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Chaoli Wang 0001

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

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2025
[j68]
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Siyuan Yao, Chaoli Wang:
ReVolVE: Neural reconstruction of volumes for visualization enhancement of direct volume rendering. Comput. Graph. 131: 104295 (2025)
[j67]
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Kaiyuan Tang, Chaoli Wang:
StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization. IEEE Trans. Vis. Comput. Graph. 31(1): 613-623 (2025)
[j66]
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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:
Preface. IEEE Trans. Vis. Comput. Graph. 31(1): xv-xxv (2025)
[j65]
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Delin An, Chaoli Wang:
SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization. IEEE Trans. Vis. Comput. Graph. 31(6): 3771-3782 (2025)
[j64]
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Kaiyuan Tang, Siyuan Yao, Chaoli Wang:
iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting. IEEE Trans. Vis. Comput. Graph. 31(6): 3783-3795 (2025)
2024
[j63]
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Kaiyuan Tang, Chaoli Wang:
STSR-INR: Spatiotemporal super-resolution for multivariate time-varying volumetric data via implicit neural representation. Comput. Graph. 119: 103874 (2024)
[j62]
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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: 108601 (2024)
[j61]
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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): 3075-3096 (2024)
2023
[j60]
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Siyuan Yao, Jun Han, Chaoli Wang:
GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization. Comput. Graph. 112: 92-104 (2023)
[j59]
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Pengfei Gu, Danny Z. Chen, Chaoli Wang:
NeRVI: Compressive neural representation of visualization images for communicating volume visualization results. Comput. Graph. 116: 216-227 (2023)
[j58]
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Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang:
SD²: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance. IEEE Trans. Vis. Comput. Graph. 29(8): 3569-3585 (2023)
[j57]
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Chaoli Wang, Jun Han:
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization. IEEE Trans. Vis. Comput. Graph. 29(8): 3714-3733 (2023)
[j56]
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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): 4951-4963 (2023)
2022
[j55]
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Jun Han, Chaoli Wang:
TSR-VFD: Generating temporal super-resolution for unsteady vector field data. Comput. Graph. 103: 168-179 (2022)
[j54]
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Chaoli Wang:
VisVisual: A Toolkit for Teaching and Learning Data Visualization. IEEE Computer Graphics and Applications 42(4): 20-26 (2022)
[j53]
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Jun Han, Chaoli Wang:
SurfNet: Learning Surface Representations via Graph Convolutional Network. Comput. Graph. Forum 41(3): 109-120 (2022)
[j52]
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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): 270-280 (2022)
[j51]
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Jun Han, Chaoli Wang:
SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and Visualization. IEEE Trans. Vis. Comput. Graph. 28(6): 2445-2456 (2022)
[j50]
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Jun Han, Chaoli Wang:
VCNet: A generative model for volume completion. Vis. Informatics 6(2): 62-73 (2022)
2021
[j49]
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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): 111-121 (2021)
[j48]
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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): 1290-1300 (2021)
[j47]
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Nan Cao, Holger Theisel, Chaoli Wang:
Guest Editors' Introduction: Special Section on IEEE PacificVis 2021. IEEE Trans. Vis. Comput. Graph. 27(6): 2768-2769 (2021)
[j46]
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Jun Zhang, Jun Tao, Jian-Xun Wang, Chaoli Wang:
SurfRiver: Flattening Stream Surfaces for Comparative Visualization. IEEE Trans. Vis. Comput. Graph. 27(6): 2783-2795 (2021)
2020
[j45]
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Martin Imre, Jun Tao, Yongyu Wang, Zhiqiang Zhao, Zhuo Feng, Chaoli Wang:
Spectrum-preserving sparsification for visualization of big graphs. Comput. Graph. 87: 89-102 (2020)
[j44]
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Jun Han, Chaoli Wang:
TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and Visualization. IEEE Trans. Vis. Comput. Graph. 26(1): 205-215 (2020)
[j43]
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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): 1732-1744 (2020)
[j42]
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  - journals/tvcg/BeckSW20
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Fabian Beck, Jinwook Seo, Chaoli Wang:
Guest Editors' Introduction: Special Section on IEEE PacificVis 2020. IEEE Trans. Vis. Comput. Graph. 26(6): 2142-2143 (2020)
[j41]
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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): 2517-2534 (2020)
[j40]
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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): 2944-2960 (2020)
[j39]
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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): 43-57 (2020)
[j38]
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  - journals/vi/HuZLZIZWHC20
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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): 58-70 (2020)
[j37]
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Chaoli Wang:
Visualization Laboratory at University of Notre Dame. Vis. Informatics 4(3): 63-68 (2020)
2019
[j36]
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  - journals/cga/HanTZGCW19
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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): 54-67 (2019)
[j35]
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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): 1125-1144 (2019)
[j34]
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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): 1236-1245 (2019)
[j33]
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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): 157-165 (2019)
[j32]
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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): 166-176 (2019)
2018
[j31]
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Martin Imre, Jun Tao, Chaoli Wang:
Identifying nearly equally spaced isosurfaces for volumetric data sets. Comput. Graph. 72: 82-97 (2018)
[j30]
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Chaoli Wang:
Graph-Based Techniques for Visual Analytics of Scientific Data Sets. Comput. Sci. Eng. 20(1): 93-103 (2018)
[j29]
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Jun Tao, Chaoli Wang:
Semi-Automatic Generation of Stream Surfaces via Sketching. IEEE Trans. Vis. Comput. Graph. 24(9): 2622-2635 (2018)
[j28]
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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): 3200-3213 (2018)
2017
[j27]
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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: 1-14 (2017)
[j26]
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Chaoli Wang, Jun Tao:
Graphs in Scientific Visualization: A Survey. Comput. Graph. Forum 36(1): 263-287 (2017)
[j25]
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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): 21-47 (2017)
2016
[j24]
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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: 79-92 (2016)
[j23]
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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)
[j22]
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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): 965-974 (2016)
[j21]
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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): 1503-1516 (2016)
2015
[j20]
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Yifei Li, Chaoli Wang, Ching-Kuang Shene:
Extracting flow features via supervised streamline segmentation. Comput. Graph. 52: 79-92 (2015)
[j19]
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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): 183-203 (2015)
[j18]
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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): 2032-2040 (2015)
2014
[j17]
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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): 42-55 (2014)
[j16]
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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): 1127-1140 (2014)
2013
[j15]
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Jun Tao, Jun Ma, Chaoli Wang, Ching-Kuang Shene:
A Unified Approach to Streamline Selection and Viewpoint Selection for 3D Flow Visualization. IEEE Trans. Vis. Comput. Graph. 19(3): 393-406 (2013)
2012
[j14]
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Yifei Li, Steve Carr, Jean Mayo, Ching-Kuang Shene, Chaoli Wang:
DTEvisual: a visualization system for teaching access control using Domain Type Enforcement. J. Comput. Sci. Coll. 28(1): 125-132 (2012)
[j13]
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Kun-Chuan Feng, Chaoli Wang, Han-Wei Shen, Tong-Yee Lee:
Coherent Time-Varying Graph Drawing with Multifocus+Context Interaction. IEEE Trans. Vis. Comput. Graph. 18(8): 1330-1342 (2012)
[j12]
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Hongfeng Yu, Chaoli Wang, Ching-Kuang Shene, Jacqueline H. Chen:
Hierarchical Streamline Bundles. IEEE Trans. Vis. Comput. Graph. 18(8): 1353-1367 (2012)
2011
[j11]
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Chaoli Wang, Han-Wei Shen:
Information Theory in Scientific Visualization. Entropy 13(1): 254-273 (2011)
[j10]
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Yu-Shuen Wang, Chaoli Wang, Tong-Yee Lee, Kwan-Liu Ma:
Feature-Preserving Volume Data Reduction and Focus+Context Visualization. IEEE Trans. Vis. Comput. Graph. 17(2): 171-181 (2011)
[j9]
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Yi Gu, Chaoli Wang:
TransGraph: Hierarchical Exploration of Transition Relationships in Time-Varying Volumetric Data. IEEE Trans. Vis. Comput. Graph. 17(12): 2015-2024 (2011)
2010
[j8]
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Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma:
Application-Driven Compression for Visualizing Large-Scale Time-Varying Data. IEEE Computer Graphics and Applications 30(1): 59-69 (2010)
[j7]
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Hongfeng Yu, Chaoli Wang, Ray W. Grout, Jacqueline H. Chen, Kwan-Liu Ma:
In Situ Visualization for Large-Scale Combustion Simulations. IEEE Computer Graphics and Applications 30(3): 45-57 (2010)
[j6]
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Hiroshi Akiba, Chaoli Wang, Kwan-Liu Ma:
AniViz: A Template-Based Animation Tool for Volume Visualization. IEEE Computer Graphics and Applications 30(5): 61-71 (2010)
2008
[j5]
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Chaoli Wang, Kwan-Liu Ma:
A Statistical Approach to Volume Data Quality Assessment. IEEE Trans. Vis. Comput. Graph. 14(3): 590-602 (2008)
[j4]
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Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma:
Importance-Driven Time-Varying Data Visualization. IEEE Trans. Vis. Comput. Graph. 14(6): 1547-1554 (2008)
2007
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Chaoli Wang, Antonio Garcia, Han-Wei Shen:
Interactive Level-of-Detail Selection Using Image-Based Quality Metric for Large Volume Visualization. IEEE Trans. Vis. Comput. Graph. 13(1): 122-134 (2007)
2006
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Chaoli Wang, Han-Wei Shen:
LOD Map - A Visual Interface for Navigating Multiresolution Volume Visualization. IEEE Trans. Vis. Comput. Graph. 12(5): 1029-1036 (2006)
2005
[j1]
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Jinzhu Gao, Chaoli Wang, Liya Li, Han-Wei Shen:
A parallel multiresolution volume rendering algorithm for large data visualization. Parallel Comput. 31(2): 185-204 (2005)

Conference and Workshop Papers

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2025
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Delin An, Pan Du, Pengfei Gu, Jian-Xun Wang, Chaoli Wang:
Hierarchical Log Bayesian Neural Network for Enhanced Aorta Segmentation. ISBI 2025: 1-5
[c68]
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Siyuan Yao, Yunfei Lu, Chaoli Wang:
ViSNeRF: Efficient Multidimensional Neural Radiance Field Representation for Visualization Synthesis of Dynamic Volumetric Scenes. PacificVis 2025: 235-245
[c67]
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Maizhe Yang, Kaiyuan Tang, Chaoli Wang:
Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation. PacificVis 2025: 246-251
[c66]
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Delin An, Pengfei Gu, Milan Sonka, Chaoli Wang, Danny Z. Chen:
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network. WACV 2025: 3624-3634
2024
[c65]
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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. ISBI 2024: 1-5
[c64]
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  - conf/isvc/YaoGSHW24
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Siyuan Yao, Siavash Ghorbany, Matthew L. Sisk, Ming Hu, Chaoli Wang:
Leveraging Zero-Shot Learning on Street-View Imagery for Built Environment Variable Analysis. ISVC (2) 2024: 243-254
[c63]
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  - conf/ldav/BeyerFR0WDMBMPT24
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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:
IEEE LDAV 2024 Preface. LDAV 2024: vii
[c62]
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Kaiyuan Tang, Chaoli Wang:
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets. PacificVis 2024: 72-81
[c61]
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Yunfei Lu, Pengfei Gu, Chaoli Wang:
FCNR: Fast Compressive Neural Representation of Visualization Images. IEEE VIS 2024: 31-35
[c60]
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Yikai Lu, Chaoli Wang:
FAVis: Visual Analytics of Factor Analysis for Psychological Research. IEEE VIS 2024: 51-55
[c59]
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Siyuan Yao, Weixi Song, Chaoli Wang:
A Comparative Study of Neural Surface Reconstruction for Scientific Visualization. IEEE VIS 2024: 186-190
2023
[c58]
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Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen:
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation. ISBI 2023: 1-5
[c57]
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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: 1-5
[c56]
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  - conf/isvc/ChengLLLDW23
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Zhiyuan Cheng, Zeyuan Li, Zhepeng Luo, Mayleen Liu, Jonathan D'Alonzo, Chaoli Wang:
ArcheryVis: A Tool for Analyzing and Visualizing Archery Performance Data. ISVC (1) 2023: 97-108
[c55]
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  - conf/vda/BrownYZBCK023
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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: 1-7
2022
[c54]
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Pengfei Gu, Jun Han, Danny Z. Chen, Chaoli Wang:
Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning. PacificVis 2022: 31-40
[c53]
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  - conf/csedu/Duan0R22
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Xiaojing Duan, Chaoli Wang, Guieswende Rouamba:
Designing a Learning Analytics Dashboard to Provide Students with Actionable Feedback and Evaluating Its Impacts. CSEDU (2) 2022: 117-127
[c52]
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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: 720-733
[c51]
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  - conf/vda/OHandleyLANKB022
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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: 1-9
2021
[c50]
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William P. Porter, Conor P. Murphy, Dane R. Williams, Brendan J. O'Handley, Chaoli Wang:
Hierarchical Sankey Diagram: Design and Evaluation. ISVC (2) 2021: 386-397
[c49]
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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: 337-347
[c48]
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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: 622-632
2020
[c47]
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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: 6925-6932
[c46]
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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: 71-80
[c45]
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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: 802-812
2019
[c44]
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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: 5901-5908
[c43]
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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: 5909-5916
[c42]
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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: 289-301
[c41]
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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: 759-767
[c40]
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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
[c39]
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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: 131-135
2018
[c38]
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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: 150-159
[c37]
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  - conf/vda/BaileyWWPB18
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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
2017
[c36]
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Jun Tao, Jian Xu, Chaoli Wang, Nitesh V. Chawla:
HoNVis: Visualizing and exploring higher-order networks. PacificVis 2017: 1-10
[c35]
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  - conf/apvis/ImreTW17
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Martin Imre, Jun Tao, Chaoli Wang:
Efficient GPU-accelerated computation of isosurface similarity maps. PacificVis 2017: 180-184
[c34]
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  - conf/iotdi/XuTCW17
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Jian Xu, Jun Tao, Nitesh V. Chawla, Chaoli Wang:
Visual Analytics of Higher-order Dependencies in Sensor Data: Demo Abstract. IoTDI 2017: 297-298
[c33]
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Man Wang, Jean Mayo, Ching-Kuang Shene, Steve Carr, Chaoli Wang:
UNIXvisual: A Visualization Tool for Teaching UNIX Permissions. ITiCSE 2017: 194-199
2016
[c32]
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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: 2509
[c31]
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Jun Ma, Jun Tao, Jean Mayo, Ching-Kuang Shene, Melissa S. Keranen, Chaoli Wang:
AESvisual: A Visualization Tool for the AES Cipher. ITiCSE 2016: 230-235
[c30]
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Man Wang, Jean Mayo, Ching-Kuang Shene, Steve Carr, Chaoli Wang:
UNIXvisual: A Visualization Tool for Teaching the UNIX Permission Model. ITiCSE 2016: 356
[c29]
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  - conf/siggraph/TaoW16
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Jun Tao, Chaoli Wang:
Peeling the flow: a sketch-based interface to generate stream surfaces. SIGGRAPH Asia Symposium on Visualization 2016: 14:1-14:8
[c28]
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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: 1-10
2015
[c27]
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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: 129-134
[c26]
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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: 141-146
[c25]
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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: 939708
[c24]
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Chaoli Wang:
A Survey of Graph-Based Representations and Techniques for Scientific Visualization. EuroVis (STARs) 2015: 41-60
2014
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Jun Tao, Chaoli Wang, Ching-Kuang Shene:
FlowString: Partial Streamline Matching Using Shape Invariant Similarity Measure for Exploratory Flow Visualization. PacificVis 2014: 9-16
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Jun Ma, James W. Walker, Chaoli Wang, Scott A. Kuhl, Ching-Kuang Shene:
FlowTour: An Automatic Guide for Exploring Internal Flow Features. PacificVis 2014: 25-32
[c21]
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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: 93-98
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Jun Ma, Jun Tao, Melissa S. Keranen, Jean Mayo, Ching-Kuang Shene, Chaoli Wang:
SHAvisual: a secure hash algorithm visualization tool. ITiCSE 2014: 338
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Jun Tao, Jun Ma, Melissa S. Keranen, Jean Mayo, Ching-Kuang Shene, Chaoli Wang:
RSAvisual: a visualization tool for the RSA cipher. SIGCSE 2014: 635-640
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Yifei Li, Chaoli Wang, Ching-Kuang Shene:
Streamline similarity analysis using bag-of-features. Visualization and Data Analysis 2014: 90170N
2013
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James W. Walker, Jun Ma, Scott A. Kuhl, Chaoli Wang:
An evaluation of flow field visualization with internal views. SAP 2013: 116
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Yi Gu, Chaoli Wang:
iTree: Exploring time-varying data using indexable tree. PacificVis 2013: 137-144
[c15]
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Jun Ma, Chaoli Wang, Ching-Kuang Shene:
FlowGraph: A compound hierarchical graph for flow field exploration. PacificVis 2013: 233-240
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Chaoli Wang, John P. Reese, Huan Zhang, Jun Tao, Robert J. Nemiroff:
iMap: a stable layout for navigating large image collections with embedded search. Visualization and Data Analysis 2013: 86540K
[c13]
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Jun Ma, Chaoli Wang, Ching-Kuang Shene:
Coherent view-dependent streamline selection for importance-driven flow visualization. Visualization and Data Analysis 2013: 865407
2011
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Cheng-Kai Chen, Chaoli Wang, Kwan-Liu Ma, Andrew T. Wittenberg:
Static correlation visualization for large time-varying volume data. PacificVis 2011: 27-34
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Chaoli Wang, Hongfeng Yu, Ray W. Grout, Kwan-Liu Ma, Jacqueline H. Chen:
Analyzing information transfer in time-varying multivariate data. PacificVis 2011: 99-106
2010
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Jishang Wei, Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma:
A sketch-based interface for classifying and visualizing vector fields. PacificVis 2010: 129-136
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Yi Gu, Chaoli Wang:
A Study of Hierarchical Correlation Clustering for Scientific Volume Data. ISVC (3) 2010: 437-446
2009
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Jeffrey Sukharev, Chaoli Wang, Kwan-Liu Ma, Andrew T. Wittenberg:
Correlation study of time-varying multivariate climate data sets. PacificVis 2009: 161-168
2008
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Kwan-Liu Ma, Chaoli Wang:
Social-aware collaborative visualization for large scientific projects. CTS 2008: 190-195
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Hongfeng Yu, Chaoli Wang, Kwan-Liu Ma:
Massively parallel volume rendering using 2-3 swap image compositing. SC 2008: 48
2007
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Hongfeng Yu, Chaoli Wang, Kwan-Liu Ma:
Parallel hierarchical visualization of large time-varying 3D vector fields. SC 2007: 24
2005
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Chaoli Wang, Han-Wei Shen:
Hierarchical Navigation Interface: Leveraging Multiple Coordinated Views for Level-of-Detail Multiresolution Volume Rendering of Large Scientific Data Sets. IV 2005: 259-267
[c3]
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Chaoli Wang, Jinzhu Gao, Liya Li, Han-Wei Shen:
A Multiresolution Volume Rendering Framework for Large-Scale Time-Varying Data Visualization. VG 2005: 11-19
2004
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Chaoli Wang, Jinzhu Gao, Han-Wei Shen:
Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing. EGPGV 2004: 23-30
2003
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Jonathan Woodring, Chaoli Wang, Han-Wei Shen:
High Dimensional Direct Rendering of Time-Varying Volumetric Data. IEEE Visualization 2003: 417-424

Editorship

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2019
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George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu:
Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11844, Springer 2019, ISBN 978-3-030-33719-3 [contents]
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George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu:
Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11845, Springer 2019, ISBN 978-3-030-33722-3 [contents]

Informal and Other Publications

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2025
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Delin An, Chaoli Wang:
SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization. CoRR abs/2501.02003 (2025)
[i28]
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  - journals/corr/abs-2501-10615
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Delin An, Pan Du, Pengfei Gu, Jian-Xun Wang, Chaoli Wang:
Hierarchical LoG Bayesian Neural Network for Enhanced Aorta Segmentation. CoRR abs/2501.10615 (2025)
[i27]
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Maizhe Yang, Kaiyuan Tang, Chaoli Wang:
Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation. CoRR abs/2502.09669 (2025)
[i26]
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Siyuan Yao, Yunfei Lu, Chaoli Wang:
ViSNeRF: Efficient Multidimensional Neural Radiance Field Representation for Visualization Synthesis of Dynamic Volumetric Scenes. CoRR abs/2502.16731 (2025)
[i25]
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Pan Du, Delin An, Chaoli Wang, Jian-Xun Wang:
AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows. CoRR abs/2503.12515 (2025)
[i24]
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Kaiyuan Tang, Siyuan Yao, Chaoli Wang:
iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting. CoRR abs/2504.17954 (2025)
[i23]
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  - journals/corr/abs-2505-09054
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Siavash Ghorbany, Ming Hu, Siyuan Yao, Matthew L. Sisk, Chaoli Wang:
EcoSphere: A Decision-Support Tool for Automated Carbon Emission and Cost Optimization in Sustainable Urban Development. CoRR abs/2505.09054 (2025)
[i22]
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  - journals/corr/abs-2507-02494
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Hyunsoo Son, Jeonghyun Noh, Suemin Jeon, Chaoli Wang, Won-Ki Jeong:
MC-INR: Efficient Encoding of Multivariate Scientific Simulation Data using Meta-Learning and Clustered Implicit Neural Representations. CoRR abs/2507.02494 (2025)
[i21]
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Kuangshi Ai, Kaiyuan Tang, Chaoli Wang:
NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting. CoRR abs/2507.12621 (2025)
[i20]
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  - journals/corr/abs-2507-12667
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Siyuan Yao, Chaoli Wang:
VolSegGS: Segmentation and Tracking in Dynamic Volumetric Scenes via Deformable 3D Gaussians. CoRR abs/2507.12667 (2025)
[i19]
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Delin An, Pan Du, Jian-Xun Wang, Chaoli Wang:
AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation. CoRR abs/2507.13404 (2025)
[i18]
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  - journals/corr/abs-2507-13586
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Kaiyuan Tang, Kuangshi Ai, Jun Han, Chaoli Wang:
TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting. CoRR abs/2507.13586 (2025)
[i17]
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  - journals/corr/abs-2508-01574
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Pengfei Gu, Hongxiao Wang, Yejia Zhang, Huimin Li, Chaoli Wang, Danny Chen:
TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification. CoRR abs/2508.01574 (2025)
[i16]
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  - journals/corr/abs-2509-15160
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Kuangshi Ai, Haichao Miao, Zhimin Li, Chaoli Wang, Shusen Liu:
An Evaluation-Centric Paradigm for Scientific Visualization Agents. CoRR abs/2509.15160 (2025)
[i15]
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Kuangshi Ai, Jonathan A. Karr Jr., Meng Jiang, Nitesh V. Chawla, Chaoli Wang:
KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance. CoRR abs/2510.05524 (2025)
2024
[i14]
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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 abs/2406.10519 (2024)
[i13]
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  - journals/corr/abs-2406-11026
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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 abs/2406.11026 (2024)
[i12]
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Yikai Lu, Chaoli Wang:
FAVis: Visual Analytics of Factor Analysis for Psychological Research. CoRR abs/2407.14072 (2024)
[i11]
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  - journals/corr/abs-2407-16369
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Yunfei Lu, Pengfei Gu, Chaoli Wang:
FCNR: Fast Compressive Neural Representation of Visualization Images. CoRR abs/2407.16369 (2024)
[i10]
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  - journals/corr/abs-2407-20868
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Siyuan Yao, Weixi Song, Chaoli Wang:
A Comparative Study of Neural Surface Reconstruction for Scientific Visualization. CoRR abs/2407.20868 (2024)
[i9]
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Kaiyuan Tang, Chaoli Wang:
StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization. CoRR abs/2408.00150 (2024)
[i8]
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  - journals/corr/abs-2411-13873
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Delin An, Pengfei Gu, Milan Sonka, Chaoli Wang, Danny Z. Chen:
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network. CoRR abs/2411.13873 (2024)
2023
[i7]
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  - journals/corr/abs-2311-12831
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Kaiyuan Tang, Chaoli Wang:
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets. CoRR abs/2311.12831 (2023)
2022
[i6]
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  - journals/corr/abs-2203-12671
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Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang:
SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance. CoRR abs/2203.12671 (2022)
[i5]
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  - journals/corr/abs-2204-06504
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Chaoli Wang, Jun Han:
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization. CoRR abs/2204.06504 (2022)
[i4]
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  - journals/corr/abs-2211-08564
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  - https://dblp.org/rec/journals/corr/abs-2211-08564
Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen:
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation. CoRR abs/2211.08564 (2022)
2021
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  - journals/corr/abs-2107-04886
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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 abs/2107.04886 (2021)
2018
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  - journals/corr/abs-1812-03945
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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 abs/1812.03945 (2018)
2017
[i1]
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  - journals/corr/TaoXWC17
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Jun Tao, Jian Xu, Chaoli Wang, Nitesh V. Chawla:
HoNVis: Visualizing and Exploring Higher-Order Networks. CoRR abs/1702.00737 (2017)

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