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06/29/2023
Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation
Implicit Neural Representation (INR) is an innovative approach for repre...
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07/13/2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Using machine learning to solve combinatorial optimization (CO) problems...
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01/26/2022
Control Variate Polynomial Chaos: Optimal Fusion of Sampling and Surrogates for Multifidelity Uncertainty Quantification
We present a hybrid sampling-surrogate approach for reducing the computa...
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01/18/2022
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing
Agile hardware development requires fast and accurate circuit quality ev...
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01/12/2022
Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme
The modeling of optical wave propagation in optical fiber is a task of f...
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08/27/2021
TE-YOLOF: Tiny and efficient YOLOF for blood cell detection
Blood cell detection in microscopic images is an essential branch of med...
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06/25/2021
A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)
In this paper, a mechanistic data-driven approach is proposed to acceler...
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05/20/2021
DPN-SENet:A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images
Background and Objective: The new type of coronavirus is also called COV...
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12/10/2020
Peer-to-Peer Localization for Single-Antenna Devices
Some important indoor localization applications, such as localizing a lo...
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09/07/2020
Channel-wise Alignment for Adaptive Object Detection
Generic object detection has been immensely promoted by the development ...
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08/12/2020
Select Good Regions for Deblurring based on Convolutional Neural Networks
The goal of blind image deblurring is to recover sharp image from one in...
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02/28/2020
Optical Fiber Channel Modeling Using Conditional Generative Adversarial Network
In this paper, we use CGAN (conditional generative adversarial network) ...
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12/12/2019
Reliable Wide-Area Backscatter via Channel Polarization
A long-standing vision of backscatter communications is to provide long-...
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10/21/2019
State-Aware Rate Adaptation for UAVs by Incorporating On-Board Sensors
Nowadays unmanned aerial vehicles (UAVs) are being widely applied to a w...
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11/20/2018
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning
As an emerging field, Automated Machine Learning (AutoML) aims to reduce...
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11/12/2018
Depth Image Upsampling based on Guided Filter with Low Gradient Minimization
In this paper, we present a novel upsampling framework to enhance the sp...
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10/16/2018
A Robust Local Binary Similarity Pattern for Foreground Object Detection
Accurate and fast extraction of the foreground object is one of the most...
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09/07/2016
Guided Filter based Edge-preserving Image Non-blind Deconvolution
In this work, we propose a new approach for efficient edge-preserving im...
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09/06/2016
