A PSO based virtual sample generation method for small sample sets: Applications to regression datasets. - Zhong-Sheng Chen; Bao Zhu; Yan-Lin He; Le-An Yu (Eng. Appl. Artif. Intell., 2017)

Dealing with small sample size problems in process industry using virtual sample generation: a Kriging-based approach. - Qunxiong Zhu; Zhong-Sheng Chen; Xiaohan Zhang; Abbas Rajabifard; Yuan Xu; Yiqun Chen 002 (Soft Comput., 2020)

A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: Application to soft sensing for chemical process. - Zhong-Sheng Chen; Kun-Rui Hou; Mei-Yu Zhu; Yuan Xu; Qunxiong Zhu (Appl. Soft Comput., 2021)

Novel virtual sample generation using conditional GAN for developing soft sensor with small data. - Qunxiong Zhu; Kun-Rui Hou; Zhong-Sheng Chen; Zi-Shu Gao; Yuan Xu; Yan-Lin He (Eng. Appl. Artif. Intell., 2021)

Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system. - Zhong-Sheng Chen; Qunxiong Zhu; Yuan Xu; Yan-Lin He; Qinglin Su; Yiqing C. Liu; Zoltán K. Nagy (Soft Comput., 2021)