Chaoli Wang

180 papers A* 4A 10B 24C 2Misc 9Journal 106Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation.
IEEE Trans. Vis. Comput. Graph.
Delin An, Pan Du, Jian-Xun Wang, Chaoli Wang
2026 J jnl
MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data Compression.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Kaiyuan Tang, Chaoli Wang
2026 J jnl
NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting.
IEEE Trans. Vis. Comput. Graph.
Kuangshi Ai, Kaiyuan Tang, Chaoli Wang
2026 J jnl
SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation.
CoRR
Zixuan Pan, Kaiyuan Tang, Jun Xia, Yifan Qin, Lin Gu, Chaoli Wang, Jianxu Chen, Yiyu Shi
2026 J jnl
SVLAT: Scientific Visualization Literacy Assessment Test.
CoRR
Patrick Phuoc Do, Kaiyuan Tang, Kuangshi Ai, Chaoli Wang
2026 J jnl
SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents.
CoRR
Kuangshi Ai, Haichao Miao, Kaiyuan Tang, Nathaniel Gorski, Jianxin Sun, Guoxi Liu, Helgi I. Ingólfsson, David Lenz, Hanqi Guo, Hongfeng Yu, Teja Leburu, Michael Molash, Bei Wang, Tom Peterka, Chaoli Wang, Shusen Liu
2026 J jnl
Sketch2CT: Multimodal Diffusion for Structure-Aware 3D Medical Volume Generation.
CoRR
Delin An, Chaoli Wang
2026 J jnl
TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting.
IEEE Trans. Vis. Comput. Graph.
Kaiyuan Tang, Kuangshi Ai, Jun Han, Chaoli Wang
2026 J jnl
VolSegGS: Segmentation and Tracking in Dynamic Volumetric Scenes via Deformable 3D Gaussians.
IEEE Trans. Vis. Comput. Graph.
Siyuan Yao, Chaoli Wang
2025 J jnl
AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows.
CoRR
Pan Du, Delin An, Chaoli Wang, Jian-Xun Wang
2025 J jnl
An Evaluation-Centric Paradigm for Scientific Visualization Agents.
CoRR
Kuangshi Ai, Haichao Miao, Zhimin Li, Chaoli Wang, Shusen Liu
2025 J jnl
AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation.
CoRR
Delin An, Pan Du, Jian-Xun Wang, Chaoli Wang
2025 J jnl
EcoSphere: A Decision-Support Tool for Automated Carbon Emission and Cost Optimization in Sustainable Urban Development.
CoRR
Siavash Ghorbany, Ming Hu, Siyuan Yao, Matthew L. Sisk, Chaoli Wang
2025 J jnl
Hierarchical LoG Bayesian Neural Network for Enhanced Aorta Segmentation.
CoRR
Delin An, Pan Du, Pengfei Gu, Jian-Xun Wang, Chaoli Wang
2025 — conf
Hierarchical Log Bayesian Neural Network for Enhanced Aorta Segmentation.
ISBI
Delin An, Pan Du, Pengfei Gu, Jian-Xun Wang, Chaoli Wang
2025 J jnl
KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance.
CoRR
Kuangshi Ai, Jonathan A. Karr Jr., Meng Jiang, Nitesh V. Chawla, Chaoli Wang
2025 — conf
Leveraging Multimodal LLMs for Building Condition Assessment from Street-View Imagery.
ISVC (1)
Siyuan Yao, Siavash Ghorbany, Meghan Forstchen, Alexis Korotasz, Matthew L. Sisk, Ming Hu, Chaoli Wang
2025 J jnl
MC-INR: Efficient Encoding of Multivariate Scientific Simulation Data using Meta-Learning and Clustered Implicit Neural Representations.
CoRR
Hyunsoo Son, Jeonghyun Noh, Suemin Jeon, Chaoli Wang, Won-Ki Jeong
2025 B conf
Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation.
PacificVis
Maizhe Yang, Kaiyuan Tang, Chaoli Wang
2025 J jnl
Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation.
CoRR
Maizhe Yang, Kaiyuan Tang, Chaoli Wang
2025 J jnl
NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting.
CoRR
Kuangshi Ai, Kaiyuan Tang, Chaoli Wang
2025 J jnl
Preface.
IEEE Trans. Vis. Comput. Graph.
Tamara Munzner, Niklas Elmqvist, Holger Theisel, Matthew Kay, Adam Perer, Tatiana von Landesberger, Jiawan Zhang, Christoph Garth, Chaoli Wang, Pierre Dragicevic, Daniel F. Keefe, Filip Sadlo, Ivan Viola, Wenwen Dou, Steffen Koch
2025 J jnl
ReVolVE: Neural reconstruction of volumes for visualization enhancement of direct volume rendering.
Comput. Graph.
Siyuan Yao, Chaoli Wang
2025 — conf
Self Pre-Training with Topology- and Spatiality-Aware Masked Autoencoders for 3D Medical Image Segmentation.
BIBM
Pengfei Gu, Huimin Li, Yejia Zhang, Chaoli Wang, Danny Z. Chen
2025 A conf
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network.
WACV
Delin An, Pengfei Gu, Milan Sonka, Chaoli Wang, Danny Z. Chen
2025 J jnl
StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization.
IEEE Trans. Vis. Comput. Graph.
Kaiyuan Tang, Chaoli Wang
2025 J jnl
SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization.
CoRR
Delin An, Chaoli Wang
2025 J jnl
SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization.
IEEE Trans. Vis. Comput. Graph.
Delin An, Chaoli Wang
2025 J jnl
TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting.
CoRR
Kaiyuan Tang, Kuangshi Ai, Jun Han, Chaoli Wang
2025 A* conf
TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification.
ACM Multimedia
Pengfei Gu, Hongxiao Wang, Yejia Zhang, Huimin Li, Chaoli Wang, Danny Chen
2025 J jnl
TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification.
CoRR
Pengfei Gu, Hongxiao Wang, Yejia Zhang, Huimin Li, Chaoli Wang, Danny Chen
2025 B conf
ViSNeRF: Efficient Multidimensional Neural Radiance Field Representation for Visualization Synthesis of Dynamic Volumetric Scenes.
PacificVis
Siyuan Yao, Yunfei Lu, Chaoli Wang
2025 J jnl
ViSNeRF: Efficient Multidimensional Neural Radiance Field Representation for Visualization Synthesis of Dynamic Volumetric Scenes.
CoRR
Siyuan Yao, Yunfei Lu, Chaoli Wang
2025 J jnl
VolSegGS: Segmentation and Tracking in Dynamic Volumetric Scenes via Deformable 3D Gaussians.
CoRR
Siyuan Yao, Chaoli Wang
2025 J jnl
iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting.
CoRR
Kaiyuan Tang, Siyuan Yao, Chaoli Wang
2025 J jnl
iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting.
IEEE Trans. Vis. Comput. Graph.
Kaiyuan Tang, Siyuan Yao, Chaoli Wang
2024 A conf
A Comparative Study of Neural Surface Reconstruction for Scientific Visualization.
IEEE VIS
Siyuan Yao, Weixi Song, Chaoli Wang
2024 J jnl
A Comparative Study of Neural Surface Reconstruction for Scientific Visualization.
CoRR
Siyuan Yao, Weixi Song, Chaoli Wang
2024 J jnl
A single frame and multi-frame joint network for 360-degree panorama video super-resolution.
Eng. Appl. Artif. Intell.
Hongying Liu, Wanhao Ma, Zhubo Ruan, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Lijun Wang, Chaoli Wang, Dongmei Jiang
2024 — conf
Boosting Medical Image Classification with Segmentation Foundation Model.
ISBI
Pengfei Gu, Zihan Zhao, Hongxiao Wang, Yaopeng Peng, Yizhe Zhang, Nishchal Sapkota, Chaoli Wang, Danny Z. Chen
2024 J jnl
Boosting Medical Image Classification with Segmentation Foundation Model.
CoRR
Pengfei Gu, Zihan Zhao, Hongxiao Wang, Yaopeng Peng, Yizhe Zhang, Nishchal Sapkota, Chaoli Wang, Danny Z. Chen
2024 B conf
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets.
PacificVis
Kaiyuan Tang, Chaoli Wang
2024 A conf
FAVis: Visual Analytics of Factor Analysis for Psychological Research.
IEEE VIS
Yikai Lu, Chaoli Wang
2024 J jnl
FAVis: Visual Analytics of Factor Analysis for Psychological Research.
CoRR
Yikai Lu, Chaoli Wang
2024 A conf
FCNR: Fast Compressive Neural Representation of Visualization Images.
IEEE VIS
Yunfei Lu, Pengfei Gu, Chaoli Wang
2024 J jnl
FCNR: Fast Compressive Neural Representation of Visualization Images.
CoRR
Yunfei Lu, Pengfei Gu, Chaoli Wang
2024 — conf
IEEE LDAV 2024 Preface.
LDAV
Johanna Beyer, Steffen Frey, Guido Reina, Silvio Rizzi, Gunther H. Weber, Soumya Dutta, Nicole Marsaglia, Peer-Timo Bremer, Kenneth Moreland, Kristi Potter, Julien Tierny, Chaoli Wang, Hongfeng Yu
2024 — conf
Leveraging Zero-Shot Learning on Street-View Imagery for Built Environment Variable Analysis.
ISVC (2)
Siyuan Yao, Siavash Ghorbany, Matthew L. Sisk, Ming Hu, Chaoli Wang
2024 J jnl
STSR-INR: Spatiotemporal super-resolution for multivariate time-varying volumetric data via implicit neural representation.
Comput. Graph.
Kaiyuan Tang, Chaoli Wang
2024 J jnl
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation.
CoRR
Pengfei Gu, Yejia Zhang, Huimin Li, Hongxiao Wang, Yizhe Zhang, Chaoli Wang, Danny Z. Chen
2024 J jnl
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network.
CoRR
Delin An, Pengfei Gu, Milan Sonka, Chaoli Wang, Danny Z. Chen
2024 J jnl
StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization.
CoRR
Kaiyuan Tang, Chaoli Wang
2024 J jnl
Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: a case study.
Educ. Inf. Technol.
Xiaojing Duan, Bo Pei, G. Alex Ambrose, Arnon Hershkovitz, Ying Cheng, Chaoli Wang
2023 — conf
ArcheryVis: A Tool for Analyzing and Visualizing Archery Performance Data.
ISVC (1)
Zhiyuan Cheng, Zeyuan Li, Zhepeng Luo, Mayleen Liu, Jonathan D'Alonzo, Chaoli Wang
2023 — conf
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation.
ISBI
Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen
2023 J jnl
CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Chaoli Wang
2023 J jnl
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.
IEEE Trans. Vis. Comput. Graph.
Chaoli Wang, Jun Han
2023 J jnl
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets.
CoRR
Kaiyuan Tang, Chaoli Wang
2023 J jnl
GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization.
Comput. Graph.
Siyuan Yao, Jun Han, Chaoli Wang
2023 — conf
GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation.
ISBI
Yizhe Zhang, Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen
2023 J jnl
NeRVI: Compressive neural representation of visualization images for communicating volume visualization results.
Comput. Graph.
Pengfei Gu, Danny Z. Chen, Chaoli Wang
2023 J jnl
SD
IEEE Trans. Vis. Comput. Graph.
Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang
2023 Misc conf
Visualizing digital architectural data for heritage education.
Visualization and Data Analysis
Chase J. Brown, Siyuan Yao, Xiaoyun Zhang, Chad J. Brown, John B. Caven, Krupali U. Krusche, Chaoli Wang
2022 A conf
AQX: Explaining Air Quality Forecast for Verifying Domain Knowledge using Feature Importance Visualization.
IUI
Reshika Palaniyappan Velumani, Meng Xia, Jun Han, Chaoli Wang, Alexis Kai-Hon Lau, Huamin Qu
2022 J jnl
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation.
CoRR
Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen
2022 Misc conf
CoursePathVis: Course path visualization using flexible grouping and funnel-augmented Sankey diagram.
Visualization and Data Analysis
Brendan J. O'Handley, Morgan K. Ludwig, Samantha R. Allison, Michael T. Niemier, Shreya Kumar, Ramzi Bualuan, Chaoli Wang
2022 J jnl
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.
CoRR
Chaoli Wang, Jun Han
2022 — conf
Designing a Learning Analytics Dashboard to Provide Students with Actionable Feedback and Evaluating Its Impacts.
CSEDU (2)
Xiaojing Duan, Chaoli Wang, Guieswende Rouamba
2022 J jnl
SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance.
CoRR
Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang
2022 J jnl
SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and Visualization.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Chaoli Wang
2022 J jnl
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Hao Zheng, Danny Z. Chen, Chaoli Wang
2022 B conf
Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning.
PacificVis
Pengfei Gu, Jun Han, Danny Z. Chen, Chaoli Wang
2022 J jnl
SurfNet: Learning Surface Representations via Graph Convolutional Network.
Comput. Graph. Forum
Jun Han, Chaoli Wang
2022 J jnl
TSR-VFD: Generating temporal super-resolution for unsteady vector field data.
Comput. Graph.
Jun Han, Chaoli Wang
2022 J jnl
VCNet: A generative model for volume completion.
Vis. Informatics
Jun Han, Chaoli Wang
2022 J jnl
VisVisual: A Toolkit for Teaching and Learning Data Visualization.
IEEE Computer Graphics and Applications
Chaoli Wang
2021 J jnl
Guest Editors' Introduction: Special Section on IEEE PacificVis 2021.
IEEE Trans. Vis. Comput. Graph.
Nan Cao, Holger Theisel, Chaoli Wang
2021 — conf
Hierarchical Sankey Diagram: Design and Evaluation.
ISVC (2)
William P. Porter, Conor P. Murphy, Dane R. Williams, Brendan J. O'Handley, Chaoli Wang
2021 J jnl
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation.
CoRR
Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2021 — conf
Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation.
MICCAI (1)
Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2021 J jnl
Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising.
IEEE Computer Graphics and Applications
Pengfei Gu, Jun Han, Danny Z. Chen, Chaoli Wang
2021 J jnl
SurfRiver: Flattening Stream Surfaces for Comparative Visualization.
IEEE Trans. Vis. Comput. Graph.
Jun Zhang, Jun Tao, Jian-Xun Wang, Chaoli Wang
2021 J jnl
V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Hao Zheng, Yunhao Xing, Danny Z. Chen, Chaoli Wang
2021 — conf
kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation.
MICCAI (1)
Pengfei Gu, Hao Zheng, Yizhe Zhang, Chaoli Wang, Danny Z. Chen
2020 A* conf
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training.
AAAI
Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen
2020 J jnl
AntVis: A web-based visual analytics tool for exploring ant movement data.
Vis. Informatics
Tianxiao Hu, Hao Zheng, Chen Liang, Sirou Zhu, Natalie Imirzian, Yizhe Zhang, Chaoli Wang, David P. Hughes, Danny Z. Chen
2020 — conf
Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation.
MICCAI (1)
Hao Zheng, Susan M. Motch Perrine, M. Kathleen Pitirri, Kazuhiko Kawasaki, Chaoli Wang, Joan T. Richtsmeier, Danny Z. Chen
2020 J jnl
Eiffel: Evolutionary Flow Map for Influence Graph Visualization.
IEEE Trans. Vis. Comput. Graph.
Yucheng Huang, Lei Shi, Yue Su, Yifan Hu, Hanghang Tong, Chaoli Wang, Tong Yang, Deyun Wang, Shuo Liang
2020 J jnl
FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Jun Tao, Chaoli Wang
2020 J jnl
Guest Editors' Introduction: Special Section on IEEE PacificVis 2020.
IEEE Trans. Vis. Comput. Graph.
Fabian Beck, Jinwook Seo, Chaoli Wang
2020 J jnl
OnionGraph: Hierarchical topology+attribute multivariate network visualization.
Vis. Informatics
Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Chaoli Wang, Chuang Lin, Weihong Qian
2020 B conf
SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization.
PacificVis
Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Han Gao, Danny Z. Chen, Jian-Xun Wang, Chaoli Wang
2020 J jnl
Spectrum-preserving sparsification for visualization of big graphs.
Comput. Graph.
Martin Imre, Jun Tao, Yongyu Wang, Zhiqiang Zhao, Zhuo Feng, Chaoli Wang
2020 J jnl
TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and Visualization.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Chaoli Wang
2020 J jnl
Visual Analysis of Collective Anomalies Using Faceted High-Order Correlation Graphs.
IEEE Trans. Vis. Comput. Graph.
Jia Yan, Lei Shi, Jun Tao, Xiaolong Yu, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang, Yang Chen
2020 J jnl
Visualization Laboratory at University of Notre Dame.
Vis. Informatics
Chaoli Wang
2019 — conf
A Deep Learning Approach to Selecting Representative Time Steps for Time-Varying Multivariate Data.
IEEE VIS (Short Papers)
William P. Porter, Yunhao Xing, Blaise R. von Ohlen, Jun Han, Chaoli Wang
2019 A* conf
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation.
AAAI
Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2019 J jnl
A unified framework for exploring time-varying volumetric data based on block correspondence.
Vis. Informatics
Kecheng Lu, Chaoli Wang, Keqin Wu, Minglun Gong, Yunhai Wang
2019 — ed.
Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part I
ISVC (1)
George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu
2019 — ed.
Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part II
ISVC (2)
George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu
2019 A* conf
Biomedical Image Segmentation via Representative Annotation.
AAAI
Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2019 Misc conf
CCVis: Visual Analytics of Student Online Learning Behaviors Using Course Clickstream Data.
Visualization and Data Analysis
Maggie Celeste Goulden, Eric Gronda, Yurou Yang, Zihang Zhang, Jun Tao, Chaoli Wang, Xiaojing Duan, G. Alex Ambrose, Kevin Abbott, Patrick Miller
2019 — conf
ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data.
ISVC (1)
Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang
2019 J jnl
Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps.
IEEE Trans. Vis. Comput. Graph.
Jun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gokhan Sever, Seung Hyun Kim
2019 J jnl
Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning.
IEEE Computer Graphics and Applications
Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang
2019 — conf
HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion.
MICCAI (2)
Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2019 J jnl
Moving with the flow: an automatic tour of unsteady flow fields.
J. Vis.
Jun Ma, Jun Tao, Chaoli Wang, Can Li, Ching-Kuang Shene, Seung Hyun Kim
2019 J jnl
PerformanceVis: Visual analytics of student performance data from an introductory chemistry course.
Vis. Informatics
Haozhang Deng, Xuemeng Wang, Zhiyi Guo, Ashley Decker, Xiaojing Duan, Chaoli Wang, G. Alex Ambrose, Kevin Abbott
2018 J jnl
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation.
CoRR
Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2018 Misc conf
CNVis: A Web-Based Visual Analytics Tool for Exploring Conference Navigator Data.
Visualization and Data Analysis
Samuel M. Bailey, Justin A. Wei, Chaoli Wang, Denis Parra, Peter Brusilovsky
2018 J jnl
Graph-Based Techniques for Visual Analytics of Scientific Data Sets.
Comput. Sci. Eng.
Chaoli Wang
2018 J jnl
Identifying nearly equally spaced isosurfaces for volumetric data sets.
Comput. Graph.
Martin Imre, Jun Tao, Chaoli Wang
2018 J jnl
Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields.
IEEE Trans. Vis. Comput. Graph.
Jun Tao, Chaoli Wang, Nitesh V. Chawla, Lei Shi, Seung Hyun Kim
2018 J jnl
Semi-Automatic Generation of Stream Surfaces via Sketching.
IEEE Trans. Vis. Comput. Graph.
Jun Tao, Chaoli Wang
2018 B conf
Visual Analysis of Collective Anomalies Through High-Order Correlation Graph.
PacificVis
Jun Tao, Lei Shi, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang, Yang Chen
2017 J jnl
ETGraph: A graph-based approach for visual analytics of eye-tracking data.
Comput. Graph.
Yi Gu, Chaoli Wang, Robert Bixler, Sidney K. D'Mello
2017 B conf
Efficient GPU-accelerated computation of isosurface similarity maps.
PacificVis
Martin Imre, Jun Tao, Chaoli Wang
2017 J jnl
Graphs in Scientific Visualization: A Survey.
Comput. Graph. Forum
Chaoli Wang, Jun Tao
2017 J jnl
HoNVis: Visualizing and Exploring Higher-Order Networks.
CoRR
Jun Tao, Jian Xu, Chaoli Wang, Nitesh V. Chawla
2017 B conf
HoNVis: Visualizing and exploring higher-order networks.
PacificVis
Jun Tao, Jian Xu, Chaoli Wang, Nitesh V. Chawla
2017 B conf
UNIXvisual: A Visualization Tool for Teaching UNIX Permissions.
ITiCSE
Man Wang, Jean Mayo, Ching-Kuang Shene, Steve Carr, Chaoli Wang
2017 — conf
Visual Analytics of Higher-order Dependencies in Sensor Data: Demo Abstract.
IoTDI
Jian Xu, Jun Tao, Nitesh V. Chawla, Chaoli Wang
2017 J jnl
Visualization and recommendation of large image collections toward effective sensemaking.
Inf. Vis.
Yi Gu, Chaoli Wang, Jun Ma, Robert J. Nemiroff, David L. Kao, Denis Parra
2016 J jnl
A Vocabulary Approach to Partial Streamline Matching and Exploratory Flow Visualization.
IEEE Trans. Vis. Comput. Graph.
Jun Tao, Chaoli Wang, Ching-Kuang Shene, Raymond A. Shaw
2016 A conf
ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era.
CIKM
Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu
2016 B conf
AESvisual: A Visualization Tool for the AES Cipher.
ITiCSE
Jun Ma, Jun Tao, Jean Mayo, Ching-Kuang Shene, Melissa S. Keranen, Chaoli Wang
2016 J jnl
Exploration of Linked Anomalies in Sensor Data for Suspicious Behavior Detection.
Int. J. Softw. Informatics
Ian Turk, Matthew Sinda, Xin'an Zhou, Jun Tao, Chaoli Wang, Qi Liao
2016 Misc conf
FlowVisual: A Visualization App for Teaching and Understanding 3D Flow Field Concepts.
Visualization and Data Analysis
Man Wang, Jun Tao, Jun Ma, Yang Shen, Chaoli Wang
2016 J jnl
Mining Graphs for Understanding Time-Varying Volumetric Data.
IEEE Trans. Vis. Comput. Graph.
Yi Gu, Chaoli Wang, Tom Peterka, Robert L. Jacob, Seung Hyun Kim
2016 — conf
Peeling the flow: a sketch-based interface to generate stream surfaces.
SIGGRAPH Asia Symposium on Visualization
Jun Tao, Chaoli Wang
2016 B conf
UNIXvisual: A Visualization Tool for Teaching the UNIX Permission Model.
ITiCSE
Man Wang, Jean Mayo, Ching-Kuang Shene, Steve Carr, Chaoli Wang
2016 J jnl
VesselMap: A web interface to explore multivariate vascular data.
Comput. Graph.
Jun Tao, Xiaoke Huang, Feng Qiu, Chaoli Wang, Jingfeng Jiang, Ching-Kuang Shene, Ye Zhao, Daphne Yu
2015 — conf
A Survey of Graph-Based Representations and Techniques for Scientific Visualization.
EuroVis (STARs)
Chaoli Wang
2015 J jnl
Extracting flow features via supervised streamline segmentation.
Comput. Graph.
Yifei Li, Chaoli Wang, Ching-Kuang Shene
2015 J jnl
Extraction of Energy Information From Analog Meters Using Image Processing.
IEEE Trans. Smart Grid
Yachen Tang, Chee-Wooi Ten, Chaoli Wang, Gordon Parker
2015 B conf
RBACvisual: A Visualization Tool for Teaching Access Control using Role-based Access Control.
ITiCSE
Man Wang, Jean Mayo, Ching-Kuang Shene, Thomas Lake, Steve Carr, Chaoli Wang
2015 J jnl
Similarity-based visualization of large image collections.
Inf. Vis.
Chaoli Wang, John P. Reese, Huan Zhang, Jun Tao, Yi Gu, Jun Ma, Robert J. Nemiroff
2015 B conf
VIGvisual: A Visualization Tool for the Vigenère Cipher.
ITiCSE
Can Li, Jun Ma, Jun Tao, Jean Mayo, Ching-Kuang Shene, Melissa S. Keranen, Chaoli Wang
2015 Misc conf
iGraph: a graph-based technique for visual analytics of image and text collections.
Visualization and Data Analysis
Yi Gu, Chaoli Wang, Jun Ma, Robert J. Nemiroff, David L. Kao
2014 J jnl
A Deformation Framework for Focus+Context Flow Visualization.
IEEE Trans. Vis. Comput. Graph.
Jun Tao, Chaoli Wang, Ching-Kuang Shene, Seung Hyun Kim
2014 J jnl
A Graph-Based Interface for VisualAnalytics of 3D Streamlines and Pathlines.
IEEE Trans. Vis. Comput. Graph.
Jun Ma, Chaoli Wang, Ching-Kuang Shene, Jingfeng Jiang
2014 B conf
FlowString: Partial Streamline Matching Using Shape Invariant Similarity Measure for Exploratory Flow Visualization.
PacificVis
Jun Tao, Chaoli Wang, Ching-Kuang Shene
2014 B conf
FlowTour: An Automatic Guide for Exploring Internal Flow Features.
PacificVis
Jun Ma, James W. Walker, Chaoli Wang, Scott A. Kuhl, Ching-Kuang Shene
2014 B conf
MLSvisual: a visualization tool for teaching access control using multi-level security.
ITiCSE
Man Wang, Steve Carr, Jean Mayo, Ching-Kuang Shene, Chaoli Wang
2014 A conf
RSAvisual: a visualization tool for the RSA cipher.
SIGCSE
Jun Tao, Jun Ma, Melissa S. Keranen, Jean Mayo, Ching-Kuang Shene, Chaoli Wang
2014 B conf
SHAvisual: a secure hash algorithm visualization tool.
ITiCSE
Jun Ma, Jun Tao, Melissa S. Keranen, Jean Mayo, Ching-Kuang Shene, Chaoli Wang
2014 Misc conf
Streamline similarity analysis using bag-of-features.
Visualization and Data Analysis
Yifei Li, Chaoli Wang, Ching-Kuang Shene
2013 J jnl
A Unified Approach to Streamline Selection and Viewpoint Selection for 3D Flow Visualization.
IEEE Trans. Vis. Comput. Graph.
Jun Tao, Jun Ma, Chaoli Wang, Ching-Kuang Shene
2013 B conf
An evaluation of flow field visualization with internal views.
SAP
James W. Walker, Jun Ma, Scott A. Kuhl, Chaoli Wang
2013 Misc conf
Coherent view-dependent streamline selection for importance-driven flow visualization.
Visualization and Data Analysis
Jun Ma, Chaoli Wang, Ching-Kuang Shene
2013 B conf
FlowGraph: A compound hierarchical graph for flow field exploration.
PacificVis
Jun Ma, Chaoli Wang, Ching-Kuang Shene
2013 Misc conf
iMap: a stable layout for navigating large image collections with embedded search.
Visualization and Data Analysis
Chaoli Wang, John P. Reese, Huan Zhang, Jun Tao, Robert J. Nemiroff
2013 B conf
iTree: Exploring time-varying data using indexable tree.
PacificVis
Yi Gu, Chaoli Wang
2012 J jnl
Coherent Time-Varying Graph Drawing with Multifocus+Context Interaction.
IEEE Trans. Vis. Comput. Graph.
Kun-Chuan Feng, Chaoli Wang, Han-Wei Shen, Tong-Yee Lee
2012 J jnl
DTEvisual: a visualization system for teaching access control using Domain Type Enforcement.
J. Comput. Sci. Coll.
Yifei Li, Steve Carr, Jean Mayo, Ching-Kuang Shene, Chaoli Wang
2012 J jnl
Hierarchical Streamline Bundles.
IEEE Trans. Vis. Comput. Graph.
Hongfeng Yu, Chaoli Wang, Ching-Kuang Shene, Jacqueline H. Chen
2011 B conf
Analyzing information transfer in time-varying multivariate data.
PacificVis
Chaoli Wang, Hongfeng Yu, Ray W. Grout, Kwan-Liu Ma, Jacqueline H. Chen
2011 J jnl
Feature-Preserving Volume Data Reduction and Focus+Context Visualization.
IEEE Trans. Vis. Comput. Graph.
Yu-Shuen Wang, Chaoli Wang, Tong-Yee Lee, Kwan-Liu Ma
2011 J jnl
Information Theory in Scientific Visualization.
Entropy
Chaoli Wang, Han-Wei Shen
2011 B conf
Static correlation visualization for large time-varying volume data.
PacificVis
Cheng-Kai Chen, Chaoli Wang, Kwan-Liu Ma, Andrew T. Wittenberg
2011 J jnl
TransGraph: Hierarchical Exploration of Transition Relationships in Time-Varying Volumetric Data.
IEEE Trans. Vis. Comput. Graph.
Yi Gu, Chaoli Wang
2010 — conf
A Study of Hierarchical Correlation Clustering for Scientific Volume Data.
ISVC (3)
Yi Gu, Chaoli Wang
2010 B conf
A sketch-based interface for classifying and visualizing vector fields.
PacificVis
Jishang Wei, Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
2010 J jnl
AniViz: A Template-Based Animation Tool for Volume Visualization.
IEEE Computer Graphics and Applications
Hiroshi Akiba, Chaoli Wang, Kwan-Liu Ma
2010 J jnl
Application-Driven Compression for Visualizing Large-Scale Time-Varying Data.
IEEE Computer Graphics and Applications
Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
2010 J jnl
In Situ Visualization for Large-Scale Combustion Simulations.
IEEE Computer Graphics and Applications
Hongfeng Yu, Chaoli Wang, Ray W. Grout, Jacqueline H. Chen, Kwan-Liu Ma
2009 B conf
Correlation study of time-varying multivariate climate data sets.
PacificVis
Jeffrey Sukharev, Chaoli Wang, Kwan-Liu Ma, Andrew T. Wittenberg
2008 J jnl
A Statistical Approach to Volume Data Quality Assessment.
IEEE Trans. Vis. Comput. Graph.
Chaoli Wang, Kwan-Liu Ma
2008 J jnl
Importance-Driven Time-Varying Data Visualization.
IEEE Trans. Vis. Comput. Graph.
Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
2008 A conf
Massively parallel volume rendering using 2-3 swap image compositing.
SC
Hongfeng Yu, Chaoli Wang, Kwan-Liu Ma
2008 — conf
Social-aware collaborative visualization for large scientific projects.
CTS
Kwan-Liu Ma, Chaoli Wang
2007 J jnl
Interactive Level-of-Detail Selection Using Image-Based Quality Metric for Large Volume Visualization.
IEEE Trans. Vis. Comput. Graph.
Chaoli Wang, Antonio Garcia, Han-Wei Shen
2007 A conf
Parallel hierarchical visualization of large time-varying 3D vector fields.
SC
Hongfeng Yu, Chaoli Wang, Kwan-Liu Ma
2006 J jnl
LOD Map - A Visual Interface for Navigating Multiresolution Volume Visualization.
IEEE Trans. Vis. Comput. Graph.
Chaoli Wang, Han-Wei Shen
2005 — conf
A Multiresolution Volume Rendering Framework for Large-Scale Time-Varying Data Visualization.
VG
Chaoli Wang, Jinzhu Gao, Liya Li, Han-Wei Shen
2005 J jnl
A parallel multiresolution volume rendering algorithm for large data visualization.
Parallel Comput.
Jinzhu Gao, Chaoli Wang, Liya Li, Han-Wei Shen
2005 C conf
Hierarchical Navigation Interface: Leveraging Multiple Coordinated Views for Level-of-Detail Multiresolution Volume Rendering of Large Scientific Data Sets.
IV
Chaoli Wang, Han-Wei Shen
2004 C conf
Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing.
EGPGV
Chaoli Wang, Jinzhu Gao, Han-Wei Shen
2003 A conf
High Dimensional Direct Rendering of Time-Varying Volumetric Data.
IEEE Visualization
Jonathan Woodring, Chaoli Wang, Han-Wei Shen