A 28nm 16.9-300TOPS/W Computing-in-Memory Processor Supporting Floating-Point NN Inference/Training with Intensive-CIM Sparse-Digital ArchitectureJinshan Yue, Ming Liu, Chaojie He et al.|Unknown|2023Cited by 80
A 28-nm Floating-Point Computing-in-Memory Processor Using Intensive-CIM Sparse-Digital ArchitectureShengzhe Yan, Ming Liu, Mufeng Zhou et al.|IEEE Journal of Solid-State Circuits|2024Cited by 24
A 41.7TOPS/W@INT8 Computing-in-Memory Processor with Zig-Zag Backbone-Systolic CIM and Block/Self-Gating CAM for NN/Recommendation ApplicationsZhuoyu Dai, Ming Liu, Shengzhe Yan et al.|Unknown|2024Cited by 13
A monolithic 3D IGZO-RRAM-SRAM-integrated architecture for robust and efficient compute-in-memory enabling equivalent-ideal device metricsShengzhe Yan, Ming Liu, Zhaori Cong et al.|Science China Information Sciences|2025Cited by 6
An RRAM-Based Computing-in-Memory Macro With Low-Power Readout/Hold Circuits and Activation Differential Strategy for AdderNetYongpan Liu, Shengzhe Yan, Zhuoyu Dai et al.|IEEE Transactions on Very Large Scale Integration (VLSI) Systems|2025Cited by 4