Chaoli Wang

Chaoli Wang

University of Notre Dame

H-index: 35

North America-United States

About Chaoli Wang

Chaoli Wang, With an exceptional h-index of 35 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Notre Dame, specializes in the field of Visualization, Scientific Visualization, Visual Analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

ECNR: Efficient compressive neural representation of time-varying volumetric datasets

STSR-INR: Spatiotemporal super-resolution for multivariate time-varying volumetric data via implicit neural representation

Examining the role of passive design indicators in energy burden reduction: Insights from a machine learning and deep learning approach

Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: A case study

CoordNet: Data generation and visualization generation for time-varying volumes via a coordinate-based neural network

ConvFormer: Combining CNN and transformer for medical image segmentation

NeRVI: Compressive neural representation of visualization images for communicating volume visualization results

GrNT: Gate-regularized network training for improving multi-scale fusion in medical image segmentation

Chaoli Wang Information

University

Position

Associate Professor

Citations(all)

3998

Citations(since 2020)

1764

Cited By

2828

hIndex(all)

35

hIndex(since 2020)

23

i10Index(all)

83

i10Index(since 2020)

56

Email

University Profile Page

University of Notre Dame

Google Scholar

View Google Scholar Profile

Chaoli Wang Skills & Research Interests

Visualization

Scientific Visualization

Visual Analytics

Top articles of Chaoli Wang

Title

Journal

Author(s)

Publication Date

ECNR: Efficient compressive neural representation of time-varying volumetric datasets

Kaiyuan Tang

Chaoli Wang

2024/4

STSR-INR: Spatiotemporal super-resolution for multivariate time-varying volumetric data via implicit neural representation

Computers & Graphics

Kaiyuan Tang

Chaoli Wang

2024/4

Examining the role of passive design indicators in energy burden reduction: Insights from a machine learning and deep learning approach

Building and Environment

Siavash Ghorbany

Ming Hu

Siyuan Yao

Chaoli Wang

Quynh Camthi Nguyen

...

2024/2/15

Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: A case study

Education and Information Technologies

Xiaojing Duan

Bo Pei

G Alex Ambrose

Arnon Hershkovitz

Ying Cheng

...

2023/6/17

CoordNet: Data generation and visualization generation for time-varying volumes via a coordinate-based neural network

IEEE Transactions on Visualization and Computer Graphics

Jun Han

Chaoli Wang

2023/12

ConvFormer: Combining CNN and transformer for medical image segmentation

20th IEEE International Symposium on Biomedical Imaging (ISBI 2023)

Pengfei Gu*

Yejia Zhang*

Chaoli Wang

Danny Z Chen

2023/4

NeRVI: Compressive neural representation of visualization images for communicating volume visualization results

Computers & Graphics

Pengfei Gu

Danny Z Chen

Chaoli Wang

2023/11/1

GrNT: Gate-regularized network training for improving multi-scale fusion in medical image segmentation

20th IEEE International Symposium on Biomedical Imaging (ISBI 2023)

Yizhe Zhang*

Pengfei Gu*

Yejia Zhang

Chaoli Wang

Danny Z Chen

2023/4

ArcheryVis: A tool for analyzing and visualizing archery performance data

Zhiyuan Cheng

Zeyuan Li

Zhepeng Luo

Mayleen Liu

Jonathan D'Alonzo

...

2023/10

Visualizing digital architectural data for heritage education

Chase J Brown

Siyuan Yao

Xiaoyun Zhang

Chad J Brown

John B Caven

...

2023/1

DL4SciVis: A state-of-the-art survey on deep learning for scientific visualization

IEEE Transactions on Visualization and Computer Graphics

Chaoli Wang

Jun Han

2023/8

SD: Slicing and dicing scholarly data for interactive evaluation of academic performance

IEEE Transactions on Visualization and Computer Graphics

Zhichun Guo

Jun Tao

Siming Chen

Nitesh V Chawla

Chaoli Wang

2023/8

GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization

Computers & Graphics

Siyuan Yao

Jun Han

Chaoli Wang

2023/5

Scalar2Vec: Translating scalar fields to vector fields via deep learning

Pengfei Gu

Jun Han

Danny Z Chen

Chaoli Wang

2022/4/11

SurfNet: Learning surface representations via graph convolutional network

Computer Graphics Forum

Jun Han

Chaoli Wang

2022/6

TSR-VFD: Generating temporal super-resolution for unsteady vector field data

Computers & Graphics

Jun Han

Chaoli Wang

2022/4

VCNet: A generative model for volume completion

Visual Informatics

Jun Han

Chaoli Wang

2022/6

HONVis+: An exploration and visual comparison tool for dynamic higher-order networks

Available at SSRN 4102588

Songxian He

Jun Tao

Jian Xu

Zhaojun Wang

Chaoli Wang

...

2022

SSR-TVD: Spatial super-resolution for time-varying data analysis and visualization

IEEE Transactions on Visualization and Computer Graphics

Jun Han

Chaoli Wang

2022/6

CoursePathVis: Course path visualization using flexible grouping and funnel-augmented Sankey diagram

Electronic Imaging

Brendan J O'Handley

Morgan K Ludwig

Samantha R Allison

Michael T Niemier

Shreya Kumar

...

2022/1/16

See List of Professors in Chaoli Wang University(University of Notre Dame)

Co-Authors

H-index: 82
Kwan-Liu Ma

Kwan-Liu Ma

University of California, Davis

H-index: 31
Hongfeng Yu

Hongfeng Yu

University of Nebraska-Lincoln

H-index: 16
Hao Zheng

Hao Zheng

University of Notre Dame

H-index: 16
Jun Han

Jun Han

University of Notre Dame

H-index: 15
Jun Tao

Jun Tao

Sun Yat-Sen University

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