe Zhang
MFIF-GAN: A new generative adversarial network for multi-focus image fusion. Signal Process. Image Commun. 96 (2021)
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang
FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter. CoRR (2021)
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
Bayesian Fusion for Infrared and Visible Images. CoRR (2020)
Zixiang Zhao, Shuang Xu, Rui Feng, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method. CoRR (2020)
Shuang Xu, Ouafa Amira, Junmin Liu, Chun-Xia Zhang, Jiangshe Zhang, Guanghai Li
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss. IEEE Trans. Geosci. Remote. Sens. 58 (7) (2020)
Chengyang Liang, Zixiang Zhao, Junmin Liu, Jiangshe Zhang
Domain Adaptive Object Detection via Feature Separation and Alignment. CoRR (2020)
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling. CoRR (2020)
Shuang Xu, Zixiang Zhao, Yicheng Wang, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
Deep Convolutional Sparse Coding Networks for Image Fusion. CoRR (2020)
Guang Shi, Jiangshe Zhang, Chunxia Zhang, Junying Hu
A distributed parallel training method of deep belief networks. Soft Comput. 24 (17) (2020)
Jiangshe Zhang, Junying Hu, Junmin Liu
Neural network with multiple connection weights. Pattern Recognit. 107 (2020)
Shuang Xu, Xiaoli Wei, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
MFFW: A new dataset for multi-focus image fusion. CoRR (2020)
Cong Ma, Zhizhong Li, Dahua Lin, Jiangshe Zhang
Parallel Multi-Environment Shaping Algorithm for Complex Multi-step Task. Neurocomputing 402 (2020)
Shuang Xu, Lizhen Ji, Zhe Wang, Pengfei Li, Kai Sun, Chunxia Zhang, Jiangshe Zhang
Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy. IEEE Trans. Computational Imaging 6 (2020)
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. IJCAI (2020)
Shuang Xu, Chunxia Zhang, Jiangshe Zhang
Adaptive quantile low-rank matrix factorization. Pattern Recognit. 103 (2020)
Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
Towards A Controllable Disentanglement Network. CoRR (2020)
Ouafa Amira, Shuang Xu, Fang Du, Jiangshe Zhang, Chunxia Zhang, Rafik Hamza
Weighted-capsule routing via a fuzzy gaussian model. Pattern Recognit. Lett. 138 (2020)
Peiju Chang, Jiangshe Zhang, Jinyan Wang, Rongrong Fei
ELMAENet: A Simple, Effective and Fast Deep Architecture for Image Classification. Neural Process. Lett. 51 (1) (2020)
Jiangshe Zhang, Cong Ma, Junmin Liu, Guang Shi
Penetrating the influence of regularizations on neural network based on information bottleneck theory. Neurocomputing 393 (2020)
Xingfang Huang, Shuang Xu, Chunxia Zhang, Jiangshe Zhang
Robust CP Tensor Factorization With Skew Noise. IEEE Signal Process. Lett. 27 (2020)
Changsheng Zhou, Jiangshe Zhang, Junmin Liu, Chunxia Zhang, Rongrong Fei, Shuang Xu
PercepPan: Towards Unsupervised Pan-Sharpening Based on Perceptual Loss. Remote. Sens. 12 (14) (2020)
Shuang Xu, Chunxia Zhang, Pei Wang, Jiangshe Zhang
Variational Bayesian weighted complex network reconstruction. Inf. Sci. 521 (2020)
Shuang Xu, Chunxia Zhang, Jiangshe Zhang
Bayesian deep matrix factorization network for multiple images denoising. Neural Networks 123 (2020)
Changsheng Zhou, Jiangshe Zhang, Junmin Liu, Chunxia Zhang, Guang Shi, Junying Hu
Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 58 (11) (2020)
Changpeng Wang, Jiangshe Zhang, Xueli Song, Tianjun Wu
Face clustering via learning a sparsity preserving low-rank graph. Multim. Tools Appl. 79 (39-40) (2020)
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Pengfei Li, Jiangshe Zhang
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. CoRR (2020)
Yicheng Wang, Shuang Xu, Junmin Liu, Zixiang Zhao, Chunxia Zhang, Jiangshe Zhang
MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion. CoRR (2020)
Shuang Xu, Lizhen Ji, Zhe Wang, Pengfei Li, Kai Sun, Chunxia Zhang, Jiangshe Zhang
Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy. CoRR (2020)
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
Bayesian fusion for infrared and visible images. Signal Process. 177 (2020)
Fang Du, Jiangshe Zhang, Junying Hu, Rongrong Fei
Discriminative multi-modal deep generative models. Knowl. Based Syst. 173 (2019)
Qiao Ke, Jiangshe Zhang, Wei Wei, Dawid Polap, Marcin Wozniak, Leon Kosmider, Robertas Damasevicius
A neuro-heuristic approach for recognition of lung diseases from X-ray images. Expert Syst. Appl. 126 (2019)
Kai Sun, Jiangshe Zhang, Hongwei Yong, Junmin Liu
FPCANet: Fisher discrimination for Principal Component Analysis Network. Knowl. Based Syst. 166 (2019)
Guang Shi, Jiangshe Zhang, Nannan Ji, Changpeng Wang
A new variant of restricted Boltzmann machine with horizontal connections. Neural Comput. Appl. 31 (10) (2019)
Zengjie Song, Jiangshe Zhang, Guang Shi, Junmin Liu
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Guang Shi, Jiangshe Zhang, Huirong Li, Changpeng Wang
Enhance the Performance of Deep Neural Networks via L2 Regularization on the Input of Activations. Neural Process. Lett. 50 (1) (2019)
Qiao Ke, Jiangshe Zhang, Marcin Wozniak, Wei Wei
The Phase and Shift-Invariant Feature by Adaptive Independent Subspace Analysis for Cortical Complex Cells. Inf. Technol. Control. 48 (1) (2019)
Qiao Ke, Jiangshe Zhang, Wei Wei, Robertas Damasevicius, Marcin Wozniak
Adaptive Independent Subspace Analysis of Brain Magnetic Resonance Imaging Data. IEEE Access 7 (2019)
Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
Learning Controllable Disentangled Representations with Decorrelation Regularization. CoRR (2019)
Changpeng Wang, Jiangshe Zhang, Guang Shi
Discriminative low-rank representation with Schatten-p norm for image recognition. Multim. Tools Appl. 78 (16) (2019)
Fang Du, Jiangshe Zhang, Nannan Ji, Junying Hu, Chunxia Zhang
Discriminative Representation Learning with Supervised Auto-encoder. Neural Process. Lett. 49 (2) (2019)
Junmin Liu, Jing Ma, Rongrong Fei, Huirong Li, Jiangshe Zhang
Enhanced Back-Projection as Postprocessing for Pansharpening. Remote. Sens. 11 (6) (2019)
Rongrong Fei, Jiangshe Zhang, Junmin Liu, Fang Du, Peiju Chang, Junying Hu
Convolutional Sparse Representation of Injected Details for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 16 (10) (2019)
Fang Du, Jiangshe Zhang, Nannan Ji, Guang Shi, Chunxia Zhang
An effective hierarchical extreme learning machine based multimodal fusion framework. Neurocomputing 322 (2018)
Changsheng Zhou, Jiangshe Zhang, Junmin Liu
Lp-WGAN: Using Lp-norm normalization to stabilize Wasserstein generative adversarial networks. Knowl. Based Syst. 161 (2018)
Peiju Chang, Jiangshe Zhang, Junying Hu, Zengjie Song
A Deep Neural Network Based on ELM for Semi-supervised Learning of Image Classification. Neural Process. Lett. 48 (1) (2018)
Changpeng Wang, Xueli Song, Jiangshe Zhang
Graph Regularized Nonnegative Matrix Factorization with Sample Diversity for Image Representation. Eng. Appl. Artif. Intell. 68 (2018)
Changpeng Wang, Jiangshe Zhang, Fang Du, Guang Shi
Symmetric low-rank representation with adaptive distance penalty for semi-supervised learning. Neurocomputing 316 (2018)
Weifu Ding, Jiangshe Zhang
Robust visual tracking using information theoretical learning. Ann. Math. Artif. Intell. 80 (2) (2017)

Jiangshe Zhang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jiangshe Zhang