Xinwei Jiang

发表

Fast identification algorithms for Gaussian process model

Junbin Gao, Chris J. Harris, Xia Hong, 2014, Neurocomputing.

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

Tiankui Zhang, Zhimin Zeng, Xinwei Jiang, 2017, 2017 IEEE 85th Vehicular Technology Conference (VTC Spring).

Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification

Junbin Gao, Junjun Jiang, Zhihua Cai, 2017, IEEE Geoscience and Remote Sensing Letters.

Shared Deep Kernel Learning for Dimensionality Reduction

Dongmei Zhang, Junbin Gao, Xiaobo Liu, 2018, PAKDD.

Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification

Yi Yu, Junjun Jiang, Chen Chen, 2017, IEEE Geoscience and Remote Sensing Letters.

Hyperspectral data recovery with the gradient field of coincident panchromatic imagery

Lei Ma, Xinwei Jiang, Bitao Jiang, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Cluster constraint based sparse NMF for hyperspectral imagery unmixing

Lei Ma, Xinwei Jiang, Yiping Yang, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Coordinated control for path following of two-wheel independently actuated autonomous ground vehicle

Xing Xu, Tang Zhao, Haobin Jiang, 2019 .

TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines

Daming Shi, Junbin Gao, Xinwei Jiang, 2014, IEEE Transactions on Cybernetics.

Functional Locality Preserving Projection for Dimensionality Reduction

Junbin Gao, Xia Hong, Xin Song, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

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

Tiankui Zhang, Jonathan Loo, Xinwei Jiang, 2019, IEEE Systems Journal.

Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction

Junbin Gao, Xinwei Jiang, Tianjiang Wang, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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

Junjun Jiang, Zhihua Cai, Xinwei Jiang, 2018, Sensors.

Optimal Torque Distribution Strategy for Minimizing Energy Consumption of Four-wheel Independent Driven Electric Ground Vehicle

Hongbing Zhao, Xing Xu, Tang Zhao, 2018 .

Analysis and optimization of energy efficiency for an electric vehicle with four independent drive in-wheel motors

Yingfeng Cai, Long Chen, Yong Li, 2018 .

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

Dong Yu, Jue Wang, Xinwei Jiang, 2020, ArXiv.

Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction

Junjun Jiang, Cai Zhihua, Xinwei Jiang, 2019, IEEE Geoscience and Remote Sensing Letters.

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction

Dongmei Zhang, Junbin Gao, Xin Song, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Enhancement of Low Light Level Images with coupled dictionary learning

Chunhong Pan, Jie Yang, Xinwei Jiang, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

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

Zhihua Cai, Xinwei Jiang, Yongshan Zhang, 2019, Remote. Sens..

Stacking Objects Picking System Based on Structured Light

Dong Li, Shan Liu, Xinwei Jiang, 2018, 2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS).

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

Junbin Gao, Junjun Jiang, Xin Song, 2018, Remote. Sens..

An efficient and effective performance estimation method for DSE

Chen Lin, Donglin Wang, Xinwei Jiang, 2016, 2016 International Symposium on VLSI Design, Automation and Test (VLSI-DAT).

Shadow removal in remote sensing images using features sample matting

Ye Tian, Lei Ma, Xinwei Jiang, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Multi-task Gaussian Process Regression-based Image Super Resolution

Lei Ma, Jie Yang, Xinwei Jiang, 2015, BMVC.

Learning Gradients with Gaussian Processes

Junbin Gao, Xinwei Jiang, Tianjiang Wang, 2010, PAKDD.

Enhancement of low light level images with regression methods

Cheng-Lin Liu, Chunhong Pan, Xinwei Jiang, 2017, International Conference on Digital Image Processing.

Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation

Junjun Jiang, Chen Chen, Xinwei Jiang, 2017, IEEE Transactions on Cybernetics.

Thin Plate Spline Latent Variable Models for dimensionality reduction

Daming Shi, Junbin Gao, Xinwei Jiang, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Gaussian Processes Autoencoder for Dimensionality Reduction

Junbin Gao, Xia Hong, Zhihua Cai, 2014, PAKDD.

Image classification based on web community structure model

Xinwei Jiang, Xin Guan, Yumei Li, 2011, 2011 International Conference on Computer Science and Service System (CSSS).

Efficient history matching with dimensionality reduction methods for reservoir simulations

Dongmei Zhang, Xinwei Jiang, Zhijiang Kang, 2018, Simul..

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

Zhihua Cai, Xinwei Jiang, Yongshan Zhang, 2021 .

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

Xiaobo Liu, Zhihua Cai, Xinwei Jiang, 2021, IEEE Geoscience and Remote Sensing Letters.

Minimum unbiased risk estimate based 2DPCA for color image denoising

Junbin Gao, Xinwei Jiang, Tianjiang Wang, 2021, Neurocomputing.

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

Xinwei Jiang, Gui Yuan, Shali Huang, 2021, J. Syst. Inf. Technol..

Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection

Xinwei Jiang, Yicong Zhou, Yongshan Zhang, 2021, IEEE Transactions on Geoscience and Remote Sensing.