Jian-Xun Mi

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 37

Top Topics

Face Recognition

Top Venues

Multim. Tools Appl.

Publications

Jian-Xun Mi, Xilai Jiang, Lin Luo, Yun Gao
Toward explainable artificial intelligence: A survey and overview on their intrinsic properties. Neurocomputing 563 (2024)
Jian-Xun Mi, Nuo Li, Ke-Yang Huang, Weisheng Li, Lifang Zhou
Hierarchical neural network with efficient selection inference. Neural Networks 161 (2023)
Jian-Xun Mi, Zhonghao Zhang, Debao Tai, Li-Fang Zhou, Wei Jia
Learning exclusive discriminative semantic information for zero-shot learning. Int. J. Mach. Learn. Cybern. 14 (3) (2023)
Jian-Xun Mi, Zhonghao Zhang, Debao Tai, Li-Fang Zhou
Attribute self-representation steered by exclusive lasso for zero-shot learning. Appl. Intell. 53 (3) (2023)
Jian-Xun Mi, Xu-Dong Wang, Lifang Zhou, Kun Cheng
Adversarial examples based on object detection tasks: A survey. Neurocomputing 519 (2023)
Jian-Xun Mi, Yun Gao, Shiyao Yuan, Weisheng Li
Accurate and Robust Eye Center Localization by Deep Voting. IEEE Trans. Circuits Syst. Video Technol. 33 (8) (2023)
Jian-Xun Mi, Ke-Yang Huang, Nuo Li
A Multi-granularity Decision Fusion Method Based on Category Hierarchy. ICIC (2) (2023)
Jian-Xun Mi, Yun Gao, Renjie Li
Inverse Sparse Object Tracking via Adaptive Representation. ICIC (3) (2022)
Jian-Xun Mi, Chang-Qing Fu, Tao Chen, Tingting Gou
Deep cross-view autoencoder network for multi-view learning. Multim. Tools Appl. 81 (17) (2022)
Jian-Xun Mi, Qiang Huang, Lifang Zhou
Local spatial continuity steered sparse representation for occluded face recognition. Multim. Tools Appl. 81 (18) (2022)
Jian-Xun Mi, Jie Feng, Ke-Yang Huang
Designing efficient convolutional neural network structure: A survey. Neurocomputing 489 (2022)
Jian-Xun Mi, Li-Jian Yang, Lifang Zhou, Yueru Sun, Heng Kong
Symmetrical feature extraction via novel Mirror PCA. Neurocomputing 452 (2021)
Jian-Xun Mi, Xu-Dong Wang, Qing-Yun Yang, Xin Deng
A Robust and Automatic Recognition Method of Pointer Instruments in Power System. ICIC (1) (2021)
Lifang Zhou, Lu Wang, Weisheng Li, Bangjun Lei, Jian-Xun Mi, Weibin Yang
Multi-Stage Liver Segmentation in CT Scans Using Gaussian Pseudo Variance Level Set. IEEE Access 9 (2021)
Lifang Zhou, Yu He, Weisheng Li, Jian-Xun Mi, Bangjun Lei
IoU-guided Siamese region proposal network for real-time visual tracking. Neurocomputing 462 (2021)
Jian-Xun Mi, Rong-Feng Li, Guo Chen
Exploring Multi-scale Temporal and Spectral CSP Feature for Multi-class Motion Imagination Task Classification. ICIC (3) (2021)
Lifang Zhou, Guang Deng, Weisheng Li, Jian-Xun Mi, Bangjun Lei
A Lightweight SE-YOLOv3 Network for Multi-Scale Object Detection in Remote Sensing Imagery. Int. J. Pattern Recognit. Artif. Intell. 35 (13) (2021)
Jian-Xun Mi, Yueru Sun, Jia Lu, Heng Kong
Robust supervised sparse representation for face recognition. Cogn. Syst. Res. 62 (2020)
Jian-Xun Mi, An-Di Li, Lifang Zhou
Review Study of Interpretation Methods for Future Interpretable Machine Learning. IEEE Access 8 (2020)
Jian-Xun Mi, Ya-Nan Zhang, Yong Li, Yucheng Shu
-norm minimization. Int. J. Mach. Learn. Cybern. 11 (11) (2020)
Jian-Xun Mi, Jie Feng
SharedNet: A Novel Efficient Convolutional Architecture Based on Group Sharing Convolution. ICIC (1) (2020)
Jian-Xun Mi, Zhiheng Luo, Lifang Zhou, Fujin Zhong
Bilateral structure based matrix regression classification for face recognition. Neurocomputing 348 (2019)
Jian-Xun Mi, Yueru Sun
Mirror PCA: Exploiting Facial Symmetry for Feature Extraction. ICIC (1) (2019)
Jian-Xun Mi, Quanwei Zhu, Zhiheng Luo
Matrix regression-based classification with block-norm. Pattern Recognit. Lett. 125 (2019)
Jian-Xun Mi, Ya-Nan Zhang, Zhihui Lai, Weisheng Li, Lifang Zhou, Fujin Zhong
Principal Component Analysis based on Nuclear norm Minimization. Neural Networks 118 (2019)
Jian-Xun Mi, Quanwei Zhu, Jia Lu
Principal component analysis based on block-norm minimization. Appl. Intell. 49 (6) (2019)
Jian-Xun Mi, Quanwei Zhu, Zhiheng Luo
Matrix Regression-Based Classification for Face Recognition. S+SSPR (2018)
Chao Li, Jian-Xun Mi
Sparse factorial code representation using independent component analysis for face recognition. Multim. Tools Appl. 77 (16) (2018)
Lifang Zhou, Yue-Wei Du, Weisheng Li, Jian-Xun Mi, Xiao Luan
Pose-robust face recognition with Huffman-LBP enhanced by Divide-and-Rule strategy. Pattern Recognit. 78 (2018)
Jian-Xun Mi, Yueru Sun, Jia Lu
Robust Face Recognition Based on Supervised Sparse Representation. ICIC (3) (2018)
Jian-Xun Mi, Qiankun Fu, Weisheng Li
Adaptive Class Preserving Representation for Image Classification. CVPR (2017)
Jian-Xun Mi, Zhiheng Luo, Qiankun Fu, Ailian He
Double direction matrix based sparse representation for face recognition. SPAC (2017)
Jian-Xun Mi, Xiangbin Ma, Qiankun Fu, Chaowei Zhao, Can Long
Random Feature Discriminant for Linear Representation Based Robust Face Recognition. CCBR (2017)
Tao Liu, Jian-Xun Mi, Ying Liu, Chao Li
Robust face recognition via sparse boosting representation. Neurocomputing 214 (2016)
Jian-Xun Mi, Cong Li, Chao Li
Extraction of Independent Components from Sparse Mixture. ICIC (2) (2016)
Jian-Xun Mi, Tao Liu
Multi-step linear representation-based classification for face recognition. IET Comput. Vis. 10 (8) (2016)
Jian-Xun Mi, Chao Li, Cong Li, Tao Liu, Ying Liu
A Human Visual Experience-Inspired Similarity Metric for Face Recognition Under Occlusion. Cogn. Comput. 8 (5) (2016)
Jian-Xun Mi, Yong Xu
A comparative study and improvement of two ICA using reference signal methods. Neurocomputing 137 (2014)
Jiajun Wen, Jinrong Cui, Zhihui Lai, Jian-Xun Mi, Xiao-Tang Guo
Optimal representation set construction with a competitive scheme for palmprint and face recognition. Int. J. Comput. Math. 91 (11) (2014)
Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu
Robust PCA based method for discovering differentially expressed genes. BMC Bioinform. 14 (S-8) (2013)
Jian-Xun Mi, De-Shuang Huang, Bing Wang, Xingjie Zhu
The nearest-farthest subspace classification for face recognition. Neurocomputing 113 (2013)
Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai
Using the idea of the sparse representation to perform coarse-to-fine face recognition. Inf. Sci. 238 (2013)
Jie Gui, Jian-Xun Mi, Ying-Ke Lei, Hong-Qiang Wang
Sparse Learning for Face Recognition with Social Context. IScIDE (2013)
Yongjian Zhao, Hong He, Jian-Xun Mi
Noisy component extraction with reference. Frontiers Comput. Sci. 7 (1) (2013)
Jian-Xun Mi, Yanxin Yang
A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods. ICIC (3) (2012)
Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu
Identifying Characteristic Genes Based on Robust Principal Component Analysis. ICIC (3) (2012)
Jiajun Wen, Jinrong Cui, Zhihui Lai, Jian-Xun Mi
A Competitive Sample Selection Method for Palmprint Recognition. IScIDE (2012)
Jian-Xun Mi
A New Subspace Approach for Face Recognition. ICIC (3) (2011)
Jian-Xun Mi, Jie Gui
A Method for ICA with Reference Signals. ICIC (2) (2010)
De-Shuang Huang, Jian-Xun Mi
A New Constrained Independent Component Analysis Method. IEEE Trans. Neural Networks 18 (5) (2007)
Jian-Xun Mi, De-Shuang Huang
Image compression using principal component neural network. ICARCV (2004)