Jian-Xun Mi

According to our database, Jian-Xun Mi authored at least 57 papers between 2004 and 2025.

Collaborative distances:

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

2025

Improving the sparse coding model via hybrid Gaussian priors.

Lijian Yang, Jian-Xun Mi, Weisheng Li, Guofen Wang, Bin Xiao

Pattern Recognit., 2025

2024

Toward explainable artificial intelligence: A survey and overview on their intrinsic properties.

Jian-Xun Mi, Xilai Jiang, Lin Luo, Yun Gao

Neurocomputing, January, 2024

Deep Cross-View Reconstruction GAN Based on Correlated Subspace for Multi-View Transformation.

Jian-Xun Mi, Junchang He, Weisheng Li

IEEE Trans. Image Process., 2024

An elastic competitive and discriminative collaborative representation method for image classification.

Jian-Xun Mi, Jianfei Chen, Shijie Yin, Weisheng Li

Neural Networks, 2024

ShiftMorph: A Fast and Robust Convolutional Neural Network for 3D Deformable Medical Image Registration.

Lijian Yang, Weisheng Li, Yucheng Shu, Jian-Xun Mi, Yuping Huang, Bin Xiao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Non-targeted Adversarial Attacks on Object Detection Models.

Jian-Xun Mi, Xiangjin Zhao, Yongtao Chen, Xiao Cheng, Peng Tian, Xiaohong Lv, Jiayong Zhong

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Window-Based Convolutional Sparse Coding: Towards A Unified Framework.

Lijian Yang, Jian-Xun Mi, Guofen Wang, Weisheng Li

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Accurate and Robust Eye Center Localization by Deep Voting.

Jian-Xun Mi, Yun Gao, Shiyao Yuan, Weisheng Li

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Hierarchical neural network with efficient selection inference.

Jian-Xun Mi, Nuo Li, Ke-Yang Huang, Weisheng Li, Lifang Zhou

Neural Networks, April, 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., March, 2023

Adversarial examples based on object detection tasks: A survey.

Jian-Xun Mi, Xu-Dong Wang, Lifang Zhou, Kun Cheng

Neurocomputing, 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

A Multi-granularity Decision Fusion Method Based on Category Hierarchy.

Jian-Xun Mi, Ke-Yang Huang, Nuo Li

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Local spatial continuity steered sparse representation for occluded face recognition.

Jian-Xun Mi, Qiang Huang, Lifang Zhou

Multim. Tools Appl., 2022

Deep cross-view autoencoder network for multi-view learning.

Jian-Xun Mi, Chang-Qing Fu, Tao Chen, Tingting Gou

Multim. Tools Appl., 2022

Designing efficient convolutional neural network structure: A survey.

Jian-Xun Mi, Jie Feng, Ke-Yang Huang

Neurocomputing, 2022

Inverse Sparse Object Tracking via Adaptive Representation.

Jian-Xun Mi, Yun Gao, Renjie Li

Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

2021

A Lightweight SE-YOLOv3 Network for Multi-Scale Object Detection in Remote Sensing Imagery.

Lifang Zhou, Guang Deng, Weisheng Li, Jian-Xun Mi, Bangjun Lei

Int. J. Pattern Recognit. Artif. Intell., 2021

IoU-guided Siamese region proposal network for real-time visual tracking.

Lifang Zhou, Yu He, Weisheng Li, Jian-Xun Mi, Bangjun Lei

Neurocomputing, 2021

Symmetrical feature extraction via novel Mirror PCA.

Jian-Xun Mi, Lijian Yang, Lifang Zhou, Yueru Sun, Heng Kong

Neurocomputing, 2021

Multi-Stage Liver Segmentation in CT Scans Using Gaussian Pseudo Variance Level Set.

Lifang Zhou, Lu Wang, Weisheng Li, Bangjun Lei, Jian-Xun Mi, Weibin Yang

IEEE Access, 2021

A Robust and Automatic Recognition Method of Pointer Instruments in Power System.

Jian-Xun Mi, Xu-Dong Wang, Qing-Yun Yang, Xin Deng

Proceedings of the Intelligent Computing Theories and Application, 2021

Exploring Multi-scale Temporal and Spectral CSP Feature for Multi-class Motion Imagination Task Classification.

Jian-Xun Mi, Rong-Feng Li, Guo Chen

Proceedings of the Intelligent Computing Theories and Application, 2021

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

Robust supervised sparse representation for face recognition.

Jian-Xun Mi, Yueru Sun, Jia Lu, Heng Kong

Cogn. Syst. Res., 2020

Review Study of Interpretation Methods for Future Interpretable Machine Learning.

Jian-Xun Mi, An-Di Li, Lifang Zhou

IEEE Access, 2020

SharedNet: A Novel Efficient Convolutional Architecture Based on Group Sharing Convolution.

Jian-Xun Mi, Jie Feng

Proceedings of the Intelligent Computing Theories and Application, 2020

2019

Matrix regression-based classification with block-norm.

Jian-Xun Mi, Quanwei Zhu, Zhiheng Luo

Pattern Recognit. Lett., 2019

Principal Component Analysis based on Nuclear norm Minimization.

Jian-Xun Mi, Ya-Nan Zhang, Zhihui Lai, Weisheng Li, Lifang Zhou, Fujin Zhong

Neural Networks, 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 block-norm minimization.

Jian-Xun Mi, Quanwei Zhu, Jia Lu

Appl. Intell., 2019

Mirror PCA: Exploiting Facial Symmetry for Feature Extraction.

Jian-Xun Mi, Yueru Sun

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Pose-robust face recognition with Huffman-LBP enhanced by Divide-and-Rule strategy.

Lifang Zhou, Yue-Wei Du, Weisheng Li, Jian-Xun Mi, Xiao Luan

Pattern Recognit., 2018

Sparse factorial code representation using independent component analysis for face recognition.

Chao Li, Jian-Xun Mi

Multim. Tools Appl., 2018

Matrix Regression-Based Classification for Face Recognition.

Jian-Xun Mi, Quanwei Zhu, Zhiheng Luo

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Robust Face Recognition Based on Supervised Sparse Representation.

Jian-Xun Mi, Yueru Sun, Jia Lu

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

2017

Double direction matrix based sparse representation for face recognition.

Jian-Xun Mi, Zhiheng Luo, Qiankun Fu, Ailian He

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Adaptive Class Preserving Representation for Image Classification.

Jian-Xun Mi, Qiankun Fu, Weisheng Li

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Random Feature Discriminant for Linear Representation Based Robust Face Recognition.

Jian-Xun Mi, Xiangbin Ma, Qiankun Fu, Chaowei Zhao, Can Long

Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

2016

Robust face recognition via sparse boosting representation.

Tao Liu, Jian-Xun Mi, Ying Liu, Chao Li

Neurocomputing, 2016

Multi-step linear representation-based classification for face recognition.

Jian-Xun Mi, Tao Liu

IET Comput. Vis., 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

Extraction of Independent Components from Sparse Mixture.

Jian-Xun Mi, Cong Li, Chao Li

Proceedings of the Intelligent Computing Theories and Application, 2016

2014

A comparative study and improvement of two ICA using reference signal methods.

Jian-Xun Mi, Yong Xu

Neurocomputing, 2014

Optimal representation set construction with a competitive scheme for palmprint and face recognition.

Jiajun Wen, Jinrong Cui, Zhihui Lai, Jian-Xun Mi, Xiao-Tang Guo

Int. J. Comput. Math., 2014

2013

Using the idea of the sparse representation to perform coarse-to-fine face recognition.

Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai

Inf. Sci., 2013

The nearest-farthest subspace classification for face recognition.

Jian-Xun Mi, De-Shuang Huang, Bing Wang, Xingjie Zhu

Neurocomputing, 2013

Noisy component extraction with reference.

Yongjian Zhao, Hong He, Jian-Xun Mi

Frontiers Comput. Sci., 2013

Robust PCA based method for discovering differentially expressed genes.

Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu

BMC Bioinform., 2013

Sparse Learning for Face Recognition with Social Context.

Jie Gui, Jian-Xun Mi, Ying-Ke Lei, Hong-Qiang Wang

Proceedings of the Intelligence Science and Big Data Engineering, 2013

2012

A Competitive Sample Selection Method for Palmprint Recognition.

Jiajun Wen, Jinrong Cui, Zhihui Lai, Jian-Xun Mi

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Identifying Characteristic Genes Based on Robust Principal Component Analysis.

Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods.

Jian-Xun Mi, Yanxin Yang

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

2011

A New Subspace Approach for Face Recognition.

Jian-Xun Mi

Proceedings of the Bio-Inspired Computing and Applications, 2011

2010

A Method for ICA with Reference Signals.

Jian-Xun Mi, Jie Gui

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

2007

A New Constrained Independent Component Analysis Method.

De-Shuang Huang, Jian-Xun Mi

IEEE Trans. Neural Networks, 2007

2004

Image compression using principal component neural network.

Jian-Xun Mi, De-Shuang Huang

Proceedings of the 8th International Conference on Control, 2004