Publications

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Journal Articles


Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models

Published in Nature Communications, 2025

This paper is about physical unclonable in-memory computing, a novel technique for compute-in-memory to achieve robust and effcient edge acceleration.

Recommended citation: Yue, W., Wu, K., Li, Z., Zhou, J., Wang, Z., Zhang, T., ... & Yang, Y. (2025). Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models. Nature Communications, 16(1), 1031.
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Fully Hardware Memristive Neuromorphic Computing Enabled by the Integration of Trainable Dendritic Neurons and High‐Density RRAM Chip

Published in Advanced Functional Materials, 2024

This paper introduces a method of integrating trainable dendritic neurons with RRAM to achieve fully hardware memristive neuromorphic computing.

Recommended citation: Yang, Z., Yue, W., Liu, C., Tao, Y., Tiw, P. J., Yan, L., ... & Yang, Y. (2024). Fully Hardware Memristive Neuromorphic Computing Enabled by the Integration of Trainable Dendritic Neurons and High‐Density RRAM Chip. Advanced Functional Materials, 34(44), 2405618.
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Conference Papers


PROCA: Programmable Probabilistic Processing Unit Architecture with Accept/Reject Prediction & Multicore Pipelining for Causal Inference

Published in IEEE International Symposium on High Performance Computer Architecture (HPCA), 2025

Recommended citation: Fu, Y., Fan, A., Yue, W., Zhao, H., Shi, D., Wu, Q., ... & Yan, B. (2025, March). PROCA: Programmable Probabilistic Processing Unit Architecture with Accept/Reject Prediction & Multicore Pipelining for Causal Inference. In 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA) (pp. 761-774). IEEE.
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A 1.041-Mb/mm2 27.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications

Published in 2022 IEEE International Solid-State Circuits Conference (ISSCC), 2022

Recommended citation: Yan, B., Hsu, J. L., Yu, P. C., Lee, C. C., Zhang, Y., Yue, W., ... & Huang, R. (2022, February). A 1.041-Mb/mm 2 27.38-TOPS/W signed-INT8 dynamic-logic-based ADC-less SRAM compute-in-memory macro in 28nm with reconfigurable bitwise operation for AI and embedded applications. In 2022 IEEE International Solid-State Circuits Conference (ISSCC) (Vol. 65, pp. 188-190). IEEE.
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