Information Structures in an Incomplete Interval-Valued Information System. - Jiasheng Zeng; Zhaowen Li; Meng Liu; Shimin Liao (Int. J. Comput. Intell. Syst., 2019)

Measures of Uncertainty for an Incomplete Set-Valued Information System With the Optimal Selection of Subsystems: Gaussian Kernel Method. - Lijun Chen; Shimin Liao; Ningxin Xie; Zhaowen Li; Gangqiang Zhang; Ching-Feng Wen (IEEE Access, 2020)

Attribute selection approaches for incomplete interval-value data. - Zhaowen Li; Shimin Liao; Liangdong Qu; Yan Song (J. Intell. Fuzzy Syst., 2021)

Uncertainty measurement for heterogeneous data: an application in attribute reduction. - Yan Song; Gangqiang Zhang; Jiali He; Shimin Liao; Ningxin Xie (Artif. Intell. Rev., 2022)

A new optimal prediction technique for energy demand based on CNN and improved water strider algorithm: a study on socio-economic-climatic parameters. - Shimin Liao; Giorgos Jimenez (Evol. Syst., 2022)

Uncertainty measurement for a three heterogeneous information system and its application in feature selection. - Gangqiang Zhang; Yan Song; Shimin Liao; Liangdong Qu; Zhaowen Li (Soft Comput., 2022)

Channel-Spatial Attention Guided CycleGAN for CBCT-Based Synthetic CT Generation to Enable Adaptive Radiotherapy. - Yangchuan Liu; Shimin Liao; Yechen Zhu; Fuxing Deng; Zijian Zhang 004; Xin Gao 003; Tingting Cheng (IEEE Trans. Computational Imaging, 2024)