Sample selection with rough set. - Degang Chen 002; Xiao Zhang 012; Eric C. C. Tsang; Yongping Yang (ICMLC, 2010)

A Heuristic Knowledge Reduction Algorithm for Real Decision Formal Contexts. - Jinhai Li; Changlin Mei; Yuejin Lv; Xiao Zhang 012 (RSCTC, 2012)

Parameterized Local Reduction of Decision Systems. - Degang Chen 002; Yanyan Yang 001; Xiao Zhang 012 (J. Appl. Math., 2012)

Sample Pair Selection for Attribute Reduction with Rough Set. - Degang Chen 002; Suyun Zhao; Lei Zhang 006; Yongping Yang; Xiao Zhang 012 (IEEE Trans. Knowl. Data Eng., 2012)

Weakly closed label concept lattice and its application to rule acquisition in decision formal contexts. - Jinhai Li; Junhong Wang; Changlin Mei; Xiao Zhang 012 (ICMLC, 2013)

Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization. - Xiao Zhang 012; Changlin Mei; Degang Chen 002; Jinhai Li (Knowl. Based Syst., 2013)

On rule acquisition in decision formal contexts. - Jinhai Li; Changlin Mei; Cherukuri Aswani Kumar; Xiao Zhang 012 (Int. J. Mach. Learn. Cybern., 2013)

Evidence-theory-based numerical algorithms of attribute reduction with neighborhood-covering rough sets. - Degang Chen 002; Wanlu Li; Xiao Zhang 012; Sam Kwong (Int. J. Approx. Reason., 2014)

Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems. - Xiao Zhang 012; Changlin Mei; Degang Chen 002; Jinhai Li (Int. J. Approx. Reason., 2014)

Rule-preserved object compression in formal decision contexts using concept lattices. - Jinhai Li; Changlin Mei; Junhong Wang; Xiao Zhang 012 (Knowl. Based Syst., 2014)

Granular structures of fuzzy rough sets based on general fuzzy relations. - Xiao Zhang 012; Changlin Mei; Degang Chen 002 (ICMLC, 2015)

Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy. - Xiao Zhang 012; Changlin Mei; Degang Chen 002; Jinhai Li (Pattern Recognit., 2016)

A Fast Feature Selection Algorithm by Accelerating Computation of Fuzzy Rough Set-Based Information Entropy. - Xiao Zhang 012; Xia Liu; Yanyan Yang 001 (Entropy, 2018)

A fuzzy rough set-based feature selection method using representative instances. - Xiao Zhang 012; Changlin Mei; Degang Chen 002; Yanyan Yang 001 (Knowl. Based Syst., 2018)

Discernible neighborhood counting based incremental feature selection for heterogeneous data. - Yanyan Yang 001; Shiji Song; Degang Chen 002; Xiao Zhang 012 (Int. J. Mach. Learn. Cybern., 2020)

Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy. - Xiao Zhang 012; Changlin Mei; Degang Chen 002; Yanyan Yang 001; Jinhai Li (IEEE Trans. Fuzzy Syst., 2020)

Incremental feature selection by sample selection and feature-based accelerator. - Yanyan Yang 001; Degang Chen 002; Xiao Zhang 012; Zhenyan Ji; Yingjun Zhang (Appl. Soft Comput., 2022)

Covering rough set-based incremental feature selection for mixed decision system. - Yanyan Yang 001; Degang Chen 002; Xiao Zhang 012; Zhenyan Ji (Soft Comput., 2022)

Instance and Feature Selection Using Fuzzy Rough Sets: A Bi-Selection Approach for Data Reduction. - Xiao Zhang 012; Changlin Mei; Jinhai Li; Yanyan Yang 001; Ting Qian (IEEE Trans. Fuzzy Syst., 2023)

A two-way accelerator for feature selection using a monotonic fuzzy conditional entropy. - Yanyan Yang 001; Degang Chen 002; Zhenyan Ji; Xiao Zhang 012; Lianjie Dong (Fuzzy Sets Syst., 2024)

A fuzzy rough set-based undersampling approach for imbalanced data. - Xiao Zhang 012; Zhaoqian He; Yanyan Yang 001 (Int. J. Mach. Learn. Cybern., 2024)

Bi-Selection of Instances and Features Based on Neighborhood Importance Degree. - Xiao Zhang 012; Zhaoqian He; Jinhai Li; Changlin Mei; Yanyan Yang 001 (IEEE Trans. Big Data, 2024)

FGRBC: A Novel Fuzzy Granular Rule-Based Classifier Using the Justifiable Granularity Principle and a Fusion Strategy. - Xiao Zhang 012; Yijing Liu; Jinhai Li; Changlin Mei (IEEE Trans. Fuzzy Syst., 2024)

An instance-oriented multi-source information fusion technique based on neighborhood granules. - Xiao Zhang 012; Jingjing Shen; Jinhai Li; Xia Liu (Appl. Soft Comput., 2025)

Multi-level information fusion for missing multi-label learning based on stochastic concept clustering. - Zhiming Liu; Jinhai Li; Xiao Zhang 012; Xizhao Wang (Inf. Fusion, 2025)

Incremental Incomplete Concept-Cognitive Learning Model: A Stochastic Strategy. - Zhiming Liu; Jinhai Li; Xiao Zhang 012; Xi-Zhao Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)