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2020 – today
- 2024
[j35]Yongshan Zhang
, Yijiang Li, Xinxin Wang, Xinwei Jiang, Yicong Zhou:
Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j34]Jiang Li, Ning Wang, Sai Gong, Xinwei Jiang, Dongmei Zhang:
Metric learning and local enhancement based collaborative representation for hyperspectral image classification. Multim. Tools Appl. 83(14): 42459-42484 (2024) - [j33]Shang Gao, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Qianjin Xiong, Zhihua Cai:
Superpixelwise PCA based data augmentation for hyperspectral image classification. Multim. Tools Appl. 83(34): 81209-81229 (2024) - [j32]Xu Ma, Junhuan Peng, Yuhan Su, Mengyao Shi, Yueze Zheng, Xu Li, Xinwei Jiang:
Deformation Characteristics and Activation Dynamics of the Xiaomojiu Landslide in the Upper Jinsha River Basin Revealed by Multi-Track InSAR Analysis. Remote. Sens. 16(11): 1940 (2024) - [j31]Yongshan Zhang, Shuaikang Yan, Xinwei Jiang, Lefei Zhang, Zhihua Cai, Jun Li:
Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [i5]Xiaoyu Pan, Bowen Zheng, Xinwei Jiang, Zijiao Zeng, Qilong Kou, He Wang, Xiaogang Jin:
RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture. CoRR abs/2410.02788 (2024) - 2023
- [j30]Xiaohong Chen, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai:
Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j29]Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza:
Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [c19]Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai:
Structured-Anchor Projected Clustering for Hyperspectral Images. ICASSP 2023: 1-5 - [c18]Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai:
Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. ICASSP 2023: 1-5 - [c17]Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai:
Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. ICASSP 2023: 1-5 - [c16]Xiaoyu Pan, Bowen Zheng, Xinwei Jiang, Guanglong Xu, Xianli Gu, Jingxiang Li, Qilong Kou, He Wang, Tianjia Shao, Kun Zhou, Xiaogang Jin:
A Locality-based Neural Solver for Optical Motion Capture. SIGGRAPH Asia 2023: 117:1-117:11 - [i4]Xiaoyu Pan, Bowen Zheng, Xinwei Jiang, Guanglong Xu, Xianli Gu, Jingxiang Li, Qilong Kou, He Wang, Tianjia Shao, Kun Zhou, Xiaogang Jin:
A Locality-based Neural Solver for Optical Motion Capture. CoRR abs/2309.00428 (2023) - 2022
- [j28]Zhixiang Ma, Xing Xu, Ju Xie, Xinwei Jiang, Feng Wang:
Negative Stiffness Control of Quasi-Zero Stiffness Air Suspension via Data-Driven Approach with Adaptive Fuzzy Neural Network Method. Int. J. Fuzzy Syst. 24(8): 3715-3730 (2022) - [j27]Xiang Yu, Dongmei Zhang, Tianqing Zhu, Xinwei Jiang:
Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction. Inf. Sci. 613: 541-555 (2022) - [j26]Gui Yuan, Shali Huang, Jing Fu, Xinwei Jiang:
Low rank representation and discriminant analysis-based models for peer-to-peer default risk assessment. J. Syst. Inf. Technol. 24(2): 96-111 (2022) - [j25]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang:
Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j24]Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai:
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j23]Xinxin Wang, Zhenyu Wang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai:
Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery. Multim. Tools Appl. 81(9): 12061-12075 (2022) - [j22]Yongshan Zhang, Yang Wang, Xiaohong Chen, Xinwei Jiang, Yicong Zhou:
Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8500-8511 (2022) - [j21]Xiaobo Liu, Xin Gong, Antonio Plaza, Zhihua Cai, Xiao Xiao, Xinwei Jiang, Xiang Li:
MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j20]Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai:
Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j19]Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou:
Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j18]Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou:
Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j17]Linchao Bao, Xiangkai Lin, Yajing Chen, Haoxian Zhang, Sheng Wang, Xuefei Zhe, Di Kang, Haozhi Huang, Xinwei Jiang, Jue Wang, Dong Yu, Zhengyou Zhang:
High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies. ACM Trans. Graph. 41(1): 3:1-3:21 (2022) - [c15]Yongshan Zhang, Xinxin Wang, Zhenyu Wang, Xinwei Jiang, Yicong Zhou:
Graph Learning Based Autoencoder for Hyperspectral Band Selection. ICASSP 2022: 2794-2798 - [c14]Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai:
Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. IGARSS 2022: 3616-3619 - [c13]Xiaoyu Pan, Jiaming Mai, Xinwei Jiang, Dongxue Tang, Jingxiang Li, Tianjia Shao, Kun Zhou, Xiaogang Jin, Dinesh Manocha:
Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks. SIGGRAPH (Conference Paper Track) 2022: 11:1-11:10 - [i3]Xiaoyu Pan, Jiaming Mai, Xinwei Jiang, Dongxue Tang, Jingxiang Li, Tianjia Shao, Kun Zhou, Xiaogang Jin, Dinesh Manocha:
Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks. CoRR abs/2205.01355 (2022) - 2021
- [j16]Mingli Wang, Xinwei Jiang, Junbin Gao, Tianjiang Wang, Chunlong Hu, Fang Liu, Qi Feng:
Minimum unbiased risk estimate based 2DPCA for color image denoising. Neurocomputing 440: 127-144 (2021) - [j15]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan:
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 59(5): 4191-4202 (2021) - 2020
- [j14]Xiaoping Fang, Yaoming Cai, Zhihua Cai, Xinwei Jiang, Zhikun Chen:
Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. Sensors 20(5): 1262 (2020) - [i2]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan:
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. CoRR abs/2004.10476 (2020) - [i1]Xiangkai Lin, Yajing Chen, Linchao Bao, Haoxian Zhang, Sheng Wang, Xuefei Zhe, Xinwei Jiang, Jue Wang, Dong Yu, Zhengyou Zhang:
High-Fidelity 3D Digital Human Creation from RGB-D Selfies. CoRR abs/2010.05562 (2020)
2010 – 2019
- 2019
- [j13]Zhikun Chen, Junjun Jiang, Chong Zhou, Xinwei Jiang, Shaoyuan Fu, Zhihua Cai:
Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 16(5): 781-785 (2019) - [j12]Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai:
Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote. Sens. 11(1): 29 (2019) - [j11]Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai:
Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. Remote. Sens. 11(17): 1983 (2019) - [j10]Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai:
Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. Remote. Sens. 11(19): 2288 (2019) - [j9]Tiankui Zhang, Xiaogeng Xu, Le Zhou, Xinwei Jiang, Jonathan Loo:
Cache Space Efficient Caching Scheme for Content-Centric Mobile Ad Hoc Networks. IEEE Syst. J. 13(1): 530-541 (2019) - 2018
- [j8]Zhikun Chen, Junjun Jiang, Xinwei Jiang, Xiaoping Fang, Zhihua Cai:
Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter. Sensors 18(6): 1978 (2018) - [j7]Dongmei Zhang, Ao Shen, Xinwei Jiang, Zhijiang Kang:
Efficient history matching with dimensionality reduction methods for reservoir simulations. Simul. 94(8): 739-751 (2018) - [c12]Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong:
Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN 2018: 1-7 - [c11]Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu:
Shared Deep Kernel Learning for Dimensionality Reduction. PAKDD (3) 2018: 297-308 - 2017
- [j6]Junjun Jiang, Chen Chen, Yi Yu, Xinwei Jiang, Jiayi Ma:
Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(3): 404-408 (2017) - [j5]Xinwei Jiang, Xiaoping Fang, Zhikun Chen, Junbin Gao, Junjun Jiang, Zhihua Cai:
Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(10): 1760-1764 (2017) - [j4]Junjun Jiang, Jiayi Ma, Chen Chen, Xinwei Jiang, Zheng Wang:
Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation. IEEE Trans. Cybern. 47(11): 3991-4002 (2017) - [c10]Xinwei Jiang, Tiankui Zhang, Zhimin Zeng:
Content Clustering and Popularity Prediction Based Caching Strategy in Content Centric Networking. VTC Spring 2017: 1-5 - 2016
- [c9]Jie Yang, Xinwei Jiang, Chunhong Pan, Cheng-Lin Liu:
Enhancement of Low Light Level Images with coupled dictionary learning. ICPR 2016: 751-756 - [c8]Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang:
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. IJCNN 2016: 3378-3384 - 2015
- [c7]Xinwei Jiang, Jie Yang, Lei Ma, Yiping Yang:
Multi-task Gaussian Process Regression-based Image Super Resolution. BMVC 2015: 151.1-151.10 - [c6]Lei Ma, Bitao Jiang, Xinwei Jiang, Ye Tian:
Shadow removal in remote sensing images using features sample matting. IGARSS 2015: 4412-4415 - 2014
- [j3]Xia Hong, Junbin Gao, Xinwei Jiang, Chris J. Harris:
Fast identification algorithms for Gaussian process model. Neurocomputing 133: 25-31 (2014) - [j2]Xinwei Jiang, Junbin Gao, Tianjiang Wang, Daming Shi:
TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. IEEE Trans. Cybern. 44(10): 1795-1807 (2014) - [c5]Xinwei Jiang, Lei Ma, Yiping Yang:
Cluster constraint based sparse NMF for hyperspectral imagery unmixing. ICIP 2014: 5107-5111 - [c4]Lei Ma, Bitao Jiang, Xinwei Jiang:
Hyperspectral data recovery with the gradient field of coincident panchromatic imagery. IGARSS 2014: 2946-2949 - [c3]Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai:
Gaussian Processes Autoencoder for Dimensionality Reduction. PAKDD (2) 2014: 62-73 - 2012
- [j1]Xinwei Jiang, Junbin Gao, Tianjiang Wang, Lihong Zheng:
Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Trans. Syst. Man Cybern. Part B 42(6): 1620-1632 (2012) - [c2]Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang:
Thin Plate Spline Latent Variable Models for dimensionality reduction. IJCNN 2012: 1-8 - 2010
- [c1]Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul Wing Hing Kwan:
Learning Gradients with Gaussian Processes. PAKDD (2) 2010: 113-124
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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