Jie Zhou

According to our database, Jie Zhou authored at least 78 papers between 2009 and 2024.

Collaborative distances:

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

2024

OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning.

Yuting Zhou, Can Gao, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Fuzzy Clustering Guided by Spectral Rotation and Scaling.

Jie Zhou, Ge Yuan, Can Gao, Xizhao Wang, Jianhua Dai, Witold Pedrycz

IEEE Trans. Cybern., November, 2024

Hierarchical Sequential Three-Way Multiattribute Decision-Making Method Based on Regret Theory in Multiscale Fuzzy Decision Systems.

Jin Qian, Yuehua Lu, Ying Yu, Jie Zhou, Duoqian Miao

IEEE Trans. Fuzzy Syst., September, 2024

Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning.

Jie Zhou, Can Gao, Xizhao Wang, Zhihui Lai, Jun Wan, Xiaodong Yue

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement.

Xu Wu, Zhihui Lai, Shiqi Yu, Jie Zhou, Zhuoqian Liang, Linlin Shen

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning.

Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Kwok-Wai Hung

IEEE Trans. Cybern., January, 2024

GFDC: A granule fusion density-based clustering with evidential reasoning.

Mingjie Cai, Zhishan Wu, Qingguo Li, Feng Xu, Jie Zhou

Int. J. Approx. Reason., January, 2024

Analysis of core attribute and approximate reduct based on the three-way decision.

Can Gao, Zhicheng Wang, Jie Zhou, Hang Zeng, Xiaodong Yue

Appl. Soft Comput., January, 2024

Robust Self-expression Learning with Adaptive Noise Perception.

Yangbo Wang, Jie Zhou, Jianglin Lu, Jun Wan, Can Gao, Qingshui Lin

Pattern Recognit., 2024

Multi-granularity Cross Transformer Network for person re-identification.

Yanping Li, Duoqian Miao, Hongyun Zhang, Jie Zhou, Cairong Zhao

Pattern Recognit., 2024

Unsupervised fabric defect detection with high-frequency feature mapping.

Da Wan, Can Gao, Jie Zhou, Xinrui Shen, Linlin Shen

Multim. Tools Appl., 2024

LPRR: Locality preserving robust regression based jointly sparse feature extraction.

Yufei Zhu, Jiajun Wen, Zhihui Lai, Jie Zhou, Heng Kong

Inf. Sci., 2024

A joint learning framework for optimal feature extraction and multi-class SVM.

Zhihui Lai, Guangfei Liang, Jie Zhou, Heng Kong, Yuwu Lu

Inf. Sci., 2024

Weighted Subspace Fuzzy Clustering with Adaptive Projection.

Jie Zhou, Chucheng Huang, Can Gao, Yangbo Wang, Xinrui Shen, Xu Wu

Int. J. Intell. Syst., 2024

Robust weighted fuzzy margin-based feature selection with three-way decision.

Zhenxi Chen, Gong Chen, Can Gao, Jie Zhou, Jiajun Wen

Int. J. Approx. Reason., 2024

Low-Light Enhancement Effect on Classification and Detection: An Empirical Study.

Xu Wu, Zhihui Lai, Jie Zhou, Can Gao, Xianxu Hou, Ya-nan Zhang, Linlin Shen

CoRR, 2024

CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement.

Xu Wu, Xianxu Hou, Zhihui Lai, Jie Zhou, Ya-nan Zhang, Witold Pedrycz, Linlin Shen

CoRR, 2024

NPSVC++: Nonparallel Classifiers Encounter Representation Learning.

Junhong Zhang, Zhihui Lai, Jie Zhou, Guangfei Liang

CoRR, 2024

Connection density based clustering: A graph-based denshttps://doi.org/10.1016/j.asoc.2024.111779ity clustering method.

Feng Xu, Mingjie Cai, Qingguo Li, Jie Zhou, Hamido Fujita

Appl. Soft Comput., 2024

Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data.

Linchao Pan, Can Gao, Jie Zhou, Gong Chen, Xiaodong Yue

Appl. Soft Comput., 2024

2023

Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning.

Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai

IEEE Trans. Emerg. Top. Comput. Intell., December, 2023

Generalized multiview regression for feature extraction.

Zhihui Lai, Yiling Lin, Jiacan Zheng, Jie Zhou, Heng Kong

Inf. Sci., November, 2023

Three-way decision-based co-detection for outliers.

Xiaofeng Tan, Can Gao, Jie Zhou, Jiajun Wen

Int. J. Approx. Reason., September, 2023

Scatter matrix decomposition for jointly sparse learning.

Dongmei Mo, Zhihui Lai, Jie Zhou, Qinghua Hu

Pattern Recognit., August, 2023

Rough sets-based tri-trade for partially labeled data.

Ziming Luo, Can Gao, Jie Zhou

Appl. Intell., July, 2023

Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network.

Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun

IEEE Trans. Cybern., June, 2023

Multiview Jointly Sparse Discriminant Common Subspace Learning.

Yiling Lin, Zhihui Lai, Jie Zhou, Jiajun Wen, Heng Kong

Pattern Recognit., June, 2023

Low-Rank Linear Embedding for Robust Clustering.

Jie Zhou, Witold Pedrycz, Jun Wan, Can Gao, Zhihui Lai, Xiaodong Yue

IEEE Trans. Knowl. Data Eng., May, 2023

Precise Facial Landmark Detection by Reference Heatmap Transformer.

Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min

IEEE Trans. Image Process., 2023

SSC-l₀: Sparse Subspace Clustering with the l₀ Inequality Constraint.

Yangbo Wang, Jie Zhou, Qingshui Lin, Jianglin Lu, Can Gao

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks.

Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao

IEEE Trans. Neural Networks Learn. Syst., 2022

Generalized Embedding Regression: A Framework for Supervised Feature Extraction.

Jianglin Lu, Zhihui Lai, Hailing Wang, Yudong Chen, Jie Zhou, Linlin Shen

IEEE Trans. Neural Networks Learn. Syst., 2022

Discriminative Invariant Alignment for Unsupervised Domain Adaptation.

Yuwu Lu, Desheng Li, Wenjing Wang, Zhihui Lai, Jie Zhou, Xuelong Li

IEEE Trans. Multim., 2022

Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation.

Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Jun Wan, Zhong Ming

IEEE Trans. Fuzzy Syst., 2022

Global structure-guided neighborhood preserving embedding for dimensionality reduction.

Can Gao, Yong Li, Jie Zhou, Witold Pedrycz, Zhihui Lai, Jun Wan, Jianglin Lu

Int. J. Mach. Learn. Cybern., 2022

Three-way decision-based tri-training with entropy minimization.

Linchao Pan, Can Gao, Jie Zhou

Inf. Sci., 2022

Deep asymmetric hashing with dual semantic regression and class structure quantization.

Jianglin Lu, Hailing Wang, Jie Zhou, Mengfan Yan, Jiajun Wen

Inf. Sci., 2022

Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning.

Yangbo Wang, Can Gao, Jie Zhou

Neurocomputing, 2022

Parameterized maximum-entropy-based three-way approximate attribute reduction.

Can Gao, Jie Zhou, Jinming Xing, Xiaodong Yue

Int. J. Approx. Reason., 2022

Three-way approximate reduct based on information-theoretic measure.

Can Gao, Zhicheng Wang, Jie Zhou

Int. J. Approx. Reason., 2022

Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning.

Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Zhihui Lai, Kwok-Wai Hung

CoRR, 2022

Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis.

Jinming Xing, Can Gao, Jie Zhou

Appl. Soft Comput., 2022

Accelerated multi-granularity reduction based on neighborhood rough sets.

Yizhu Li, Mingjie Cai, Jie Zhou, Qingguo Li

Appl. Intell., 2022

Rough-Fuzzy Clustering Based on Adaptive Weighted Values and Three-Way Decisions.

Ge Yuan, Jie Zhou, Qiongbin Chen

Proceedings of the Rough Sets - International Joint Conference, 2022

2021

Robust Face Alignment by Multi-Order High-Precision Hourglass Network.

Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao

IEEE Trans. Image Process., 2021

Weighted Double-Low-Rank Decomposition With Application to Fabric Defect Detection.

Dongmei Mo, Wai Keung Wong, Zhihui Lai, Jie Zhou

IEEE Trans Autom. Sci. Eng., 2021

Projected fuzzy C-means clustering with locality preservation.

Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao, Zhihui Lai, Jun Wan

Pattern Recognit., 2021

Low-rank adaptive graph embedding for unsupervised feature extraction.

Jianglin Lu, Hailing Wang, Jie Zhou, Yudong Chen, Zhihui Lai, Qinghua Hu

Pattern Recognit., 2021

Robust facial landmark detection by cross-order cross-semantic deep network.

Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou

Neural Networks, 2021

Target redirected regression with dynamic neighborhood structure.

Jianglin Lu, Jingxu Lin, Zhihui Lai, Hailing Wang, Jie Zhou

Inf. Sci., 2021

Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels.

Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan

Inf. Sci., 2021

Three-way decision with co-training for partially labeled data.

Can Gao, Jie Zhou, Duoqian Miao, Jiajun Wen, Xiaodong Yue

Inf. Sci., 2021

Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning.

Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Xiaodong Yue

Fuzzy Sets Syst., 2021

Local Learning Joint with the Adaptive Graph for Subspace Representation.

Yangbo Wang, Can Gao, Jie Zhou, Zhihui Lai

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Low-Rank Correlation Analysis for Discriminative Subspace Learning.

Jiacan Zheng, Zhihui Lai, Jianglin Lu, Jie Zhou

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Fast Deep Asymmetric Hashing for Image Retrieval.

Chuangquan Lin, Zhihui Lai, Jianglin Lu, Jie Zhou

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020

Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification.

Xiaodong Yue, Jie Zhou, Yiyu Yao, Duoqian Miao

IEEE Trans. Fuzzy Syst., 2020

Multigranulation rough-fuzzy clustering based on shadowed sets.

Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue

Inf. Sci., 2020

Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks.

Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao

CoRR, 2020

Label Self-Adaption Hashing for Image Retrieval.

Jianglin Lu, Zhihui Lai, Jingxu Lin, Qinghong Lin, Jie Zhou

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Clustering Ensemble Selection with Analytic Hierarchy Process.

Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance.

Jie Zhou, Duoqian Miao, Can Gao, Zhihui Lai, Xiaodong Yue

Inf. Sci., 2019

Constrained shadowed sets and fast optimization algorithm.

Jie Zhou, Can Gao, Witold Pedrycz, Zhihui Lai, Xiaodong Yue

Int. J. Intell. Syst., 2019

Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction.

Can Gao, Zhihui Lai, Jie Zhou, Jiajun Wen, Wai Keung Wong

Int. J. Approx. Reason., 2019

Clustering Ensemble Selection with Determinantal Point Processes.

Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets.

Jie Zhou, Zhihui Lai, Can Gao, Duoqian Miao, Xiaodong Yue

Knowl. Based Syst., 2018

Maximum decision entropy-based attribute reduction in decision-theoretic rough set model.

Can Gao, Zhihui Lai, Jie Zhou, Cairong Zhao, Duoqian Miao

Knowl. Based Syst., 2018

Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations.

Jie Zhou, Zhihui Lai, Can Gao, Xiaodong Yue, Wai Keung Wong

IEEE Access, 2018

2017

Efficient Neighborhood Covering Reduction with Submodular Function Optimization.

Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2012

Bayesian rough set model: A further investigation.

Hongyun Zhang, Jie Zhou, Duoqian Miao, Can Gao

Int. J. Approx. Reason., 2012

2011

Analysis of alternative objective functions for attribute reduction in complete decision tables.

Jie Zhou, Duoqian Miao, Witold Pedrycz, Hongyun Zhang

Soft Comput., 2011

β-Interval attribute reduction in variable precision rough set model.

Jie Zhou, Duoqian Miao

Soft Comput., 2011

Shadowed sets in the characterization of rough-fuzzy clustering.

Jie Zhou, Witold Pedrycz, Duoqian Miao

Pattern Recognit., 2011

2010

A novel measure of knowledge granularity in rough sets.

Qinrong Feng, Duoqian Miao, Jie Zhou, Yi Cheng

Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010

Two novel feature selection methods based on decomposition and composition.

Na Jiao, Duoqian Miao, Jie Zhou

Expert Syst. Appl., 2010

2009

Research of reduct features in the variable precision rough set model.

Jia-yang Wang, Jie Zhou

Neurocomputing, 2009

Research on Complete Algorithms for Minimal Attribute Reduction.

Jie Zhou, Duoqian Miao, Qinrong Feng, Lijun Sun

Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Maximum condition entropy based attribute reduction in variable precision rough set model.

Can Gao, Duoqian Miao, Jie Zhou

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009