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Jiangshe Zhang 0001
Jiang-She Zhang 0001
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- affiliation: Xi'an Jiaotong University, School of Mathematics and Statistics, China
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2020 – today
- 2024
- [j136]Sheng Zhuo
, Jiangshe Zhang:
Attention-based deformable convolutional network for Chinese various dynasties character recognition. Expert Syst. Appl. 238(Part B): 121881 (2024) - [j135]Li-Li Bao
A two-stage spatial prediction modeling approach based on graph neural networks and neural processes. Expert Syst. Appl. 258: 125173 (2024) - [j134]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: 127245 (2024) - [j133]Linlin Feng, Changpeng Wang, Pei Liu, Kangjian Ge, Jiang-She Zhang
NCLDR: Nearest-Neighbor Contrastive Learning with Dual Correlation Loss for Dimensionality Reduction. Neurocomputing 594: 127848 (2024) - [j132]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): 2350046:1-2350046:25 (2024) - [j131]Li Long
Automatic Source Point Offset via REINFORCE Based on Transformer. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j130]Chengli Tan, Jiangshe Zhang, Junmin Liu, Zixiang Zhao:
Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks. Int. J. Mach. Learn. Cybern. 15(11): 5381-5394 (2024) - [j129]Li-Li Bao
Spatial multi-attention conditional neural processes. Neural Networks 173: 106201 (2024) - [j128]Junying Hu, Rongrong Fei, Fang Du, Peiju Chang, Jiangshe Zhang:
Convolutional neural network incorporating misclassification information for image recognition. Soft Comput. 28(2): 1009-1021 (2024) - [j127]Jiangshe Zhang
Information Theoretical Importance Sampling Clustering and Its Relationship With Fuzzy C-Means. IEEE Trans. Fuzzy Syst. 32(4): 2164-2175 (2024) - [j126]Haowen Bai
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j125]Hongtao Wang
UPNet: Uncertainty-Based Picking Deep Learning Network for Robust First Break Picking. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j124]Chengli Tan
Understanding Short-Range Memory Effects in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10576-10590 (2024) - [c16]Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool:
Equivariant Multi-Modality Image Fusion. CVPR 2024: 25912-25921 - [c15]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. ICML 2024 - [i34]Chengli Tan, Jiangshe Zhang, Junmin Liu, Yicheng Wang, Yunda Hao:
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy. CoRR abs/2401.07250 (2024) - [i33]Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin
Image Fusion via Vision-Language Model. CoRR abs/2402.02235 (2024) - [i32]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 abs/2404.08408 (2024) - [i31]Zengjie Song, Jiangshe Zhang, Yuxi Wang, Junsong Fan, Zhaoxiang Zhang:
Enhancing Sound Source Localization via False Negative Elimination. CoRR abs/2408.16448 (2024) - 2023
- [j123]Changpeng Wang
Dimensionality reduction by t-Distribution adaptive manifold embedding. Appl. Intell. 53(20): 23853-23863 (2023) - [j122]Kai Sun
MBIAN: Multi-level bilateral interactive attention network for multi-modal image processing. Expert Syst. Appl. 231: 120733 (2023) - [j121]Li-Li Bao
A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty. Comput. Geosci. 178: 105409 (2023) - [j120]Pei Liu
Consecutively Missing Seismic Data Reconstruction Via Wavelet-Based Swin Residual Network. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j119]Aoqi Song
Hybrid Shot2Shot and Re-De-Noising Regularization for Random Noise Attenuation of Seismic Data. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j118]Cong Ma
Multi-agent deep reinforcement learning algorithm with trend consistency regularization for portfolio management. Neural Comput. Appl. 35(9): 6589-6601 (2023) - [j117]Fei Gao
Long Short-Term Memory Networks with Multiple Variables for Stock Market Prediction. Neural Process. Lett. 55(4): 4211-4229 (2023) - [j116]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): 2869 (2023) - [j115]Aoqi Song
Regeneration-Constrained Self-Supervised Seismic Data Interpolation. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [c14]Zixiang Zhao, Jiang-She Zhang, Haowen Bai, Yicheng Wang, Yukun Cui, Lilun Deng, Kai Sun, Chunxia Zhang, Junmin Liu, Shuang Xu:
Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion. CVPR Workshops 2023: 2369-2377 - [c13]Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CVPR 2023: 5906-5916 - [c12]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: 8048-8059 - [c11]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: 12513-12524 - [i30]Jiangshe Zhang, Lizhen Ji, Meng Wang:
Importance Sampling Deterministic Annealing for Clustering. CoRR abs/2302.04421 (2023) - [i29]Jiangshe Zhang, Lizhen Ji, Fei Gao, Mengyao Li:
An information-theoretic learning model based on importance sampling. CoRR abs/2302.04438 (2023) - [i28]Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. CoRR abs/2303.06840 (2023) - [i27]Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. CoRR abs/2303.08942 (2023) - [i26]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 abs/2305.11443 (2023) - [i25]Hongtao Wang, Jiangshe Zhang, Xiaoli Wei, Li Long, Chunxia Zhang:
Leveraging Uncertainty Quantification for Picking Robust First Break Times. CoRR abs/2305.13799 (2023) - [i24]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 abs/2312.07943 (2023) - 2022
- [j114]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): 9739-9750 (2022) - [j113]Changpeng Wang, Li Geng, Jiangshe Zhang, Tianjun Wu:
Multi-view clustering via robust consistent graph learning. Digit. Signal Process. 128: 103607 (2022) - [j112]Chun-Xia Zhang
Forecasting stock volatility and value-at-risk based on temporal convolutional networks. Expert Syst. Appl. 207: 117951 (2022) - [j111]Shuang Xu
A model-driven network for guided image denoising. Inf. Fusion 85: 60-71 (2022) - [j110]Aoqi Song
Seismic Data Reconstruction via Recurrent Residual Multiscale Inference. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j109]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): 5545-5563 (2022) - [j108]Shuang Xu
Hyperspectral image denoising by low-rank models with hyper-Laplacian total variation prior. Signal Process. 201: 108733 (2022) - [j107]Huirong Li
Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation. Signal Process. Image Commun. 102: 116589 (2022) - [j106]Zixiang Zhao
Efficient and Model-Based Infrared and Visible Image Fusion via Algorithm Unrolling. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1186-1196 (2022) - [j105]Zengjie Song
Toward a Controllable Disentanglement Network. IEEE Trans. Cybern. 52(4): 2491-2504 (2022) - [j104]Hongtao Wang
Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j103]Xiao-Li Wei
Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c10]Zixiang Zhao
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. CVPR 2022: 5687-5697 - [i23]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 abs/2205.03645 (2022) - [i22]Hongtao Wang, Jiangshe Zhang, Chunxia Zhang, Zixiang Zhao, Chengli Tan, Zhiyu Yang, Weifeng Geng:
Automatic Velocity Picking Using Unsupervised Ensemble Learning. CoRR abs/2205.08372 (2022) - [i21]Chengli Tan, Jiangshe Zhang, Junmin Liu:
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion. CoRR abs/2206.04359 (2022) - [i20]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 abs/2209.03132 (2022) - [i19]Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CoRR abs/2211.14461 (2022) - 2021
- [j102]Cong Ma, Jiangshe Zhang, Junmin Liu, Lizhen Ji, Fei Gao:
A parallel multi-module deep reinforcement learning algorithm for stock trading. Neurocomputing 449: 290-302 (2021) - [j101]Junying Hu, Chuanjin Richard Shi, Jiang-She Zhang:
Saliency-based YOLO for single target detection. Knowl. Inf. Syst. 63(3): 717-732 (2021) - [j100]Lizhen Ji, Jiangshe Zhang, Chunxia Zhang, Cong Ma, Shuang Xu, Kai Sun:
CondenseNet with exclusive lasso regularization. Neural Comput. Appl. 33(23): 16197-16212 (2021) - [j99]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: 116295 (2021) - [j98]Junmin Liu
Pansharpening Via Neighbor Embedding of Spatial Details. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4028-4042 (2021) - [j97]Guang Shi
Global Context-Augmented Objection Detection in VHR Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(12): 10604-10617 (2021) - [j96]Kai Sun, Jiangshe Zhang
DRCNN: Dynamic Routing Convolutional Neural Network for Multi-View 3D Object Recognition. IEEE Trans. Image Process. 30: 868-877 (2021) - [c9]Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang:
Deep Gradient Projection Networks for Pan-sharpening. CVPR 2021: 1366-1375 - [c8]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: 1-6 - [c7]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: 1-6 - [i18]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 abs/2101.00062 (2021) - [i17]Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang:
Deep Gradient Projection Networks for Pan-sharpening. CoRR abs/2103.04584 (2021) - [i16]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 abs/2103.05946 (2021) - [i15]Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Chun-Xia Zhang, Junmin Liu:
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. CoRR abs/2104.06977 (2021) - [i14]Chengli Tan, Jiangshe Zhang, Junmin Liu:
Understanding Long Range Memory Effects in Deep Neural Networks. CoRR abs/2105.02062 (2021) - 2020
- [j95]Jiangshe Zhang, Cong Ma
Penetrating the influence of regularizations on neural network based on information bottleneck theory. Neurocomputing 393: 76-82 (2020) - [j94]Cong Ma
Parallel Multi-Environment Shaping Algorithm for Complex Multi-step Task. Neurocomputing 402: 323-335 (2020) - [j93]Shuang Xu
Variational Bayesian weighted complex network reconstruction. Inf. Sci. 521: 291-306 (2020) - [j92]Chun-Xia Zhang
On selective learning in stochastic stepwise ensembles. Int. J. Mach. Learn. Cybern. 11(1): 217-230 (2020) - [j91]Changpeng Wang, Jiangshe Zhang, Xueli Song, Tianjun Wu:
Face clustering via learning a sparsity preserving low-rank graph. Multim. Tools Appl. 79(39-40): 29179-29198 (2020) - [j90]Shuang Xu
Bayesian deep matrix factorization network for multiple images denoising. Neural Networks 123: 420-428 (2020) - [j89]Peiju Chang, Jiangshe Zhang, Jinyan Wang, Rongrong Fei:
ELMAENet: A Simple, Effective and Fast Deep Architecture for Image Classification. Neural Process. Lett. 51(1): 129-146 (2020) - [j88]Shuang Xu, Chunxia Zhang
Adaptive quantile low-rank matrix factorization. Pattern Recognit. 103: 107310 (2020) - [j87]Jiangshe Zhang, Junying Hu, Junmin Liu:
Neural network with multiple connection weights. Pattern Recognit. 107: 107481 (2020) - [j86]Ouafa Amira, Shuang Xu, Fang Du, Jiangshe Zhang, Chunxia Zhang
Weighted-capsule routing via a fuzzy gaussian model. Pattern Recognit. Lett. 138: 424-430 (2020) - [j85]Changsheng Zhou
PercepPan: Towards Unsupervised Pan-Sharpening Based on Perceptual Loss. Remote. Sens. 12(14): 2318 (2020) - [j84]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Bayesian fusion for infrared and visible images. Signal Process. 177: 107734 (2020) - [j83]Guang Shi, Jiangshe Zhang, Chunxia Zhang, Junying Hu:
A distributed parallel training method of deep belief networks. Soft Comput. 24(17): 13357-13368 (2020) - [j82]Xingfang Huang
Robust CP Tensor Factorization With Skew Noise. IEEE Signal Process. Lett. 27: 785-789 (2020) - [j81]Shuang Xu
Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy. IEEE Trans. Computational Imaging 6: 1561-1570 (2020) - [j80]Shuang Xu
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss. IEEE Trans. Geosci. Remote. Sens. 58(7): 4618-4628 (2020) - [j79]Changsheng Zhou
Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 58(11): 7705-7719 (2020) - [c6]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li:
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. IJCAI 2020: 970-976 - [i13]Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang:
Towards A Controllable Disentanglement Network. CoRR abs/2001.08572 (2020) - [i12]Shuang Xu, Xiaoli Wei, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
MFFW: A new dataset for multi-focus image fusion. CoRR abs/2002.04780 (2020) - [i11]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Pengfei Li, Jiangshe Zhang:
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. CoRR abs/2003.09210 (2020) - [i10]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Bayesian Fusion for Infrared and Visible Images. CoRR abs/2005.05839 (2020) - [i9]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling. CoRR abs/2005.05896 (2020) - [i8]Shuang Xu, Zixiang Zhao, Yicheng Wang, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Deep Convolutional Sparse Coding Networks for Image Fusion. CoRR abs/2005.08448 (2020) - [i7]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 abs/2009.01315 (2020) - [i6]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 abs/2009.09718 (2020) - [i5]Chengyang Liang, Zixiang Zhao, Junmin Liu, Jiangshe Zhang:
Domain Adaptive Object Detection via Feature Separation and Alignment. CoRR abs/2012.08689 (2020) - [i4]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 abs/2012.14678 (2020)
2010 – 2019
- 2019
- [j78]Qiao Ke
Adaptive Independent Subspace Analysis of Brain Magnetic Resonance Imaging Data. IEEE Access 7: 12252-12261 (2019) - [j77]Chun-Xia Zhang
A novel variational Bayesian method for variable selection in logistic regression models. Comput. Stat. Data Anal. 133: 1-19 (2019) - [j76]Qiao Ke
A neuro-heuristic approach for recognition of lung diseases from X-ray images. Expert Syst. Appl. 126: 218-232 (2019) - [j75]Qiao Ke
The Phase and Shift-Invariant Feature by Adaptive Independent Subspace Analysis for Cortical Complex Cells. Inf. Technol. Control. 48(1): 58-70 (2019) - [j74]Kai Sun, Jiangshe Zhang, Hongwei Yong, Junmin Liu:
FPCANet: Fisher discrimination for Principal Component Analysis Network. Knowl. Based Syst. 166: 108-117 (2019) - [j73]Fang Du, Jiangshe Zhang, Junying Hu, Rongrong Fei:
Discriminative multi-modal deep generative models. Knowl. Based Syst. 173: 74-82 (2019) - [j72]Rongrong Fei
Convolutional Sparse Representation of Injected Details for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 16(10): 1595-1599 (2019) - [j71]Changpeng Wang, Jiangshe Zhang, Guang Shi:
Discriminative low-rank representation with Schatten-p norm for image recognition. Multim. Tools Appl. 78(16): 23075-23095 (2019) - [j70]Guang Shi
A new variant of restricted Boltzmann machine with horizontal connections. Neural Comput. Appl. 31(10): 6521-6533 (2019) - [j69]Fang Du, Jiangshe Zhang, Nannan Ji, Junying Hu, Chunxia Zhang:
Discriminative Representation Learning with Supervised Auto-encoder. Neural Process. Lett. 49(2): 507-520 (2019) - [j68]Guang Shi
Enhance the Performance of Deep Neural Networks via L2 Regularization on the Input of Activations. Neural Process. Lett. 50(1): 57-75 (2019) - [j67]Junmin Liu, Jing Ma, Rongrong Fei, Huirong Li, Jiangshe Zhang:
Enhanced Back-Projection as Postprocessing for Pansharpening. Remote. Sens. 11(6): 712 (2019) - [j66]Zengjie Song
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1150-1165 (2019) - [i3]Shuang Xu, Chun-Xia Zhang, Jiang-She Zhang:
Adaptive Quantile Low-Rank Matrix Factorization. CoRR abs/1901.00140 (2019) - [i2]Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang:
Learning Controllable Disentangled Representations with Decorrelation Regularization. CoRR abs/1912.11675 (2019) - 2018
- [j65]Changpeng Wang, Wei Wei, Jiang-She Zhang, Houbing Song
Robust face recognition via discriminative and common hybrid dictionary learning. Appl. Intell. 48(1): 156-165 (2018) - [j64]Changpeng Wang, Xueli Song, Jiangshe Zhang:
Graph Regularized Nonnegative Matrix Factorization with Sample Diversity for Image Representation. Eng. Appl. Artif. Intell. 68: 32-39 (2018) - [j63]Qiao Ke
Big data analytics enabled by feature extraction based on partial independence. Neurocomputing 288: 3-10 (2018) - [j62]Changpeng Wang, Jiangshe Zhang, Fang Du
Symmetric low-rank representation with adaptive distance penalty for semi-supervised learning. Neurocomputing 316: 376-385 (2018) - [j61]Fang Du
An effective hierarchical extreme learning machine based multimodal fusion framework. Neurocomputing 322: 141-150 (2018) - [j60]Chun-Xia Zhang
Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models. Knowl. Based Syst. 153: 1-11 (2018) - [j59]Changsheng Zhou, Jiangshe Zhang, Junmin Liu:
Lp-WGAN: Using Lp-norm normalization to stabilize Wasserstein generative adversarial networks. Knowl. Based Syst. 161: 415-424 (2018) - [j58]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): 375-388 (2018) - [i1]Shuang Xu, Chun-Xia Zhang, Pei Wang, Jiang-She Zhang:
Variational Bayesian Complex Network Reconstruction. CoRR abs/1812.04369 (2018) - 2017
- [j57]Weifu Ding, Jiangshe Zhang:
Robust visual tracking using information theoretical learning. Ann. Math. Artif. Intell. 80(2): 113-129 (2017) - [j56]Kai Sun, Jiang-She Zhang, Chunxia Zhang, Junying Hu:
Generalized extreme learning machine autoencoder and a new deep neural network. Neurocomputing 230: 374-381 (2017) - [j55]Huirong Li
Graph-based discriminative nonnegative matrix factorization with label information. Neurocomputing 266: 91-100 (2017) - [j54]Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang:
A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer. Neurocomputing 267: 1-17 (2017) - [j53]Huirong Li, Jiangshe Zhang, Junmin Liu:
Graph-regularized CF with local coordinate for image representation. J. Vis. Commun. Image Represent. 49: 392-400 (2017) - [j52]Huirong Li
Graph-based discriminative concept factorization for data representation. Knowl. Based Syst. 118: 70-79 (2017) - [j51]Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang:
A new regularized restricted Boltzmann machine based on class preserving. Knowl. Based Syst. 123: 1-12 (2017) - [j50]Chun-Xia Zhang, Jiang-She Zhang, Qingyan Yin:
A ranking-based strategy to prune variable selection ensembles. Knowl. Based Syst. 125: 13-25 (2017) - 2016
- [j49]Chun-Xia Zhang, Jiang-She Zhang, Sang-Woon Kim:
PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection. Comput. Stat. 31(4): 1237-1262 (2016) - [j48]Junying Hu, Jiang-She Zhang, Chunxia Zhang, Juan Wang:
A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons. Neurocomputing 171: 63-72 (2016) - [j47]Huirong Li, Jiang-She Zhang, Junmin Liu:
Class-driven concept factorization for image representation. Neurocomputing 190: 197-208 (2016) - [j46]Huirong Li, Jiang-She Zhang, Changpeng Wang, Junmin Liu:
Manifold regularized non-negative matrix factorization with label information. J. Electronic Imaging 25(2): 023023 (2016) - [j45]Juan Wang, Jiang-She Zhang, Mingming Zhao:
On size invariance texture image retrieval by fuzzy logic classifier and scattering statistical features. Pattern Anal. Appl. 19(2): 509-516 (2016) - [j44]Shengcai Liu, Jiang-She Zhang, Junmin Liu, Qingyan Yin:
ℓ1/2, 1 group sparse regularization for compressive sensing. Signal Image Video Process. 10(5): 861-868 (2016) - 2015
- [j43]Jiang-She Zhang, Nannan Ji, Junmin Liu, Jiyuan Pan, Deyu Meng:
Enhancing performance of the backpropagation algorithm via sparse response regularization. Neurocomputing 153: 20-40 (2015) - [j42]Jiang-She Zhang, Changpeng Wang, Yu-Qian Yang:
Learning latent features by nonnegative matrix factorization combining similarity judgments. Neurocomputing 155: 43-52 (2015) - [j41]Changpeng Wang, Jiang-She Zhang, Guodong Chang, Qiao Ke
Singular Value Decomposition Projection for solving the small sample size problem in face recognition. J. Vis. Commun. Image Represent. 26: 265-274 (2015) - [c5]Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang:
A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models. MCS 2015: 3-14 - 2014
- [j40]Chun-Xia Zhang, Guan-Wei Wang, Jiang-She Zhang, Gao Guo, Qing-Yan Ying:
IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree. Commun. Stat. Simul. Comput. 43(10): 2714-2731 (2014) - [j39]Nannan Ji, Jiang-She Zhang, Chun-Xia Zhang, Qingyan Yin:
Enhancing performance of restricted Boltzmann machines via log-sum regularization. Knowl. Based Syst. 63: 82-96 (2014) - [j38]Nan-Nan Ji, Jiang-She Zhang, Chun-Xia Zhang:
A sparse-response deep belief network based on rate distortion theory. Pattern Recognit. 47(9): 3179-3191 (2014) - [j37]Chun-Xia Zhang, Jiang-She Zhang, Nan-Nan Ji, Gao Guo:
Learning ensemble classifiers via restricted Boltzmann machines. Pattern Recognit. Lett. 36: 161-170 (2014) - [j36]Nannan Ji, Jiang-She Zhang, Chun-Xia Zhang, Lei Wang:
Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations. Pattern Recognit. Lett. 45: 172-180 (2014) - [j35]Junmin Liu, Jiang-She Zhang:
Spectral Unmixing via Compressive Sensing. IEEE Trans. Geosci. Remote. Sens. 52(11): 7099-7110 (2014) - [j34]Junmin Liu, Yijun Chen, Jiang-She Zhang, Zongben Xu:
Enhancing Low-Rank Subspace Clustering by Manifold Regularization. IEEE Trans. Image Process. 23(9): 4022-4030 (2014) - [c4]Nannan Ji, Jiang-She Zhang:
Parallel tempering with equi-energy moves for training of restricted boltzmann machines. IJCNN 2014: 120-127 - 2012
- [j33]Fei Zang, Jiang-She Zhang:
Label propagation through sparse neighborhood and its applications. Neurocomputing 97: 267-277 (2012) - [j32]Fei Zang, Jiang-She Zhang, Jiyuan Pan:
Face recognition using Elasticfaces. Pattern Recognit. 45(11): 3866-3876 (2012) - [j31]Junmin Liu, Jiangshe Zhang, Yuelin Gao, Chunxia Zhang, Zhihua Li:
Enhancing Spectral Unmixing by Local Neighborhood Weights. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(5): 1545-1552 (2012) - [j30]Junmin Liu, Jiang-She Zhang:
A New Maximum Simplex Volume Method Based on Householder Transformation for Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. 50(1): 104-118 (2012) - 2011
- [j29]Xu Qin
A nonparametric circular-linear multivariate regression model with a rule-of-thumb bandwidth selector. Comput. Math. Appl. 62(8): 3048-3055 (2011) - [j28]Fei Zang, Jiang-She Zhang:
Discriminative learning by sparse representation for classification. Neurocomputing 74(12-13): 2176-2183 (2011) - [j27]Jiyuan Pan, Jiang-She Zhang:
Large margin based nonnegative matrix factorization and partial least squares regression for face recognition. Pattern Recognit. Lett. 32(14): 1822-1835 (2011) - 2010
- [j26]Gai-Ying Zhang, Chun-Xia Zhang, Jiang-She Zhang:
Out-of-Bag Estimation of the Optimal Hyperparameter in SubBag Ensemble Method. Commun. Stat. Simul. Comput. 39(10): 1877-1892 (2010) - [j25]Gai-Ying Zhang, Gao Guo, Jiang-She Zhang:
Svr+rvr: a Robust Sparse Kernel Method for Regression. Int. J. Artif. Intell. Tools 19(5): 627-645 (2010) - [j24]Gao Guo, Jiang-She Zhang, Gai-Ying Zhang:
A method to sparsify the solution of support vector regression. Neural Comput. Appl. 19(1): 115-122 (2010) - [j23]Chun-Xia Zhang, Jiang-She Zhang:
A variant of Rotation Forest for constructing ensemble classifiers. Pattern Anal. Appl. 13(1): 59-77 (2010)
2000 – 2009
- 2009
- [j22]Chun-Xia Zhang, Jiang-She Zhang, Gai-Ying Zhang:
Using Boosting to prune Double-Bagging ensembles. Comput. Stat. Data Anal. 53(4): 1218-1231 (2009) - [j21]Gao Guo, Jiang-She Zhang, Gai-Ying Zhang:
A method to sparsify the solution of support vector regression. Neural Comput. Appl. 18(8): 919-926 (2009) - [j20]Chun-Xia Zhang, Jiang-She Zhang:
A novel method for constructing ensemble classifiers. Stat. Comput. 19(3): 317-327 (2009) - [c3]Xing-Fang Huang, Jiang-She Zhang:
Edge-Preserving Filtering for Grey and Color Image. CSIE (5) 2009: 139-143 - 2008
- [j19]Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang:
An empirical study of using Rotation Forest to improve regressors. Appl. Math. Comput. 195(2): 618-629 (2008) - [j18]Jiangshe Zhang, Yuqian Yang, Xiaowen Chen, Chenghu Zhou:
Enhanced piecewise regression based on deterministic annealing. Sci. China Ser. F Inf. Sci. 51(8): 1025-1038 (2008) - [j17]Chun-Xia Zhang, Jiang-She Zhang:
A local boosting algorithm for solving classification problems. Comput. Stat. Data Anal. 52(4): 1928-1941 (2008) - [j16]Yong-Jun Wang, Jiang-She Zhang:
A new constructing auxiliary function method for global optimization. Math. Comput. Model. 47(11-12): 1396-1410 (2008) - [j15]Chun-Xia Zhang, Jiang-She Zhang:
RotBoost: A technique for combining Rotation Forest and AdaBoost. Pattern Recognit. Lett. 29(10): 1524-1536 (2008) - [c2]Yi-Kuan Zhang, Ke Lu, Jiangshe Zhang, Xiaopeng Zhang:
A Sufficient Condition for Uniform Convergence of Stationary p-Subdivision Scheme. Edutainment 2008: 719-727 - 2007
- [j14]Yong-Jun Wang, Jiang-She Zhang:
Global optimization by an improved differential evolutionary algorithm. Appl. Math. Comput. 188(1): 669-680 (2007) - [j13]Jiang-She Zhang, Xing-Fang Huang, Chenghu Zhou:
An improved kernel regression method based on Taylor expansion. Appl. Math. Comput. 193(2): 419-429 (2007) - [j12]Chun-Xia Zhang, Chang-Lin Mei
An empirical study of a test for polynomial relationships in randomly right censored regression models. Comput. Stat. Data Anal. 51(12): 6543-6556 (2007) - [j11]Yong-Jun Wang, Jiang-She Zhang, Gai-Ying Zhang:
A dynamic clustering based differential evolution algorithm for global optimization. Eur. J. Oper. Res. 183(1): 56-73 (2007) - [j10]Gao Guo, Jiang-She Zhang:
Reducing examples to accelerate support vector regression. Pattern Recognit. Lett. 28(16): 2173-2183 (2007) - 2005
- [j9]Yong-Chang Jiao, Yee Leung, Zongben Xu, Jiang-She Zhang:
Variable Programming: A Generalized Minimax Problem. Part I: Models and Theory. Comput. Optim. Appl. 30(3): 229-261 (2005) - [j8]Yong-Chang Jiao, Yee Leung, Zongben Xu, Jiang-She Zhang:
Variable Programming: A Generalized Minimax Problem. Part II: Algorithms. Comput. Optim. Appl. 30(3): 263-295 (2005) - [c1]Yong-Jun Wang, Jiang-She Zhang, Yu-Fen Zhang:
An Effective and Efficient Two Stage Algorithm for Global Optimization. ICMLC 2005: 487-496 - 2004
- [j7]Jiang-She Zhang, Yiu-Wing Leung:
Improved possibilistic C-means clustering algorithms. IEEE Trans. Fuzzy Syst. 12(2): 209-217 (2004) - 2003
- [j6]Jiang-She Zhang, Yiu-Wing Leung:
Robust clustering by pruning outliers. IEEE Trans. Syst. Man Cybern. Part B 33(6): 983-998 (2003) - 2001
- [j5]Hong Qiao, Jiang-She Zhang, Zongben Xu:
A new data processing method based on a biological model of the compound eye: direction quantization representation. IEEE Trans. Syst. Man Cybern. Part A 31(3): 238-245 (2001) - 2000
- [j4]Yee Leung, Jiang-She Zhang, Zongben Xu:
Clustering by Scale-Space Filtering. IEEE Trans. Pattern Anal. Mach. Intell. 22(12): 1396-1410 (2000)
1990 – 1999
- 1998
- [j3]Zong-Ben Xu, Jiang-She Zhang, Yiu-Wing Leung:
An approximate algorithm for computing multidimensional convex hulls. Appl. Math. Comput. 94(2-3): 193-226 (1998) - [j2]Yiu-Wing Leung, Jiang-She Zhang, Zongben Xu:
Optimal neural network algorithm for on-line string matching. IEEE Trans. Syst. Man Cybern. Part B 28(5): 737-739 (1998) - 1997
- [j1]Yee Leung, Jiang-She Zhang, Zongben Xu:
Neural networks for convex hull computation. IEEE Trans. Neural Networks 8(3): 601-611 (1997)
Coauthor Index
[j130] [j124] [i34] [j116] [c14] [j111] [j107] [j106] [i21] [j102] [j99] [j98] [j97] [j96] [c9] [c8] [c7] [i18] [i17] [i16] [i15] [i14] [j95] [j87] [j85] [j84] [j80] [j79] [c6] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [j74] [j72] [j67] [j66] [j59] [j55] [j53] [j52] [j47] [j46] [j44] [j43] [j35] [j34] [j31] [j30]
[j135] [j131] [j129] [j126] [j125] [i32] [j122] [j121] [j120] [j119] [j117] [j115] [c14] [i25] [j112] [j111] [j110] [j109] [j108] [j106] [j104] [j103] [i23] [i22] [i20] [j100] [j99] [j98] [j97] [c9] [c8] [c7] [i18] [i17] [i16] [i15] [j93] [j92] [j90] [j88] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [c6] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i4] [j77] [j69] [i3] [j61] [j60] [i1] [j56] [j54] [j52] [j51] [j50] [j49] [j48] [c5] [j40] [j39] [j38] [j37] [j36] [j31] [j26] [j23] [j22] [j20] [j19] [j17] [j15] [j12]
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