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08/22/2023
DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs
Mixed-precision neural networks (MPNNs) that enable the use of just enou...
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08/15/2023
Whale Detection Enhancement through Synthetic Satellite Images
With a number of marine populations in rapid decline, collecting and ana...
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08/08/2023
A Deep-Learning Method Using Auto-encoder and Generative Adversarial Network for Anomaly Detection on Ancient Stone Stele Surfaces
Accurate detection of natural deterioration and man-made damage on the s...
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08/08/2023
ChatSim: Underwater Simulation with Natural Language Prompting
Robots are becoming an essential part of many operations including marin...
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06/20/2023
Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving
The reliability of deep learning accelerators (DLAs) used in autonomous ...
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06/20/2023
MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing
To ensure resilient neural network processing on even unreliable hardwar...
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10/26/2022
SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water
Unmanned Aerial Vehicles (UAVs) are known for their fast and versatile a...
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10/12/2022
Statistical Modeling of Soft Error Influence on Neural Networks
Soft errors in large VLSI circuits pose dramatic influence on computing-...
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04/05/2022
Fault-Tolerant Deep Learning: A Hierarchical Perspective
With the rapid advancements of deep learning in the past decade, it can ...
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03/28/2022
Adaptive Risk Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Enabling robots with the capability of assessing risk and making risk-aw...
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02/17/2022
Winograd Convolution: A Perspective from Fault Tolerance
Winograd convolution is originally proposed to reduce the computing over...
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12/06/2021
A Dataset-free Self-supervised Disentangled Learning Method for Adaptive Infrared and Visible Images Super-resolution Fusion
This study proposes a novel general dataset-free self-supervised learnin...
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10/12/2021
Deep Fusion Prior for Multi-Focus Image Super Resolution Fusion
This paper unifies the multi-focus images fusion (MFIF) and blind super ...
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08/11/2021
Taming Process Variations in CNFET for Efficient Last Level Cache Design
Carbon nanotube field-effect transistors (CNFET) emerge as a promising a...
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07/07/2021
R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors
AIoT processors fabricated with newer technology nodes suffer rising sof...
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07/06/2021
Energy-Efficient Accelerator Design for Deformable Convolution Networks
Deformable convolution networks (DCNs) proposed to address the image rec...
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06/09/2021
HyCA: A Hybrid Computing Architecture for Fault Tolerant Deep Learning
Hardware faults on the regular 2-D computing array of a typical deep lea...
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10/13/2019
On the Secrecy Performance of Random VLC Networks with Imperfect CSI and Protected Zone
This paper investigates the physical-layer security for a random indoor ...
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02/26/2019
A Survey on Graph Processing Accelerators: Challenges and Opportunities
Graph is a well known data structure to represent the associated relatio...
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12/19/2018
Optimal covariance matrix estimation for high-dimensional noise in high-frequency data
In this paper, we consider efficiently learning the structural informati...
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07/26/2018
Physical-layer Security for Indoor Visible Light Communications: Secrecy Capacity Analysis
This paper investigates the physical-layer security for an indoor visibl...
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06/21/2016
A Soft Processor Overlay with Tightly-coupled FPGA Accelerator
FPGA overlays are commonly implemented as coarse-grained reconfigurable ...
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08/27/2015