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08/22/2023
MusicJam: Visualizing Music Insights via Generated Narrative Illustrations
Visualizing the insights of the invisible music is able to bring listene...
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06/30/2023
Neural 3D Scene Reconstruction from Multiple 2D Images without 3D Supervision
Neural 3D scene reconstruction methods have achieved impressive performa...
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06/14/2023
Chart2Vec: A Universal Embedding of Context-Aware Visualizations
The advances in AI-enabled techniques have accelerated the creation and ...
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04/06/2023
Datamator: An Intelligent Authoring Tool for Creating Datamations via Data Query Decomposition
Datamation is designed to animate an analysis pipeline step by step, whi...
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08/28/2022
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data
Cardiovascular disease, the leading cause of death globally, is an age-r...
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11/30/2021
Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning
Simultaneous transmitting and reflecting reconfigurable intelligent surf...
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07/30/2021
Talk2Data: High-Level Question Decomposition for Data-Oriented Question and Answering
Through a data-oriented question and answering system, users can directl...
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07/13/2021
OpenCDA:An Open Cooperative Driving Automation Framework Integrated with Co-Simulation
Although Cooperative Driving Automation (CDA) has attracted considerable...
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09/05/2020
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification
Person re-identification (Re-ID) via gait features within 3D skeleton se...
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07/30/2020
Algebraic 3D Graphic Statics: reciprocal constructions
The recently developed 3D graphic statics (3DGS) lacks a rigorous mathem...
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06/25/2020
Survey on Visual Analysis of Event Sequence Data
Event sequence data record series of discrete events in the time order o...
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03/26/2020
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets
Social media, especially Twitter, is being increasingly used for researc...
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03/23/2020
Depth Edge Guided CNNs for Sparse Depth Upsampling
Guided sparse depth upsampling aims to upsample an irregularly sampled s...
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03/13/2020
Emotion Recognition From Gait Analyses: Current Research and Future Directions
Human gait refers to a daily motion that represents not only mobility, b...
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01/31/2020
CosmoVAE: Variational Autoencoder for CMB Image Inpainting
Cosmic microwave background radiation (CMB) is critical to the understan...
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01/14/2020
Conceptual Design and Preliminary Results of a VR-based Radiation Safety Training System for Interventional Radiologists
Recent studies have reported an increased risk of developing brain and n...
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07/06/2019
Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States
Objectives To test the feasibility of using Twitter data to assess deter...
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06/24/2019
Assessing the Validity of a a priori Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial
Existing trials had not taken enough consideration of their population r...
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05/22/2019
Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter
Among American women, the rate of breast cancer is only second to lung c...
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04/07/2019
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction
Objective: The aim of this study is to develop an efficient and reliable...
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12/10/2018
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN
PURPOSE: To apply deep convolutional neural networks (CNN) to the left v...
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04/23/2018
Ocean Plume Tracking with Unmanned Surface Vessels: Algorithms and Experiments
Pollution plume monitoring using autonomous vehicles is important due to...
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02/15/2018
Pedestrian-Robot Interaction Experiments in an Exit Corridor
The study of human-robot interaction (HRI) has received increasing resea...
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08/30/2016
Low-rank Multi-view Clustering in Third-Order Tensor Space
The plenty information from multiple views data as well as the complemen...
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01/27/2016
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices
Due to its promising classification performance, sparse representation b...
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01/05/2016
Low-Rank Representation over the Manifold of Curves
In machine learning it is common to interpret each data point as a vecto...
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01/04/2016
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
Sparse subspace clustering (SSC), as one of the most successful subspace...
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09/04/2015
l1-norm Penalized Orthogonal Forward Regression
A l1-norm penalized orthogonal forward regression (l1-POFR) algorithm is...
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04/16/2015