Chaoli Wang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 85

Top Venues

IEEE Trans. Vis. Comput. Graph.

CoRR

Comput. Graph.

PacificVis

Publications

Yunfei Lu, Pengfei Gu, Chaoli Wang
FCNR: Fast Compressive Neural Representation of Visualization Images. CoRR (2024)
Kaiyuan Tang, Chaoli Wang
STSR-INR: Spatiotemporal super-resolution for multivariate time-varying volumetric data via implicit neural representation. Comput. Graph. 119 (2024)
Pengfei Gu, Yejia Zhang, Huimin Li, Hongxiao Wang, Yizhe Zhang, Chaoli Wang, Danny Z. Chen
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation. CoRR (2024)
Hongying Liu, Wanhao Ma, Zhubo Ruan, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Lijun Wang, Chaoli Wang, Dongmei Jiang
A single frame and multi-frame joint network for 360-degree panorama video super-resolution. Eng. Appl. Artif. Intell. 134 (2024)
Yikai Lu, Chaoli Wang
FAVis: Visual Analytics of Factor Analysis for Psychological Research. CoRR (2024)
Kaiyuan Tang, Chaoli Wang
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets. PacificVis (2024)
Xiaojing Duan, Bo Pei, G. Alex Ambrose, Arnon Hershkovitz, Ying Cheng, Chaoli Wang
Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: a case study. Educ. Inf. Technol. 29 (3) (2024)
Pengfei Gu, Zihan Zhao, Hongxiao Wang, Yaopeng Peng, Yizhe Zhang, Nishchal Sapkota, Chaoli Wang, Danny Z. Chen
Boosting Medical Image Classification with Segmentation Foundation Model. CoRR (2024)
Siyuan Yao, Weixi Song, Chaoli Wang
A Comparative Study of Neural Surface Reconstruction for Scientific Visualization. CoRR (2024)
Yizhe Zhang, Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen
GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation. ISBI (2023)
Pengfei Gu, Danny Z. Chen, Chaoli Wang
NeRVI: Compressive neural representation of visualization images for communicating volume visualization results. Comput. Graph. 116 (2023)
Jun Han, Chaoli Wang
CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network. IEEE Trans. Vis. Comput. Graph. 29 (12) (2023)
Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang
: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance. IEEE Trans. Vis. Comput. Graph. 29 (8) (2023)
Chaoli Wang, Jun Han
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization. IEEE Trans. Vis. Comput. Graph. 29 (8) (2023)
Chase J. Brown, Siyuan Yao, Xiaoyun Zhang, Chad J. Brown, John B. Caven, Krupali U. Krusche, Chaoli Wang
Visualizing digital architectural data for heritage education. Visualization and Data Analysis (2023)
Siyuan Yao, Jun Han, Chaoli Wang
GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization. Comput. Graph. 112 (2023)
Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation. ISBI (2023)
Jun Han, Chaoli Wang
SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and Visualization. IEEE Trans. Vis. Comput. Graph. 28 (6) (2022)
Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation. CoRR (2022)
Jun Han, Chaoli Wang
VCNet: A generative model for volume completion. Vis. Informatics 6 (2) (2022)
Reshika Palaniyappan Velumani, Meng Xia, Jun Han, Chaoli Wang, Alexis Kai-Hon Lau, Huamin Qu
AQX: Explaining Air Quality Forecast for Verifying Domain Knowledge using Feature Importance Visualization. IUI (2022)
Brendan J. O'Handley, Morgan K. Ludwig, Samantha R. Allison, Michael T. Niemier, Shreya Kumar, Ramzi Bualuan, Chaoli Wang
CoursePathVis: Course path visualization using flexible grouping and funnel-augmented Sankey diagram. Visualization and Data Analysis (2022)
Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang
SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance. CoRR (2022)
Jun Han, Chaoli Wang
TSR-VFD: Generating temporal super-resolution for unsteady vector field data. Comput. Graph. 103 (2022)
Jun Han, Hao Zheng, Danny Z. Chen, Chaoli Wang
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Pengfei Gu, Jun Han, Danny Z. Chen, Chaoli Wang
Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning. PacificVis (2022)
Xiaojing Duan, Chaoli Wang, Guieswende Rouamba
Designing a Learning Analytics Dashboard to Provide Students with Actionable Feedback and Evaluating Its Impacts. CSEDU (2) (2022)
Chaoli Wang, Jun Han
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization. CoRR (2022)
Chaoli Wang
VisVisual: A Toolkit for Teaching and Learning Data Visualization. IEEE Computer Graphics and Applications 42 (4) (2022)
Jun Han, Chaoli Wang
SurfNet: Learning Surface Representations via Graph Convolutional Network. Comput. Graph. Forum 41 (3) (2022)
Nan Cao, Holger Theisel, Chaoli Wang
Guest Editors' Introduction: Special Section on IEEE PacificVis 2021. IEEE Trans. Vis. Comput. Graph. 27 (6) (2021)
William P. Porter, Conor P. Murphy, Dane R. Williams, Brendan J. O'Handley, Chaoli Wang
Hierarchical Sankey Diagram: Design and Evaluation. ISVC (2) (2021)
Pengfei Gu, Hao Zheng, Yizhe Zhang, Chaoli Wang, Danny Z. Chen
kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation. MICCAI (1) (2021)
Jun Zhang, Jun Tao, Jian-Xun Wang, Chaoli Wang
SurfRiver: Flattening Stream Surfaces for Comparative Visualization. IEEE Trans. Vis. Comput. Graph. 27 (6) (2021)
Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation. MICCAI (1) (2021)
Pengfei Gu, Jun Han, Danny Z. Chen, Chaoli Wang
Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising. IEEE Computer Graphics and Applications 41 (6) (2021)
Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation. CoRR (2021)
Jun Han, Hao Zheng, Yunhao Xing, Danny Z. Chen, Chaoli Wang
V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Hao Zheng, Susan M. Motch Perrine, M. Kathleen Pitirri, Kazuhiko Kawasaki, Chaoli Wang, Joan T. Richtsmeier, Danny Z. Chen
Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation. MICCAI (1) (2020)
Fabian Beck, Jinwook Seo, Chaoli Wang
Guest Editors' Introduction: Special Section on IEEE PacificVis 2020. IEEE Trans. Vis. Comput. Graph. 26 (6) (2020)
Jun Han, Jun Tao, Chaoli Wang
FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces. IEEE Trans. Vis. Comput. Graph. 26 (4) (2020)
Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. AAAI (2020)
Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Han Gao, Danny Z. Chen, Jian-Xun Wang, Chaoli Wang
SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization. PacificVis (2020)
Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Chaoli Wang, Chuang Lin, Weihong Qian
OnionGraph: Hierarchical topology+attribute multivariate network visualization. Vis. Informatics 4 (1) (2020)
Jia Yan, Lei Shi, Jun Tao, Xiaolong Yu, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang, Yang Chen
Visual Analysis of Collective Anomalies Using Faceted High-Order Correlation Graphs. IEEE Trans. Vis. Comput. Graph. 26 (7) (2020)
Martin Imre, Jun Tao, Yongyu Wang, Zhiqiang Zhao, Zhuo Feng, Chaoli Wang
Spectrum-preserving sparsification for visualization of big graphs. Comput. Graph. 87 (2020)
Jun Han, Chaoli Wang
TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and Visualization. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Tianxiao Hu, Hao Zheng, Chen Liang, Sirou Zhu, Natalie Imirzian, Yizhe Zhang, Chaoli Wang, David P. Hughes, Danny Z. Chen
AntVis: A web-based visual analytics tool for exploring ant movement data. Vis. Informatics 4 (1) (2020)
Yucheng Huang, Lei Shi, Yue Su, Yifan Hu, Hanghang Tong, Chaoli Wang, Tong Yang, Deyun Wang, Shuo Liang
Eiffel: Evolutionary Flow Map for Influence Graph Visualization. IEEE Trans. Vis. Comput. Graph. 26 (10) (2020)
Chaoli Wang
Visualization Laboratory at University of Notre Dame. Vis. Informatics 4 (3) (2020)
Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang
Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning. IEEE Computer Graphics and Applications 39 (4) (2019)
Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang
ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data. ISVC (1) (2019)
Haozhang Deng, Xuemeng Wang, Zhiyi Guo, Ashley Decker, Xiaojing Duan, Chaoli Wang, G. Alex Ambrose, Kevin Abbott
PerformanceVis: Visual analytics of student performance data from an introductory chemistry course. Vis. Informatics 3 (4) (2019)
Maggie Celeste Goulden, Eric Gronda, Yurou Yang, Zihang Zhang, Jun Tao, Chaoli Wang, Xiaojing Duan, G. Alex Ambrose, Kevin Abbott, Patrick Miller
CCVis: Visual Analytics of Student Online Learning Behaviors Using Course Clickstream Data. Visualization and Data Analysis (2019)
Jun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gokhan Sever, Seung Hyun Kim
Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
Biomedical Image Segmentation via Representative Annotation. AAAI (2019)
Kecheng Lu, Chaoli Wang, Keqin Wu, Minglun Gong, Yunhai Wang
A unified framework for exploring time-varying volumetric data based on block correspondence. Vis. Informatics 3 (4) (2019)
Jun Ma, Jun Tao, Chaoli Wang, Can Li, Ching-Kuang Shene, Seung Hyun Kim
Moving with the flow: an automatic tour of unsteady flow fields. J. Vis. 22 (6) (2019)
Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion. MICCAI (2) (2019)
Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. AAAI (2019)
William P. Porter, Yunhao Xing, Blaise R. von Ohlen, Jun Han, Chaoli Wang
A Deep Learning Approach to Selecting Representative Time Steps for Time-Varying Multivariate Data. IEEE VIS (Short Papers) (2019)
Jun Tao, Chaoli Wang, Nitesh V. Chawla, Lei Shi, Seung Hyun Kim
Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields. IEEE Trans. Vis. Comput. Graph. 24 (12) (2018)
Chaoli Wang
Graph-Based Techniques for Visual Analytics of Scientific Data Sets. Comput. Sci. Eng. 20 (1) (2018)
Jun Tao, Lei Shi, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang, Yang Chen
Visual Analysis of Collective Anomalies Through High-Order Correlation Graph. PacificVis (2018)
Martin Imre, Jun Tao, Chaoli Wang
Identifying nearly equally spaced isosurfaces for volumetric data sets. Comput. Graph. 72 (2018)
Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. CoRR (2018)
Samuel M. Bailey, Justin A. Wei, Chaoli Wang, Denis Parra, Peter Brusilovsky
CNVis: A Web-Based Visual Analytics Tool for Exploring Conference Navigator Data. Visualization and Data Analysis (2018)
Jun Tao, Chaoli Wang
Semi-Automatic Generation of Stream Surfaces via Sketching. IEEE Trans. Vis. Comput. Graph. 24 (9) (2018)
Man Wang, Jean Mayo, Ching-Kuang Shene, Steve Carr, Chaoli Wang
UNIXvisual: A Visualization Tool for Teaching UNIX Permissions. ITiCSE (2017)
Jian Xu, Jun Tao, Nitesh V. Chawla, Chaoli Wang
Visual Analytics of Higher-order Dependencies in Sensor Data: Demo Abstract. IoTDI (2017)
Jun Tao, Jian Xu, Chaoli Wang, Nitesh V. Chawla
HoNVis: Visualizing and Exploring Higher-Order Networks. CoRR (2017)
Jun Tao, Jian Xu, Chaoli Wang, Nitesh V. Chawla
HoNVis: Visualizing and exploring higher-order networks. PacificVis (2017)
Martin Imre, Jun Tao, Chaoli Wang
Efficient GPU-accelerated computation of isosurface similarity maps. PacificVis (2017)
Yi Gu, Chaoli Wang, Jun Ma, Robert J. Nemiroff, David L. Kao, Denis Parra
Visualization and recommendation of large image collections toward effective sensemaking. Inf. Vis. 16 (1) (2017)
Yi Gu, Chaoli Wang, Robert Bixler, Sidney K. D'Mello
ETGraph: A graph-based approach for visual analytics of eye-tracking data. Comput. Graph. 62 (2017)
Chaoli Wang, Jun Tao
Graphs in Scientific Visualization: A Survey. Comput. Graph. Forum 36 (1) (2017)
Man Wang, Jean Mayo, Ching-Kuang Shene, Steve Carr, Chaoli Wang
UNIXvisual: A Visualization Tool for Teaching the UNIX Permission Model. ITiCSE (2016)
Jun Tao, Xiaoke Huang, Feng Qiu, Chaoli Wang, Jingfeng Jiang, Ching-Kuang Shene, Ye Zhao, Daphne Yu
VesselMap: A web interface to explore multivariate vascular data. Comput. Graph. 59 (2016)
Jun Ma, Jun Tao, Jean Mayo, Ching-Kuang Shene, Melissa S. Keranen, Chaoli Wang
AESvisual: A Visualization Tool for the AES Cipher. ITiCSE (2016)
Yi Gu, Chaoli Wang, Tom Peterka, Robert L. Jacob, Seung Hyun Kim
Mining Graphs for Understanding Time-Varying Volumetric Data. IEEE Trans. Vis. Comput. Graph. 22 (1) (2016)
Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu
ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era. CIKM (2016)
Ian Turk, Matthew Sinda, Xin'an Zhou, Jun Tao, Chaoli Wang, Qi Liao
Exploration of Linked Anomalies in Sensor Data for Suspicious Behavior Detection. Int. J. Softw. Informatics 10 (3) (2016)
Jun Tao, Chaoli Wang
Peeling the flow: a sketch-based interface to generate stream surfaces. SIGGRAPH Asia Symposium on Visualization (2016)
Jun Tao, Chaoli Wang, Ching-Kuang Shene, Raymond A. Shaw
A Vocabulary Approach to Partial Streamline Matching and Exploratory Flow Visualization. IEEE Trans. Vis. Comput. Graph. 22 (5) (2016)
Man Wang, Jun Tao, Jun Ma, Yang Shen, Chaoli Wang
FlowVisual: A Visualization App for Teaching and Understanding 3D Flow Field Concepts. Visualization and Data Analysis (2016)
Chaoli Wang, John P. Reese, Huan Zhang, Jun Tao, Yi Gu, Jun Ma, Robert J. Nemiroff
Similarity-based visualization of large image collections. Inf. Vis. 14 (3) (2015)
Chaoli Wang
A Survey of Graph-Based Representations and Techniques for Scientific Visualization. EuroVis (STARs) (2015)
Man Wang, Jean Mayo, Ching-Kuang Shene, Thomas Lake, Steve Carr, Chaoli Wang
RBACvisual: A Visualization Tool for Teaching Access Control using Role-based Access Control. ITiCSE (2015)
Yi Gu, Chaoli Wang, Jun Ma, Robert J. Nemiroff, David L. Kao
iGraph: a graph-based technique for visual analytics of image and text collections. Visualization and Data Analysis (2015)
Yifei Li, Chaoli Wang, Ching-Kuang Shene
Extracting flow features via supervised streamline segmentation. Comput. Graph. 52 (2015)
Can Li, Jun Ma, Jun Tao, Jean Mayo, Ching-Kuang Shene, Melissa S. Keranen, Chaoli Wang
VIGvisual: A Visualization Tool for the Vigenère Cipher. ITiCSE (2015)
Yachen Tang, Chee-Wooi Ten, Chaoli Wang, Gordon Parker
Extraction of Energy Information From Analog Meters Using Image Processing. IEEE Trans. Smart Grid 6 (4) (2015)
Jun Ma, Chaoli Wang, Ching-Kuang Shene, Jingfeng Jiang
A Graph-Based Interface for VisualAnalytics of 3D Streamlines and Pathlines. IEEE Trans. Vis. Comput. Graph. 20 (8) (2014)
Jun Tao, Chaoli Wang, Ching-Kuang Shene
FlowString: Partial Streamline Matching Using Shape Invariant Similarity Measure for Exploratory Flow Visualization. PacificVis (2014)
Yifei Li, Chaoli Wang, Ching-Kuang Shene
Streamline similarity analysis using bag-of-features. Visualization and Data Analysis (2014)
Jun Ma, Jun Tao, Melissa S. Keranen, Jean Mayo, Ching-Kuang Shene, Chaoli Wang
SHAvisual: a secure hash algorithm visualization tool. ITiCSE (2014)
Man Wang, Steve Carr, Jean Mayo, Ching-Kuang Shene, Chaoli Wang
MLSvisual: a visualization tool for teaching access control using multi-level security. ITiCSE (2014)
Jun Tao, Chaoli Wang, Ching-Kuang Shene, Seung Hyun Kim
A Deformation Framework for Focus+Context Flow Visualization. IEEE Trans. Vis. Comput. Graph. 20 (1) (2014)
Jun Tao, Jun Ma, Melissa S. Keranen, Jean Mayo, Ching-Kuang Shene, Chaoli Wang
RSAvisual: a visualization tool for the RSA cipher. SIGCSE (2014)
Jun Ma, James W. Walker, Chaoli Wang, Scott A. Kuhl, Ching-Kuang Shene
FlowTour: An Automatic Guide for Exploring Internal Flow Features. PacificVis (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chaoli Wang