Chaoli Wang

Orcid: 0000-0002-0859-3619

Affiliations:
  • University of Notre Dame, Department of Computer Science and Engineering, Notre Dame, IN, USA
  • Michigan Technological University, Houghton, MI, USA (2009 - 2014)
  • University of California, Davis, CA, USA (2007 - 2009)
  • Ohio State University, Columbus, OH, USA (PhD 2006)


According to our database1, Chaoli Wang authored at least 130 papers between 2003 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization.
IEEE Trans. Vis. Comput. Graph., January, 2025

Preface.
IEEE Trans. Vis. Comput. Graph., January, 2025

2024
Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: a case study.
Educ. Inf. Technol., February, 2024

A single frame and multi-frame joint network for 360-degree panorama video super-resolution.
Eng. Appl. Artif. Intell., 2024

Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation.
CoRR, 2024

STSR-INR: Spatiotemporal super-resolution for multivariate time-varying volumetric data via implicit neural representation.
Comput. Graph., 2024

A Comparative Study of Neural Surface Reconstruction for Scientific Visualization.
Proceedings of the IEEE Visualization and Visual Analytics, 2024

FCNR: Fast Compressive Neural Representation of Visualization Images.
Proceedings of the IEEE Visualization and Visual Analytics, 2024

FAVis: Visual Analytics of Factor Analysis for Psychological Research.
Proceedings of the IEEE Visualization and Visual Analytics, 2024

ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets.
Proceedings of the 17th IEEE Pacific Visualization Conference, 2024

IEEE LDAV 2024 Preface.
Proceedings of the 14th IEEE Symposium on Large Data Analysis and Visualization, 2024

Boosting Medical Image Classification with Segmentation Foundation Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network.
IEEE Trans. Vis. Comput. Graph., December, 2023

NeRVI: Compressive neural representation of visualization images for communicating volume visualization results.
Comput. Graph., November, 2023

DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.
IEEE Trans. Vis. Comput. Graph., August, 2023

SD<sup>2</sup>: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance.
IEEE Trans. Vis. Comput. Graph., August, 2023

GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization.
Comput. Graph., May, 2023

Visualizing digital architectural data for heritage education.
Proceedings of the Visualization and Data Analysis 2023, 2023

ArcheryVis: A Tool for Analyzing and Visualizing Archery Performance Data.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

ConvFormer: Combining CNN and Transformer for Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
VCNet: A generative model for volume completion.
Vis. Informatics, 2022

STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes.
IEEE Trans. Vis. Comput. Graph., 2022

SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and Visualization.
IEEE Trans. Vis. Comput. Graph., 2022

SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance.
CoRR, 2022

SurfNet: Learning Surface Representations via Graph Convolutional Network.
Comput. Graph. Forum, 2022

VisVisual: A Toolkit for Teaching and Learning Data Visualization.
IEEE Computer Graphics and Applications, 2022

TSR-VFD: Generating temporal super-resolution for unsteady vector field data.
Comput. Graph., 2022

CoursePathVis: Course path visualization using flexible grouping and funnel-augmented Sankey diagram.
Proceedings of the Visualization and Data Analysis 2022, online, January 15-26, 2022, 2022

AQX: Explaining Air Quality Forecast for Verifying Domain Knowledge using Feature Importance Visualization.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Designing a Learning Analytics Dashboard to Provide Students with Actionable Feedback and Evaluating Its Impacts.
Proceedings of the 14th International Conference on Computer Supported Education, 2022

Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning.
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022

2021
SurfRiver: Flattening Stream Surfaces for Comparative Visualization.
IEEE Trans. Vis. Comput. Graph., 2021

V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data.
IEEE Trans. Vis. Comput. Graph., 2021

Guest Editors' Introduction: Special Section on IEEE PacificVis 2021.
IEEE Trans. Vis. Comput. Graph., 2021

Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising.
IEEE Computer Graphics and Applications, 2021

Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Hierarchical Sankey Diagram: Design and Evaluation.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

2020
Visualization Laboratory at University of Notre Dame.
Vis. Informatics, 2020

OnionGraph: Hierarchical topology+attribute multivariate network visualization.
Vis. Informatics, 2020

AntVis: A web-based visual analytics tool for exploring ant movement data.
Vis. Informatics, 2020

Visual Analysis of Collective Anomalies Using Faceted High-Order Correlation Graphs.
IEEE Trans. Vis. Comput. Graph., 2020

Eiffel: Evolutionary Flow Map for Influence Graph Visualization.
IEEE Trans. Vis. Comput. Graph., 2020

TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and Visualization.
IEEE Trans. Vis. Comput. Graph., 2020

FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces.
IEEE Trans. Vis. Comput. Graph., 2020

Guest Editors' Introduction: Special Section on IEEE PacificVis 2020.
IEEE Trans. Vis. Comput. Graph., 2020

Spectrum-preserving sparsification for visualization of big graphs.
Comput. Graph., 2020

Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A unified framework for exploring time-varying volumetric data based on block correspondence.
Vis. Informatics, 2019

PerformanceVis: Visual analytics of student performance data from an introductory chemistry course.
Vis. Informatics, 2019

Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps.
IEEE Trans. Vis. Comput. Graph., 2019

Moving with the flow: an automatic tour of unsteady flow fields.
J. Vis., 2019

Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning.
IEEE Computer Graphics and Applications, 2019

A Deep Learning Approach to Selecting Representative Time Steps for Time-Varying Multivariate Data.
Proceedings of the 30th IEEE Visualization Conference, 2019

CCVis: Visual Analytics of Student Online Learning Behaviors Using Course Clickstream Data.
Proceedings of the Visualization and Data Analysis 2019, 2019

HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data.
Proceedings of the Advances in Visual Computing, 2019

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Biomedical Image Segmentation via Representative Annotation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields.
IEEE Trans. Vis. Comput. Graph., 2018

Semi-Automatic Generation of Stream Surfaces via Sketching.
IEEE Trans. Vis. Comput. Graph., 2018

Graph-Based Techniques for Visual Analytics of Scientific Data Sets.
Comput. Sci. Eng., 2018

Identifying nearly equally spaced isosurfaces for volumetric data sets.
Comput. Graph., 2018

CNVis: A Web-Based Visual Analytics Tool for Exploring Conference Navigator Data.
Proceedings of the Visualization and Data Analysis 2018, Burlingame, CA, USA, 28 January 2018, 2018

Visual Analysis of Collective Anomalies Through High-Order Correlation Graph.
Proceedings of the IEEE Pacific Visualization Symposium, 2018

2017
Visualization and recommendation of large image collections toward effective sensemaking.
Inf. Vis., 2017

Graphs in Scientific Visualization: A Survey.
Comput. Graph. Forum, 2017

ETGraph: A graph-based approach for visual analytics of eye-tracking data.
Comput. Graph., 2017

UNIXvisual: A Visualization Tool for Teaching UNIX Permissions.
Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017

Visual Analytics of Higher-order Dependencies in Sensor Data: Demo Abstract.
Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017

HoNVis: Visualizing and exploring higher-order networks.
Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

Efficient GPU-accelerated computation of isosurface similarity maps.
Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

2016
A Vocabulary Approach to Partial Streamline Matching and Exploratory Flow Visualization.
IEEE Trans. Vis. Comput. Graph., 2016

Mining Graphs for Understanding Time-Varying Volumetric Data.
IEEE Trans. Vis. Comput. Graph., 2016

Exploration of Linked Anomalies in Sensor Data for Suspicious Behavior Detection.
Int. J. Softw. Informatics, 2016

VesselMap: A web interface to explore multivariate vascular data.
Comput. Graph., 2016

FlowVisual: A Visualization App for Teaching and Understanding 3D Flow Field Concepts.
Proceedings of the Visualization and Data Analysis 2016, 2016

Peeling the flow: a sketch-based interface to generate stream surfaces.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016, 2016

UNIXvisual: A Visualization Tool for Teaching the UNIX Permission Model.
Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016

AESvisual: A Visualization Tool for the AES Cipher.
Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016

ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Extraction of Energy Information From Analog Meters Using Image Processing.
IEEE Trans. Smart Grid, 2015

Similarity-based visualization of large image collections.
Inf. Vis., 2015

Extracting flow features via supervised streamline segmentation.
Comput. Graph., 2015

A Survey of Graph-Based Representations and Techniques for Scientific Visualization.
Proceedings of the 17th Eurographics Conference on Visualization, 2015

iGraph: a graph-based technique for visual analytics of image and text collections.
Proceedings of the Visualization and Data Analysis 2015, 2015

RBACvisual: A Visualization Tool for Teaching Access Control using Role-based Access Control.
Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, 2015

VIGvisual: A Visualization Tool for the Vigenère Cipher.
Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, 2015

2014
A Deformation Framework for Focus+Context Flow Visualization.
IEEE Trans. Vis. Comput. Graph., 2014

A Graph-Based Interface for VisualAnalytics of 3D Streamlines and Pathlines.
IEEE Trans. Vis. Comput. Graph., 2014

Streamline similarity analysis using bag-of-features.
Proceedings of the Visualization and Data Analysis 2014, 2014

RSAvisual: a visualization tool for the RSA cipher.
Proceedings of the 45th ACM Technical Symposium on Computer Science Education, 2014

MLSvisual: a visualization tool for teaching access control using multi-level security.
Proceedings of the Innovation and Technology in Computer Science Education Conference 2014, 2014

SHAvisual: a secure hash algorithm visualization tool.
Proceedings of the Innovation and Technology in Computer Science Education Conference 2014, 2014

FlowString: Partial Streamline Matching Using Shape Invariant Similarity Measure for Exploratory Flow Visualization.
Proceedings of the IEEE Pacific Visualization Symposium, 2014

FlowTour: An Automatic Guide for Exploring Internal Flow Features.
Proceedings of the IEEE Pacific Visualization Symposium, 2014

2013
A Unified Approach to Streamline Selection and Viewpoint Selection for 3D Flow Visualization.
IEEE Trans. Vis. Comput. Graph., 2013

iMap: a stable layout for navigating large image collections with embedded search.
Proceedings of the Visualization and Data Analysis 2013, 2013

Coherent view-dependent streamline selection for importance-driven flow visualization.
Proceedings of the Visualization and Data Analysis 2013, 2013

FlowGraph: A compound hierarchical graph for flow field exploration.
Proceedings of the IEEE Pacific Visualization Symposium, 2013

iTree: Exploring time-varying data using indexable tree.
Proceedings of the IEEE Pacific Visualization Symposium, 2013

An evaluation of flow field visualization with internal views.
Proceedings of the ACM Symposium on Applied Perception 2013, 2013

2012
Hierarchical Streamline Bundles.
IEEE Trans. Vis. Comput. Graph., 2012

Coherent Time-Varying Graph Drawing with Multifocus+Context Interaction.
IEEE Trans. Vis. Comput. Graph., 2012

2011
Feature-Preserving Volume Data Reduction and Focus+Context Visualization.
IEEE Trans. Vis. Comput. Graph., 2011

TransGraph: Hierarchical Exploration of Transition Relationships in Time-Varying Volumetric Data.
IEEE Trans. Vis. Comput. Graph., 2011

Information Theory in Scientific Visualization.
Entropy, 2011

Analyzing information transfer in time-varying multivariate data.
Proceedings of the IEEE Pacific Visualization Symposium, 2011

Static correlation visualization for large time-varying volume data.
Proceedings of the IEEE Pacific Visualization Symposium, 2011

2010
In Situ Visualization for Large-Scale Combustion Simulations.
IEEE Computer Graphics and Applications, 2010

Application-Driven Compression for Visualizing Large-Scale Time-Varying Data.
IEEE Computer Graphics and Applications, 2010

AniViz: A Template-Based Animation Tool for Volume Visualization.
IEEE Computer Graphics and Applications, 2010

A Study of Hierarchical Correlation Clustering for Scientific Volume Data.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

A sketch-based interface for classifying and visualizing vector fields.
Proceedings of the IEEE Pacific Visualization Symposium PacificVis 2010, 2010

2009
Correlation study of time-varying multivariate climate data sets.
Proceedings of the IEEE Pacific Visualization Symposium PacificVis 2009, 2009

2008
Importance-Driven Time-Varying Data Visualization.
IEEE Trans. Vis. Comput. Graph., 2008

A Statistical Approach to Volume Data Quality Assessment.
IEEE Trans. Vis. Comput. Graph., 2008

Massively parallel volume rendering using 2-3 swap image compositing.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008

Social-aware collaborative visualization for large scientific projects.
Proceedings of the 2008 International Symposium on Collaborative Technologies and Systems, 2008

2007
Interactive Level-of-Detail Selection Using Image-Based Quality Metric for Large Volume Visualization.
IEEE Trans. Vis. Comput. Graph., 2007

Parallel hierarchical visualization of large time-varying 3D vector fields.
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007

2006
LOD Map - A Visual Interface for Navigating Multiresolution Volume Visualization.
IEEE Trans. Vis. Comput. Graph., 2006

2005
A parallel multiresolution volume rendering algorithm for large data visualization.
Parallel Comput., 2005

A Multiresolution Volume Rendering Framework for Large-Scale Time-Varying Data Visualization.
Proceedings of the 4th Eurographics / IEEE VGTC International Workshop on Volume Graphics, 2005

Hierarchical Navigation Interface: Leveraging Multiple Coordinated Views for Level-of-Detail Multiresolution Volume Rendering of Large Scientific Data Sets.
Proceedings of the 9th International Conference on Information Visualisation, 2005

2004
Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing.
Proceedings of the 5th Eurographics/ACM SIGGRAPH Symposium on Parallel Graphics and Visualization, 2004

2003
High Dimensional Direct Rendering of Time-Varying Volumetric Data.
Proceedings of the 14th IEEE Visualization Conference, 2003


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