An ultra-high-density and energy-efficient content addressable memory design based on 3D-NAND flash. - Haozhang Yang; Peng Huang 004; Runze Han; Xiaoyan Liu; Jinfeng Kang (Sci. China Inf. Sci., 2023)

Pipeline Design of Nonvolatile-based Computing in Memory for Convolutional Neural Networks Inference Accelerators. - Lixia Han; Peng Huang 004; Zheng Zhou; Yiyang Chen; Haozhang Yang; Xiaoyan Liu; Jinfeng Kang (DATE, 2024)

CoMN: Algorithm-Hardware Co-Design Platform for Nonvolatile Memory-Based Convolutional Neural Network Accelerators. - Lixia Han; Renjie Pan 003; Zheng Zhou; Hairuo Lu; Yiyang Chen; Haozhang Yang; Peng Huang 004; Guangyu Sun 003; Xiaoyan Liu; Jinfeng Kang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Specific ADC of NVM-Based Computation-in-Memory for Deep Neural Networks. - Ao Shi; Yizhou Zhang; Lixia Han; Zheng Zhou; Yiyang Chen; Haozhang Yang; Lifeng Liu; Linxiao Shen; Xiaoyan Liu; Jinfeng Kang; Peng Huang 004 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Mitigating methodology of hardware non-ideal characteristics for non-volatile memory based neural networks. - Lixia Han; Peng Huang 004; Yijiao Wang; Zheng Zhou; Haozhang Yang; Yiyang Chen; Xiaoyan Liu; Jinfeng Kang (Sci. China Inf. Sci., 2025)

CIMUS: 3D-Stacked Computing-in-Memory Under Image Sensor Architecture for Efficient Machine Vision. - Lixia Han; Yiyang Chen; Siyuan Chen; Haozhang Yang; Ao Shi; Guihai Yu; Jiaqi Li; Zheng Zhou; Yijiao Wang; Yanzhi Wang; Xiaoyan Liu; Jinfeng Kang; et al. (IEEE Trans. Computers, 2025)