Zhen Wang

Orcid: 0000-0002-4131-9208

Affiliations:
  • Nanjing Prochip Electronic Technology Company Ltd., China
  • Southeast University, Nanjing, China (PhD 2018)


According to our database1, Zhen Wang authored at least 29 papers between 2017 and 2024.

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Timeline

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Bibliography

2024
On-Chip-Registration Supported ASR Processor Using Two-Step Transfer-Learning TWN.
IEEE Trans. Circuits Syst. II Express Briefs, May, 2024

Optimizing the Micro-Architectural Performance of the Current and Emerging Edge Infrastructure.
IEEE Trans. Cloud Comput., 2024

2023
Multiplication Circuit Architecture for Error- Tolerant CNN-Based Keywords Speech Recognition.
IEEE Des. Test, June, 2023

Towards an Efficient SIMD Virtual Radio Access Network (vRAN) and Edge Cloud System.
IEEE Trans. Cloud Comput., 2023

A Reconfigurable Approximate Computing Architecture With Dual-VDD for Low-Power Binarized Weight Network Deployment.
IEEE Trans. Circuits Syst. II Express Briefs, 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

EIF: A Mediated Pass-Through Framework for Inference as a Service.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022
More is Less: Domain-Specific Speech Recognition Microprocessor Using One-Dimensional Convolutional Recurrent Neural Network.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Quality Driven Systematic Approximation for Binary-Weight Neural Network Deployment.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

An Efficient BCNN Deployment Method Using Quality-Aware Approximate Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Self-compensation tensor multiplication unit for adaptive approximate computing in low-power CNN processing.
Sci. China Inf. Sci., 2022

A Target-Separable BWN Inspired Speech Recognition Processor with Low-power Precision-adaptive Approximate Computing.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Approximate Computing for Energy-Constrained DNN-Based Speech Recognition.
Proceedings of the Approximate Computing, 2022

2021
A survey of in-spin transfer torque MRAM computing.
Sci. China Inf. Sci., 2021

Characterization and Implication of Edge WebAssembly Runtimes.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020
A 22nm, 10.8 μ W/15.1 μ W Dual Computing Modes High Power-Performance-Area Efficiency Domained Background Noise Aware Keyword- Spotting Processor.
IEEE Trans. Circuits Syst., 2020

Enabling Latency-Aware Data Initialization for Integrated CPU/GPU Heterogeneous Platform.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

QCNN Inspired Reconfigurable Keyword Spotting Processor With Hybrid Data-Weight Reuse Methods.
IEEE Access, 2020

Binarized Weight Neural-Network Inspired Ultra-Low Power Speech Recognition Processor with Time-Domain Based Digital-Analog Mixed Approximate Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Understanding and Tackling the Hidden Memory Latency for Edge-based Heterogeneous Platform.
Proceedings of the 3rd USENIX Workshop on Hot Topics in Edge Computing, 2020

A Background Noise Self-adaptive VAD Using SNR Prediction Based Precision Dynamic Reconfigurable Approximate Computing.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

An Ultra-low Power Keyword-Spotting Accelerator Using Circuit-Architecture-System Co-design and Self-adaptive Approximate Computing Based BWN.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

2019
An energy-efficient voice activity detector using deep neural networks and approximate computing.
Microelectron. J., 2019

An Ultra-Low Power Always-On Keyword Spotting Accelerator Using Quantized Convolutional Neural Network and Voltage-Domain Analog Switching Network-Based Approximate Computing.
IEEE Access, 2019

EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing.
IEEE Access, 2019

Sandwich-RAM: An Energy-Efficient In-Memory BWN Architecture with Pulse-Width Modulation.
Proceedings of the IEEE International Solid- State Circuits Conference, 2019

2018
A Double Dwell High Sensitivity GPS Acquisition Scheme Using Binarized Convolution Neural Network.
Sensors, 2018

EERA-DNN: An energy-efficient reconfigurable architecture for DNNs with hybrid bit-width and logarithmic multiplier.
IEICE Electron. Express, 2018

2017
Implementation and Verification of a High-Throughput Reconfigurable MIMO Detector.
Proceedings of the 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2017


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