A reconfigurable bidirectional associative memory network with memristor bridge. - Yingying Li; Junrui Li; Jie Li; Shukai Duan 001; Lidan Wang 001; Mingjian Guo (Neurocomputing, 2021)

Reduction 93.7% time and power consumption using a memristor-based imprecise gradient update algorithm. - Jie Li; Guangdong Zhou; Yingying Li; Jiahao Chen; Yuan Ge; Yan Mo; Yuanlei Yang; Xicong Qian; Wenwu Jiang; Hongbo Liu; Mingjian Guo; Lidan Wang 001; et al. (Artif. Intell. Rev., 2022)

A novel high performance in-situ training scheme for open-loop tuning of the memristor neural networks. - Siyuan Shen; Mingjian Guo; Jinpei Tan; Shukai Duan 001; Lidan Wang 001 (Expert Syst. Appl., 2025)

DTGA: an in-situ training scheme for memristor neural networks with high performance. - Siyuan Shen; Mingjian Guo; Lidan Wang 001; Shukai Duan 001 (Appl. Intell., 2025)