Chaoli Wang
Orcid: 0000-0002-0859-3619Affiliations:
- 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:
Collaborative distances:
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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
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
Proceedings of the IEEE Visualization and Visual Analytics, 2024
Proceedings of the IEEE Visualization and Visual Analytics, 2024
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
Proceedings of the 14th IEEE Symposium on Large Data Analysis and Visualization, 2024
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
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
Proceedings of the Visualization and Data Analysis 2023, 2023
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
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes.
IEEE Trans. Vis. Comput. Graph., 2022
IEEE Trans. Vis. Comput. Graph., 2022
SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance.
CoRR, 2022
Comput. Graph. Forum, 2022
IEEE Computer Graphics and Applications, 2022
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
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022
2021
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
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
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021
2020
Vis. Informatics, 2020
Vis. Informatics, 2020
IEEE Trans. Vis. Comput. Graph., 2020
IEEE Trans. Vis. Comput. Graph., 2020
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
IEEE Trans. Vis. Comput. Graph., 2020
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
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
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
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
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
IEEE Trans. Vis. Comput. Graph., 2018
Comput. Sci. Eng., 2018
Comput. Graph., 2018
Proceedings of the Visualization and Data Analysis 2018, Burlingame, CA, USA, 28 January 2018, 2018
Proceedings of the IEEE Pacific Visualization Symposium, 2018
2017
Visualization and recommendation of large image collections toward effective sensemaking.
Inf. Vis., 2017
Comput. Graph., 2017
Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017
Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017
Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017
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
IEEE Trans. Vis. Comput. Graph., 2016
Int. J. Softw. Informatics, 2016
Comput. Graph., 2016
FlowVisual: A Visualization App for Teaching and Understanding 3D Flow Field Concepts.
Proceedings of the Visualization and Data Analysis 2016, 2016
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016, 2016
Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016
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
IEEE Trans. Smart Grid, 2015
Comput. Graph., 2015
Proceedings of the 17th Eurographics Conference on Visualization, 2015
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
Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, 2015
2014
IEEE Trans. Vis. Comput. Graph., 2014
IEEE Trans. Vis. Comput. Graph., 2014
Proceedings of the Visualization and Data Analysis 2014, 2014
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
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
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
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
Proceedings of the IEEE Pacific Visualization Symposium, 2013
Proceedings of the IEEE Pacific Visualization Symposium, 2013
Proceedings of the ACM Symposium on Applied Perception 2013, 2013
2012
IEEE Trans. Vis. Comput. Graph., 2012
2011
IEEE Trans. Vis. Comput. Graph., 2011
TransGraph: Hierarchical Exploration of Transition Relationships in Time-Varying Volumetric Data.
IEEE Trans. Vis. Comput. Graph., 2011
Proceedings of the IEEE Pacific Visualization Symposium, 2011
Proceedings of the IEEE Pacific Visualization Symposium, 2011
2010
IEEE Computer Graphics and Applications, 2010
IEEE Computer Graphics and Applications, 2010
IEEE Computer Graphics and Applications, 2010
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010
Proceedings of the IEEE Pacific Visualization Symposium PacificVis 2010, 2010
2009
Proceedings of the IEEE Pacific Visualization Symposium PacificVis 2009, 2009
2008
IEEE Trans. Vis. Comput. Graph., 2008
IEEE Trans. Vis. Comput. Graph., 2008
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008
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
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007
2006
IEEE Trans. Vis. Comput. Graph., 2006
2005
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
Proceedings of the 14th IEEE Visualization Conference, 2003