A Boolean matrix approach for granular reduction in formal fuzzy contexts. - Yidong Lin; Jinjin Li 001 (J. Intell. Fuzzy Syst., 2019)

Multi-label Feature Selection via Global Relevance and Redundancy Optimization. - Jia Zhang; Yidong Lin; Min Jiang 005; Shaozi Li; Yong Tang 001; Kay Chen Tan (IJCAI, 2020)

Minimal Base for Finite Topological Space by Matrix Method. - Yidong Lin; Jinjin Li 001; Liangxue Peng; Ziqin Feng (Fundam. Informaticae, 2020)

Reduction of fuzzy-crisp concept lattice based on order-class matrix. - Yidong Lin; Jinjin Li 001; Shujiao Liao; Jia Zhang; Jinghua Liu (J. Intell. Fuzzy Syst., 2020)

Granular matrix-based knowledge reductions of formal fuzzy contexts. - Yidong Lin; Jinjin Li 001; Anhui Tan; Jia Zhang (Int. J. Mach. Learn. Cybern., 2020)

Granular matrix method of attribute reduction in formal contexts. - Yidong Lin; Jinjin Li 001; Hongkun Wang (Soft Comput., 2020)

A Matrix-Based Granular Reduct Approach in Formal Contexts. - Cheng-Ling Zhang; Eric C. C. Tsang; Wei-Hua Xu 003; Yidong Lin (ICMLC, 2021)

Knowledge structures delineated by fuzzy skill maps. - Wen Sun; Jinjin Li 001; Xun Ge; Yidong Lin (Fuzzy Sets Syst., 2021)

Matrix-based reduction approach for one-sided fuzzy three-way concept lattices. - Chengling Zhang; Jinjin Li 001; Yidong Lin (J. Intell. Fuzzy Syst., 2021)

Knowledge reduction of pessimistic multigranulation rough sets in incomplete information systems. - Chengling Zhang; Jinjin Li 001; Yidong Lin (Soft Comput., 2021)

Attribute-scale selection for hybrid data with test cost constraint: The approach and uncertainty measures. - Shujiao Liao; Yidong Lin; Jinjin Li 001; Huiling Li; Yuhua Qian (Int. J. Intell. Syst., 2022)

A New Approach of Knowledge Reduction in Knowledge Context Based on Boolean Matrix. - Liying Yang; Jinjin Li 001; Chengling Zhang; Yidong Lin (Symmetry, 2022)

Multi-Label Attribute Reduction Based on Neighborhood Multi-Target Rough Sets. - Wenbin Zheng; Jinjin Li 001; Shujiao Liao; Yidong Lin (Symmetry, 2022)

Incremental concept-cognitive learning approach for concept classification oriented to weighted fuzzy concepts. - Cheng-Ling Zhang; Eric C. C. Tsang; Weihua Xu 003; Yidong Lin; Lanzhen Yang (Knowl. Based Syst., 2023)

Rule reductions of decision formal context based on mixed information. - Ju Huang; Yidong Lin; Jinjin Li 001 (Appl. Intell., 2023)

Attribute subset selection via neighborhood composite entropy-based fuzzy β-covering. - Tingyi Wu; Fucai Lin; Yidong Lin (Fuzzy Sets Syst., 2023)

A novel fuzzy-rough attribute reduction approach via local information entropy. - Linlin Xie; Guoping Lin; Jinjin Li 001; Yidong Lin (Fuzzy Sets Syst., 2023)

A novel multi-source TWD model based on multi-granularity ball for multiple decision makers. - Shanshan Jiang; Guoping Lin; Jinjin Li 001; Yidong Lin (Expert Syst. Appl., 2024)

Dynamic updating variable precision three-way concept method based on two-way concept-cognitive learning in fuzzy formal contexts. - Chengling Zhang; Eric C. C. Tsang; Weihua Xu 003; Yidong Lin; Lanzhen Yang; Jiaming Wu (Inf. Sci., 2024)

Automata for knowledge assessment based on the structure of observed learning outcome taxonomy. - Yinfeng Zhou; Hai-Long Yang; Jinjin Li 001; Yidong Lin (Inf. Sci., 2024)

Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. - Jia Zhang; Yidong Lin; Min Jiang 005; Shaozi Li; Yong Tang 001; Jinyi Long; Jian Weng 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dominance relation-based feature selection for interval-valued multi-label ordered information system. - Yujie Qin; Guoping Lin; Yidong Lin; Yi Kou; Wenyue Hu (Expert Syst. Appl., 2025)

Incremental cognitive learning approach based on concept reduction. - Taoju Liang; Yidong Lin; Jinjin Li 001; Guoping Lin; Qijun Wang (Int. J. Approx. Reason., 2025)

Concept reduction via global relevance and redundancy viewpoints. - Yidong Lin; Taoju Liang; Ling Wei; Guoping Lin; Jinjin Li 001 (Inf. Sci., 2025)

A novel ANN-based feature subset selection in multi-scale granular ball neighborhood decision tables. - Lujing Zhang; Guoping Lin; Ling Wei; Shujiao Liao; Yidong Lin (Neural Networks, 2025)

ECAN: Enhanced-Feature Extraction and Complex Asymmetric-Convolutional-Attention Network for Intelligent Fault Diagnosis in MIMO System. - Xiaoting Tang; Zhen Liu 003; Yuhang Liang; Yidong Lin; Zhongshan Luo; Yuhua Cheng 001; Hang Geng (IEEE Trans. Instrum. Meas., 2025)

KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning. - Fangchen Yu; Ruilizhen Hu; Yidong Lin; Yuqi Ma; Zhenghao Huang; Wenye Li 001 (CoRR, 2025)