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SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification

IEEE transactions on circuits and systems. I, Regular papers, 2019-01, Vol.66 (1), p.274-287

2019

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An Energy-Efficient Programmable Manycore Accelerator for Personalized Biomedical Applications

IEEE transactions on very large scale integration (VLSI) systems, 2018-01, Vol.26 (1), p.96-109

2018

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Low Overhead Architectures for OMP Compressive Sensing Reconstruction Algorithm

IEEE transactions on circuits and systems. I, Regular papers, 2017-06, Vol.64 (6), p.1468-1480

2017

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A Low-Complexity Message-Passing Algorithm for Reduced Routing Congestion in LDPC Decoders

IEEE transactions on circuits and systems. I, Regular papers, 2010-05, Vol.57 (5), p.1048-1061

2010

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Application of Compressive Sensing in the Presence of Noise for Transient Photometric Events

Signals (Basel), 2022-12, Vol.3 (4), p.794-806

2022

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Compressive Sensing Based Space Flight Instrument Constellation for Measuring Gravitational Microlensing Parallax

Signals (Basel), 2022-09, Vol.3 (3), p.559-576

2022

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A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks

ACM journal on emerging technologies in computing systems, 2021-04, Vol.17 (2), p.1-21

2021

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An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning

IEEE open journal of circuits and systems, 2021, Vol.2, p.182-195

2021

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Reg-TuneV2: A Hardware-Aware and Multiobjective Regression-Based Fine-Tuning Approach for Deep Neural Networks on Embedded Platforms

IEEE MICRO, 2023-11, Vol.43 (6), p.74-83

2023

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QS-NAS: Optimally Quantized Scaled Architecture Search to Enable Efficient On-Device Micro-AI

IEEE journal on emerging and selected topics in circuits and systems, 2021-12, Vol.11 (4), p.597-610

2021

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Accelerating Convolutional Neural Network With FFT on Embedded Hardware

IEEE transactions on very large scale integration (VLSI) systems, 2018-09, Vol.26 (9), p.1737-1749

2018

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MLAE2: Metareasoning for Latency-Aware Energy-Efficient Autonomous Nano-Drones

2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023, p.1-5

2023

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Binary Precision Neural Network Manycore Accelerator

ACM journal on emerging technologies in computing systems, 2021-04, Vol.17 (2), p.1-27

2021

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Heterogeneous Scheduling of Deep Neural Networks for Low-power Real-time Designs

ACM journal on emerging technologies in computing systems, 2019-12, Vol.15 (4), p.1-31

2019

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A Scalable Dual-Clock FIFO for Data Transfers Between Arbitrary and Haltable Clock Domains

IEEE transactions on very large scale integration (VLSI) systems, 2007-10, Vol.15 (10), p.1125-1134

2007

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Embedded Low-Power Processor for Personalized Stress Detection

IEEE transactions on circuits and systems. II, Express briefs, 2018-12, Vol.65 (12), p.2032-2036

2018

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TinyM 2 Net-V2: A Compact Low-power Software Hardware Architecture for M ulti m odal Deep Neural Networks

ACM transactions on embedded computing systems, 2024-05, Vol.23 (3), p.1-23

2024

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MetaE2RL: Toward Meta-Reasoning for Energy-Efficient Multigoal Reinforcement Learning With Squeezed-Edge You Only Look Once

IEEE MICRO, 2023-11, Vol.43 (6), p.29-39

2023

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TinyM2Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks

ACM transactions on embedded computing systems, 2024-05, Vol.23 (3), p.1-23, Article 47

2024

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SVM-based real-time hardware Trojan detection for many-core platform

2016 17th International Symposium on Quality Electronic Design (ISQED), 2016, p.362-367

2016

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Accelerating compressive sensing reconstruction OMP algorithm with CPU, GPU, FPGA and domain specific many-core

2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2015, p.970-973

2015

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LDPC Decoder with an Adaptive Wordwidth Datapath for Energy and BER Co-Optimization

VLSI Design, 2013-01, Vol.2013 (2013), p.1-14

2013

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Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency

ACM transactions on embedded computing systems, 2024-05, Vol.23 (3), p.1-28, Article 44

2024

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Real-Time Anomaly Detection Framework for Many-Core Router through Machine-Learning Techniques

ACM journal on emerging technologies in computing systems, 2016-12, Vol.13 (1), p.1-22

2016

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A Low-Power Wearable Stand-Alone Tongue Drive System for People With Severe Disabilities

IEEE transactions on biomedical circuits and systems, 2018-02, Vol.12 (1), p.58-67

2018

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SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification

An Energy-Efficient Programmable Manycore Accelerator for Personalized Biomedical Applications

Low Overhead Architectures for OMP Compressive Sensing Reconstruction Algorithm

A Low-Complexity Message-Passing Algorithm for Reduced Routing Congestion in LDPC Decoders

Application of Compressive Sensing in the Presence of Noise for Transient Photometric Events

Compressive Sensing Based Space Flight Instrument Constellation for Measuring Gravitational Microlensing Parallax

A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks

An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning

Reg-TuneV2: A Hardware-Aware and Multiobjective Regression-Based Fine-Tuning Approach for Deep Neural Networks on Embedded Platforms

QS-NAS: Optimally Quantized Scaled Architecture Search to Enable Efficient On-Device Micro-AI

Accelerating Convolutional Neural Network With FFT on Embedded Hardware

MLAE2: Metareasoning for Latency-Aware Energy-Efficient Autonomous Nano-Drones

Binary Precision Neural Network Manycore Accelerator

Heterogeneous Scheduling of Deep Neural Networks for Low-power Real-time Designs

A Scalable Dual-Clock FIFO for Data Transfers Between Arbitrary and Haltable Clock Domains

Embedded Low-Power Processor for Personalized Stress Detection

TinyM 2 Net-V2: A Compact Low-power Software Hardware Architecture for M ulti m odal Deep Neural Networks

MetaE2RL: Toward Meta-Reasoning for Energy-Efficient Multigoal Reinforcement Learning With Squeezed-Edge You Only Look Once

TinyM2Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks

SVM-based real-time hardware Trojan detection for many-core platform

Accelerating compressive sensing reconstruction OMP algorithm with CPU, GPU, FPGA and domain specific many-core

LDPC Decoder with an Adaptive Wordwidth Datapath for Energy and BER Co-Optimization

Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency

Real-Time Anomaly Detection Framework for Many-Core Router through Machine-Learning Techniques

A Low-Power Wearable Stand-Alone Tongue Drive System for People With Severe Disabilities

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