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08/16/2023
Autoencoding a Soft Touch to Learn Grasping from On-land to Underwater
Robots play a critical role as the physical agent of human operators in ...
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06/29/2023
Modified Parametric Multichannel Wiener Filter for Low-latency Enhancement of Speech Mixtures with Unknown Number of Speakers
This paper introduces a novel low-latency online beamforming (BF) algori...
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05/11/2023
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
With a fast developing pace of geographic applications, automatable and ...
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02/24/2023
Wireless Powered Short Packet Communications with Multiple WPT Sources
We study a multi-source wireless power transfer (WPT) enabled network su...
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01/03/2023
PMT-IQA: Progressive Multi-task Learning for Blind Image Quality Assessment
Blind image quality assessment (BIQA) remains challenging due to the div...
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11/26/2021
Simple Contrastive Representation Adversarial Learning for NLP Tasks
Self-supervised learning approach like contrastive learning is attached ...
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09/13/2020
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network
Patlak model is widely used in 18F-FDG dynamic positron emission tomogra...
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12/16/2019
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding
Positron emission tomography (PET) is widely used for clinical diagnosis...
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10/07/2019
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images
Cell detection and cell type classification from biomedical images play ...
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10/01/2019
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging
Imaging-based early diagnosis of Alzheimer Disease (AD) has become an ef...
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10/01/2018
Network Modeling and Pathway Inference from Incomplete Data ("PathInf")
In this work, we developed a network inference method from incomplete da...
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07/04/2018
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network
Recently deep neural networks have been widely and successfully applied ...
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10/31/2017
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes
Image analysis using more than one modality (i.e. multi-modal) has been ...
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07/19/2017
