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ORCIDJian-Xun Mi
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- affiliation: Chongqing University of Posts and Telecommunications, China
- affiliation: Shenzhen University, China
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2020 – today
- 2025
[j35]Lijian Yang
, Jian-Xun Mi, Weisheng Li, Guofen Wang, Bin Xiao:
Improving the sparse coding model via hybrid Gaussian priors. Pattern Recognit. 159: 111102 (2025)- 2024
- [j34]Jian-Xun Mi, Xilai Jiang, Lin Luo, Yun Gao:
Toward explainable artificial intelligence: A survey and overview on their intrinsic properties. Neurocomputing 563: 126919 (2024) - [j33]Jian-Xun Mi, Jianfei Chen, Shijie Yin, Weisheng Li:
An elastic competitive and discriminative collaborative representation method for image classification. Neural Networks 174: 106231 (2024) - [j32]Jian-Xun Mi, Junchang He, Weisheng Li:
Deep Cross-View Reconstruction GAN Based on Correlated Subspace for Multi-View Transformation. IEEE Trans. Image Process. 33: 4614-4626 (2024) - [c22]Lijian Yang, Jian-Xun Mi, Guofen Wang, Weisheng Li:
Window-Based Convolutional Sparse Coding: Towards A Unified Framework. ICASSP 2024: 2755-2759 - [c21]Jian-Xun Mi, Xiangjin Zhao, Yongtao Chen, Xiao Cheng, Peng Tian, Xiaohong Lv, Jiayong Zhong:
Non-targeted Adversarial Attacks on Object Detection Models. ICIC (9) 2024: 3-12 - [c20]Lijian Yang, Weisheng Li, Yucheng Shu, Jian-Xun Mi, Yuping Huang, Bin Xiao:
ShiftMorph: A Fast and Robust Convolutional Neural Network for 3D Deformable Medical Image Registration. ACM Multimedia 2024: 2814-2823 - 2023
- [j31]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): 3095-3108 (2023) - [j30]Jian-Xun Mi, Xu-Dong Wang, Lifang Zhou, Kun Cheng:
Adversarial examples based on object detection tasks: A survey. Neurocomputing 519: 114-126 (2023) - [j29]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): 761-772 (2023) - [j28]Jian-Xun Mi, Nuo Li, Ke-Yang Huang, Weisheng Li, Lifang Zhou:
Hierarchical neural network with efficient selection inference. Neural Networks 161: 535-549 (2023) - [j27]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): 4070-4082 (2023) - [c19]Jian-Xun Mi, Ke-Yang Huang, Nuo Li:
A Multi-granularity Decision Fusion Method Based on Category Hierarchy. ICIC (2) 2023: 149-161 - 2022
- [j26]Jian-Xun Mi, Jie Feng, Ke-Yang Huang:
Designing efficient convolutional neural network structure: A survey. Neurocomputing 489: 139-156 (2022) - [j25]Jian-Xun Mi, Chang-Qing Fu, Tao Chen, Tingting Gou:
Deep cross-view autoencoder network for multi-view learning. Multim. Tools Appl. 81(17): 24645-24664 (2022) - [j24]Jian-Xun Mi, Qiang Huang, Lifang Zhou:
Local spatial continuity steered sparse representation for occluded face recognition. Multim. Tools Appl. 81(18): 25147-25170 (2022) - [c18]Jian-Xun Mi, Yun Gao, Renjie Li:
Inverse Sparse Object Tracking via Adaptive Representation. ICIC (3) 2022: 353-366 - 2021
- [j23]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: 101414-101423 (2021) - [j22]Jian-Xun Mi, Lijian Yang, Lifang Zhou, Yueru Sun, Heng Kong:
Symmetrical feature extraction via novel Mirror PCA. Neurocomputing 452: 690-704 (2021) - [j21]Lifang Zhou, Yu He, Weisheng Li, Jian-Xun Mi, Bangjun Lei:
IoU-guided Siamese region proposal network for real-time visual tracking. Neurocomputing 462: 544-554 (2021) - [j20]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): 2150037:1-2150037:21 (2021) - [c17]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: 174-184 - [c16]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: 223-237 - 2020
- [j19]Jian-Xun Mi, An-Di Li, Lifang Zhou:
Review Study of Interpretation Methods for Future Interpretable Machine Learning. IEEE Access 8: 191969-191985 (2020) - [j18]Jian-Xun Mi, Yueru Sun, Jia Lu, Heng Kong:
Robust supervised sparse representation for face recognition. Cogn. Syst. Res. 62: 10-22 (2020) - [j17]Jian-Xun Mi, Ya-Nan Zhang, Yong Li, Yucheng Shu:
Generalized two-dimensional PCA based on ℓ 2, p-norm minimization. Int. J. Mach. Learn. Cybern. 11(11): 2421-2438 (2020) - [c15]Jian-Xun Mi, Jie Feng:
SharedNet: A Novel Efficient Convolutional Architecture Based on Group Sharing Convolution. ICIC (1) 2020: 128-139
2010 – 2019
- 2019
- [j16]Jian-Xun Mi, Quanwei Zhu, Jia Lu:
Principal component analysis based on block-norm minimization. Appl. Intell. 49(6): 2169-2177 (2019) - [j15]Jian-Xun Mi, Zhiheng Luo, Lifang Zhou, Fujin Zhong:
Bilateral structure based matrix regression classification for face recognition. Neurocomputing 348: 107-119 (2019) - [j14]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: 1-16 (2019) - [j13]Jian-Xun Mi, Quanwei Zhu, Zhiheng Luo:
Matrix regression-based classification with block-norm. Pattern Recognit. Lett. 125: 654-660 (2019) - [c14]Jian-Xun Mi, Yueru Sun:
Mirror PCA: Exploiting Facial Symmetry for Feature Extraction. ICIC (1) 2019: 284-295 - 2018
- [j12]Chao Li, Jian-Xun Mi:
Sparse factorial code representation using independent component analysis for face recognition. Multim. Tools Appl. 77(16): 21371-21392 (2018) - [j11]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: 43-55 (2018) - [c13]Jian-Xun Mi, Yueru Sun, Jia Lu:
Robust Face Recognition Based on Supervised Sparse Representation. ICIC (3) 2018: 253-259 - [c12]Jian-Xun Mi, Quanwei Zhu, Zhiheng Luo:
Matrix Regression-Based Classification for Face Recognition. S+SSPR 2018: 357-366 - 2017
- [c11]Jian-Xun Mi, Xiangbin Ma, Qiankun Fu, Chaowei Zhao, Can Long:
Random Feature Discriminant for Linear Representation Based Robust Face Recognition. CCBR 2017: 40-47 - [c10]Jian-Xun Mi, Qiankun Fu, Weisheng Li:
Adaptive Class Preserving Representation for Image Classification. CVPR 2017: 2624-2632 - [c9]Jian-Xun Mi, Zhiheng Luo, Qiankun Fu, Ailian He:
Double direction matrix based sparse representation for face recognition. SPAC 2017: 660-665 - 2016
- [j10]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): 818-827 (2016) - [j9]Jian-Xun Mi, Tao Liu:
Multi-step linear representation-based classification for face recognition. IET Comput. Vis. 10(8): 836-841 (2016) - [j8]Tao Liu, Jian-Xun Mi, Ying Liu, Chao Li:
Robust face recognition via sparse boosting representation. Neurocomputing 214: 944-957 (2016) - [c8]Jian-Xun Mi, Cong Li, Chao Li:
Extraction of Independent Components from Sparse Mixture. ICIC (2) 2016: 41-51 - 2014
- [j7]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): 2341-2358 (2014) - [j6]Jian-Xun Mi, Yong Xu:
A comparative study and improvement of two ICA using reference signal methods. Neurocomputing 137: 157-164 (2014) - 2013
- [j5]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): S3 (2013) - [j4]Yongjian Zhao, Hong He, Jian-Xun Mi:
Noisy component extraction with reference. Frontiers Comput. Sci. 7(1): 135-144 (2013) - [j3]Jian-Xun Mi, De-Shuang Huang, Bing Wang, Xingjie Zhu:
The nearest-farthest subspace classification for face recognition. Neurocomputing 113: 241-250 (2013) - [j2]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: 138-148 (2013) - [c7]Jie Gui, Jian-Xun Mi, Ying-Ke Lei, Hong-Qiang Wang:
Sparse Learning for Face Recognition with Social Context. IScIDE 2013: 820-826 - 2012
- [c6]Jian-Xun Mi, Yanxin Yang:
A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods. ICIC (3) 2012: 93-99 - [c5]Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu:
Identifying Characteristic Genes Based on Robust Principal Component Analysis. ICIC (3) 2012: 174-179 - [c4]Jiajun Wen, Jinrong Cui, Zhihui Lai, Jian-Xun Mi:
A Competitive Sample Selection Method for Palmprint Recognition. IScIDE 2012: 158-164 - 2011
- [c3]Jian-Xun Mi:
A New Subspace Approach for Face Recognition. ICIC (3) 2011: 551-557 - 2010
- [c2]Jian-Xun Mi, Jie Gui:
A Method for ICA with Reference Signals. ICIC (2) 2010: 156-162
2000 – 2009
- 2007
- [j1]De-Shuang Huang, Jian-Xun Mi:
A New Constrained Independent Component Analysis Method. IEEE Trans. Neural Networks 18(5): 1532-1535 (2007) - 2004
- [c1]Jian-Xun Mi, De-Shuang Huang:
Image compression using principal component neural network. ICARCV 2004: 698-701
Coauthor Index
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