Bo Liu

Orcid: 0000-0002-0894-1054

Affiliations:
  • Southeast University, School of Electronic Science and Engineering, National ASIC System Engineering Technology Research Center, Nanjing, China (PhD 2013)


According to our database1, Bo Liu authored at least 79 papers between 2012 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Layer-Wise Mixed-Modes CNN Processing Architecture With Double-Stationary Dataflow and Dimension-Reshape Strategy.
IEEE Trans. Circuits Syst. I Regul. Pap., October, 2024

Layer-Sensitive Neural Processing Architecture for Error-Tolerant Applications.
IEEE Trans. Very Large Scale Integr. Syst., May, 2024

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

VoAD: A Sub-μW Multiscene Voice Activity Detector Deploying Analog-Frontend Digital-Backend Circuits.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

Sparsity-Oriented MRAM-Centric Computing for Efficient Neural Network Inference.
IEEE Trans. Emerg. Top. Comput., 2024

34.3 A 22nm 64kb Lightning-Like Hybrid Computing-in-Memory Macro with a Compressed Adder Tree and Analog-Storage Quantizers for Transformer and CNNs.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

Complementary Series-connected STT-MTJ for Time-based Computing-in-Memory.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Live Demonstration: A Target-Separable BWN Inspired Speech Recognition Processor with Low-power Precision-adaptive Approximate Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Small-Footprint Automatic Speech Recognition System using Two-Stage Transfer Learning based Symmetrized Ternary Weight Network.
Proceedings of the IEEE International Conference on Acoustics, 2024

FDCA: Fine-grained Digital-CIM based CNN Accelerator with Hybrid Quantization and Weight-Stationary Dataflow.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
W-AMA: Weight-aware Approximate Multiplication Architecture for neural processing.
Comput. Electr. Eng., October, 2023

Computing in-memory with cascaded spintronic devices for AI edge.
Comput. Electr. Eng., August, 2023

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

Dependable STT-MRAM With Emerging Approximation and Speculation Paradigms.
IEEE Des. Test, June, 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

An Energy-Efficient MAC Design with Error Compensation Using Hybrid Approximate Logic Synthesis.
Proceedings of the IEEE International Conference on Integrated Circuits, 2023

Work-in-Process: Error-Compensation-Based Energy-Efficient MAC Unit for CNNs.
Proceedings of the International Conference on Compilers, 2023

2022
Writing-only in-MRAM computing paradigm for ultra-low power applications.
Microprocess. Microsystems, April, 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

Proposal of Analog In-Memory Computing With Magnified Tunnel Magnetoresistance Ratio and Universal STT-MRAM Cell.
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

Background Noise Adaptive Energy-Efficient Keywords Recognition Processor With Reusable DNN and Reconfigurable Architecture.
IEEE Access, 2022

A Low Power DNN-based Speech Recognition Processor with Precision Recoverable Approximate Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A TWN Inspired Speaker Verification Processor with Hardware-friendly Weight Quantization.
Proceedings of the 2022 IEEE International Conference on Integrated Circuits, 2022

A CGP-based Efficient Approximate Multiplier with Error Compensation.
Proceedings of the 2022 IEEE International Conference on Integrated Circuits, 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

Triple-Skipping Near-MRAM Computing Framework for AIoT Era.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Spintronic Solutions for Approximate Computing.
Proceedings of the Approximate Computing, 2022

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

Cryogenic In-MRAM Computing.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2021

In-MRAM Computing Elements with Single-Step Convolution and Fully Connected for BNN/TNN.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

A 1D-CRNN Inspired Reconfigurable Processor for Noise-robust Low-power Keywords Recognition.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Low-Power Keyword Recognition Feature Extraction Circuit based on SRMFCC and Shared Multiplier for High Noise Background.
Proceedings of the 14th IEEE International Conference on ASIC, 2021

Mutual Error Compensation based Area and Power efficient Approximate Multiplier.
Proceedings of the 14th IEEE International Conference on ASIC, 2021

An Always-on Ultra-Low Power Speaker Verification Accelerator based on Binary Weighted Neural Network with System Co-optimization.
Proceedings of the 14th IEEE International Conference on ASIC, 2021

Implementation of a CRNN-based low-power keyword recognition system on FPGA.
Proceedings of the 14th IEEE International Conference on ASIC, 2021

2020
A Self-Timed Voltage-Mode Sensing Scheme With Successive Sensing and Checking for STT-MRAM.
IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020

MTJ-LRB: Proposal of MTJ-Based Loop Replica Bitline as MRAM Device-Circuit Interaction for PVT-Robust Sensing.
IEEE Trans. Circuits Syst., 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

A Power Analysis Attack Countermeasure Based on Random Data Path Execution For CGRA.
IEICE Trans. Inf. Syst., 2020

FPGA implementation of a challenge pre-processing structure arbiter PUF designed for machine learning attack resistance.
IEICE Electron. Express, 2020

Interplay Bitwise Operation in Emerging MRAM for Efficient In-memory Computing.
CCF Trans. High Perform. Comput., 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

A High-throughput Low-area Entropy Source Based on Asynchronous Feedback Unit.
Proceedings of the ICCSP 2020: 4th International Conference on Cryptography, 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

ARA: Cross-Layer approximate computing framework based reconfigurable architecture for CNNs.
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

A Self-Timing Voltage-Mode Sense Amplifier for STT-MRAM Sensing Yield Improvement.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 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

EERA-ASR: An Energy-Efficient Reconfigurable Architecture for Automatic Speech Recognition With Hybrid DNN and Approximate Computing.
IEEE Access, 2018

A Power Analysis Attack Countermeasure Based on Random Execution.
Proceedings of the 17th IEEE International Conference On Trust, 2018

An Energy-efficient Reconfigurable Hybrid DNN Architecture for Speech Recognition with Approximate Computing.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Design and Optimization of Reconfigurable Data Path for Communication Baseband Signal Processing.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018

A Deep Learning Modeling Attack Method for MISR-APUF Protection Structures.
Proceedings of the 2018 IEEE Asia Pacific Conference on Circuits and Systems, 2018

2017
Context Management Scheme Optimization of Coarse-Grained Reconfigurable Architecture for Multimedia Applications.
IEEE Trans. Very Large Scale Integr. Syst., 2017

Coarse-grained reconfigurable architecture with hierarchical context cache structure and management approach.
IEICE Electron. Express, 2017

E-ERA: An energy-efficient reconfigurable architecture for RNNs using dynamically adaptive approximate computing.
IEICE Electron. Express, 2017

An energy-efficient accelerator for hybrid bit-width DNNs.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Processing LSTM in memory using hybrid network expansion model.
Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 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

2016
A Novel Design of Pipeline MDC-FFT Processor Based on Various Memory Access Mechanism.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016

2015
Performance-Conscious Reconfiguration Structure for Large-Scale Coarse-Grained Reconfigurable System.
Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015

A novel routing structure of coarse-grained reconfigurable architecture for radar application.
Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

A novel configuration context cache structure of reconfigurable systems.
Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

2014
Hierarchical Pipeline Optimization of Coarse Grained Reconfigurable Processor for Multimedia Applications.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

A Configuration Compression Approach for Coarse-Grain Reconfigurable Architecture for Radar Signal Processing.
Proceedings of the 2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2014

2012
Reconfiguration Process Optimization of Dynamically Coarse Grain Reconfigurable Architecture for Multimedia Applications.
IEICE Trans. Inf. Syst., 2012

Hybrid-Priority Configuration Cache Supervision Method for Coarse Grained Reconfigurable Architecture.
Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2012

Memory Bandwidth Optimization Strategy of Coarse-Grained Reconfigurable Architecture.
Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2012

Configuration Cache Management for Coarse-Grained Reconfigurable Architecture with Multi-Array.
Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2012


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