Learning Gradients with Gaussian Processes. - Xinwei Jiang; Junbin Gao; Tianjiang Wang; Paul Wing Hing Kwan (PAKDD (2), 2010)

Thin Plate Spline Latent Variable Models for dimensionality reduction. - Xinwei Jiang; Junbin Gao; Daming Shi 001; Tianjiang Wang (IJCNN, 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)

Cluster constraint based sparse NMF for hyperspectral imagery unmixing. - Xinwei Jiang; Lei Ma; Yiping Yang (ICIP, 2014)

Hyperspectral data recovery with the gradient field of coincident panchromatic imagery. - Lei Ma; Bitao Jiang; Xinwei Jiang (IGARSS, 2014)

Gaussian Processes Autoencoder for Dimensionality Reduction. - Xinwei Jiang; Junbin Gao; Xia Hong 001; Zhihua Cai (PAKDD (2), 2014)

Fast identification algorithms for Gaussian process model. - Xia Hong 001; Junbin Gao; Xinwei Jiang; Chris J. Harris (Neurocomputing, 2014)

TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. - Xinwei Jiang; Junbin Gao; Tianjiang Wang; Daming Shi 001 (IEEE Trans. Cybern., 2014)

Multi-task Gaussian Process Regression-based Image Super Resolution. - Xinwei Jiang; Jie Yang; Lei Ma; Yiping Yang (BMVC, 2015)

Shadow removal in remote sensing images using features sample matting. - Lei Ma; Bitao Jiang; Xinwei Jiang; Ye Tian 036 (IGARSS, 2015)

Enhancement of Low Light Level Images with coupled dictionary learning. - Jie Yang; Xinwei Jiang; Chunhong Pan; Cheng-Lin Liu (ICPR, 2016)

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. - Xinwei Jiang; Xin Song; Junbin Gao; Zhihua Cai; Dongmei Zhang 006 (IJCNN, 2016)

Content Clustering and Popularity Prediction Based Caching Strategy in Content Centric Networking. - Xinwei Jiang; Tiankui Zhang; Zhimin Zeng (VTC Spring, 2017)

Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification. - Junjun Jiang; Chen Chen 001; Yi Yu 001; Xinwei Jiang; Jiayi Ma 001 (IEEE Geosci. Remote. Sens. Lett., 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)

Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation. - Junjun Jiang; Jiayi Ma 001; Chen Chen 001; Xinwei Jiang; Zheng Wang 007 (IEEE Trans. Cybern., 2017)

Functional Locality Preserving Projection for Dimensionality Reduction. - Xin Song; Xinwei Jiang; Junbin Gao; Zhihua Cai; Xia Hong 001 (IJCNN, 2018)

Shared Deep Kernel Learning for Dimensionality Reduction. - Xinwei Jiang; Junbin Gao; Xiaobo Liu 001; Zhihua Cai; Dongmei Zhang 006; Yuanxing Liu 002 (PAKDD (3), 2018)

Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter. - Zhikun Chen; Junjun Jiang; Xinwei Jiang; Xiaoping Fang; Zhihua Cai (Sensors, 2018)

Efficient history matching with dimensionality reduction methods for reservoir simulations. - Dongmei Zhang 006; Ao Shen; Xinwei Jiang; Zhijiang Kang (Simul., 2018)

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)

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)

Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. - Xin Song; Xinwei Jiang; Junbin Gao; Zhihua Cai (Remote. Sens., 2019)

Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. - Yongshan Zhang; Xinwei Jiang; Xinxin Wang 003; Zhihua Cai (Remote. Sens., 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)

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 001; Dong Yu 001; Zhengyou Zhang (CoRR, 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)

Minimum unbiased risk estimate based 2DPCA for color image denoising. - Mingli Wang 004; Xinwei Jiang; Junbin Gao; Tianjiang Wang; Chunlong Hu; Fang Liu 011; Qi Feng 003 (Neurocomputing, 2021)

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Xinwei Jiang; Qin Yan (IEEE Trans. Geosci. Remote. Sens., 2021)

Graph Learning Based Autoencoder for Hyperspectral Band Selection. - Yongshan Zhang; Xinxin Wang 003; Zhenyu Wang; Xinwei Jiang; Yicong Zhou (ICASSP, 2022)

Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. - Qin Yan; Xinwei Jiang; Yongshan Zhang; Zhihua Cai (IGARSS, 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 001; Xiaogang Jin 001; Dinesh Manocha (SIGGRAPH (Conference Paper Track), 2022)

Negative Stiffness Control of Quasi-Zero Stiffness Air Suspension via Data-Driven Approach with Adaptive Fuzzy Neural Network Method. - Zhixiang Ma; Xing Xu 002; Ju Xie; Xinwei Jiang; Feng Wang (Int. J. Fuzzy Syst., 2022)

Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction. - Xiang Yu; Dongmei Zhang 006; Tianqing Zhu; Xinwei Jiang (Inf. Sci., 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)

Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Xinwei Jiang (IEEE Geosci. Remote. Sens. Lett., 2022)

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection. - Xinwei Jiang; Liwen Xiong; Qin Yan; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2022)

Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery. - Xinxin Wang 003; Zhenyu Wang; Yongshan Zhang; Xinwei Jiang; Zhihua Cai (Multim. Tools Appl., 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)

MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification. - Xiaobo Liu 001; Xin Gong; Antonio Plaza; Zhihua Cai; Xiao Xiao; Xinwei Jiang; Xiang Li 070 (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 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2022)

Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection. - Yongshan Zhang; Xinxin Wang 003; Xinwei Jiang; Yicong Zhou (IEEE Trans. Geosci. Remote. Sens., 2022)

Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection. - Yongshan Zhang; Xinxin Wang 003; Xinwei Jiang; Yicong Zhou (IEEE Trans. Geosci. Remote. Sens., 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 001; Xinwei Jiang; Jue Wang 001; Dong Yu 001; Zhengyou Zhang (ACM Trans. Graph., 2022)

Structured-Anchor Projected Clustering for Hyperspectral Images. - Guozhu Jiang; Jie Zhang; Yongshan Zhang; Xinwei Jiang; Zhihua Cai (ICASSP, 2023)

Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. - Yuyun Lian; Yongshan Zhang; Xuxiang Feng; Xinwei Jiang; Zhihua Cai (ICASSP, 2023)

Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. - Jianwen Qi; Jie Zhang; Yongshan Zhang; Xinwei Jiang; Zhihua Cai (ICASSP, 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 002; Tianjia Shao; Kun Zhou 001; Xiaogang Jin 001 (SIGGRAPH Asia, 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)

Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. - Pengyu Lu; Xinwei Jiang; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai; Junjun Jiang; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture. - Xiaoyu Pan; Bowen Zheng; Xinwei Jiang; Zijiao Zeng; Qilong Kou; He Wang 002; Xiaogang Jin 001 (SIGGRAPH Asia, 2024)

Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection. - Yongshan Zhang; Yijiang Li; Xinxin Wang 003; Xinwei Jiang; Yicong Zhou (IEEE Geosci. Remote. Sens. Lett., 2024)

Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering. - Yongshan Zhang; Shuaikang Yan; Xinwei Jiang; Lefei Zhang; Zhihua Cai; Jun Li 009 (IEEE Trans. Geosci. Remote. Sens., 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., 2024)

Deformation Characteristics and Activation Dynamics of the Xiaomojiu Landslide in the Upper Jinsha River Basin Revealed by Multi-Track InSAR Analysis. - Xu Ma; Junhuan Peng; Yuhan Su; Mengyao Shi; Yueze Zheng; Xu Li; Xinwei Jiang (Remote. Sens., 2024)

Superpixelwise PCA based data augmentation for hyperspectral image classification. - Shang Gao; Xinwei Jiang; Yongshan Zhang; Xiaobo Liu 001; Qianjin Xiong; Zhihua Cai (Multim. Tools Appl., 2024)

Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection. - Ziyang Ma; Yongshan Zhang; Yuyun Lian; Xinwei Jiang; Xiaobo Liu 001; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2025)

Rescaled three-mode principal component analysis: An approach to subspace recovery. - Mingli Wang 004; Junbin Gao; Xinwei Jiang; Chunlong Hu; Feng Qin; Tianjiang Wang (Neural Networks, 2025)

Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images. - Enjia Gu; Yongshan Zhang; Xinxin Wang 003; Xinwei Jiang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Dual-Branch Convolution-Transformer Network With Spectral-Spatial Attention for Hyperspectral Image Classification. - Yao Lu; Yongshan Zhang; Xinwei Jiang; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2025)

Structured Anchor Learning for Large-Scale Hyperspectral Image Projected Clustering. - Guozhu Jiang; Yongshan Zhang; Xinxin Wang 003; Xinwei Jiang; Lefei Zhang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Elastic Graph Fusion Subspace Clustering for Large Hyperspectral Image. - Yongshan Zhang; Xinxin Wang 003; Xinwei Jiang; Lefei Zhang; Bo Du 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)