Lixuan Zhu

Orcid: 0009-0004-7274-5033

According to our database1, Lixuan Zhu authored at least 12 papers between 2020 and 2024.

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

Timeline

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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

Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion.
CoRR, 2024

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

Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Robust watermarking based on dual-random phase encryption against collusion attacks.
Proceedings of the 8th International Conference on Cyber Security and Information Engineering, 2023

Adaptive Motion Compensation and Quantized Embedded Watermarking Against Collusion Attacks.
Proceedings of the 8th International Conference on Cyber Security and Information Engineering, 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

2021
A 510-nW Wake-Up Keyword-Spotting Chip Using Serial-FFT-Based MFCC and Binarized Depthwise Separable CNN in 28-nm CMOS.
IEEE J. Solid State Circuits, 2021

Design of an ultra-low Power MFCC Feature Extraction Circuit with Embedded Speech Activity Detector.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

AAD-KWS: a sub-$\mu\mathrm{W}$ keyword spotting chip with a zero-cost, acoustic activity detector from a 170nW MFCC feature extractor in 28nm CMOS.
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021

AAD-KWS: a sub-µW keyword spotting chip with a zero-cost, acoustic activity detector from a 170nW MFCC feature extractor in 28nm CMOS.
Proceedings of the 47th ESSCIRC 2021, 2021

2020
Design of Approximate Complex Constant Multiplier for Fast Fourier Transform in 28nm CMOS.
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020


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