Image compression using principal component neural network. - Jian-Xun Mi; De-Shuang Huang (ICARCV, 2004)

A New Constrained Independent Component Analysis Method. - De-Shuang Huang; Jian-Xun Mi (IEEE Trans. Neural Networks, 2007)

A Method for ICA with Reference Signals. - Jian-Xun Mi; Jie Gui (ICIC (2), 2010)

A New Subspace Approach for Face Recognition. - Jian-Xun Mi (ICIC (3), 2011)

A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods. - Jian-Xun Mi; Yanxin Yang (ICIC (3), 2012)

Identifying Characteristic Genes Based on Robust Principal Component Analysis. - Chun-Hou Zheng 001; Jin-Xing Liu 001; Jian-Xun Mi; Yong Xu 001 (ICIC (3), 2012)

A Competitive Sample Selection Method for Palmprint Recognition. - Jiajun Wen 001; Jinrong Cui; Zhihui Lai 001; Jian-Xun Mi (IScIDE, 2012)

Sparse Learning for Face Recognition with Social Context. - Jie Gui; Jian-Xun Mi; Ying-Ke Lei; Hong-Qiang Wang (IScIDE, 2013)

Robust PCA based method for discovering differentially expressed genes. - Jin-Xing Liu 001; Yutian Wang; Chun-Hou Zheng 001; Wen Sha; Jian-Xun Mi; Yong Xu 001 (BMC Bioinform., 2013)

Noisy component extraction with reference. - Yongjian Zhao; Hong He; Jian-Xun Mi (Frontiers Comput. Sci., 2013)

The nearest-farthest subspace classification for face recognition. - Jian-Xun Mi; De-Shuang Huang; Bing Wang 004; Xingjie Zhu (Neurocomputing, 2013)

Using the idea of the sparse representation to perform coarse-to-fine face recognition. - Yong Xu 001; Qi Zhu 001; Zizhu Fan; David Zhang 001; Jian-Xun Mi; Zhihui Lai 001 (Inf. Sci., 2013)

Optimal representation set construction with a competitive scheme for palmprint and face recognition. - Jiajun Wen 001; Jinrong Cui; Zhihui Lai 001; Jian-Xun Mi; Xiao-Tang Guo (Int. J. Comput. Math., 2014)

A comparative study and improvement of two ICA using reference signal methods. - Jian-Xun Mi; Yong Xu 001 (Neurocomputing, 2014)

Extraction of Independent Components from Sparse Mixture. - Jian-Xun Mi; Cong Li; Chao Li (ICIC (2), 2016)

A Human Visual Experience-Inspired Similarity Metric for Face Recognition Under Occlusion. - Jian-Xun Mi; Chao Li; Cong Li; Tao Liu; Ying Liu (Cogn. Comput., 2016)

Multi-step linear representation-based classification for face recognition. - Jian-Xun Mi; Tao Liu (IET Comput. Vis., 2016)

Robust face recognition via sparse boosting representation. - Tao Liu; Jian-Xun Mi; Ying Liu; Chao Li (Neurocomputing, 2016)

Random Feature Discriminant for Linear Representation Based Robust Face Recognition. - Jian-Xun Mi; Xiangbin Ma; Qiankun Fu; Chaowei Zhao; Can Long (CCBR, 2017)

Adaptive Class Preserving Representation for Image Classification. - Jian-Xun Mi; Qiankun Fu; Weisheng Li 001 (CVPR, 2017)

Double direction matrix based sparse representation for face recognition. - Jian-Xun Mi; Zhiheng Luo; Qiankun Fu; Ailian He (SPAC, 2017)

Robust Face Recognition Based on Supervised Sparse Representation. - Jian-Xun Mi; Yueru Sun; Jia Lu (ICIC (3), 2018)

Matrix Regression-Based Classification for Face Recognition. - Jian-Xun Mi; Quanwei Zhu; Zhiheng Luo (S+SSPR, 2018)

Sparse factorial code representation using independent component analysis for face recognition. - Chao Li; Jian-Xun Mi (Multim. Tools Appl., 2018)

Pose-robust face recognition with Huffman-LBP enhanced by Divide-and-Rule strategy. - Lifang Zhou; Yue-Wei Du; Weisheng Li 001; Jian-Xun Mi; Xiao Luan (Pattern Recognit., 2018)

Mirror PCA: Exploiting Facial Symmetry for Feature Extraction. - Jian-Xun Mi; Yueru Sun (ICIC (1), 2019)

Principal component analysis based on block-norm minimization. - Jian-Xun Mi; Quanwei Zhu; Jia Lu (Appl. Intell., 2019)

Bilateral structure based matrix regression classification for face recognition. - Jian-Xun Mi; Zhiheng Luo; Lifang Zhou; Fujin Zhong (Neurocomputing, 2019)

Principal Component Analysis based on Nuclear norm Minimization. - Jian-Xun Mi; Ya-Nan Zhang; Zhihui Lai 001; Weisheng Li 001; Lifang Zhou; Fujin Zhong (Neural Networks, 2019)

Matrix regression-based classification with block-norm. - Jian-Xun Mi; Quanwei Zhu; Zhiheng Luo (Pattern Recognit. Lett., 2019)

SharedNet: A Novel Efficient Convolutional Architecture Based on Group Sharing Convolution. - Jian-Xun Mi; Jie Feng 011 (ICIC (1), 2020)

Review Study of Interpretation Methods for Future Interpretable Machine Learning. - Jian-Xun Mi; An-Di Li; Lifang Zhou (IEEE Access, 2020)

Robust supervised sparse representation for face recognition. - Jian-Xun Mi; Yueru Sun; Jia Lu; Heng Kong (Cogn. Syst. Res., 2020)

Generalized two-dimensional PCA based on ℓ 2, p-norm minimization. - Jian-Xun Mi; Ya-Nan Zhang; Yong Li; Yucheng Shu (Int. J. Mach. Learn. Cybern., 2020)

Exploring Multi-scale Temporal and Spectral CSP Feature for Multi-class Motion Imagination Task Classification. - Jian-Xun Mi; Rong-Feng Li; Guo Chen (ICIC (3), 2021)

A Robust and Automatic Recognition Method of Pointer Instruments in Power System. - Jian-Xun Mi; Xu-Dong Wang; Qing-Yun Yang; Xin Deng 003 (ICIC (1), 2021)

Multi-Stage Liver Segmentation in CT Scans Using Gaussian Pseudo Variance Level Set. - Lifang Zhou; Lu Wang; Weisheng Li 001; Bangjun Lei; Jian-Xun Mi; Weibin Yang (IEEE Access, 2021)

Symmetrical feature extraction via novel Mirror PCA. - Jian-Xun Mi; Lijian Yang; Lifang Zhou; Yueru Sun; Heng Kong (Neurocomputing, 2021)

IoU-guided Siamese region proposal network for real-time visual tracking. - Lifang Zhou; Yu He; Weisheng Li 001; Jian-Xun Mi; Bangjun Lei (Neurocomputing, 2021)

A Lightweight SE-YOLOv3 Network for Multi-Scale Object Detection in Remote Sensing Imagery. - Lifang Zhou; Guang Deng; Weisheng Li 001; Jian-Xun Mi; Bangjun Lei (Int. J. Pattern Recognit. Artif. Intell., 2021)

Inverse Sparse Object Tracking via Adaptive Representation. - Jian-Xun Mi; Yun Gao; Renjie Li (ICIC (3), 2022)

Designing efficient convolutional neural network structure: A survey. - Jian-Xun Mi; Jie Feng 011; Ke-Yang Huang (Neurocomputing, 2022)

Deep cross-view autoencoder network for multi-view learning. - Jian-Xun Mi; Chang-Qing Fu; Tao Chen; Tingting Gou (Multim. Tools Appl., 2022)

Local spatial continuity steered sparse representation for occluded face recognition. - Jian-Xun Mi; Qiang Huang; Lifang Zhou (Multim. Tools Appl., 2022)

A Multi-granularity Decision Fusion Method Based on Category Hierarchy. - Jian-Xun Mi; Ke-Yang Huang; Nuo Li (ICIC (2), 2023)

Attribute self-representation steered by exclusive lasso for zero-shot learning. - Jian-Xun Mi; Zhonghao Zhang; Debao Tai; Li-Fang Zhou (Appl. Intell., 2023)

Adversarial examples based on object detection tasks: A survey. - Jian-Xun Mi; Xu-Dong Wang; Lifang Zhou; Kun Cheng (Neurocomputing, 2023)

Learning exclusive discriminative semantic information for zero-shot learning. - Jian-Xun Mi; Zhonghao Zhang; Debao Tai; Li-Fang Zhou; Wei Jia (Int. J. Mach. Learn. Cybern., 2023)

Hierarchical neural network with efficient selection inference. - Jian-Xun Mi; Nuo Li; Ke-Yang Huang; Weisheng Li 001; Lifang Zhou (Neural Networks, 2023)

Accurate and Robust Eye Center Localization by Deep Voting. - Jian-Xun Mi; Yun Gao; Shiyao Yuan; Weisheng Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Window-Based Convolutional Sparse Coding: Towards A Unified Framework. - Lijian Yang; Jian-Xun Mi; Guofen Wang; Weisheng Li 001 (ICASSP, 2024)

Non-targeted Adversarial Attacks on Object Detection Models. - Jian-Xun Mi; Xiangjin Zhao; Yongtao Chen; Xiao Cheng; Peng Tian; Xiaohong Lv; Jiayong Zhong (ICIC (9), 2024)

ShiftMorph: A Fast and Robust Convolutional Neural Network for 3D Deformable Medical Image Registration. - Lijian Yang; Weisheng Li 001; Yucheng Shu; Jian-Xun Mi; Yuping Huang; Bin Xiao 002 (ACM Multimedia, 2024)

Adversarial Attacks to Manipulate Target Localization of Object Detector. - Kai Xu; Xiao Cheng; Ji Qiao; Jia-Teng Li; Kaixuan Ji; Jiayong Zhong; Peng Tian; Jian-Xun Mi (IEEE Access, 2024)

An elastic competitive and discriminative collaborative representation method for image classification. - Jian-Xun Mi; Jianfei Chen; Shijie Yin; Weisheng Li 001 (Neural Networks, 2024)

Deep Cross-View Reconstruction GAN Based on Correlated Subspace for Multi-View Transformation. - Jian-Xun Mi; Junchang He; Weisheng Li 001 (IEEE Trans. Image Process., 2024)

Toward explainable artificial intelligence: A survey and overview on their intrinsic properties. - Jian-Xun Mi; Xilai Jiang; Lin Luo 008; Yun Gao (Neurocomputing, 2024)

Learning Discriminative Features with VAE-GAN for Zero-Shot Learning. - Jian-Xun Mi; Shenglei Shi; Zhonghao Zhang; Chang Liu (ICIC (9), 2025)

Rethinking the CNN and transformer for deformable image registration. - Lijian Yang; Weisheng Li 001; Yucheng Shu; Jian-Xun Mi; Guofen Wang; Feiyan Li; Bin Xiao 002 (Expert Syst. Appl., 2025)

SimNSD: Similar neighborhood-feature constraint for semi-supervised object detection. - Jian-Xun Mi; Yanjun Wu; Qiyao Liang; Yanyao Huang; Lifang Zhou (J. Frankl. Inst., 2025)

Improving the sparse coding model via hybrid Gaussian priors. - Lijian Yang; Jian-Xun Mi; Weisheng Li 001; Guofen Wang; Bin Xiao 002 (Pattern Recognit., 2025)

StealthMask: Highly stealthy adversarial attack on face recognition system. - Jian-Xun Mi; Mingxuan Chen; Tao Chen; Xiao Cheng (Appl. Intell., 2025)