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Chunxia Zhang 0002
Chun-Xia Zhang 0002
Person information
- affiliation: Xi'an Jiaotong University, School of Mathemetics and Statistics, China
Other persons with the same name
- Chunxia Zhang (aka: Chun-Xia Zhang) — disambiguation page
- Chunxia Zhang 0001
— Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
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2020 – today
- 2024
- [j74]Li-Li Bao
A two-stage spatial prediction modeling approach based on graph neural networks and neural processes. Expert Syst. Appl. 258: 125173 (2024) - [j73]Li Long
Automatic Source Point Offset via REINFORCE Based on Transformer. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j72]Li-Li Bao
Spatial multi-attention conditional neural processes. Neural Networks 173: 106201 (2024) - [j71]Haowen Bai
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j70]Hongtao Wang
DSU-Net: Dynamic Snake U-Net for 2-D Seismic First Break Picking. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j69]Hongtao Wang
UPNet: Uncertainty-Based Picking Deep Learning Network for Robust First Break Picking. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j68]Xiao-Li Wei
Seismic Data Interpolation via Denoising Diffusion Implicit Models With Coherence-Corrected Resampling. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [i21]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) - [i20]Hongtao Wang, Rongyu Feng, Liangyi Wu, Mutian Liu, Yinuo Cui, Chunxia Zhang, Zhenbo Guo:
DSU-Net: Dynamic Snake U-Net for 2-D Seismic First Break Picking. CoRR abs/2405.16980 (2024) - 2023
- [j67]Kai Sun
MBIAN: Multi-level bilateral interactive attention network for multi-modal image processing. Expert Syst. Appl. 231: 120733 (2023) - [j66]Li-Li Bao
A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty. Comput. Geosci. 178: 105409 (2023) - [j65]Pei Liu
Consecutively Missing Seismic Data Reconstruction Via Wavelet-Based Swin Residual Network. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j64]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) - [j63]Fei Gao
Long Short-Term Memory Networks with Multiple Variables for Stock Market Prediction. Neural Process. Lett. 55(4): 4211-4229 (2023) - [j62]Aoqi Song
Regeneration-Constrained Self-Supervised Seismic Data Interpolation. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [c10]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 - [i19]Hongtao Wang, Jiangshe Zhang, Xiaoli Wei, Li Long, Chunxia Zhang:
Leveraging Uncertainty Quantification for Picking Robust First Break Times. CoRR abs/2305.13799 (2023) - 2022
- [j61]Chun-Xia Zhang
Forecasting stock volatility and value-at-risk based on temporal convolutional networks. Expert Syst. Appl. 207: 117951 (2022) - [j60]Xiao-Li Wei
Seismic fault detection using convolutional neural networks with focal loss. Comput. Geosci. 158: 104968 (2022) - [j59]Shuang Xu
A model-driven network for guided image denoising. Inf. Fusion 85: 60-71 (2022) - [j58]Aoqi Song
Seismic Data Reconstruction via Recurrent Residual Multiscale Inference. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j57]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) - [j56]Shuang Xu
Hyperspectral image denoising by low-rank models with hyper-Laplacian total variation prior. Signal Process. 201: 108733 (2022) - [j55]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) - [j54]Hongtao Wang
Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j53]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) - [i18]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) - [i17]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) - [i16]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) - 2021
- [j52]Chunxia Zhang, Junmin Liu, Guanwei Wang, Guanghai Li:
DPP-VSE: Constructing a variable selection ensemble by determinantal point processes. Expert Syst. Appl. 178: 115025 (2021) - [j51]Junmin Liu, Zhuangzhuang Xie, Chunxia Zhang
A novel method for Mandarin speech synthesis by inserting prosodic structure prediction into Tacotron2. Int. J. Mach. Learn. Cybern. 12(10): 2809-2823 (2021) - [j50]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) - [j49]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) - [j48]Junmin Liu
Pansharpening Via Neighbor Embedding of Spatial Details. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4028-4042 (2021) - [j47]Guang Shi
Global Context-Augmented Objection Detection in VHR Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(12): 10604-10617 (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 - [c6]Chun-Xia Zhang, Xiaoli Wei, Sang-Woon Kim:
Empirical Evaluation on Utilizing CNN-features for Seismic Patch Classification. ICPRAM 2021: 166-173 - [i15]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) - [i14]Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang:
Deep Gradient Projection Networks for Pan-sharpening. CoRR abs/2103.04584 (2021) - [i13]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) - [i12]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) - 2020
- [j46]Shuang Xu
Variational Bayesian weighted complex network reconstruction. Inf. Sci. 521: 291-306 (2020) - [j45]Chun-Xia Zhang
On selective learning in stochastic stepwise ensembles. Int. J. Mach. Learn. Cybern. 11(1): 217-230 (2020) - [j44]Shuang Xu
Bayesian deep matrix factorization network for multiple images denoising. Neural Networks 123: 420-428 (2020) - [j43]Shuang Xu, Chunxia Zhang
Adaptive quantile low-rank matrix factorization. Pattern Recognit. 103: 107310 (2020) - [j42]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) - [j41]Changsheng Zhou
PercepPan: Towards Unsupervised Pan-Sharpening Based on Perceptual Loss. Remote. Sens. 12(14): 2318 (2020) - [j40]Junmin Liu, Yunqiao Feng, Changsheng Zhou, Chunxia Zhang:
PWNet: An Adaptive Weight Network for the Fusion of Panchromatic and Multispectral Images. Remote. Sens. 12(17): 2804 (2020) - [j39]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Bayesian fusion for infrared and visible images. Signal Process. 177: 107734 (2020) - [j38]Guang Shi, Jiangshe Zhang, Chunxia Zhang, Junying Hu:
A distributed parallel training method of deep belief networks. Soft Comput. 24(17): 13357-13368 (2020) - [j37]Xingfang Huang
Robust CP Tensor Factorization With Skew Noise. IEEE Signal Process. Lett. 27: 785-789 (2020) - [j36]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) - [j35]Shuang Xu
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss. IEEE Trans. Geosci. Remote. Sens. 58(7): 4618-4628 (2020) - [j34]Changsheng Zhou
Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 58(11): 7705-7719 (2020) - [c5]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 - [i11]Shuang Xu, Xiaoli Wei, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
MFFW: A new dataset for multi-focus image fusion. CoRR abs/2002.04780 (2020) - [i10]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) - [i9]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Bayesian Fusion for Infrared and Visible Images. CoRR abs/2005.05839 (2020) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [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
- [j33]Chun-Xia Zhang
A novel variational Bayesian method for variable selection in logistic regression models. Comput. Stat. Data Anal. 133: 1-19 (2019) - [j32]Bao Guo, Chunxia Zhang
Improving text classification with weighted word embeddings via a multi-channel TextCNN model. Neurocomputing 363: 366-374 (2019) - [j31]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) - [j30]Chunxia Zhang
Pruning variable selection ensembles. Stat. Anal. Data Min. 12(3): 168-184 (2019) - [j29]Shuang Xu
Spectral Learning Algorithm Reveals Propagation Capability of Complex Networks. IEEE Trans. Cybern. 49(12): 4253-4261 (2019) - [i3]Shuang Xu, Chun-Xia Zhang, Jiang-She Zhang:
Adaptive Quantile Low-Rank Matrix Factorization. CoRR abs/1901.00140 (2019) - 2018
- [j28]Fang Du
An effective hierarchical extreme learning machine based multimodal fusion framework. Neurocomputing 322: 141-150 (2018) - [j27]Chun-Xia Zhang
Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models. Knowl. Based Syst. 153: 1-11 (2018) - [i2]Shuang Xu, Chun-Xia Zhang, Pei Wang, Jiang-She Zhang:
Variational Bayesian Complex Network Reconstruction. CoRR abs/1812.04369 (2018) - 2017
- [j26]Qing-Yan Yin
Ensembling Variable Selectors by Stability Selection for the Cox Model. Comput. Intell. Neurosci. 2017: 2747431:1-2747431:10 (2017) - [j25]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) - [j24]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) - [j23]Huirong Li
Graph-based discriminative concept factorization for data representation. Knowl. Based Syst. 118: 70-79 (2017) - [j22]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) - [j21]Chun-Xia Zhang, Jiang-She Zhang, Qingyan Yin:
A ranking-based strategy to prune variable selection ensembles. Knowl. Based Syst. 125: 13-25 (2017) - [i1]Chunxia Zhang, Yilei Wu, Mu Zhu:
Pruning variable selection ensembles. CoRR abs/1704.08265 (2017) - 2016
- [j20]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) - [j19]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) - [j18]Chun-Xia Zhang
Randomizing outputs to increase variable selection accuracy. Neurocomputing 218: 91-102 (2016) - 2015
- [j17]Guan-Wei Wang, Chun-Xia Zhang, Gao Guo:
Investigating the Effect of Randomly Selected Feature Subsets on Bagging and Boosting. Commun. Stat. Simul. Comput. 44(3): 636-646 (2015) - [c4]Guan-Wei Wang, Chun-Xia Zhang:
Building variable selection ensembles for linear regression models by adding noise. ICMLC 2015: 554-559 - [c3]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
- [j16]Guan-Wei Wang, Chun-Xia Zhang, Jian Zhuang:
Clustering with Prim's sequential representation of minimum spanning tree. Appl. Math. Comput. 247: 521-534 (2014) - [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [c2]Chun-Xia Zhang, Guan-Wei Wang:
Boosting variable selection algorithm for linear regression models. ICNC 2014: 769-774 - 2012
- [j10]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) - 2011
- [j9]Chunxia Zhang, Robert P. W. Duin:
An experimental study of one- and two-level classifier fusion for different sample sizes. Pattern Recognit. Lett. 32(14): 1756-1767 (2011) - 2010
- [j8]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) - [j7]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
- [j6]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) - [j5]Chun-Xia Zhang, Jiang-She Zhang:
A novel method for constructing ensemble classifiers. Stat. Comput. 19(3): 317-327 (2009) - [c1]Chunxia Zhang, Robert P. W. Duin:
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets. MCS 2009: 478-487 - 2008
- [j4]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) - [j3]Chun-Xia Zhang, Jiang-She Zhang:
A local boosting algorithm for solving classification problems. Comput. Stat. Data Anal. 52(4): 1928-1941 (2008) - [j2]Chun-Xia Zhang, Jiang-She Zhang:
RotBoost: A technique for combining Rotation Forest and AdaBoost. Pattern Recognit. Lett. 29(10): 1524-1536 (2008) - 2007
- [j1]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)
Coauthor Index
[j74] [j73] [j72] [j71] [j69] [j68] [i21] [j67] [j66] [j65] [j64] [j63] [j62] [c10] [i19] [j61] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [i18] [i17] [i16] [j50] [j49] [j48] [j47] [c9] [c8] [c7] [i15] [i14] [i13] [i12] [j46] [j45] [j44] [j43] [j42] [j41] [j39] [j38] [j37] [j36] [j35] [j34] [c5] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [j33] [j31] [i3] [j28] [j27] [i2] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [c3] [j15] [j14] [j13] [j12] [j11] [j10] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1]
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