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[1]Lixia Han,,Siyuan,Yiyang Chen.CIMUS: 3D-stacked Computing-in-Memory Under Image Sensor Architecture for Efficient Machine Vision:IEEE Transactions on Computers,2025,74(7):2321 - 2333
[2]Lixia Han,,Zheng Zhou,Renjie Pan.CoMN: algorithm-hardware co-design platform for nonvolatile memory-based convolutional neural network accelerators:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,2024,43(7)
[3]Lixia Han,Peng Huang,Yijiao Wang.Efficient discrete temporal coding spike-driven in-memory computing macro for deep neural network based on nonvolatile memory:IEEE Transactions on Circuits and Systems I: Regular Papers,2022,69(11)
[4]Lixia Han,Peng Huang,Zheng Zhou.A convolution neural network accelerator design with weight mapping and pipeline optimization:023 60th ACM/IEEE Design Automation Conference (DAC),2023
[5]Yiyang Chen,,Lixia Han,Ao Shi.First Demonstration of Unclonable Double Encryption 28nm RRAM-Based Compute-in-Memory Macro for Confidential AI:2024 IEEE International Electron Devices Meeting (IEDM),2024
[6]Shuo Liu,,Lixia Han,Zhiyuan Wu.Achieving Over 2800% Superadditive Visual-Audio Multisensory Integration in-Situ Ferroelectric-Semiconducting Transistor for Fuzzy Subject Detection:2024 IEEE International Electron Devices Meeting (IEDM),2024
[7]Lixia Han,Peng Huang,Yijiao Wang.Mitigating methodology of hardware non-ideal characteristics for non-volatile memory based neural networks:Science China Information Sciences,2025,68(2)
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