2026
Fault-free analogue computing with imperfect hardware
Zhicheng Xu, Jiawei Liu, Sitao Huang, Zefan Li, Shengbo Wang, Bo Wen, Ruibin Mao, Mingrui Jiang, Giacomo Pedretti, Jim Ignowski, Kaibin Huang, Can Li
Nature Electronics 2026
Analogue in-memory computing computes directly within memory, but device failures and variations limit its precision and reliability. We report a fault-free matrix representation that decomposes any target matrix into two adaptive submatrices programmed onto the analogue hardware, allowing optimization to bypass faulty devices. Our memristor-based system achieves a cosine similarity of over 99.999% for a discrete Fourier transform matrix despite a 39% device fault rate.
Fault-free analogue computing with imperfect hardware
Zhicheng Xu, Jiawei Liu, Sitao Huang, Zefan Li, Shengbo Wang, Bo Wen, Ruibin Mao, Mingrui Jiang, Giacomo Pedretti, Jim Ignowski, Kaibin Huang, Can Li
Nature Electronics 2026
Analogue in-memory computing computes directly within memory, but device failures and variations limit its precision and reliability. We report a fault-free matrix representation that decomposes any target matrix into two adaptive submatrices programmed onto the analogue hardware, allowing optimization to bypass faulty devices. Our memristor-based system achieves a cosine similarity of over 99.999% for a discrete Fourier transform matrix despite a 39% device fault rate.
Trustworthy tree-based machine learning by MoS2 flash-based analog content-addressable memory with inherent soft boundaries
Bo Wen, Guoyun Gao, Zhicheng Xu, Mingrui Jiang, Ruibin Mao, Xiaojuan Qi, Jiezhi Chen, Xunzhao Yin, X. Sharon Hu, Can Li
Nature Communications 2026
Tree-based models such as Random Forest excel in interpretability and accuracy for tabular data, but scaling them on hardware is hard because sharp decision boundaries are highly susceptible to device variations. We present a hardware-software co-design using MoS2 flash-based analog content-addressable memory with inherent soft boundaries, enabling efficient and trustworthy inference with soft tree-based models.
Trustworthy tree-based machine learning by MoS2 flash-based analog content-addressable memory with inherent soft boundaries
Bo Wen, Guoyun Gao, Zhicheng Xu, Mingrui Jiang, Ruibin Mao, Xiaojuan Qi, Jiezhi Chen, Xunzhao Yin, X. Sharon Hu, Can Li
Nature Communications 2026
Tree-based models such as Random Forest excel in interpretability and accuracy for tabular data, but scaling them on hardware is hard because sharp decision boundaries are highly susceptible to device variations. We present a hardware-software co-design using MoS2 flash-based analog content-addressable memory with inherent soft boundaries, enabling efficient and trustworthy inference with soft tree-based models.
2025
High-Performance In-Memory Bayesian Inference With Multi-Bit Ferroelectric FET
Chao Li, Xuchu Huang, Zhicheng Xu, Bo Wen, Ruibin Mao, Min Zhou, Thomas Kämpfe, Kai Ni, Can Li, Xunzhao Yin, Cheng Zhuo
IEEE Transactions on Computers 2025
A multi-bit ferroelectric field-effect transistor (FeFET) based compute-in-memory design that accelerates Bayesian inference with high performance and energy efficiency.
High-Performance In-Memory Bayesian Inference With Multi-Bit Ferroelectric FET
Chao Li, Xuchu Huang, Zhicheng Xu, Bo Wen, Ruibin Mao, Min Zhou, Thomas Kämpfe, Kai Ni, Can Li, Xunzhao Yin, Cheng Zhuo
IEEE Transactions on Computers 2025
A multi-bit ferroelectric field-effect transistor (FeFET) based compute-in-memory design that accelerates Bayesian inference with high performance and energy efficiency.
2024
ShiftCAM: A Time-Domain Content Addressable Memory Utilizing Shifted Hamming Distance for Robust Genome Analysis
Peiyi He, Ruibin Mao, Keyi Shan, Yunwei Tong, Zhicheng Xu, Muyuan Peng, Ruibang Luo, Can Li
IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2024
A time-domain content addressable memory utilizing shifted Hamming distance for robust and efficient genome sequence analysis.
ShiftCAM: A Time-Domain Content Addressable Memory Utilizing Shifted Hamming Distance for Robust Genome Analysis
Peiyi He, Ruibin Mao, Keyi Shan, Yunwei Tong, Zhicheng Xu, Muyuan Peng, Ruibang Luo, Can Li
IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2024
A time-domain content addressable memory utilizing shifted Hamming distance for robust and efficient genome sequence analysis.
FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing
Chao Li, Zhicheng Xu, Bo Wen, Ruibin Mao, Can Li, Thomas Kämpfe, Kai Ni, Xunzhao Yin
ACM/IEEE Design Automation Conference (DAC) 2024
An efficient and compact Bayesian inference engine built on ferroelectric in-memory computing.
FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing
Chao Li, Zhicheng Xu, Bo Wen, Ruibin Mao, Can Li, Thomas Kämpfe, Kai Ni, Xunzhao Yin
ACM/IEEE Design Automation Conference (DAC) 2024
An efficient and compact Bayesian inference engine built on ferroelectric in-memory computing.
FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search
Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kämpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin
Design, Automation & Test in Europe Conference (DATE) 2024
A reconfigurable multi-bit ferroelectric compute-in-memory design for nearest neighbor search.
FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search
Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kämpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin
Design, Automation & Test in Europe Conference (DATE) 2024
A reconfigurable multi-bit ferroelectric compute-in-memory design for nearest neighbor search.
2022
An Approximating Twiddle Factor Coefficient Based Multiplier for Fixed-Point FFT
Songyu Sun, Zhicheng Xu, Xi Chen, Xunzhao Yin
China Semiconductor Technology International Conference (CSTIC) 2022
An approximating twiddle-factor coefficient based multiplier that reduces the hardware cost of fixed-point FFT implementations.
An Approximating Twiddle Factor Coefficient Based Multiplier for Fixed-Point FFT
Songyu Sun, Zhicheng Xu, Xi Chen, Xunzhao Yin
China Semiconductor Technology International Conference (CSTIC) 2022
An approximating twiddle-factor coefficient based multiplier that reduces the hardware cost of fixed-point FFT implementations.