Junyi Qian

Orcid: 0000-0001-9390-4567

According to our database1, Junyi Qian authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

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


  Loading...