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ENOS: Energy-Aware Network Operator Search in Deep Neural Networks

IEEE access, 2022, Vol.10, p.81447-81457

2022

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Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices

IEEE access, 2020, Vol.8, p.216259-216270

2020

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MDF-DTA: A Multi-Dimensional Fusion Approach for Drug-Target Binding Affinity Prediction

Journal of chemical information and modeling, 2024-07, Vol.64 (13), p.4980-4990

2024

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An Intrinsic and Database-Free Authentication by Exploiting Process Variation in Back-End Capacitors

IEEE transactions on very large scale integration (VLSI) systems, 2019-06, Vol.27 (6), p.1253-1261

2019

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Sixteenth‐mode substrate integrated waveguide cavity filters

International journal of RF and microwave computer-aided engineering, 2018-11, Vol.28 (9), p.n/a

2018

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ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation

IEEE transactions on very large scale integration (VLSI) systems, 2024-06, Vol.32 (6), p.991-1003

2024

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Low Power Speaker Identification by Integrated Clustering and Gaussian Mixture Model Scoring

IEEE embedded systems letters, 2020-03, Vol.12 (1), p.9-12

2020

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Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics

IEEE transactions on very large scale integration (VLSI) systems, 2020-08, Vol.28 (8), p.1833-1843

2020

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Exploring tunnel-FET for ultra low power analog applications: a case study on operational transconductance amplifier

2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC), 2013, p.1-6

2013

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Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory

IEEE transactions on very large scale integration (VLSI) systems, 2022-01, Vol.30 (1), p.68-80

2022

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On Database-Free Authentication of Microelectronic Components

IEEE transactions on very large scale integration (VLSI) systems, 2021-01, Vol.29 (1), p.149-161

2021

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Generating novel molecule for target protein (SARS-CoV-2) using drug–target interaction based on graph neural network

Network modeling and analysis in health informatics and bioinformatics (Wien), 2022-12, Vol.11 (1), p.6, Article 6

2022

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Molecule generation toward target protein (SARS-CoV-2) using reinforcement learning-based graph neural network via knowledge graph

Network modeling and analysis in health informatics and bioinformatics (Wien), 2023-01, Vol.12 (1), p.13, Article 13

2023

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Ultralow power acoustic feature-scoring using gaussian I-V transistors

Proceedings of the 55th Annual Design Automation Conference, 2018, p.1-6

2018

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Web Service Selection Mechanism in Service-Oriented Architecture Based on Publish–Subscribe Pattern in Fog Environment

Artificial Intelligence and Evolutionary Computations in Engineering Systems, 2020, Vol.1056, p.269-281

2020

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Low Power Spatial Localization of Mobile Sensors with Recurrent Neural Network

2017 IEEE International Conference on Computer Design (ICCD), 2017, p.297-300

2017

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Lightweight, Uncertainty-Aware Conformalized Visual Odometry

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, p.7742-7749

2023

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Intrinsic and Database-free Watermarking in ICs by Exploiting Process and Design Dependent Variability in Metal-Oxide-Metal Capacitances

Proceedings of the International Symposium on Low Power Electronics and Design, 2018, p.1-6

2018

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RIHANN: Remote IoT Hardware Authentication With Intrinsic Identifiers

IEEE internet of things journal, 2022-12, Vol.9 (24), p.24615-24627

2022

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Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay

2023 International Joint Conference on Neural Networks (IJCNN), 2023, p.1-7

2023

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Impact of Through-Silicon-Via capacitance on high frequency supply noise in 3D-stacks

2011 IEEE 20th Conference on Electrical Performance of Electronic Packaging and Systems, 2011, p.105-108

2011

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Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems

2023 24th International Symposium on Quality Electronic Design (ISQED), 2023, p.1-1

2023

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Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics

2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022, p.9-12

2022

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Self-adaptive power gating with test circuit for on-line characterization of energy inflection activity

2012 IEEE 30th VLSI Test Symposium (VTS), 2012, p.38-43

2012

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Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification

2016 International Joint Conference on Neural Networks (IJCNN), 2016, p.955-962

2016

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ENOS: Energy-Aware Network Operator Search in Deep Neural Networks

Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices

MDF-DTA: A Multi-Dimensional Fusion Approach for Drug-Target Binding Affinity Prediction

An Intrinsic and Database-Free Authentication by Exploiting Process Variation in Back-End Capacitors

Sixteenth‐mode substrate integrated waveguide cavity filters

ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation

Low Power Speaker Identification by Integrated Clustering and Gaussian Mixture Model Scoring

Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics

Exploring tunnel-FET for ultra low power analog applications: a case study on operational transconductance amplifier

Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory

On Database-Free Authentication of Microelectronic Components

Generating novel molecule for target protein (SARS-CoV-2) using drug–target interaction based on graph neural network

Molecule generation toward target protein (SARS-CoV-2) using reinforcement learning-based graph neural network via knowledge graph

Ultralow power acoustic feature-scoring using gaussian I-V transistors

Web Service Selection Mechanism in Service-Oriented Architecture Based on Publish–Subscribe Pattern in Fog Environment

Low Power Spatial Localization of Mobile Sensors with Recurrent Neural Network

Lightweight, Uncertainty-Aware Conformalized Visual Odometry

Intrinsic and Database-free Watermarking in ICs by Exploiting Process and Design Dependent Variability in Metal-Oxide-Metal Capacitances

RIHANN: Remote IoT Hardware Authentication With Intrinsic Identifiers

Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay

Impact of Through-Silicon-Via capacitance on high frequency supply noise in 3D-stacks

Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems

Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics

Self-adaptive power gating with test circuit for on-line characterization of energy inflection activity

Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification

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