Jie Zhou

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 68

Top Topics

Unsupervised Learning

Entropy Minimization

Partially Labeled Data

Top Venues

Int. J. Approx. Reason.

Pattern Recognit.

Publications

Jie Zhou, Chucheng Huang, Can Gao, Yangbo Wang, Xinrui Shen, Xu Wu
Weighted Subspace Fuzzy Clustering with Adaptive Projection. Int. J. Intell. Syst. 2024 (2024)
Zhenxi Chen, Gong Chen, Can Gao, Jie Zhou, Jiajun Wen
Robust weighted fuzzy margin-based feature selection with three-way decision. Int. J. Approx. Reason. 173 (2024)
Jie Zhou, Can Gao, Xizhao Wang, Zhihui Lai, Jun Wan, Xiaodong Yue
Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Can Gao, Zhicheng Wang, Jie Zhou, Hang Zeng, Xiaodong Yue
Analysis of core attribute and approximate reduct based on the three-way decision. Appl. Soft Comput. 150 (2024)
Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Kwok-Wai Hung
Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning. IEEE Trans. Cybern. 54 (1) (2024)
Xu Wu, Zhihui Lai, Shiqi Yu, Jie Zhou, Zhuoqian Liang, Linlin Shen
Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Yanping Li, Duoqian Miao, Hongyun Zhang, Jie Zhou, Cairong Zhao
Multi-granularity Cross Transformer Network for person re-identification. Pattern Recognit. 150 (2024)
Feng Xu, Mingjie Cai, Qingguo Li, Jie Zhou, Hamido Fujita
Connection density based clustering: A graph-based denshttps://doi.org/10.1016/j.asoc.2024.111779ity clustering method. Appl. Soft Comput. 161 (2024)
Da Wan, Can Gao, Jie Zhou, Xinrui Shen, Linlin Shen
Unsupervised fabric defect detection with high-frequency feature mapping. Multim. Tools Appl. 83 (7) (2024)
Yufei Zhu, Jiajun Wen, Zhihui Lai, Jie Zhou, Heng Kong
LPRR: Locality preserving robust regression based jointly sparse feature extraction. Inf. Sci. 680 (2024)
Mingjie Cai, Zhishan Wu, Qingguo Li, Feng Xu, Jie Zhou
GFDC: A granule fusion density-based clustering with evidential reasoning. Int. J. Approx. Reason. 164 (2024)
Yangbo Wang, Jie Zhou, Jianglin Lu, Jun Wan, Can Gao, Qingshui Lin
Robust Self-expression Learning with Adaptive Noise Perception. Pattern Recognit. 155 (2024)
Xu Wu, Xianxu Hou, Zhihui Lai, Jie Zhou, Ya-nan Zhang, Witold Pedrycz, Linlin Shen
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement. CoRR (2024)
Zhihui Lai, Guangfei Liang, Jie Zhou, Heng Kong, Yuwu Lu
A joint learning framework for optimal feature extraction and multi-class SVM. Inf. Sci. 671 (2024)
Junhong Zhang, Zhihui Lai, Jie Zhou, Guangfei Liang
NPSVC++: Nonparallel Classifiers Encounter Representation Learning. CoRR (2024)
Linchao Pan, Can Gao, Jie Zhou, Gong Chen, Xiaodong Yue
Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data. Appl. Soft Comput. 164 (2024)
Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai
Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7 (6) (2023)
Yiling Lin, Zhihui Lai, Jie Zhou, Jiajun Wen, Heng Kong
Multiview Jointly Sparse Discriminant Common Subspace Learning. Pattern Recognit. 138 (2023)
Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min
Precise Facial Landmark Detection by Reference Heatmap Transformer. IEEE Trans. Image Process. 32 (2023)
Yangbo Wang, Jie Zhou, Qingshui Lin, Jianglin Lu, Can Gao
Inequality Constraint. ACPR (3) (2023)
Dongmei Mo, Zhihui Lai, Jie Zhou, Qinghua Hu
Scatter matrix decomposition for jointly sparse learning. Pattern Recognit. 140 (2023)
Zhihui Lai, Yiling Lin, Jiacan Zheng, Jie Zhou, Heng Kong
Generalized multiview regression for feature extraction. Inf. Sci. 648 (2023)
Ziming Luo, Can Gao, Jie Zhou
Rough sets-based tri-trade for partially labeled data. Appl. Intell. 53 (14) (2023)
Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network. IEEE Trans. Cybern. 53 (6) (2023)
Jie Zhou, Witold Pedrycz, Jun Wan, Can Gao, Zhihui Lai, Xiaodong Yue
Low-Rank Linear Embedding for Robust Clustering. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Xiaofeng Tan, Can Gao, Jie Zhou, Jiajun Wen
Three-way decision-based co-detection for outliers. Int. J. Approx. Reason. 160 (2023)
Linchao Pan, Can Gao, Jie Zhou
Three-way decision-based tri-training with entropy minimization. Inf. Sci. 610 (2022)
Jianglin Lu, Zhihui Lai, Hailing Wang, Yudong Chen, Jie Zhou, Linlin Shen
Generalized Embedding Regression: A Framework for Supervised Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Jinming Xing, Can Gao, Jie Zhou
Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis. Appl. Soft Comput. 124 (2022)
Can Gao, Yong Li, Jie Zhou, Witold Pedrycz, Zhihui Lai, Jun Wan, Jianglin Lu
Global structure-guided neighborhood preserving embedding for dimensionality reduction. Int. J. Mach. Learn. Cybern. 13 (7) (2022)
Can Gao, Zhicheng Wang, Jie Zhou
Three-way approximate reduct based on information-theoretic measure. Int. J. Approx. Reason. 142 (2022)
Yangbo Wang, Can Gao, Jie Zhou
Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning. Neurocomputing 501 (2022)
Yuwu Lu, Desheng Li, Wenjing Wang, Zhihui Lai, Jie Zhou, Xuelong Li
Discriminative Invariant Alignment for Unsupervised Domain Adaptation. IEEE Trans. Multim. 24 (2022)
Can Gao, Jie Zhou, Jinming Xing, Xiaodong Yue
Parameterized maximum-entropy-based three-way approximate attribute reduction. Int. J. Approx. Reason. 151 (2022)
Jianglin Lu, Hailing Wang, Jie Zhou, Mengfan Yan, Jiajun Wen
Deep asymmetric hashing with dual semantic regression and class structure quantization. Inf. Sci. 589 (2022)
Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Jun Wan, Zhong Ming
Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation. IEEE Trans. Fuzzy Syst. 30 (4) (2022)
Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Zhihui Lai, Kwok-Wai Hung
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning. CoRR (2022)
Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao
Robust Face Alignment by Multi-Order High-Precision Hourglass Network. IEEE Trans. Image Process. 30 (2021)
Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels. CoRR (2021)
Jianglin Lu, Hailing Wang, Jie Zhou, Yudong Chen, Zhihui Lai, Qinghua Hu
Low-rank adaptive graph embedding for unsupervised feature extraction. Pattern Recognit. 113 (2021)
Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network. CoRR (2021)
Dongmei Mo, Wai Keung Wong, Zhihui Lai, Jie Zhou
Weighted Double-Low-Rank Decomposition With Application to Fabric Defect Detection. IEEE Trans Autom. Sci. Eng. 18 (3) (2021)
Can Gao, Jie Zhou, Duoqian Miao, Jiajun Wen, Xiaodong Yue
Three-way decision with co-training for partially labeled data. Inf. Sci. 544 (2021)
Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Xiaodong Yue
Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning. Fuzzy Sets Syst. 413 (2021)
Jianglin Lu, Hailing Wang, Jie Zhou, Mengfan Yan, Jiajun Wen
Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization. CoRR (2021)
Jianglin Lu, Jingxu Lin, Zhihui Lai, Hailing Wang, Jie Zhou
Target redirected regression with dynamic neighborhood structure. Inf. Sci. 544 (2021)
Jiacan Zheng, Zhihui Lai, Jianglin Lu, Jie Zhou
Low-Rank Correlation Analysis for Discriminative Subspace Learning. ACPR (2) (2021)
Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou
Robust facial landmark detection by cross-order cross-semantic deep network. Neural Networks 136 (2021)
Chuangquan Lin, Zhihui Lai, Jianglin Lu, Jie Zhou
Fast Deep Asymmetric Hashing for Image Retrieval. ACPR (2) (2021)
Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao, Zhihui Lai, Jun Wan
Projected fuzzy C-means clustering with locality preservation. Pattern Recognit. 113 (2021)
Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels. Inf. Sci. 580 (2021)
Yangbo Wang, Can Gao, Jie Zhou, Zhihui Lai
Local Learning Joint with the Adaptive Graph for Subspace Representation. ISKE (2021)
Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou
Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network. CoRR (2020)
Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou
Clustering Ensemble Selection with Analytic Hierarchy Process. ICONIP (4) (2020)
Jianglin Lu, Zhihui Lai, Jingxu Lin, Qinghong Lin, Jie Zhou
Label Self-Adaption Hashing for Image Retrieval. ICPR (2020)
Xiaodong Yue, Jie Zhou, Yiyu Yao, Duoqian Miao
Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification. IEEE Trans. Fuzzy Syst. 28 (5) (2020)
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks. CoRR (2020)
Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao
Robust Face Alignment by Multi-order High-precision Hourglass Network. CoRR (2020)
Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue
Multigranulation rough-fuzzy clustering based on shadowed sets. Inf. Sci. 507 (2020)
Can Gao, Zhihui Lai, Jie Zhou, Jiajun Wen, Wai Keung Wong
Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction. Int. J. Approx. Reason. 104 (2019)
Jie Zhou, Can Gao, Witold Pedrycz, Zhihui Lai, Xiaodong Yue
Constrained shadowed sets and fast optimization algorithm. Int. J. Intell. Syst. 34 (10) (2019)
Jie Zhou, Duoqian Miao, Can Gao, Zhihui Lai, Xiaodong Yue
Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance. Inf. Sci. 502 (2019)
Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou
Clustering Ensemble Selection with Determinantal Point Processes. ICONIP (3) (2019)
Can Gao, Zhihui Lai, Jie Zhou, Cairong Zhao, Duoqian Miao
Maximum decision entropy-based attribute reduction in decision-theoretic rough set model. Knowl. Based Syst. 143 (2018)
Jie Zhou, Zhihui Lai, Can Gao, Xiaodong Yue, Wai Keung Wong
Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations. IEEE Access 6 (2018)
Jie Zhou, Zhihui Lai, Can Gao, Duoqian Miao, Xiaodong Yue
Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets. Knowl. Based Syst. 160 (2018)
Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen
Efficient Neighborhood Covering Reduction with Submodular Function Optimization. ICONIP (1) (2017)
Hongyun Zhang, Jie Zhou, Duoqian Miao, Can Gao
Bayesian rough set model: A further investigation. Int. J. Approx. Reason. 53 (4) (2012)
Jie Zhou, Witold Pedrycz, Duoqian Miao
Shadowed sets in the characterization of rough-fuzzy clustering. Pattern Recognit. 44 (8) (2011)
Jie Zhou, Duoqian Miao
β-Interval attribute reduction in variable precision rough set model. Soft Comput. 15 (8) (2011)
Jie Zhou, Duoqian Miao, Witold Pedrycz, Hongyun Zhang
Analysis of alternative objective functions for attribute reduction in complete decision tables. Soft Comput. 15 (8) (2011)
Na Jiao, Duoqian Miao, Jie Zhou
Two novel feature selection methods based on decomposition and composition. Expert Syst. Appl. 37 (12) (2010)
Qinrong Feng, Duoqian Miao, Jie Zhou, Yi Cheng
A novel measure of knowledge granularity in rough sets. Int. J. Granul. Comput. Rough Sets Intell. Syst. 1 (3) (2010)
Can Gao, Duoqian Miao, Jie Zhou
Maximum condition entropy based attribute reduction in variable precision rough set model. GrC (2009)
Jie Zhou, Duoqian Miao, Qinrong Feng, Lijun Sun
Research on Complete Algorithms for Minimal Attribute Reduction. RSKT (2009)
Jia-yang Wang, Jie Zhou
Research of reduct features in the variable precision rough set model. Neurocomputing 72 (10-12) (2009)