Jiangshe Zhang
Orcid: 0000-0002-8395-1180Affiliations:
- Xi'an Jiaotong University, School of Mathematics and Statistics, China
According to our database1,
Jiangshe Zhang
authored at least 177 papers
between 1997 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
An information-theoretic learning model based on importance sampling with application in face verification.
Pattern Recognit. Lett., 2025
CoFM: Alternating convolution and frequency module is also strong for visual recognition.
Neurocomputing, 2025
2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks.
Int. J. Mach. Learn. Cybern., November, 2024
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Information Theoretical Importance Sampling Clustering and Its Relationship With Fuzzy C-Means.
IEEE Trans. Fuzzy Syst., April, 2024
Int. J. Wavelets Multiresolution Inf. Process., March, 2024
A deep learning-based Monte Carlo simulation scheme for stochastic differential equations driven by fractional Brownian motion.
Neurocomputing, March, 2024
Attention-based deformable convolutional network for Chinese various dynasties character recognition.
Expert Syst. Appl., March, 2024
Convolutional neural network incorporating misclassification information for image recognition.
Soft Comput., January, 2024
Seismic Data Interpolation via Denoising Diffusion Implicit Models With Coherence-Corrected Resampling.
IEEE Trans. Geosci. Remote. Sens., 2024
UPNet: Uncertainty-Based Picking Deep Learning Network for Robust First Break Picking.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
NCLDR: Nearest-Neighbor Contrastive Learning with Dual Correlation Loss for Dimensionality Reduction.
Neurocomputing, 2024
A two-stage spatial prediction modeling approach based on graph neural networks and neural processes.
Expert Syst. Appl., 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
MBIAN: Multi-level bilateral interactive attention network for multi-modal image processing.
Expert Syst. Appl., November, 2023
Appl. Intell., October, 2023
A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty.
Comput. Geosci., September, 2023
Multi-agent deep reinforcement learning algorithm with trend consistency regularization for portfolio management.
Neural Comput. Appl., March, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Remote. Sens., 2023
Neural Process. Lett., 2023
Hybrid Shot2Shot and Re-De-Noising Regularization for Random Noise Attenuation of Seismic Data.
IEEE Geosci. Remote. Sens. Lett., 2023
Consecutively Missing Seismic Data Reconstruction Via Wavelet-Based Swin Residual Network.
IEEE Geosci. Remote. Sens. Lett., 2023
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2022
Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation Network.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation.
Signal Process. Image Commun., 2022
Hyperspectral image denoising by low-rank models with hyper-Laplacian total variation prior.
Signal Process., 2022
A Novel Data Augmentation Method for Chinese Character Spatial Structure Recognition by Normalized Deformable Convolutional Networks.
Neural Process. Lett., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Forecasting stock volatility and value-at-risk based on temporal convolutional networks.
Expert Syst. Appl., 2022
Digit. Signal Process., 2022
MSSPN: Automatic First Arrival Picking using Multi-Stage Segmentation Picking Network.
CoRR, 2022
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion.
CoRR, 2022
Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation Network.
CoRR, 2022
Semi-supervised nonnegative matrix factorization with positive and negative label propagations.
Appl. Intell., 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
DRCNN: Dynamic Routing Convolutional Neural Network for Multi-View 3D Object Recognition.
IEEE Trans. Image Process., 2021
IEEE Trans. Geosci. Remote. Sens., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Signal Process. Image Commun., 2021
Neurocomputing, 2021
Deep Convolutional Sparse Coding Network For Pansharpening With Guidance Of Side Information.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Geosci. Remote. Sens., 2020
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss.
IEEE Trans. Geosci. Remote. Sens., 2020
Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy.
IEEE Trans. Computational Imaging, 2020
Remote. Sens., 2020
Neural Process. Lett., 2020
Neural Networks, 2020
Multim. Tools Appl., 2020
Int. J. Mach. Learn. Cybern., 2020
Penetrating the influence of regularizations on neural network based on information bottleneck theory.
Neurocomputing, 2020
Neurocomputing, 2020
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method.
CoRR, 2020
Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling.
CoRR, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019
Enhance the Performance of Deep Neural Networks via L2 Regularization on the Input of Activations.
Neural Process. Lett., 2019
Neural Process. Lett., 2019
Neural Comput. Appl., 2019
Multim. Tools Appl., 2019
IEEE Geosci. Remote. Sens. Lett., 2019
Knowl. Based Syst., 2019
The Phase and Shift-Invariant Feature by Adaptive Independent Subspace Analysis for Cortical Complex Cells.
Inf. Technol. Control., 2019
Expert Syst. Appl., 2019
A novel variational Bayesian method for variable selection in logistic regression models.
Comput. Stat. Data Anal., 2019
Learning Controllable Disentangled Representations with Decorrelation Regularization.
CoRR, 2019
IEEE Access, 2019
2018
A Deep Neural Network Based on ELM for Semi-supervised Learning of Image Classification.
Neural Process. Lett., 2018
Lp-WGAN: Using Lp-norm normalization to stabilize Wasserstein generative adversarial networks.
Knowl. Based Syst., 2018
Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models.
Knowl. Based Syst., 2018
Symmetric low-rank representation with adaptive distance penalty for semi-supervised learning.
Neurocomputing, 2018
Neurocomputing, 2018
An effective hierarchical extreme learning machine based multimodal fusion framework.
Neurocomputing, 2018
Graph Regularized Nonnegative Matrix Factorization with Sample Diversity for Image Representation.
Eng. Appl. Artif. Intell., 2018
Appl. Intell., 2018
2017
Knowl. Based Syst., 2017
Knowl. Based Syst., 2017
Knowl. Based Syst., 2017
J. Vis. Commun. Image Represent., 2017
Neurocomputing, 2017
Neurocomputing, 2017
A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer.
Neurocomputing, 2017
Ann. Math. Artif. Intell., 2017
2016
Signal Image Video Process., 2016
On size invariance texture image retrieval by fuzzy logic classifier and scattering statistical features.
Pattern Anal. Appl., 2016
J. Electronic Imaging, 2016
A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons.
Neurocomputing, 2016
Comput. Stat., 2016
2015
Singular Value Decomposition Projection for solving the small sample size problem in face recognition.
J. Vis. Commun. Image Represent., 2015
Learning latent features by nonnegative matrix factorization combining similarity judgments.
Neurocomputing, 2015
Enhancing performance of the backpropagation algorithm via sparse response regularization.
Neurocomputing, 2015
A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015
2014
IEEE Trans. Image Process., 2014
Pattern Recognit. Lett., 2014
Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations.
Pattern Recognit. Lett., 2014
Pattern Recognit., 2014
Knowl. Based Syst., 2014
IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree.
Commun. Stat. Simul. Comput., 2014
Parallel tempering with equi-energy moves for training of restricted boltzmann machines.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2012
A New Maximum Simplex Volume Method Based on Householder Transformation for Endmember Extraction.
IEEE Trans. Geosci. Remote. Sens., 2012
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
Neurocomputing, 2012
2011
Large margin based nonnegative matrix factorization and partial least squares regression for face recognition.
Pattern Recognit. Lett., 2011
Neurocomputing, 2011
A nonparametric circular-linear multivariate regression model with a rule-of-thumb bandwidth selector.
Comput. Math. Appl., 2011
2010
Pattern Anal. Appl., 2010
Int. J. Artif. Intell. Tools, 2010
Commun. Stat. Simul. Comput., 2010
2009
Neural Comput. Appl., 2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
2008
Pattern Recognit. Lett., 2008
Math. Comput. Model., 2008
Comput. Stat. Data Anal., 2008
Sci. China Ser. F Inf. Sci., 2008
Appl. Math. Comput., 2008
Proceedings of the Technologies for E-Learning and Digital Entertainment, 2008
2007
Pattern Recognit. Lett., 2007
Eur. J. Oper. Res., 2007
An empirical study of a test for polynomial relationships in randomly right censored regression models.
Comput. Stat. Data Anal., 2007
Appl. Math. Comput., 2007
Appl. Math. Comput., 2007
2005
Comput. Optim. Appl., 2005
Comput. Optim. Appl., 2005
Proceedings of the Advances in Machine Learning and Cybernetics, 2005
2004
2003
2001
A new data processing method based on a biological model of the compound eye: direction quantization representation.
IEEE Trans. Syst. Man Cybern. Part A, 2001
2000
1998
IEEE Trans. Syst. Man Cybern. Part B, 1998
Appl. Math. Comput., 1998
1997