Homomorphisms Between Relation Information Systems. - Changzhong Wang; Congxin Wu; Degang Chen 002 (RSKT, 2007)

Positive almost periodic solutions of a class of Lotka-Volterra type competitive system with delays and feedback controls. - Changzhong Wang; Jinlin Shi (Appl. Math. Comput., 2007)

Periodic solution for a delay multispecies Logarithmic population model with feedback control. - Changzhong Wang; Jinlin Shi (Appl. Math. Comput., 2007)

A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets. - Degang Chen 002; Changzhong Wang; Qinghua Hu (Inf. Sci., 2007)

Some properties of relation information systems under homomorphisms. - Changzhong Wang; Congxin Wu; Degang Chen 002; Wenju Du 003 (Appl. Math. Lett., 2008)

A systematic study on attribute reduction with rough sets based on general binary relations. - Changzhong Wang; Congxin Wu; Degang Chen 002 (Inf. Sci., 2008)

Communicating between information systems. - Changzhong Wang; Congxin Wu; Degang Chen 002; Qinghua Hu; Chong Wu (Inf. Sci., 2008)

Some Invariant Properties of Fuzzy Information Systems under Homomorphism. - Changzhong Wang; Wenju Du 003 (RSKT, 2009)

Homomorphisms between fuzzy information systems. - Changzhong Wang; Degang Chen 002; Liangkuan Zhu (Appl. Math. Lett., 2009)

Some invariant properties of ordered information systems under homomorphism. - Changzhong Wang; Degang Chen 002; Qinghua Hu (Sci. China Inf. Sci., 2010)

A short note on some properties of rough groups. - Changzhong Wang; Degang Chen 002 (Comput. Math. Appl., 2010)

Data compression with homomorphism in covering information systems. - Changzhong Wang; Degang Chen 002; Chong Wu; Qinghua Hu (Int. J. Approx. Reason., 2011)

Attribute reduction of decision table based on similar relation. - Changzhong Wang; Xin-Hua Cui; Wenying Bao; Qiang He (ICMLC, 2012)

An improved approach to attribute reduction with covering rough sets - Changzhong Wang; Baiqing Sun; Qinghua Hu (CoRR, 2012)

Communication between information systems with covering based rough sets. - Changzhong Wang; Degang Chen 002; Baiqing Sun; Qinghua Hu (Inf. Sci., 2012)

A mapping between fuzzy covering information systems. - Changzhong Wang; Wenying Bao; Xiuxiu Wang; Qiang He (GrC, 2013)

A Comparative Study of Ordered and Covering Information Systems. - Changzhong Wang; Degang Chen 002; Qiang He 003; Qinghua Hu (Fundam. Informaticae, 2013)

On rough approximations of groups. - Changzhong Wang; Degang Chen 002; Qinghua Hu (Int. J. Mach. Learn. Cybern., 2013)

Communication Between Information Systems Using Fuzzy Rough Sets. - Eric C. C. Tsang; Changzhong Wang; Degang Chen 002; Congxin Wu; Qinghua Hu (IEEE Trans. Fuzzy Syst., 2013)

Neighbourhood-assignment attribute reduction based on general binary relations. - Eric C. C. Tsang; Changzhong Wang; Du Yan; Jiaze Li (ICMLC, 2014)

Fuzzy information systems and their homomorphisms. - Changzhong Wang; Degang Chen 002; Qinghua Hu (Fuzzy Sets Syst., 2014)

A novel method for attribute reduction of covering decision systems. - Changzhong Wang; Qiang He 003; Degang Chen 002; Qinghua Hu (Inf. Sci., 2014)

Improving fingerprint based access control system using quick response code. - Xiangpeng Fu; Kaiying Feng; Changzhong Wang; Junxing Zhang (CIVEMSA, 2015)

Basic properties of fuzzy approximation operators under consistent functions. - Eric C. C. Tsang; Changzhong Wang; Yang Du; Qiang He 003 (ICMLC, 2015)

Attribute reduction using distance-based fuzzy rough sets. - Changzhong Wang; Yali Qi; Qiang He (ICMLC, 2015)

An improved attribute reduction scheme with covering based rough sets. - Changzhong Wang; Mingwen Shao; Baiqing Sun; Qinghua Hu (Appl. Soft Comput., 2015)

Feature subset selection based on fuzzy neighborhood rough sets. - Changzhong Wang; Mingwen Shao; Qiang He 003; Yuhua Qian; Yali Qi (Knowl. Based Syst., 2016)

A unified information measure for general binary relations. - Changzhong Wang; Qiang He 003; Mingwen Shao; Yangyang Xu; Qinghua Hu (Knowl. Based Syst., 2017)

A Fitting Model for Feature Selection With Fuzzy Rough Sets. - Changzhong Wang; Yali Qi; Mingwen Shao; Qinghua Hu; Degang Chen 002; Yuhua Qian; Yaojin Lin (IEEE Trans. Fuzzy Syst., 2017)

Attribute reduction based on max-decision neighborhood rough set model. - Xiaodong Fan; Weida Zhao; Changzhong Wang; Yang Huang 009 (Knowl. Based Syst., 2018)

Connections between two-universe rough sets and formal concepts. - Ming-Wen Shao; Li Guo; Changzhong Wang (Int. J. Mach. Learn. Cybern., 2018)

Feature selection based on maximal neighborhood discernibility. - Changzhong Wang; Qiang He 003; Mingwen Shao; Qinghua Hu (Int. J. Mach. Learn. Cybern., 2018)

Feature Selection Based on Neighborhood Discrimination Index. - Changzhong Wang; Qinghua Hu; Xizhao Wang; Degang Chen 002; Yuhua Qian; Zhe Dong (IEEE Trans. Neural Networks Learn. Syst., 2018)

Uncertainty measures for general fuzzy relations. - Changzhong Wang; Yang Huang 009; Mingwen Shao; Degang Chen 002 (Fuzzy Sets Syst., 2019)

Attribute reduction based on k-nearest neighborhood rough sets. - Changzhong Wang; Yunpeng Shi; Xiaodong Fan; Mingwen Shao (Int. J. Approx. Reason., 2019)

Axiomatic characterizations of adjoint generalized (dual) concept systems. - Ming-Wen Shao; Wei-Zhi Wu 001; Changzhong Wang (J. Intell. Fuzzy Syst., 2019)

Fuzzy rough set-based attribute reduction using distance measures. - Changzhong Wang; Yang Huang 009; Mingwen Shao; Xiaodong Fan (Knowl. Based Syst., 2019)

Homomorphism between ordered decision systems. - Changzhong Wang; Yang Huang 009; Xiaodong Fan; Mingwen Shao (Soft Comput., 2019)

Knowledge reduction methods of covering approximate spaces based on concept lattice. - Ming-Wen Shao; Wei-Zhi Wu 001; Xi-Zhao Wang; Changzhong Wang (Knowl. Based Syst., 2020)

Attribute reduction for multi-label classification based on labels of positive region. - Xiaodong Fan; Qi Chen; Zhijun Qiao 001; Changzhong Wang; Mingyan Ten (Soft Comput., 2020)

Feature Selection Based on Neighborhood Self-Information. - Changzhong Wang; Yang Huang 009; Mingwen Shao; Qinghua Hu; Degang Chen 002 (IEEE Trans. Cybern., 2020)

Fuzzy Rough Attribute Reduction for Categorical Data. - Changzhong Wang; Yan Wang; Mingwen Shao; Yuhua Qian; Degang Chen 002 (IEEE Trans. Fuzzy Syst., 2020)

Probability granular distance-based fuzzy rough set model. - Shuang An; Qinghua Hu; Changzhong Wang (Appl. Soft Comput., 2021)

Convex hull-based distance metric learning for image classification. - Xue Zhang; Changzhong Wang; Xiaodong Fan (Comput. Appl. Math., 2021)

A relative uncertainty measure for fuzzy rough feature selection. - Shuang An; Jiaying Liu 012; Changzhong Wang; Suyun Zhao (Int. J. Approx. Reason., 2021)

Measures of Uncertainty Based on Gaussian Kernel for Type-2 Fuzzy Information Systems. - Xiaofeng Liu 007; Jianhua Dai; Jiaolong Chen; Changzhong Wang; Jianming Zhan 001 (Int. J. Fuzzy Syst., 2021)

Attribute reduction with fuzzy rough self-information measures. - Changzhong Wang; Yang Huang 009; Weiping Ding 001; Zehong Cao (Inf. Sci., 2021)

Cooperative representation of multiscale patch face recognition based on fuzzy decision. - Shibing Pei; Changzhong Wang; Xiaodong Fan; Pengfeng Zhu (Int. J. Mach. Learn. Cybern., 2021)

A multigranulation fuzzy rough approach to multisource information systems. - Likui An; Sinan Ji; Changzhong Wang; Xiaodong Fan (Soft Comput., 2021)

Margin attribute reductions for multi-label classification. - Xiaodong Fan; Xiangyue Chen; Changzhong Wang; Yang Wang; Ying Zhang (Appl. Intell., 2022)

Pointwise mutual information sparsely embedded feature selection. - Tingquan Deng; Yang Huang 009; Ge Yang; Changzhong Wang (Int. J. Approx. Reason., 2022)

A novel image super-resolution algorithm based on multi-scale dense recursive fusion network. - Xiang Lv; Changzhong Wang; Xiaodong Fan; Qiangkui Leng; Xiaoli Jiang (Neurocomputing, 2022)

Data reduction based on NN-kNN measure for NN classification and regression. - Shuang An; Qinghua Hu; Changzhong Wang; Ge Guo 001; Piyu Li (Int. J. Mach. Learn. Cybern., 2022)

Multiscale convolutional neural network for no-reference image quality assessment with saliency detection. - Xiaodong Fan; Yang Wang; Changzhong Wang; Xiangyue Chen (Multim. Tools Appl., 2022)

Feature Selection With Fuzzy-Rough Minimum Classification Error Criterion. - Changzhong Wang; Yuhua Qian; Weiping Ding 001; Xiaodong Fan (IEEE Trans. Fuzzy Syst., 2022)

No-reference image quality assessment with multi-scale weighted residuals and channel attention mechanism. - Changzhong Wang; Xiang Lv; Weiping Ding 001; Xiaodong Fan (Soft Comput., 2022)

NanBDOS: Adaptive and parameter-free borderline oversampling via natural neighbor search for class-imbalance learning. - Qiangkui Leng; Jiamei Guo; Erjie Jiao; Xiangfu Meng; Changzhong Wang (Knowl. Based Syst., 2023)

A novel fuzzy hierarchical fusion attention convolution neural network for medical image super-resolution reconstruction. - Changzhong Wang; Xiang Lv; Mingwen Shao; Yuhua Qian; Yang Zhang (Inf. Sci., 2023)

Relative Fuzzy Rough Approximations for Feature Selection and Classification. - Shuang An; Enhui Zhao; Changzhong Wang; Ge Guo 001; Suyun Zhao; Piyu Li (IEEE Trans. Cybern., 2023)

A soft neighborhood rough set model and its applications. - Shuang An; Xingyu Guo; Changzhong Wang; Ge Guo 001; Jianhua Dai (Inf. Sci., 2023)

Robust fuzzy rough approximations with kNN granules for semi-supervised feature selection. - Shuang An; Mengru Zhang; Changzhong Wang; Weiping Ding 001 (Fuzzy Sets Syst., 2023)

Two-channel deep recursive multi-scale network based on multi-attention for no-reference image quality assessment. - Changzhong Wang; Xiang Lv; Xiaodong Fan; Weiping Ding 001; Xiaoli Jiang (Int. J. Mach. Learn. Cybern., 2023)

Granularity self-information based uncertainty measure for feature selection and robust classification. - Shuang An; Qijin Xiao; Changzhong Wang; Suyun Zhao (Fuzzy Sets Syst., 2023)

A nonlinear multi-label learning model based on Tanh mapping. - Changzhong Wang; Yan Wang; Tingquan Deng; Yang Huang 009 (Eng. Appl. Artif. Intell., 2023)

Adaptive fuzzy neighborhood decision tree. - Xinyu Cui; Changzhong Wang; Shuang An; Yuhua Qian (Appl. Soft Comput., 2024)

Multi-label feature selection based on nonlinear mapping. - Yan Wang; Changzhong Wang; Tingquan Deng; Wenqi Li (Inf. Sci., 2024)

Discriminative label correlation based robust structure learning for multi-label feature selection. - Qingwei Jia; Tingquan Deng; Yan Wang; Changzhong Wang (Pattern Recognit., 2024)

Multiscale collaborative representation for face recognition via class-information fusion. - Changzhong Wang; Shibing Pei; Xiang Lv; Weiping Ding 001 (Pattern Recognit., 2024)

Attention-driven residual-dense network for no-reference image quality assessment. - Yang Zhang; Changzhong Wang; Xiang Lv; Yingnan Song (Signal Image Video Process., 2024)

Robust Feature Selection Using Multigranulation Variable-Precision Distinguishing Indicators for Fuzzy Covering Decision Systems. - Zhehuang Huang; Jinjin Li 001; Changzhong Wang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Missing multi-label learning based on the fusion of two-level nonlinear mappings. - Changzhong Wang; Yan Wang; Tingquan Deng; Weiping Ding 001 (Inf. Fusion, 2024)

Low-Rank Multilabel Learning Based on Nonlinear Mapping. - Changzhong Wang; Yan Wang; Tingquan Deng; Weiping Ding 001; Yuhua Qian (IEEE Trans. Artif. Intell., 2024)

Feature Selection Based on Weighted Fuzzy Rough Sets. - Changzhong Wang; Changyue Wang; Yuhua Qian; Qiangkui Leng (IEEE Trans. Fuzzy Syst., 2024)

Attribute Reduction Based on Fuzzy Distinguishable Pair Metric Considering Redundancy Upper and Lower Bounds. - Jianhua Dai; Qi Liu; Changzhong Wang (IEEE Trans. Fuzzy Syst., 2024)

Multi-scale patch fuzzy decision for face recognition with category information. - Shibing Pei; Minghao Chen; Changzhong Wang (Int. J. Mach. Learn. Cybern., 2024)

Adaptive Relative Fuzzy Rough Learning for Classification. - Yang Zhang 053; Changzhong Wang; Yang Huang 009; Weiping Ding 001; Yuhua Qian (IEEE Trans. Fuzzy Syst., 2024)

Heterogeneous space co-sparse representation: Leveraging fuzzy dependency and feature reconstruction for feature selection. - Yang Huang 009; Tingquan Deng; Ge Yang; Changzhong Wang (Appl. Soft Comput., 2025)

Pointwise fuzzy mutual information based multi-label feature selection via feature low-rank regularization. - Qingwei Jia; Tingquan Deng; Ziang Zhang; Yan Wang; Changzhong Wang (Appl. Soft Comput., 2025)

Vision Transformer with window sequence merging mechanism for image classification. - Erjie Jiao; Qiangkui Leng; Jiamei Guo; Xiangfu Meng; Changzhong Wang (Appl. Soft Comput., 2025)

Self-expression multi-label feature selection based on fuzzy decision. - Shibing Pei; Minghao Chen; Changzhong Wang (Appl. Soft Comput., 2025)

Adaptive prompt guided unified image restoration with latent diffusion model. - Xiang Lv; Mingwen Shao; Yecong Wan; Yuanjian Qiao; Changzhong Wang (Eng. Appl. Artif. Intell., 2025)

A robust multi-label feature selection based on label significance and fuzzy entropy. - Taoli Yang; Changzhong Wang; Yiying Chen; Tingquan Deng (Int. J. Approx. Reason., 2025)

Class label fusion guided correlation learning for incomplete multi-label classification. - Qingwei Jia; Tingquan Deng; Ming Yang 024; Yan Wang; Changzhong Wang (Inf. Fusion, 2025)

Neighborhood rough decision tree. - Changzhong Wang; Xinyu Cui; Shuang An (Inf. Sci., 2025)

Multi-label feature selection via nonlinear mapping and manifold regularization. - Yan Wang; Changzhong Wang; Tingquan Deng; Wenqi Li (Inf. Sci., 2025)

Relative neighborhood rough feature selection and robust classification for multi-density data. - Shuang An; Yanan Zhang; Changzhong Wang (Pattern Recognit., 2025)

Feature Selection and Classification Based on Directed Fuzzy Rough Sets. - Changyue Wang; Changzhong Wang; Shuang An; Weiping Ding 001; Yuhua Qian (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Discriminative identification of redundant features for multi-label feature selection. - Qingwei Jia; Tingquan Deng; Ziang Zhang; Yan Wang; Changzhong Wang (Appl. Intell., 2025)

Adaptive Fuzzy Degradation Perception Based on CLIP Prior for All-in-One Image Restoration. - Mingwen Shao; Yuexian Liu; Yuanshuo Cheng; Yecong Wan; Changzhong Wang (IEEE Trans. Fuzzy Syst., 2025)

Large-scale stochastic sparse subspace representation with consensus anchor guidance. - Ge Yang; Tingquan Deng; Ming Yang 024; Changzhong Wang (Appl. Intell., 2025)

Dynamic self-paced undersampling ensemble for imbalanced classification. - Qiangkui Leng; Chunyue Lyu; Zhuoyu Zhou; Xiangfu Meng; Changzhong Wang (J. Supercomput., 2025)

Adaptive feature selection based on fuzzy rough set fusion model with class variance. - Changzhong Wang; Yang Zhang; Shuang An; Tingquan Deng (Pattern Recognit., 2026)