Xinwei Jiang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 47

Top Topics

Dimensionality Reduction

Hyperspectral Image Classification

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE Geosci. Remote. Sens. Lett.

Publications

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) (2024)
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) (2024)
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 (2024)
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 (2024)
Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai
Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. ICASSP (2023)
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 (2023)
Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. ICASSP (2023)
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 (2023)
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)
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 (2023)
Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
Structured-Anchor Projected Clustering for Hyperspectral Images. ICASSP (2023)
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 (2022)
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 (2022)
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) (2022)
Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou
Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
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) (2022)
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 (2022)
Yongshan Zhang, Xinxin Wang, Zhenyu Wang, Xinwei Jiang, Yicong Zhou
Graph Learning Based Autoencoder for Hyperspectral Band Selection. ICASSP (2022)
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)
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 (2022)
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) (2022)
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) (2022)
Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai
Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. IGARSS (2022)
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 (2022)
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) (2022)
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 (2022)
Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou
Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
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) (2021)
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 (2021)
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 (2020)
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 (2020)
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) (2020)
Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai
Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. Remote. Sens. 11 (17) (2019)
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) (2019)
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) (2019)
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) (2019)
Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai
Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. Remote. Sens. 11 (19) (2019)
Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu
Shared Deep Kernel Learning for Dimensionality Reduction. PAKDD (3) (2018)
Zhikun Chen, Junjun Jiang, Xinwei Jiang, Xiaoping Fang, Zhihua Cai
Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter. Sensors 18 (6) (2018)
Dongmei Zhang, Ao Shen, Xinwei Jiang, Zhijiang Kang
Efficient history matching with dimensionality reduction methods for reservoir simulations. Simul. 94 (8) (2018)
Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong
Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN (2018)
Xinwei Jiang, Tiankui Zhang, Zhimin Zeng
Content Clustering and Popularity Prediction Based Caching Strategy in Content Centric Networking. VTC Spring (2017)
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) (2017)
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) (2017)
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) (2017)
Jie Yang, Xinwei Jiang, Chunhong Pan, Cheng-Lin Liu
Enhancement of Low Light Level Images with coupled dictionary learning. ICPR (2016)
Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. IJCNN (2016)
Lei Ma, Bitao Jiang, Xinwei Jiang, Ye Tian
Shadow removal in remote sensing images using features sample matting. IGARSS (2015)
Xinwei Jiang, Jie Yang, Lei Ma, Yiping Yang
Multi-task Gaussian Process Regression-based Image Super Resolution. BMVC (2015)
Xinwei Jiang, Junbin Gao, Tianjiang Wang, Daming Shi
TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. IEEE Trans. Cybern. 44 (10) (2014)
Xinwei Jiang, Lei Ma, Yiping Yang
Cluster constraint based sparse NMF for hyperspectral imagery unmixing. ICIP (2014)
Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai
Gaussian Processes Autoencoder for Dimensionality Reduction. PAKDD (2) (2014)
Xia Hong, Junbin Gao, Xinwei Jiang, Chris J. Harris
Fast identification algorithms for Gaussian process model. Neurocomputing 133 (2014)
Lei Ma, Bitao Jiang, Xinwei Jiang
Hyperspectral data recovery with the gradient field of coincident panchromatic imagery. IGARSS (2014)
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) (2012)
Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang
Thin Plate Spline Latent Variable Models for dimensionality reduction. IJCNN (2012)
Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul Wing Hing Kwan
Learning Gradients with Gaussian Processes. PAKDD (2) (2010)