Yongliang Zhou
Orcid: 0000-0002-7327-6759
According to our database1,
Yongliang Zhou
authored at least 29 papers
between 2010 and 2024.
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Bibliography
2024
IEEE Trans. Circuits Syst. I Regul. Pap., September, 2024
IEEE Trans. Very Large Scale Integr. Syst., May, 2024
Soft-Error-Immune Quadruple-Node-Upset Tolerant Latch Based on Polarity Design and Source-Isolation Technologies.
IEEE Trans. Very Large Scale Integr. Syst., April, 2024
A CFMB STT-MRAM-Based Computing-in-Memory Proposal With Cascade Computing Unit for Edge AI Devices.
IEEE Trans. Circuits Syst. I Regul. Pap., January, 2024
An 8b-Precison 16-Kb FDSOI 8T SRAM CIM macro based on time-domain for energy-efficient edge AI devices.
Microelectron. J., 2024
Microelectron. J., 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
2023
IEEE Trans. Circuits Syst. II Express Briefs, March, 2023
A 28nm Horizontal-Weight-Shift and Vertical-feature-Shift-Based Separate-WL 6T-SRAM Computation-in-Memory Unit-Macro for Edge Depthwise Neural-Networks.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
A 28nm 64-kb 31.6-TFLOPS/W Digital-Domain Floating-Point-Computing-Unit and Double-Bit 6T-SRAM Computing-in-Memory Macro for Floating-Point CNNs.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
A 28nm 2Mb STT-MRAM Computing-in-Memory Macro with a Refined Bit-Cell and 22.4 - 41.5TOPS/W for AI Inference.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
2022
Microprocess. Microsystems, April, 2022
SNNIM: A 10T-SRAM based Spiking-Neural-Network-In-Memory architecture with capacitance computation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
ShareFloat CIM: A Compute-In-Memory Architecture with Floating-Point Multiply-and-Accumulate Operations.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022
2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Design Challenges and Methodology of High-Performance SRAM-Based Compute-in-Memory for AI Edge Devices.
Proceedings of the International Conference on UK-China Emerging Technologies, 2021
Design Methodology towards High-Precision SRAM based Computation-in-Memory for AI Edge Devices.
Proceedings of the 18th International SoC Design Conference, 2021
Challenge and Trend of SRAM Based Computation-in-Memory Circuits for AI Edge Devices.
Proceedings of the 14th IEEE International Conference on ASIC, 2021
2020
A Self-Timed Voltage-Mode Sensing Scheme With Successive Sensing and Checking for STT-MRAM.
IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020
MTJ-LRB: Proposal of MTJ-Based Loop Replica Bitline as MRAM Device-Circuit Interaction for PVT-Robust Sensing.
IEEE Trans. Circuits Syst., 2020
CCF Trans. High Perform. Comput., 2020
2019
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019
2016
IEICE Electron. Express, 2016
2011
Neurocomputing, 2011
2010
Proceedings of the International Conference on E-Business and E-Government, 2010