Jian-Xun Mi

67 papers A* 2C 1Misc 1Journal 44Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring multi-scale time group for common spatial pattern feature based motor imagery EEG classification.
Biomed. Signal Process. Control.
Jian-Xun Mi, Rong-Feng Li, Ke Liu, Weisheng Li
2026 J jnl
IGCDet: Independence guided co-training for sparsely annotated object detection.
Knowl. Based Syst.
Jian-Xun Mi, Jiahui Feng, Haiyang Wang, Yanjun Wu, Ranzhi Zhao, Chang Liu
2026 J jnl
Interpretable object detection via integrated heatmap, concept attribution, and sobol sensitivity analysis.
Inf. Sci.
Muhammad Imran Khalid, Jian-Xun Mi, Ghulam Ali, Tariq Ali, Mohammad Hijji, Muhammad Ayaz, Zia-ur-Rehman
2026 J jnl
Multi-view subspace clustering via tensor nuclear norm factorization.
Pattern Recognit.
Tinghe Yan, Qiang Guo, Jian-Xun Mi, Weisheng Li
2025 J jnl
Directing model attention to the discriminative foreground features.
J. Supercomput.
Jian-Xun Mi, Lu Pan, Qiang Fu, Shenglei Shi, Tao Chen, Xiao Cheng
2025 J jnl
Improving the sparse coding model via hybrid Gaussian priors.
Pattern Recognit.
Lijian Yang, Jian-Xun Mi, Weisheng Li, Guofen Wang, Bin Xiao
2025 — conf
Learning Discriminative Features with VAE-GAN for Zero-Shot Learning.
ICIC (9)
Jian-Xun Mi, Shenglei Shi, Zhonghao Zhang, Chang Liu
2025 J jnl
Rethinking the CNN and transformer for deformable image registration.
Expert Syst. Appl.
Lijian Yang, Weisheng Li, Yucheng Shu, Jian-Xun Mi, Guofen Wang, Feiyan Li, Bin Xiao
2025 J jnl
SimNSD: Similar neighborhood-feature constraint for semi-supervised object detection.
J. Frankl. Inst.
Jian-Xun Mi, Yanjun Wu, Qiyao Liang, Yanyao Huang, Lifang Zhou
2025 J jnl
StealthMask: Highly stealthy adversarial attack on face recognition system.
Appl. Intell.
Jian-Xun Mi, Mingxuan Chen, Tao Chen, Xiao Cheng
2024 J jnl
Adversarial Attacks to Manipulate Target Localization of Object Detector.
IEEE Access
Kai Xu, Xiao Cheng, Ji Qiao, Jia-Teng Li, Kaixuan Ji, Jiayong Zhong, Peng Tian, Jian-Xun Mi
2024 J jnl
An elastic competitive and discriminative collaborative representation method for image classification.
Neural Networks
Jian-Xun Mi, Jianfei Chen, Shijie Yin, Weisheng Li
2024 J jnl
Deep Cross-View Reconstruction GAN Based on Correlated Subspace for Multi-View Transformation.
IEEE Trans. Image Process.
Jian-Xun Mi, Junchang He, Weisheng Li
2024 — conf
Non-targeted Adversarial Attacks on Object Detection Models.
ICIC (9)
Jian-Xun Mi, Xiangjin Zhao, Yongtao Chen, Xiao Cheng, Peng Tian, Xiaohong Lv, Jiayong Zhong
2024 A* conf
ShiftMorph: A Fast and Robust Convolutional Neural Network for 3D Deformable Medical Image Registration.
ACM Multimedia
Lijian Yang, Weisheng Li, Yucheng Shu, Jian-Xun Mi, Yuping Huang, Bin Xiao
2024 J jnl
Toward explainable artificial intelligence: A survey and overview on their intrinsic properties.
Neurocomputing
Jian-Xun Mi, Xilai Jiang, Lin Luo, Yun Gao
2024 Misc conf
Window-Based Convolutional Sparse Coding: Towards A Unified Framework.
ICASSP
Lijian Yang, Jian-Xun Mi, Guofen Wang, Weisheng Li
2023 — conf
A Multi-granularity Decision Fusion Method Based on Category Hierarchy.
ICIC (2)
Jian-Xun Mi, Ke-Yang Huang, Nuo Li
2023 J jnl
Accurate and Robust Eye Center Localization by Deep Voting.
IEEE Trans. Circuits Syst. Video Technol.
Jian-Xun Mi, Yun Gao, Shiyao Yuan, Weisheng Li
2023 J jnl
Adversarial examples based on object detection tasks: A survey.
Neurocomputing
Jian-Xun Mi, Xu-Dong Wang, Lifang Zhou, Kun Cheng
2023 J jnl
Attribute self-representation steered by exclusive lasso for zero-shot learning.
Appl. Intell.
Jian-Xun Mi, Zhonghao Zhang, Debao Tai, Li-Fang Zhou
2023 J jnl
Hierarchical neural network with efficient selection inference.
Neural Networks
Jian-Xun Mi, Nuo Li, Ke-Yang Huang, Weisheng Li, Lifang Zhou
2023 J jnl
Learning exclusive discriminative semantic information for zero-shot learning.
Int. J. Mach. Learn. Cybern.
Jian-Xun Mi, Zhonghao Zhang, Debao Tai, Li-Fang Zhou, Wei Jia
2022 J jnl
Deep cross-view autoencoder network for multi-view learning.
Multim. Tools Appl.
Jian-Xun Mi, Chang-Qing Fu, Tao Chen, Tingting Gou
2022 J jnl
Designing efficient convolutional neural network structure: A survey.
Neurocomputing
Jian-Xun Mi, Jie Feng, Ke-Yang Huang
2022 — conf
Inverse Sparse Object Tracking via Adaptive Representation.
ICIC (3)
Jian-Xun Mi, Yun Gao, Renjie Li
2022 J jnl
Local spatial continuity steered sparse representation for occluded face recognition.
Multim. Tools Appl.
Jian-Xun Mi, Qiang Huang, Lifang Zhou
2021 J jnl
A Lightweight SE-YOLOv3 Network for Multi-Scale Object Detection in Remote Sensing Imagery.
Int. J. Pattern Recognit. Artif. Intell.
Lifang Zhou, Guang Deng, Weisheng Li, Jian-Xun Mi, Bangjun Lei
2021 — conf
A Robust and Automatic Recognition Method of Pointer Instruments in Power System.
ICIC (1)
Jian-Xun Mi, Xu-Dong Wang, Qing-Yun Yang, Xin Deng
2021 — conf
Exploring Multi-scale Temporal and Spectral CSP Feature for Multi-class Motion Imagination Task Classification.
ICIC (3)
Jian-Xun Mi, Rong-Feng Li, Guo Chen
2021 J jnl
IoU-guided Siamese region proposal network for real-time visual tracking.
Neurocomputing
Lifang Zhou, Yu He, Weisheng Li, Jian-Xun Mi, Bangjun Lei
2021 J jnl
Multi-Stage Liver Segmentation in CT Scans Using Gaussian Pseudo Variance Level Set.
IEEE Access
Lifang Zhou, Lu Wang, Weisheng Li, Bangjun Lei, Jian-Xun Mi, Weibin Yang
2021 J jnl
Symmetrical feature extraction via novel Mirror PCA.
Neurocomputing
Jian-Xun Mi, Lijian Yang, Lifang Zhou, Yueru Sun, Heng Kong
2020 J jnl
Generalized two-dimensional PCA based on ℓ
Int. J. Mach. Learn. Cybern.
Jian-Xun Mi, Ya-Nan Zhang, Yong Li, Yucheng Shu
2020 J jnl
Review Study of Interpretation Methods for Future Interpretable Machine Learning.
IEEE Access
Jian-Xun Mi, An-Di Li, Lifang Zhou
2020 J jnl
Robust supervised sparse representation for face recognition.
Cogn. Syst. Res.
Jian-Xun Mi, Yueru Sun, Jia Lu, Heng Kong
2020 — conf
SharedNet: A Novel Efficient Convolutional Architecture Based on Group Sharing Convolution.
ICIC (1)
Jian-Xun Mi, Jie Feng
2019 J jnl
Bilateral structure based matrix regression classification for face recognition.
Neurocomputing
Jian-Xun Mi, Zhiheng Luo, Lifang Zhou, Fujin Zhong
2019 J jnl
Matrix regression-based classification with block-norm.
Pattern Recognit. Lett.
Jian-Xun Mi, Quanwei Zhu, Zhiheng Luo
2019 — conf
Mirror PCA: Exploiting Facial Symmetry for Feature Extraction.
ICIC (1)
Jian-Xun Mi, Yueru Sun
2019 J jnl
Principal Component Analysis based on Nuclear norm Minimization.
Neural Networks
Jian-Xun Mi, Ya-Nan Zhang, Zhihui Lai, Weisheng Li, Lifang Zhou, Fujin Zhong
2019 J jnl
Principal component analysis based on block-norm minimization.
Appl. Intell.
Jian-Xun Mi, Quanwei Zhu, Jia Lu
2018 — conf
Matrix Regression-Based Classification for Face Recognition.
S+SSPR
Jian-Xun Mi, Quanwei Zhu, Zhiheng Luo
2018 J jnl
Pose-robust face recognition with Huffman-LBP enhanced by Divide-and-Rule strategy.
Pattern Recognit.
Lifang Zhou, Yue-Wei Du, Weisheng Li, Jian-Xun Mi, Xiao Luan
2018 — conf
Robust Face Recognition Based on Supervised Sparse Representation.
ICIC (3)
Jian-Xun Mi, Yueru Sun, Jia Lu
2018 J jnl
Sparse factorial code representation using independent component analysis for face recognition.
Multim. Tools Appl.
Chao Li, Jian-Xun Mi
2017 A* conf
Adaptive Class Preserving Representation for Image Classification.
CVPR
Jian-Xun Mi, Qiankun Fu, Weisheng Li
2017 — conf
Double direction matrix based sparse representation for face recognition.
SPAC
Jian-Xun Mi, Zhiheng Luo, Qiankun Fu, Ailian He
2017 — conf
Random Feature Discriminant for Linear Representation Based Robust Face Recognition.
CCBR
Jian-Xun Mi, Xiangbin Ma, Qiankun Fu, Chaowei Zhao, Can Long
2016 J jnl
A Human Visual Experience-Inspired Similarity Metric for Face Recognition Under Occlusion.
Cogn. Comput.
Jian-Xun Mi, Chao Li, Cong Li, Tao Liu, Ying Liu
2016 — conf
Extraction of Independent Components from Sparse Mixture.
ICIC (2)
Jian-Xun Mi, Cong Li, Chao Li
2016 J jnl
Multi-step linear representation-based classification for face recognition.
IET Comput. Vis.
Jian-Xun Mi, Tao Liu
2016 J jnl
Robust face recognition via sparse boosting representation.
Neurocomputing
Tao Liu, Jian-Xun Mi, Ying Liu, Chao Li
2014 J jnl
A comparative study and improvement of two ICA using reference signal methods.
Neurocomputing
Jian-Xun Mi, Yong Xu
2014 J jnl
Optimal representation set construction with a competitive scheme for palmprint and face recognition.
Int. J. Comput. Math.
Jiajun Wen, Jinrong Cui, Zhihui Lai, Jian-Xun Mi, Xiao-Tang Guo
2013 J jnl
Noisy component extraction with reference.
Frontiers Comput. Sci.
Yongjian Zhao, Hong He, Jian-Xun Mi
2013 J jnl
Robust PCA based method for discovering differentially expressed genes.
BMC Bioinform.
Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu
2013 — conf
Sparse Learning for Face Recognition with Social Context.
IScIDE
Jie Gui, Jian-Xun Mi, Ying-Ke Lei, Hong-Qiang Wang
2013 J jnl
The nearest-farthest subspace classification for face recognition.
Neurocomputing
Jian-Xun Mi, De-Shuang Huang, Bing Wang, Xingjie Zhu
2013 J jnl
Using the idea of the sparse representation to perform coarse-to-fine face recognition.
Inf. Sci.
Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai
2012 — conf
A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods.
ICIC (3)
Jian-Xun Mi, Yanxin Yang
2012 — conf
A Competitive Sample Selection Method for Palmprint Recognition.
IScIDE
Jiajun Wen, Jinrong Cui, Zhihui Lai, Jian-Xun Mi
2012 — conf
Identifying Characteristic Genes Based on Robust Principal Component Analysis.
ICIC (3)
Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu
2011 — conf
A New Subspace Approach for Face Recognition.
ICIC (3)
Jian-Xun Mi
2010 — conf
A Method for ICA with Reference Signals.
ICIC (2)
Jian-Xun Mi, Jie Gui
2007 J jnl
A New Constrained Independent Component Analysis Method.
IEEE Trans. Neural Networks
De-Shuang Huang, Jian-Xun Mi
2004 C conf
Image compression using principal component neural network.
ICARCV
Jian-Xun Mi, De-Shuang Huang