Xinwei Jiang

According to our database, Xinwei Jiang authored at least 52 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Metric learning and local enhancement based collaborative representation for hyperspectral image classification.

Jiang Li, Ning Wang, Sai Gong, Xinwei Jiang, Dongmei Zhang

Multim. Tools Appl., April, 2024

2023

Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images.

Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2023

Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery.

Xiaohong Chen, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2023

A Locality-based Neural Solver for Optical Motion Capture.

Xiaoyu Pan, Bowen Zheng, Xinwei Jiang, Guanglong Xu, Xianli Gu, Jingxiang Li, Qilong Kou, He Wang, Tianjia Shao, Kun Zhou, Xiaogang Jin

CoRR, 2023

A Locality-based Neural Solver for Optical Motion Capture.

Xiaoyu Pan, Bowen Zheng, Xinwei Jiang, Guanglong Xu, Xianli Gu, Jingxiang Li, Qilong Kou, He Wang, Tianjia Shao, Kun Zhou, Xiaogang Jin

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection.

Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai

Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection.

Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai

Proceedings of the IEEE International Conference on Acoustics, 2023

Structured-Anchor Projected Clustering for Hyperspectral Images.

Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies.

Linchao Bao, Xiangkai Lin, Yajing Chen, Haoxian Zhang, Sheng Wang, Xuefei Zhe, Di Kang, Haozhi Huang, Xinwei Jiang, Jue Wang, Dong Yu, Zhengyou Zhang

ACM Trans. Graph., 2022

Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection.

Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection.

Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery.

Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai

IEEE Trans. Geosci. Remote. Sens., 2022

MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification.

Xiaobo Liu, Xin Gong, Antonio Plaza, Zhihua Cai, Xiao Xiao, Xinwei Jiang, Xiang Li

IEEE Trans. Geosci. Remote. Sens., 2022

Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering.

Yongshan Zhang, Yang Wang, Xiaohong Chen, Xinwei Jiang, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., 2022

Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery.

Xinxin Wang, Zhenyu Wang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai

Multim. Tools Appl., 2022

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection.

Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2022

Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image.

Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang

IEEE Geosci. Remote. Sens. Lett., 2022

Low rank representation and discriminant analysis-based models for peer-to-peer default risk assessment.

Gui Yuan, Shali Huang, Jing Fu, Xinwei Jiang

J. Syst. Inf. Technol., 2022

Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction.

Xiang Yu, Dongmei Zhang, Tianqing Zhu, Xinwei Jiang

Inf. Sci., 2022

Negative Stiffness Control of Quasi-Zero Stiffness Air Suspension via Data-Driven Approach with Adaptive Fuzzy Neural Network Method.

Zhixiang Ma, Xing Xu, Ju Xie, Xinwei Jiang, Feng Wang

Int. J. Fuzzy Syst., 2022

Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks.

Xiaoyu Pan, Jiaming Mai, Xinwei Jiang, Dongxue Tang, Jingxiang Li, Tianjia Shao, Kun Zhou, Xiaogang Jin, Dinesh Manocha

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Superpixel Correction Based Label Propagation for Hyperspectral Images Classification.

Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Graph Learning Based Autoencoder for Hyperspectral Band Selection.

Yongshan Zhang, Xinxin Wang, Zhenyu Wang, Xinwei Jiang, Yicong Zhou

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image.

Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan

IEEE Trans. Geosci. Remote. Sens., 2021

Minimum unbiased risk estimate based 2DPCA for color image denoising.

Mingli Wang, Xinwei Jiang, Junbin Gao, Tianjiang Wang, Chunlong Hu, Fang Liu, Qi Feng

Neurocomputing, 2021

2020

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine.

Xiaoping Fang, Yaoming Cai, Zhihua Cai, Xinwei Jiang, Zhikun Chen

Sensors, 2020

High-Fidelity 3D Digital Human Creation from RGB-D Selfies.

Xiangkai Lin, Yajing Chen, Linchao Bao, Haoxian Zhang, Sheng Wang, Xuefei Zhe, Xinwei Jiang, Jue Wang, Dong Yu, Zhengyou Zhang

CoRR, 2020

2019

Cache Space Efficient Caching Scheme for Content-Centric Mobile Ad Hoc Networks.

Tiankui Zhang, Xiaogeng Xu, Le Zhou, Xinwei Jiang, Jonathan Loo

IEEE Syst. J., 2019

Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine.

Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai

Remote. Sens., 2019

Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification.

Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai

Remote. Sens., 2019

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery.

Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai

Remote. Sens., 2019

Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction.

Zhikun Chen, Junjun Jiang, Chong Zhou, Xinwei Jiang, Shaoyuan Fu, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2019

2018

Efficient history matching with dimensionality reduction methods for reservoir simulations.

Dongmei Zhang, Ao Shen, Xinwei Jiang, Zhijiang Kang

Simul., 2018

Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter.

Zhikun Chen, Junjun Jiang, Xinwei Jiang, Xiaoping Fang, Zhihua Cai

Sensors, 2018

Shared Deep Kernel Learning for Dimensionality Reduction.

Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Functional Locality Preserving Projection for Dimensionality Reduction.

Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation.

Junjun Jiang, Jiayi Ma, Chen Chen, Xinwei Jiang, Zheng Wang

IEEE Trans. Cybern., 2017

Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification.

Xinwei Jiang, Xiaoping Fang, Zhikun Chen, Junbin Gao, Junjun Jiang, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2017

Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification.

Junjun Jiang, Chen Chen, Yi Yu, Xinwei Jiang, Jiayi Ma

IEEE Geosci. Remote. Sens. Lett., 2017

Content Clustering and Popularity Prediction Based Caching Strategy in Content Centric Networking.

Xinwei Jiang, Tiankui Zhang, Zhimin Zeng

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

2016

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction.

Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Enhancement of Low Light Level Images with coupled dictionary learning.

Jie Yang, Xinwei Jiang, Chunhong Pan, Cheng-Lin Liu

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Shadow removal in remote sensing images using features sample matting.

Lei Ma, Bitao Jiang, Xinwei Jiang, Ye Tian

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Multi-task Gaussian Process Regression-based Image Super Resolution.

Xinwei Jiang, Jie Yang, Lei Ma, Yiping Yang

Proceedings of the British Machine Vision Conference 2015, 2015

2014

TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines.

Xinwei Jiang, Junbin Gao, Tianjiang Wang, Daming Shi

IEEE Trans. Cybern., 2014

Fast identification algorithms for Gaussian process model.

Xia Hong, Junbin Gao, Xinwei Jiang, Chris J. Harris

Neurocomputing, 2014

Gaussian Processes Autoencoder for Dimensionality Reduction.

Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Hyperspectral data recovery with the gradient field of coincident panchromatic imagery.

Lei Ma, Bitao Jiang, Xinwei Jiang

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Cluster constraint based sparse NMF for hyperspectral imagery unmixing.

Xinwei Jiang, Lei Ma, Yiping Yang

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012

Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction.

Xinwei Jiang, Junbin Gao, Tianjiang Wang, Lihong Zheng

IEEE Trans. Syst. Man Cybern. Part B, 2012

Thin Plate Spline Latent Variable Models for dimensionality reduction.

Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2010

Learning Gradients with Gaussian Processes.

Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul Wing Hing Kwan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010