Qin Li

Orcid: 0000-0001-5172-324X

Affiliations:
  • Tsinghua University, Department of Electronic Engineering, BNRist, Beijing, China


According to our database1, Qin Li authored at least 10 papers between 2017 and 2022.

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

Timeline

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Bibliography

2022
Cross-Level Design of Approximate Computing for Continuous Perception System.
Proceedings of the Approximate Computing, 2022

2021
NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Puncturing the memory wall: Joint optimization of network compression with approximate memory for ASR application.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
MSP-MFCC: Energy-Efficient MFCC Feature Extraction Method With Mixed-Signal Processing Architecture for Wearable Speech Recognition Applications.
IEEE Access, 2020

Optimization and Evaluation of Energy-Efficient Mixed-Signal MFCC Feature Extraction Architecture.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020

NS-KWS: joint optimization of near-sensor processing architecture and low-precision GRU for always-on keyword spotting.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

2019
Energy-efficient Analog Processing Architecture for Direction of Arrival with Microphone Array.
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

2018
High linearity source-follower buffer based analog memory for analog convolutional neural network.
Microelectron. J., 2018

Energy-efficient MFCC extraction architecture in mixed-signal domain for automatic speech recognition.
Proceedings of the 14th IEEE/ACM International Symposium on Nanoscale Architectures, 2018

2017
From "MISSION: IMPOSSIBLE" to mission possible: Fully flexible intelligent contact lens for image classification with analog-to-information processing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017


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