Maximum condition entropy based attribute reduction in variable precision rough set model. - Can Gao; Duoqian Miao 001; Jie Zhou 009 (GrC, 2009)

Research on Complete Algorithms for Minimal Attribute Reduction. - Jie Zhou 009; Duoqian Miao 001; Qinrong Feng; Lijun Sun (RSKT, 2009)

Research of reduct features in the variable precision rough set model. - Jia-yang Wang; Jie Zhou 009 (Neurocomputing, 2009)

Two novel feature selection methods based on decomposition and composition. - Na Jiao; Duoqian Miao 001; Jie Zhou 009 (Expert Syst. Appl., 2010)

A novel measure of knowledge granularity in rough sets. - Qinrong Feng; Duoqian Miao 001; Jie Zhou 009; Yi Cheng (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010)

Shadowed sets in the characterization of rough-fuzzy clustering. - Jie Zhou 009; Witold Pedrycz; Duoqian Miao 001 (Pattern Recognit., 2011)

β-Interval attribute reduction in variable precision rough set model. - Jie Zhou 009; Duoqian Miao 001 (Soft Comput., 2011)

Analysis of alternative objective functions for attribute reduction in complete decision tables. - Jie Zhou 009; Duoqian Miao 001; Witold Pedrycz; Hongyun Zhang (Soft Comput., 2011)

Bayesian rough set model: A further investigation. - Hongyun Zhang; Jie Zhou 009; Duoqian Miao 001; Can Gao (Int. J. Approx. Reason., 2012)

Efficient Neighborhood Covering Reduction with Submodular Function Optimization. - Qiang Chen; Xiaodong Yue; Jie Zhou 009; Yufei Chen 002 (ICONIP (1), 2017)

Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations. - Jie Zhou 009; Zhihui Lai 001; Can Gao; Xiaodong Yue; Wai Keung Wong (IEEE Access, 2018)

Maximum decision entropy-based attribute reduction in decision-theoretic rough set model. - Can Gao; Zhihui Lai 001; Jie Zhou 009; Cairong Zhao; Duoqian Miao 001 (Knowl. Based Syst., 2018)

Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets. - Jie Zhou 009; Zhihui Lai 001; Can Gao; Duoqian Miao 001; Xiaodong Yue (Knowl. Based Syst., 2018)

Clustering Ensemble Selection with Determinantal Point Processes. - Wei Liu 027; Xiaodong Yue; Caiming Zhong; Jie Zhou 009 (ICONIP (3), 2019)

Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction. - Can Gao; Zhihui Lai 001; Jie Zhou 009; Jiajun Wen 001; Wai Keung Wong (Int. J. Approx. Reason., 2019)

Constrained shadowed sets and fast optimization algorithm. - Jie Zhou 009; Can Gao; Witold Pedrycz; Zhihui Lai 001; Xiaodong Yue (Int. J. Intell. Syst., 2019)

Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance. - Jie Zhou 009; Duoqian Miao 001; Can Gao; Zhihui Lai 001; Xiaodong Yue (Inf. Sci., 2019)

Clustering Ensemble Selection with Analytic Hierarchy Process. - Wei Liu 027; Xiaodong Yue; Caiming Zhong; Jie Zhou 009 (ICONIP (4), 2020)

Label Self-Adaption Hashing for Image Retrieval. - Jianglin Lu; Zhihui Lai 001; Jingxu Lin; Qinghong Lin; Jie Zhou 009 (ICPR, 2020)

Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks. - Jun Wan 005; Zhihui Lai 001; Jing Li 055; Jie Zhou 009; Can Gao (CoRR, 2020)

Multigranulation rough-fuzzy clustering based on shadowed sets. - Jie Zhou 009; Zhihui Lai 001; Duoqian Miao 001; Can Gao; Xiaodong Yue (Inf. Sci., 2020)

Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification. - Xiaodong Yue; Jie Zhou 009; Yiyu Yao; Duoqian Miao 001 (IEEE Trans. Fuzzy Syst., 2020)

Fast Deep Asymmetric Hashing for Image Retrieval. - Chuangquan Lin; Zhihui Lai 001; Jianglin Lu; Jie Zhou 009 (ACPR (2), 2021)

Low-Rank Correlation Analysis for Discriminative Subspace Learning. - Jiacan Zheng; Zhihui Lai 001; Jianglin Lu; Jie Zhou 009 (ACPR (2), 2021)

Local Learning Joint with the Adaptive Graph for Subspace Representation. - Yangbo Wang; Can Gao; Jie Zhou 009; Zhihui Lai 001 (ISKE, 2021)

Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning. - Jie Zhou 009; Witold Pedrycz; Can Gao; Zhihui Lai 001; Xiaodong Yue (Fuzzy Sets Syst., 2021)

Three-way decision with co-training for partially labeled data. - Can Gao; Jie Zhou 009; Duoqian Miao 001; Jiajun Wen 001; Xiaodong Yue (Inf. Sci., 2021)

Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels. - Can Gao; Jie Zhou 009; Duoqian Miao 001; Xiaodong Yue; Jun Wan 005 (Inf. Sci., 2021)

Target redirected regression with dynamic neighborhood structure. - Jianglin Lu; Jingxu Lin; Zhihui Lai 001; Hailing Wang; Jie Zhou 009 (Inf. Sci., 2021)

Robust facial landmark detection by cross-order cross-semantic deep network. - Jun Wan 005; Zhihui Lai 001; Linlin Shen; Jie Zhou 009; Can Gao; Gang Xiao; Xianxu Hou (Neural Networks, 2021)

Low-rank adaptive graph embedding for unsupervised feature extraction. - Jianglin Lu; Hailing Wang; Jie Zhou 009; Yudong Chen 002; Zhihui Lai 001; Qinghua Hu (Pattern Recognit., 2021)

Projected fuzzy C-means clustering with locality preservation. - Jie Zhou 009; Witold Pedrycz; Xiaodong Yue; Can Gao; Zhihui Lai 001; Jun Wan 005 (Pattern Recognit., 2021)

Weighted Double-Low-Rank Decomposition With Application to Fabric Defect Detection. - Dongmei Mo; Wai Keung Wong; Zhihui Lai 001; Jie Zhou 009 (IEEE Trans Autom. Sci. Eng., 2021)

Robust Face Alignment by Multi-Order High-Precision Hourglass Network. - Jun Wan 005; Zhihui Lai 001; Jun Liu 036; Jie Zhou 009; Can Gao (IEEE Trans. Image Process., 2021)

Rough-Fuzzy Clustering Based on Adaptive Weighted Values and Three-Way Decisions. - Ge Yuan; Jie Zhou 009; Qiongbin Chen (IJCRS, 2022)

Accelerated multi-granularity reduction based on neighborhood rough sets. - Yizhu Li; Mingjie Cai; Jie Zhou 009; Qingguo Li (Appl. Intell., 2022)

Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis. - Jinming Xing; Can Gao; Jie Zhou 009 (Appl. Soft Comput., 2022)

Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning. - Jianglin Lu; Jie Zhou 009; Yudong Chen 002; Witold Pedrycz; Zhihui Lai 001; Kwok-Wai Hung (CoRR, 2022)

Three-way approximate reduct based on information-theoretic measure. - Can Gao; Zhicheng Wang; Jie Zhou 009 (Int. J. Approx. Reason., 2022)

Parameterized maximum-entropy-based three-way approximate attribute reduction. - Can Gao; Jie Zhou 009; Jinming Xing; Xiaodong Yue (Int. J. Approx. Reason., 2022)

Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning. - Yangbo Wang; Can Gao; Jie Zhou 009 (Neurocomputing, 2022)

Deep asymmetric hashing with dual semantic regression and class structure quantization. - Jianglin Lu; Hailing Wang; Jie Zhou 009; Mengfan Yan; Jiajun Wen 001 (Inf. Sci., 2022)

Three-way decision-based tri-training with entropy minimization. - Linchao Pan; Can Gao; Jie Zhou 009 (Inf. Sci., 2022)

Global structure-guided neighborhood preserving embedding for dimensionality reduction. - Can Gao; Yong Li; Jie Zhou 009; Witold Pedrycz; Zhihui Lai 001; Jun Wan 005; Jianglin Lu (Int. J. Mach. Learn. Cybern., 2022)

Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation. - Jie Zhou 009; Witold Pedrycz; Can Gao; Zhihui Lai 001; Jun Wan 005; Zhong Ming 001 (IEEE Trans. Fuzzy Syst., 2022)

Discriminative Invariant Alignment for Unsupervised Domain Adaptation. - Yuwu Lu; Desheng Li; Wenjing Wang; Zhihui Lai 001; Jie Zhou 009; Xuelong Li 001 (IEEE Trans. Multim., 2022)

Generalized Embedding Regression: A Framework for Supervised Feature Extraction. - Jianglin Lu; Zhihui Lai 001; Hailing Wang; Yudong Chen 002; Jie Zhou 009; Linlin Shen (IEEE Trans. Neural Networks Learn. Syst., 2022)

Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks. - Jun Wan 005; Zhihui Lai 001; Jing Li 055; Jie Zhou 009; Can Gao (IEEE Trans. Neural Networks Learn. Syst., 2022)

SSC-l0: Sparse Subspace Clustering with the l0 Inequality Constraint. - Yangbo Wang; Jie Zhou 009; Qingshui Lin; Jianglin Lu; Can Gao (ACPR (3), 2023)

Precise Facial Landmark Detection by Reference Heatmap Transformer. - Jun Wan 005; Jun Liu 036; Jie Zhou 009; Zhihui Lai 001; Linlin Shen; Hang Sun; Ping Xiong 001; Wenwen Min (IEEE Trans. Image Process., 2023)

Low-Rank Linear Embedding for Robust Clustering. - Jie Zhou 009; Witold Pedrycz; Jun Wan 005; Can Gao; Zhihui Lai 001; Xiaodong Yue (IEEE Trans. Knowl. Data Eng., 2023)

Multiview Jointly Sparse Discriminant Common Subspace Learning. - Yiling Lin; Zhihui Lai 001; Jie Zhou 009; Jiajun Wen 001; Heng Kong (Pattern Recognit., 2023)

Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network. - Jun Wan 005; Hui Xi; Jie Zhou 009; Zhihui Lai 001; Witold Pedrycz; Xu Wang 006; Hang Sun (IEEE Trans. Cybern., 2023)

Rough sets-based tri-trade for partially labeled data. - Ziming Luo; Can Gao; Jie Zhou 009 (Appl. Intell., 2023)

Scatter matrix decomposition for jointly sparse learning. - Dongmei Mo; Zhihui Lai 001; Jie Zhou 009; Qinghua Hu (Pattern Recognit., 2023)

Three-way decision-based co-detection for outliers. - Xiaofeng Tan 001; Can Gao; Jie Zhou 009; Jiajun Wen 001 (Int. J. Approx. Reason., 2023)

Generalized multiview regression for feature extraction. - Zhihui Lai 001; Yiling Lin; Jiacan Zheng; Jie Zhou 009; Heng Kong (Inf. Sci., 2023)

Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning. - Can Gao; Yangbo Wang; Jie Zhou 009; Weiping Ding 001; Linlin Shen; Zhihui Lai 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data. - Linchao Pan; Can Gao; Jie Zhou 009; Gong Chen; Xiaodong Yue (Appl. Soft Comput., 2024)

Connection density based clustering: A graph-based denshttps://doi.org/10.1016/j.asoc.2024.111779ity clustering method. - Feng Xu 011; Mingjie Cai; Qingguo Li; Jie Zhou 009; Hamido Fujita (Appl. Soft Comput., 2024)

NPSVC++: Nonparallel Classifiers Encounter Representation Learning. - Junhong Zhang; Zhihui Lai 001; Jie Zhou 009; Guangfei Liang (CoRR, 2024)

CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement. - Xu Wu; Xianxu Hou; Zhihui Lai 001; Jie Zhou 009; Ya-nan Zhang; Witold Pedrycz; Linlin Shen (CoRR, 2024)

Low-Light Enhancement Effect on Classification and Detection: An Empirical Study. - Xu Wu; Zhihui Lai 001; Jie Zhou 009; Can Gao; Xianxu Hou; Ya-nan Zhang; Linlin Shen (CoRR, 2024)

Robust weighted fuzzy margin-based feature selection with three-way decision. - Zhenxi Chen; Gong Chen; Can Gao; Jie Zhou 009; Jiajun Wen 001 (Int. J. Approx. Reason., 2024)

Weighted Subspace Fuzzy Clustering with Adaptive Projection. - Jie Zhou 009; Chucheng Huang; Can Gao; Yangbo Wang; Xinrui Shen; Xu Wu (Int. J. Intell. Syst., 2024)

A joint learning framework for optimal feature extraction and multi-class SVM. - Zhihui Lai 001; Guangfei Liang; Jie Zhou 009; Heng Kong; Yuwu Lu (Inf. Sci., 2024)

LPRR: Locality preserving robust regression based jointly sparse feature extraction. - Yufei Zhu; Jiajun Wen 001; Zhihui Lai 001; Jie Zhou 009; Heng Kong (Inf. Sci., 2024)

Unsupervised fabric defect detection with high-frequency feature mapping. - Da Wan; Can Gao; Jie Zhou 009; Xinrui Shen; Linlin Shen (Multim. Tools Appl., 2024)

Multi-granularity Cross Transformer Network for person re-identification. - Yanping Li; Duoqian Miao 001; Hongyun Zhang; Jie Zhou 009; Cairong Zhao (Pattern Recognit., 2024)

Robust Self-expression Learning with Adaptive Noise Perception. - Yangbo Wang; Jie Zhou 009; Jianglin Lu; Jun Wan 005; Can Gao; Qingshui Lin (Pattern Recognit., 2024)

Analysis of core attribute and approximate reduct based on the three-way decision. - Can Gao; Zhicheng Wang; Jie Zhou 009; Hang Zeng; Xiaodong Yue (Appl. Soft Comput., 2024)

GFDC: A granule fusion density-based clustering with evidential reasoning. - Mingjie Cai; Zhishan Wu; Qingguo Li; Feng Xu 011; Jie Zhou 009 (Int. J. Approx. Reason., 2024)

Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning. - Jianglin Lu; Jie Zhou 009; Yudong Chen 002; Witold Pedrycz; Kwok-Wai Hung (IEEE Trans. Cybern., 2024)

Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement. - Xu Wu; Zhihui Lai 001; Shiqi Yu 001; Jie Zhou 009; Zhuoqian Liang; Linlin Shen (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. - Jie Zhou 009; Can Gao; Xizhao Wang; Zhihui Lai 001; Jun Wan 005; Xiaodong Yue (IEEE Trans. Neural Networks Learn. Syst., 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 009; Duoqian Miao 001 (IEEE Trans. Fuzzy Syst., 2024)

Fuzzy Clustering Guided by Spectral Rotation and Scaling. - Jie Zhou 009; Ge Yuan; Can Gao; Xizhao Wang; Jianhua Dai; Witold Pedrycz (IEEE Trans. Cybern., 2024)

OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning. - Yuting Zhou; Can Gao; Jie Zhou 009; Weiping Ding 001; Linlin Shen; Zhihui Lai 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A codebook-driven approach for low-light image enhancement. - Xu Wu; Xianxu Hou; Zhihui Lai 001; Jie Zhou 009; Ya-nan Zhang; Witold Pedrycz; Linlin Shen (Eng. Appl. Artif. Intell., 2025)

Fusing fuzzy rough sets and mean shift for anomaly detection. - Mengyao Liao; Zhiyu Chen; Can Gao; Jie Zhou 009; Xiaodong Yue (Int. J. Approx. Reason., 2025)

Open-Set Fabric Defect Detection With Defect Generation and Transfer. - Can Gao; Xiujian Chen; Jie Zhou 009; Jinbao Wang; Linlin Shen (IEEE Trans. Instrum. Meas., 2025)

Enhanced Fabric Defect Detection With Feature Contrast Interference Suppression. - Jinbao Wang; Jiayi Cheng; Can Gao; Jie Zhou 009; Linlin Shen (IEEE Trans. Instrum. Meas., 2025)

Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space. - Linchao Pan; Can Gao; Jie Zhou 009; Jinbao Wang (CoRR, 2025)

Reweighted Subspace Clustering Guided by Local and Global Structure Preservation. - Jie Zhou 009; Chucheng Huang; Can Gao; Yangbo Wang; Witold Pedrycz; Ge Yuan (IEEE Trans. Cybern., 2025)

Fuzzy Granule Density-Based Outlier Detection With Multi-Scale Granular Balls. - Can Gao; Xiaofeng Tan 001; Jie Zhou 009; Weiping Ding 001; Witold Pedrycz (IEEE Trans. Knowl. Data Eng., 2025)

MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection. - Jiayi Cheng; Can Gao; Jie Zhou 009; Jiajun Wen 001; Tao Dai; Jin-Bao Wang (CoRR, 2025)

Granule Margin-Based Feature Selection in Weighted Neighborhood Systems. - Can Gao; Jie Zhou 009; Xizhao Wang; Witold Pedrycz (IEEE Trans. Cybern., 2025)