Junyi Qian
Orcid: 0000-0001-9390-4567
According to our database1,
Junyi Qian
authored at least 11 papers
between 2021 and 2024.
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Bibliography
2024
DSC-TRCP: Dynamically Self-Calibrating Tunable Replica Critical Paths Based Timing Monitoring for Variation Resilient Circuits.
IEEE J. Solid State Circuits, July, 2024
A 0.61-μW Fully Integrated Keyword-Spotting ASIC With Real-Point Serial FFT-Based MFCC and Temporal Depthwise Separable CNN.
IEEE J. Solid State Circuits, March, 2024
A runtime-reconfigurable convolutional engine using tensor multiplication with multiple computing modes in 22-nm CMOS.
Microelectron. J., February, 2024
14.2 Proactive Voltage Droop Mitigation Using Dual-Proportional-Derivative Control Based on Current and Voltage Prediction Applied to a Multicore Processor in 28nm CMOS.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024
An Adaptive Wide-Voltage-Range Droop Detection and Protection System Assisted with Timing Error Detection in 28nm CMOS.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024
2023
An All-Digital, 1.92-7.32 mV/LSB, 0.5-2 GS/s Sample Rate, and 0-Latency Prediction Voltage Sensor With Dynamic PVT Calibration for Droop Detection and AVS System.
IEEE Trans. Circuits Syst. I Regul. Pap., December, 2023
AAD-KWS: A Sub-μ W Keyword Spotting Chip With an Acoustic Activity Detector Embedded in MFCC and a Tunable Detection Window in 28-nm CMOS.
IEEE J. Solid State Circuits, March, 2023
A 1.23μJ/Inference, All-Digital Shuffle-Type Group-CNN Accelerator in 28nm CMOS With 85.8% Accuracy on CIFAR-10.
IEEE Trans. Circuits Syst. II Express Briefs, 2023
A 608nW Near-Microphone Keyword-Spotting Chip Using Real-Point Serial FFT-Based MFCC and Temporal Depthwise Separable CNN in 28nm CMOS.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023
TEPD: A Compound Timing Detection of Both Data-Transition and Path-Activation for Reliable In-Situ Timing Error Detection and Correction in 28nm CMOS.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023
2021
Reconfigurable Approximate Multiplication Architecture for CNN-Based Speech Recognition Using Wallace Tree Tensor Multiplier Unit.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2021