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  1. A 65-nm Precision-Reconfigurable Neuromorphic Digital Compute-In-Memory Macro with Aligned Storage for Synaptic Weights and Membrane Potentials<\/mark>
    Jianyi Yu, Yuxuan Wang,<\/strong> Yu Pan, Yufei Liu, Fei Qiao, Ying Wang, Rui Yuan,<\/em>\u00a0Liyuan Liu, Cong Shi*. Neuromorphic Computing and Engineering<\/strong><\/em>, 2026, accepted. \uff08SCI, <\/strong>1\u533a\uff09<\/strong>
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  2. A Digital SRAM-Based Compute-In-Memory Macro for Weight-Stationary Dynamic Matrix Multiplication in Transformer Attention Score Computation<\/a><\/mark><\/mark>
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  3. NORP: A Compact Neuromorphic Olfactory Recognition Processor with On-Chip Hybrid Learning<\/a><\/mark>
    Cong Shi, Yuxuan Wang<\/strong>, Fengchun Tian, Xiang Fu, Haibing Wang, Jingya Zhang, Haoran Gao, Shukai Duan, Lidan Wang, Min Tian*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)<\/em><\/strong>, 2023, 31-32.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

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