DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. - Song Cheng; Qi Liu 003; Enhong Chen; Zai Huang; Zhenya Huang; Yiying Chen; Haiping Ma; Guoping Hu (CIKM, 2019)

The Studied for the Positive and Negative Solutions of the 6-dof Motion Platform. - Yiying Chen (CSIA, 2019)

Attribute Reduction in an Incomplete Interval-Valued Decision Information System. - Yiying Chen; Zhaowen Li; Gangqiang Zhang (IEEE Access, 2021)

New uncertainty measurement for categorical data based on fuzzy information structures: An application in attribute reduction. - Qinli Zhang; Yiying Chen; Gangqiang Zhang; Zhaowen Li; Lijun Chen; Ching-Feng Wen (Inf. Sci., 2021)

Attribute reduction in an incomplete categorical decision information system based on fuzzy rough sets. - Jiali He; Liangdong Qu; Zhihong Wang; Yiying Chen; Damei Luo; Ching-Feng Wen (Artif. Intell. Rev., 2022)

Entropy measurement for a hybrid information system with images: an application in attribute reduction. - Zhaowen Li; Yiying Chen; Gangqiang Zhang; Liangdong Qu; Ningxin Xie (Soft Comput., 2022)

Resource Allocation Mechanism for Broadband Industrial Wireless Networks. - Yiying Chen; Hongchao Wang; Rongjun Chen; Yuhong Xiang (ICCCS, 2023)

Feature selection for multiset-valued data based on fuzzy conditional information entropy using iterative model and matrix operation. - Dan Huang; Yiying Chen; Fang Liu; Zhaowen Li (Appl. Soft Comput., 2023)

Feature selection in a discrete feature space based on fuzzy conditional information entropy iterative model and matrix operation. - Zhaowen Li; Yiying Chen (Int. J. Gen. Syst., 2023)

Multi-source partial multi-label learning via tensor decomposition and nonconvex regularization. - Tingquan Deng; Yiying Chen; Taoli Yang; Ge Yang; Ming Yang (Inf. Fusion, 2024)

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)