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03/23/2023
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
Deep point cloud registration methods face challenges to partial overlap...
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03/02/2023
Cooperative Data Collection with Multiple UAVs for Information Freshness in the Internet of Things
Maintaining the freshness of information in the Internet of Things (IoT)...
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09/28/2022
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification
Labeling medical images depends on professional knowledge, making it dif...
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08/29/2022
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing
Non-parallel text style transfer is an important task in natural languag...
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04/12/2021
A multi-plane augmented reality head-up display system based on volume holographic optical elements with large area
The traditional head-up display (HUD) system has the disadvantages of a ...
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08/14/2020
Weakly-supervised Learning for Single-step Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) utilizes MRI phase information...
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04/30/2020
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
The COVID-19 outbreak was announced as a global pandemic by the World He...
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03/24/2020
COVID-19 and Computer Audition: An Overview on What Speech Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis
At the time of writing, the world population is suffering from more than...
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03/01/2020
Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks
Due to the flexibility and low operational cost, dispatching unmanned ae...
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10/21/2019
5G, OFDM, Cubic Metric, NR-U, Occupied Channel Bandwidth, CAZAC, Zadoff-Chu Sequence
In NR-based Access to Unlicensed Spectrum (NR-U) of 5G system, to satisf...
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10/21/2019
Cubic Metric Reduction for Repetitive CAZAC Sequences in frequency domain in 5G System
To meet the increasing requirements for wireless communications, unlicen...
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08/01/2019
Meta-QSM: An Image-Resolution-Arbitrary Network for QSM Reconstruction
Quantitative Susceptibility Mapping (QSM) can estimate the underlying ti...
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04/11/2019
MRI Tissue Magnetism Quantification through Total Field Inversion with Deep Neural Networks
Quantitative susceptibility mapping (QSM) utilizes MRI signal phase to i...
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04/11/2019
Non-locally Encoder-Decoder Convolutional Network for Whole Brain QSM Inversion
Quantitative Susceptibility Mapping (QSM) reconstruction is a challengin...
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07/28/2018
Group-sparse SVD Models and Their Applications in Biological Data
Sparse Singular Value Decomposition (SVD) models have been proposed for ...
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07/26/2018
Joint Queue-Aware and Channel-Aware Delay Optimal Scheduling of Arbitrarily Bursty Traffic over Multi-State Time-Varying Channels
This paper is motivated by the observation that the average queueing del...
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04/25/2018
Age-Optimal Trajectory Planning for UAV-Assisted Data Collection
Unmanned aerial vehicle (UAV)-aided data collection is a new and promisi...
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10/13/2017
Sparse Weighted Canonical Correlation Analysis
Given two data matrices X and Y, sparse canonical correlation analysis (...
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09/21/2016
Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery
Molecular profiling data (e.g., gene expression) has been used for clini...
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03/19/2016
L0-norm Sparse Graph-regularized SVD for Biclustering
Learning the "blocking" structure is a central challenge for high dimens...
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08/23/2013