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06/05/2023
Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks
Partial scan is a common approach to accelerate Magnetic Resonance Imagi...
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10/20/2022
CLT for random quadratic forms based on sample means and sample covariance matrices
In this paper, we use the dimensional reduction technique to study the c...
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10/07/2022
Flexible Alignment Super-Resolution Network for Multi-Contrast MRI
Magnetic resonance images play an essential role in clinical diagnosis b...
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05/02/2022
Energy-efficient Caching and Task offloading for Timely Status Updates in UAV-assisted VANETs
Intelligent edge network is maturing to enable smart and efficient trans...
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04/16/2022
Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography
Although robust PCA has been increasingly adopted to extract vessels fro...
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03/18/2022
FORCE: A Framework of Rule-Based Conversational Recommender System
The conversational recommender systems (CRSs) have received extensive at...
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03/11/2022
Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework
Purpose: Long scan time in phase encoding for forming complete K-space m...
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03/02/2022
The role of haptic communication in dyadic collaborative object manipulation tasks
Intuitive and efficient physical human-robot collaboration relies on the...
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11/23/2021
Deep Residual Fourier Transformation for Single Image Deblurring
It has been a common practice to adopt the ResBlock, which learns the di...
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05/03/2021
Spectral Machine Learning for Pancreatic Mass Imaging Classification
We present a novel spectral machine learning (SML) method in screening f...
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02/17/2021
Integrating Pre-trained Model into Rule-based Dialogue Management
Rule-based dialogue management is still the most popular solution for in...
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02/05/2021
Metaknowledge Extraction Based on Multi-Modal Documents
The triple-based knowledge in large-scale knowledge bases is most likely...
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01/29/2021
Blockchain-empowered Data-driven Networks: A Survey and Outlook
The paths leading to future networks are pointing towards a data-driven ...
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01/14/2021
Image deblurring based on lightweight multi-information fusion network
Recently, deep learning based image deblurring has been well developed. ...
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12/28/2020
Asymptotic Achievability of the Cramér-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Assisted Communication System
To achieve the joint active and passive beamforming gains in the reconfi...
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12/11/2020
Deep Deterministic Policy Gradient for Relay Selection and Power Allocation in Cooperative Communication Network
Cooperative communication is an effective approach to improve spectrum u...
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11/10/2020
Dynamic Relay Selection and Power Allocation for Minimizing Outage Probability: A Hierarchical Reinforcement Learning Approach
Cooperative communication is an effective approach to improve spectrum u...
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11/03/2020
Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time
Route planning is important in transportation. Existing works focus on f...
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09/16/2020
Reconfigurable Intelligent Surface Aided Wireless Localization
The advantages of millimeter-wave and large antenna arrays technologies ...
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06/01/2020
Beamforming Designs and Performance Evaluations for Intelligent Reflecting Surface Enhanced Wireless Communication System with Hardware Impairments
Intelligent reflecting surface (IRS) can effectively control the wavefro...
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04/21/2020
Energy Efficiency Analysis of Intelligent Reflecting Surface System with Hardware Impairments
Recently, as explosive growth of mobile data traffic, the performance of...
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04/21/2020
Channel Estimation and Power Scaling Law of Large Reflecting Surface with Non-Ideal Hardware
Large reflecting surface (LRS) has emerged as a new solution to improve ...
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02/11/2019
Blockchain based Privacy-Preserving Software Updates with Proof-of-Delivery for Internet of Things
A large number of IoT devices are connected via the Internet. However, m...
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02/08/2017