Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory. - Woyu Zhang; Shaocong Wang; Yi Li 049; Xiaoxin Xu; Danian Dong; Nanjia Jiang; Fei Wang; Zeyu Guo 002; Renrui Fang; Chunmeng Dou; Kai Ni; Zhongrui Wang; et al. (VLSI Technology and Circuits, 2022)

Mixed-Precision Continual Learning Based on Computational Resistance Random Access Memory. - Yi Li 049; Woyu Zhang; Xiaoxin Xu; Yifan He 003; Danian Dong; Nanjia Jiang; Fei Wang; Zeyu Guo 002; Shaocong Wang; Chunmeng Dou; Yongpan Liu; Zhongrui Wang; et al. (Adv. Intell. Syst., 2022)