Hongyu An

Orcid: 0009-0008-5551-1242

According to our database1, Hongyu An authored at least 66 papers between 2005 and 2024.

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Bibliography

2024
Towards Energy-Efficient Spiking Neural Networks: A Robust Hybrid CMOS-Memristive Accelerator.
ACM J. Emerg. Technol. Comput. Syst., January, 2024

Spatio-Temporal Distortion Aware Omnidirectional Video Super-Resolution.
CoRR, 2024

Preliminary Results of Neuromorphic Controller Design and a Parkinson's Disease Dataset Building for Closed-Loop Deep Brain Stimulation.
CoRR, 2024

NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results.
CoRR, 2024

Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model.
CoRR, 2024

Mimicking Associative Learning of Rats via a Neuromorphic Robot in Open Field Maze Using Spatial Cell Models.
Proceedings of the International Conference on Neuromorphic Systems, 2024

A Plug-and-Play Image Registration Network.
Proceedings of the Twelfth International Conference on Learning Representations, 2024



2023
Super-Resolution Reconstruction of Terahertz Images Based on Residual Generative Adversarial Network with Enhanced Attention.
Entropy, March, 2023

Monitoring time domain characteristics of Parkinson's disease using 3D memristive neuromorphic system.
Frontiers Comput. Neurosci., February, 2023

Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction.
IEEE Trans. Computational Imaging, 2023

Block Coordinate Plug-and-Play Methods for Blind Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reproducing Fear Conditioning of Rats with Unmanned Ground Vehicles and Neuromorphic Systems.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Perception-Oriented Omnidirectional Image Super-Resolution Based on Transformer Network.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Deformation-Compensated Learning for Image Reconstruction Without Ground Truth.
IEEE Trans. Medical Imaging, 2022

Three-Dimensional Neuromorphic Computing System With Two-Layer and Low-Variation Memristive Synapses.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees.
CoRR, 2022

Synthetic PET via Domain Translation of 3D MRI.
CoRR, 2022

Beta Oscillation Detector Design for Closed-Loop Deep Brain Stimulation of Parkinson's Disease with Memristive Spiking Neural Networks.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Monte Carlo simulation of SSE 50ETF with trend timing strategy based on BSM option pricing.
Proceedings of the ICCMB 2022: 5th International Conference on Computers in Management and Business, Singapore, January 21, 2022

2021
Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Robust Deep Reservoir Computing Through Reliable Memristor With Improved Heat Dissipation Capability.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth.
CoRR, 2021

Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

A Three-dimensional (3D) Memristive Spiking Neural Network (M-SNN) System.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Deep Image Reconstruction Using Unregistered Measurements Without Groundtruth.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Powering Next-Generation Artificial Intelligence by Designing Three-dimensional High-Performance Neuromorphic Computing System with Memristors.
PhD thesis, 2020

Quantification of brain oxygen extraction and metabolism with [<sup>15</sup>O]-gas PET: A technical review in the era of PET/MRI.
NeuroImage, 2020

RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth.
IEEE J. Sel. Top. Signal Process., 2020

Powering next-generation industry 4.0 by a self-learning and low-power neuromorphic system.
Proceedings of the NANOCOM '20: The Seventh Annual ACM International Conference on Nanoscale Computing and Communication, 2020

Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Monolithic 3D neuromorphic computing system with hybrid CMOS and memristor-based synapses and neurons.
Integr., 2019

2018
A Novel Approach for Using TSVs As Membrane Capacitance in Neuromorphic 3-D IC.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

2017
A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients.
NeuroImage, 2017

Three dimensional memristor-based neuromorphic computing system and its application to cloud robotics.
Comput. Electr. Eng., 2017

3D memristor-based adjustable deep recurrent neural network with programmable attention mechanism.
Proceedings of the Neuromorphic Computing Symposium, 2017

Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems.
Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Electrical modeling and analysis of 3D synaptic array using vertical RRAM structure.
Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Adaptation of Enhanced TSV Capacitance as Membrane Property in 3D Brain-inspired Computing System.
Proceedings of the 54th Annual Design Automation Conference, 2017

2016
Reconstruction of 7T-Like Images From 3T MRI.
IEEE Trans. Medical Imaging, 2016

Design challenges and methodologies in 3D integration for neuromorphic computing systems.
Proceedings of the 17th International Symposium on Quality Electronic Design, 2016

2015
MR-based attenuation correction for PET/MRI neurological studies with continuous-valued attenuation coefficients for bone through a conversion from R2* to CT-Hounsfield units.
NeuroImage, 2015

Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014
Uncertainty Estimation in Diffusion MRI Using the Nonlocal Bootstrap.
IEEE Trans. Medical Imaging, 2014

Fiber-driven resolution enhancement of diffusion-weighted images.
NeuroImage, 2014

MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
A computerized MRI biomarker quantification scheme for a canine model of Duchenne muscular dystrophy.
Int. J. Comput. Assist. Radiol. Surg., 2013

Power consumption testing and optimization for mobile router based on data aggregation and compression.
Proceedings of the 16th International Symposium on Wireless Personal Multimedia Communications, 2013

Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrap.
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

A Generative Model for Resolution Enhancement of Diffusion MRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Patient-Specific Biomechanical Modeling of Ventricular Enlargement in Hydrocephalus from Longitudinal Magnetic Resonance Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

The Non-Local Bootstrap - Estimation of Uncertainty in Diffusion MRI.
Proceedings of the Information Processing in Medical Imaging, 2013

Implementation and field test of a small-scale WAVE system in IEEE 802.11p V2R/V2V environments.
Proceedings of the 15th IEEE International Conference on Communication Technology, 2013

2011
SPHERE: SPherical Harmonic Elastic REgistration of HARDI data.
NeuroImage, 2011

Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging.
NeuroImage, 2011

2010
Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Hierachical Spherical Harmonics Based Deformable HARDI Registration.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

2009
White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients.
NeuroImage, 2009

RADTI: regression analyses of diffusion tensor images.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

LSTGEE: longitudinal analysis of neuroimaging data.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Hierarchical unbiased group-wise registration for atlas construction and population comparison.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2005
An independent component analysis approach to perfusion weighted imaging.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005


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