b'Yi Guo'

research

∙ 08/22/2023

MusicJam: Visualizing Music Insights via Generated Narrative Illustrations

Visualizing the insights of the invisible music is able to bring listene...

0 Chuer Chen, et al. ∙

research

∙ 06/30/2023

Neural 3D Scene Reconstruction from Multiple 2D Images without 3D Supervision

Neural 3D scene reconstruction methods have achieved impressive performa...

0 Yi Guo, et al. ∙

research

∙ 06/14/2023

Chart2Vec: A Universal Embedding of Context-Aware Visualizations

The advances in AI-enabled techniques have accelerated the creation and ...

0 Qing Chen, et al. ∙

research

∙ 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...

0 Yi Guo, et al. ∙

research

∙ 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...

10 Mengyun Qiao, et al. ∙

research

∙ 11/30/2021

Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning

Simultaneous transmitting and reflecting reconfigurable intelligent surf...

0 Yi Guo, et al. ∙

research

∙ 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...

0 Danqing Shi, et al. ∙

research

∙ 07/13/2021

OpenCDA:An Open Cooperative Driving Automation Framework Integrated with Co-Simulation

Although Cooperative Driving Automation (CDA) has attracted considerable...

0 Runsheng Xu, et al. ∙

research

∙ 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...

9 Haocong Rao, et al. ∙

research

∙ 07/30/2020

Algebraic 3D Graphic Statics: reciprocal constructions

The recently developed 3D graphic statics (3DGS) lacks a rigorous mathem...

0 Marton Hablicsek, et al. ∙

research

∙ 06/25/2020

Survey on Visual Analysis of Event Sequence Data

Event sequence data record series of discrete events in the time order o...

0 Yi Guo, et al. ∙

research

∙ 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...

0 Yunpeng Zhao, et al. ∙

research

∙ 03/23/2020

Depth Edge Guided CNNs for Sparse Depth Upsampling

Guided sparse depth upsampling aims to upsample an irregularly sampled s...

12 Yi Guo, et al. ∙

research

∙ 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...

0 Shihao Xu, et al. ∙

research

∙ 01/31/2020

CosmoVAE: Variational Autoencoder for CMB Image Inpainting

Cosmic microwave background radiation (CMB) is critical to the understan...

3 Kai Yi, et al. ∙

research

∙ 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...

0 Yi Guo, et al. ∙

research

∙ 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...

0 Hansi Zhang, et al. ∙

research

∙ 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...

0 Qian Li, et al. ∙

research

∙ 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...

0 Francois Modave, et al. ∙

research

∙ 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...

0 Ramy Hussein, et al. ∙

research

∙ 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...

12 Hung P. Do, et al. ∙

research

∙ 04/23/2018

Ocean Plume Tracking with Unmanned Surface Vessels: Algorithms and Experiments

Pollution plume monitoring using autonomous vehicles is important due to...

0 Muhammad Fahad, et al. ∙

research

∙ 02/15/2018

Pedestrian-Robot Interaction Experiments in an Exit Corridor

The study of human-robot interaction (HRI) has received increasing resea...

0 Zhuo Chen, et al. ∙

research

∙ 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...

0 Ming Yin, et al. ∙

research

∙ 01/27/2016

Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices

Due to its promising classification performance, sparse representation b...

0 Ming Yin, et al. ∙

research

∙ 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...

0 Stephen Tierney, et al. ∙

research

∙ 01/04/2016

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds

Sparse subspace clustering (SSC), as one of the most successful subspace...

0 Ming Yin, et al. ∙

research

∙ 09/04/2015

l1-norm Penalized Orthogonal Forward Regression

A l1-norm penalized orthogonal forward regression (l1-POFR) algorithm is...

0 Xia Hong, et al. ∙

research

∙ 04/16/2015

Segmentation of Subspaces in Sequential Data

We propose Ordered Subspace Clustering (OSC) to segment data drawn from ...

0 Stephen Tierney, et al. ∙

Yi Guo

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