research
∙
07/25/2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
Magnetic resonance imaging (MRI) is a principal radiological modality th...
share
research
∙
04/14/2023
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding
Soft-thresholding has been widely used in neural networks. Its basic net...
research
∙
08/15/2022
Xscope: Hunting for Cross-Chain Bridge Attacks
Cross-Chain bridges have become the most popular solution to support ass...
research
∙
05/20/2021
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
The increasing concerns about data privacy and security drives the emerg...
research
∙
03/23/2021
TrustCross: Enabling Confidential Interoperability across Blockchains Using Trusted Hardware
With the rapid development of blockchain technology, different types of ...
research
∙
02/03/2021
TBFT: Understandable and Efficient Byzantine Fault Tolerance using Trusted Execution Environment
While the requirements for reliability increasing rapidly in distributed...
research
∙
06/02/2020
Kaya: A Testing Framework for Blockchain-based Decentralized Applications
In recent years, many decentralized applications based on blockchain (DA...
research
∙
12/11/2019
Performance Analysis of the Libra Blockchain: An Experimental Study
Since Bitcoin was first introduced in 2008, many types of cryptocurrenci...
research
∙
04/09/2019
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable...
research
∙
11/09/2018
EASYFLOW: Keep Ethereum Away From Overflow
While Ethereum smart contracts enabled a wide range of blockchain applic...
research
∙
04/06/2016
Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals
Signals are generally modeled as a superposition of exponential function...
research
∙
04/29/2015
Projected Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging
Compressed sensing has shown great potentials in accelerating magnetic r...
research
∙
03/10/2015
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction
Objective: Improve the reconstructed image with fast and multi-class dic...
research
∙
01/23/2013
