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2020 – today
- 2024
[j179]Stefan Zellmann
, Qi Wu, Alper Sahistan, Kwan-Liu Ma, Ingo Wald:
Beyond ExaBricks: GPU Volume Path Tracing of AMR Data. Comput. Graph. Forum 43(3) (2024)- [j178]Ying Chen, Patrick J. F. Groenen, Kwan-Liu Ma, Stefan Van Aelst:
Editorial. J. Data Sci. Stat. Vis. 4(2) (2024) - [j177]Nikos Bikakis, George Papastefanatos, Panos K. Chrysanthis, Olga Papemmanuil, David Auber, Steffen Frey, Issei Fujishiro, Hanna Hauptmann, Shixia Liu, Kwan-Liu Ma, Tobias Schreck, Michael Sedlmair, Mohamed A. Sharaf:
Visualizing, Exploring and Analyzing Big Data: A 6-Year Story. SIGMOD Rec. 53(2): 54-57 (2024) - [j176]Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma:
Character-Oriented Design for Visual Data Storytelling. IEEE Trans. Vis. Comput. Graph. 30(1): 98-108 (2024) - [j175]Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo:
: Improving Label-Based Evaluation of Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. 30(1): 781-791 (2024) - [j174]David Bauer, Qi Wu, Kwan-Liu Ma:
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination. IEEE Trans. Vis. Comput. Graph. 30(1): 975-985 (2024) - [j173]Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma:
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. IEEE Trans. Vis. Comput. Graph. 30(6): 2875-2887 (2024) - [j172]Qi Wu, David Bauer, Michael J. Doyle, Kwan-Liu Ma:
Interactive Volume Visualization via Multi-Resolution Hash Encoding Based Neural Representation. IEEE Trans. Vis. Comput. Graph. 30(8): 5404-5418 (2024) - [c279]Hsiao-Ying Lu, Yiran Li, Kwan-Liu Ma:
EHRFlow: A Visual Analytics Approach to Studying Healthcare Professionals' Communication Effectiveness and Efficiency. CHASE 2024: 120-131 - [c278]Mak Ahmad, Andrew Macvean, David R. Karger, Kwan-Liu Ma:
AI-Enhanced API Design: A New Paradigm in Usability and Efficiency. CHI Extended Abstracts 2024: 27:1-27:6 - [c277]Mak Ahmad, J. J. Geewax, Andrew Macvean, David R. Karger, Kwan-Liu Ma:
API Governance at Scale. ICSE-SEIP 2024: 430-440 - [c276]Xiaoyu Zhang, Jorge Henrique Piazentin Ono, Wenbin He, Liang Gou, Mrinmaya Sachan, Kwan-Liu Ma, Liu Ren:
Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer. IUI 2024: 274-287 - [c275]Suraj P. Kesavan, Harsh Bhatia, Keshav Dasu, Olga Pearce, Kwan-Liu Ma:
Data Movement Visualized: A Unified Framework for Tracking and Visualizing Data Movements in Heterogeneous Architectures. PacificVis 2024: 32-41 - [i74]Hsiao-Ying Lu, Yiran Li, Kwan-Liu Ma:
A Visual Analytics Design for Connecting Healthcare Team Communication to Patient Outcomes. CoRR abs/2401.03700 (2024) - [i73]Xiwei Xuan, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren:
AttributionScanner: A Visual Analytics System for Metadata-Free Data-Slicing Based Model Validation. CoRR abs/2401.06462 (2024) - [i72]Keshav Dasu, Sam Yu-Te Lee, Ying-Cheng Chen, Kwan-Liu Ma:
NOVA: A visual interface for assessing polarizing media coverage. CoRR abs/2403.00334 (2024) - [i71]Sam Yu-Te Lee, Kwan-Liu Ma:
HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agents. CoRR abs/2403.02752 (2024) - [i70]Ziquan Deng, Xiwei Xuan, Kwan-Liu Ma, Zhaodan Kong:
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series. CoRR abs/2405.03234 (2024) - [i69]Hsiao-Ying Lu, Yiran Li, Ujwal Pratap Krishna Kaluvakolanu Thyagarajan, Kwan-Liu Ma:
GNNAnatomy: Systematic Generation and Evaluation of Multi-Level Explanations for Graph Neural Networks. CoRR abs/2406.04548 (2024) - [i68]Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin, Kwan-Liu Ma:
SLIM: Spuriousness Mitigation with Minimal Human Annotations. CoRR abs/2407.05594 (2024) - [i67]Sam Yu-Te Lee, Aryaman Bahukhandi, Dongyu Liu, Kwan-Liu Ma:
Towards Dataset-scale and Feature-oriented Evaluation of Text Summarization in Large Language Model Prompts. CoRR abs/2407.12192 (2024) - [i66]Yuya Kawakami, Sarah Yuniar, Kwan-Liu Ma:
HexTiles and Semantic Icons for MAUP-Aware Multivariate Geospatial Visualizations. CoRR abs/2407.16897 (2024) - 2023
- [j171]Kwan-Liu Ma:
Pushing Visualization Research Frontiers: Essential Topics Not Addressed by Machine Learning. IEEE Computer Graphics and Applications 43(1): 97-102 (2023) - [j170]Stefan Zellmann, Qi Wu, Kwan-Liu Ma, Ingo Wald:
Memory-Efficient GPU Volume Path Tracing of AMR Data Using the Dual Mesh. Comput. Graph. Forum 42(3): 51-62 (2023) - [j169]Wolfgang Jentner, Giuliana Lindholz, Hanna Hauptmann, Mennatallah El-Assady, Kwan-Liu Ma, Daniel A. Keim:
Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data. ACM Trans. Interact. Intell. Syst. 13(2): 10:1-10:49 (2023) - [j168]Yiran Li, Junpeng Wang, Takanori Fujiwara, Kwan-Liu Ma:
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks. ACM Trans. Interact. Intell. Syst. 13(4): 20:1-20:26 (2023) - [j167]David Bauer, Qi Wu, Kwan-Liu Ma:
FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 29(1): 515-525 (2023) - [j166]Tyson Neuroth, Martin Rieth, Aditya Konduri, Myoungkyu Lee, Jacqueline H. Chen, Kwan-Liu Ma:
Level Set Restricted Voronoi Tessellation for Large scale Spatial Statistical Analysis. IEEE Trans. Vis. Comput. Graph. 29(1): 548-558 (2023) - [j165]Xiaoyu Zhang, Jorge Piazentin Ono, Huan Song, Liang Gou, Kwan-Liu Ma, Liu Ren:
SliceTeller: A Data Slice-Driven Approach for Machine Learning Model Validation. IEEE Trans. Vis. Comput. Graph. 29(1): 842-852 (2023) - [j164]Jian Zhao, Shenyu Xu, Senthil K. Chandrasegaran, Chris Bryan, Fan Du, Aditi Mishra, Xin Qian, Yiran Li, Kwan-Liu Ma:
ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives. IEEE Trans. Vis. Comput. Graph. 29(2): 1384-1399 (2023) - [j163]Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Stephanie Brink, Olga Pearce, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma:
Scalable Comparative Visualization of Ensembles of Call Graphs. IEEE Trans. Vis. Comput. Graph. 29(3): 1691-1704 (2023) - [j162]Chaoqing Xu, Tyson Neuroth, Takanori Fujiwara, Ronghua Liang, Kwan-Liu Ma:
A Predictive Visual Analytics System for Studying Neurodegenerative Disease Based on DTI Fiber Tracts. IEEE Trans. Vis. Comput. Graph. 29(4): 2020-2035 (2023) - [j161]Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma:
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. IEEE Trans. Vis. Comput. Graph. 29(6): 2888-2900 (2023) - [j160]Oh-Hyun Kwon, Chiun-How Kao, Chun-Houh Chen, Kwan-Liu Ma:
A Deep Generative Model for Reordering Adjacency Matrices. IEEE Trans. Vis. Comput. Graph. 29(7): 3195-3208 (2023) - [j159]Annie Preston, Kwan-Liu Ma:
Communicating Uncertainty and Risk in Air Quality Maps. IEEE Trans. Vis. Comput. Graph. 29(9): 3746-3757 (2023) - [c274]Xiaoyu Zhang, Jianping Kelvin Li, Po-Wei Chi, Senthil K. Chandrasegaran, Kwan-Liu Ma:
ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries. CHI 2023: 204:1-204:16 - [c273]Fei Xue, Rongchen Guo, Siyuan Yao, Luxin Wang, Kwan-Liu Ma:
From Artifacts to Outcomes: Comparison of HMD VR, Desktop, and Slides Lectures for Food Microbiology Laboratory Instruction. CHI 2023: 446:1-446:17 - [c272]Hsiao-Ying Lu, Yiran Li, Brittany Garcia, Shin-Ping Tu, Kwan-Liu Ma:
A Study of Healthcare Team Communication Networks using Visual Analytics. ICMHI 2023: 104-111 - [c271]Yun-Hsin Kuo, Beatriz Martínez-López, Kwan-Liu Ma:
Investigating Animal Infectious Diseases with Visual Analytics. PacificVis 2023: 71-81 - [c270]Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma:
Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. PacificVis 2023: 122-131 - [c269]Xiaoyu Zhang, Xiwei Xuan, Alden Dima, Thurston Sexton, Kwan-Liu Ma:
LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations. PacificVis 2023: 167-176 - [i65]Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin, Zhaodan Kong, Kwan-Liu Ma:
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective. CoRR abs/2303.00244 (2023) - [i64]Yiran Li, Junpeng Wang, Takanori Fujiwara, Kwan-Liu Ma:
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks. CoRR abs/2303.02814 (2023) - [i63]Hsiao-Ying Lu, Takanori Fujiwara, Ming-Yi Chang, Yang-chih Fu, Anders Ynnerman, Kwan-Liu Ma:
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction. CoRR abs/2303.09590 (2023) - [i62]Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma:
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. CoRR abs/2303.13731 (2023) - [i61]Xiaoyu Zhang, Xiwei Xuan, Alden Dima, Thurston Sexton, Kwan-Liu Ma:
LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations. CoRR abs/2303.17820 (2023) - [i60]Xiaoyu Zhang, Jianping Kelvin Li, Po-Wei Chi, Senthil K. Chandrasegaran, Kwan-Liu Ma:
ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries. CoRR abs/2303.17826 (2023) - [i59]Qi Wu, David Bauer, Yuyang Chen, Kwan-Liu Ma:
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation. CoRR abs/2304.04188 (2023) - [i58]David Bauer, Qi Wu, Kwan-Liu Ma:
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination. CoRR abs/2304.07338 (2023) - [i57]Fei Xue, Rongchen Guo, Siyuan Yao, Luxin Wang, Kwan-Liu Ma:
From Artifacts to Outcomes: Comparison of HMD VR, Desktop, and Slides Lectures for Food Microbiology Laboratory Instruction. CoRR abs/2304.09661 (2023) - [i56]Qi Wu, Joseph A. Insley, Victor A. Mateevitsi, Silvio Rizzi, Michael E. Papka, Kwan-Liu Ma:
Distributed Neural Representation for Reactive in situ Visualization. CoRR abs/2304.10516 (2023) - [i55]Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems. CoRR abs/2306.09457 (2023) - [i54]Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo:
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. CoRR abs/2308.00278 (2023) - [i53]Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma:
Character-Oriented Design for Visual Data Storytelling. CoRR abs/2308.07557 (2023) - [i52]Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma:
VisActs: Describing Intent in Communicative Visualization. CoRR abs/2309.05739 (2023) - [i51]Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma:
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. CoRR abs/2311.01016 (2023) - 2022
- [j158]Takanori Fujiwara, Jian Zhao, Francine Chen, Yaoliang Yu, Kwan-Liu Ma:
Network Comparison with Interpretable Contrastive Network Representation Learning. J. Data Sci. Stat. Vis. 2(5) (2022) - [j157]Takanori Fujiwara, Xinhai Wei, Jian Zhao, Kwan-Liu Ma:
Interactive Dimensionality Reduction for Comparative Analysis. IEEE Trans. Vis. Comput. Graph. 28(1): 758-768 (2022) - [j156]Xiwei Xuan, Xiaoyu Zhang, Oh-Hyun Kwon, Kwan-Liu Ma:
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks. IEEE Trans. Vis. Comput. Graph. 28(6): 2326-2337 (2022) - [j155]Shilpika, Takanori Fujiwara, Naohisa Sakamoto, Jorji Nonaka, Kwan-Liu Ma:
A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data Analysis. IEEE Trans. Vis. Comput. Graph. 28(6): 2338-2349 (2022) - [j154]Xumeng Wang, Chris Bryan, Yiran Li, Rusheng Pan, Yanling Liu, Wei Chen, Kwan-Liu Ma:
Umbra: A Visual Analysis Approach for Defense Construction Against Inference Attacks on Sensitive Information. IEEE Trans. Vis. Comput. Graph. 28(7): 2776-2790 (2022) - [c268]Yun-Hsin Kuo, Takanori Fujiwara, Charles C.-K. Chou, Chun-Houh Chen, Kwan-Liu Ma:
A Machine-learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. PacificVis 2022: 91-100 - [c267]Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems. CCGRID 2022: 716-725 - [c266]Qi Wu, Michael J. Doyle, Kwan-Liu Ma:
A Flexible Data Streaming Design for Interactive Visualization of Large-Scale Volume Data. EGPGV@EuroVis 2022: 37-47 - [c265]Qi Wu, Joseph A. Insley, Victor A. Mateevitsi, Silvio Rizzi, Kwan-Liu Ma:
Distributed Volumetric Neural Representation for in situ Visualization and Analysis. LDAV 2022: 1-2 - [i50]Yun-Hsin Kuo, Takanori Fujiwara, Charles C.-K. Chou, Chun-Houh Chen, Kwan-Liu Ma:
A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. CoRR abs/2202.05413 (2022) - [i49]Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma:
Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. CoRR abs/2206.13891 (2022) - [i48]Qi Wu, Michael J. Doyle, David Bauer, Kwan-Liu Ma:
Instant Neural Representation for Interactive Volume Rendering. CoRR abs/2207.11620 (2022) - [i47]Tyson Neuroth, Martin Rieth, Aditya Konduri, Myoungkyu Lee, Jacqueline H. Chen, Kwan-Liu Ma:
Level Set Restricted Voronoi Tessellation for Large scale Spatial Statistical Analysis. CoRR abs/2208.06970 (2022) - [i46]David Bauer, Qi Wu, Kwan-Liu Ma:
FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks. CoRR abs/2209.09965 (2022) - [i45]Stefan Zellmann, Qi Wu, Alper Sahistan, Kwan-Liu Ma, Ingo Wald:
Beyond ExaBricks: GPU Volume Path Tracing of AMR Data. CoRR abs/2211.09997 (2022) - 2021
- [j153]Jingming Hu, Tuan Tran Chu, Seok-Hee Hong, Jialu Chen, Amyra Meidiana, Marnijati Torkel, Peter Eades, Kwan-Liu Ma:
BC tree-based spectral sampling for big complex network visualization. Appl. Netw. Sci. 6(1): 60 (2021) - [j152]Jianping Kelvin Li, Kwan-Liu Ma:
P6: A Declarative Language for Integrating Machine Learning in Visual Analytics. IEEE Trans. Vis. Comput. Graph. 27(2): 380-389 (2021) - [j151]Tarik Crnovrsanin, Shilpika, Senthil K. Chandrasegaran, Kwan-Liu Ma:
Staged Animation Strategies for Online Dynamic Networks. IEEE Trans. Vis. Comput. Graph. 27(2): 539-549 (2021) - [j150]Keshav Dasu, Kwan-Liu Ma, Joyce Ma, Jennifer Frazier:
Sea of Genes: A Reflection on Visualising Metagenomic Data for Museums. IEEE Trans. Vis. Comput. Graph. 27(2): 935-945 (2021) - [j149]Takanori Fujiwara, Shilpika, Naohisa Sakamoto, Jorji Nonaka, Keiji Yamamoto, Kwan-Liu Ma:
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. 27(2): 1601-1611 (2021) - [j148]Huu Tan Nguyen, Abhinav Bhatele, Nikhil Jain, Suraj P. Kesavan, Harsh Bhatia, Todd Gamblin, Kwan-Liu Ma, Peer-Timo Bremer:
Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow. IEEE Trans. Vis. Comput. Graph. 27(4): 2455-2468 (2021) - [c264]Junhua Lu, Wei Chen, Hui Ye, Jie Wang, Honghui Mei, Yuhui Gu, Yingcai Wu, Xiaolong Luke Zhang, Kwan-Liu Ma:
Automatic Generation of Unit Visualization-based Scrollytelling for Impromptu Data Facts Delivery. PacificVis 2021: 21-30 - [c263]Xiaoyu Zhang, Takanori Fujiwara, Senthil K. Chandrasegaran, Michael P. Brundage, Thurston Sexton, Alden Dima, Kwan-Liu Ma:
A Visual Analytics Approach for the Diagnosis of Heterogeneous and Multidimensional Machine Maintenance Data. PacificVis 2021: 196-205 - [c262]Namitha V. Benjamin, Robert D. Boutin, Abhijit J. Chaudhari, Kwan-Liu Ma:
Genetic Algorithm based L4 Identification and Psoas Segmentation. BIOIMAGING 2021: 120-127 - [c261]Xiaoyu Zhang, Senthil K. Chandrasegaran, Kwan-Liu Ma:
ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology. CHI 2021: 19:1-19:13 - [c260]Lukas Maximilian Masopust, David Bauer, Siyuan Yao, Kwan-Liu Ma:
A Comparison of the Fatigue Progression of Eye-Tracked and Motion-Controlled Interaction in Immersive Space. ISMAR 2021: 460-469 - [c259]Kwan-Liu Ma:
Intelligent Visualization Interfaces. IUI 2021: 2-3 - [c258]Yiran Li, Erin Musabandesu, Takanori Fujiwara, Frank J. Loge, Kwan-Liu Ma:
A Visual Analytics System for Water Distribution System Optimization. IEEE VIS (Short Papers) 2021: 126-130 - [i44]Jian Zhao, Shenyu Xu, Senthil K. Chandrasegaran, Chris Bryan, Fan Du, Aditi Mishra, Xin Qian, Yiran Li, Kwan-Liu Ma:
ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives. CoRR abs/2103.03996 (2021) - [i43]Takanori Fujiwara, Xinhai Wei, Jian Zhao, Kwan-Liu Ma:
Interactive Dimensionality Reduction for Comparative Analysis. CoRR abs/2106.15481 (2021) - [i42]Yiran Li, Erin Musabandesu, Takanori Fujiwara, Frank J. Loge, Kwan-Liu Ma:
A Visual Analytics System for Water Distribution System Optimization. CoRR abs/2108.12540 (2021) - [i41]Oh-Hyun Kwon, Chiun-How Kao, Chun-Houh Chen, Kwan-Liu Ma:
A Deep Generative Model for Matrix Reordering. CoRR abs/2110.04971 (2021) - [i40]Xiwei Xuan, Xiaoyu Zhang, Oh-Hyun Kwon, Kwan-Liu Ma:
CNNC: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks. CoRR abs/2110.13252 (2021) - [i39]David Bauer, Chengbo Zheng, Oh-Hyun Kwon, Kwan-Liu Ma:
A Multi-Layout Approach to Immersive Visualization of Network Data. CoRR abs/2112.10272 (2021) - 2020
- [j147]Jianping Kelvin Li, Shenyu Xu, Yecong (Chris) Ye, Kwan-Liu Ma:
Resolving Conflicting Insights in Asynchronous Collaborative Visual Analysis. Comput. Graph. Forum 39(3): 497-509 (2020) - [j146]Yi Chen, Cheng Lv, Yue Li, Wei Chen, Kwan-Liu Ma:
Ordered matrix representation supporting the visual analysis of associated data. Sci. China Inf. Sci. 63(8): 1-3 (2020) - [j145]Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta, Jean M. Favre, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler:
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (2020) - [j144]Takanori Fujiwara, Oh-Hyun Kwon, Kwan-Liu Ma:
Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning. IEEE Trans. Vis. Comput. Graph. 26(1): 45-55 (2020) - [j143]Takanori Fujiwara, Jia-Kai Chou, Shilpika, Panpan Xu, Liu Ren, Kwan-Liu Ma:
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data. IEEE Trans. Vis. Comput. Graph. 26(1): 418-428 (2020) - [j142]Joyce Ma, Kwan-Liu Ma, Jennifer Frazier:
Decoding a Complex Visualization in a Science Museum - An Empirical Study. IEEE Trans. Vis. Comput. Graph. 26(1): 472-481 (2020) - [j141]Oh-Hyun Kwon, Kwan-Liu Ma:
A Deep Generative Model for Graph Layout. IEEE Trans. Vis. Comput. Graph. 26(1): 665-675 (2020) - [j140]Jianping Kelvin Li, Kwan-Liu Ma:
P5: Portable Progressive Parallel Processing Pipelines for Interactive Data Analysis and Visualization. IEEE Trans. Vis. Comput. Graph. 26(1): 1151-1160 (2020) - [j139]Jianping Kelvin Li, Kwan-Liu Ma:
P4: Portable Parallel Processing Pipelines for Interactive Information Visualization. IEEE Trans. Vis. Comput. Graph. 26(3): 1548-1561 (2020) - [j138]Yucong Chris Ye, Franz Sauer, Kwan-Liu Ma, Aditya Konduri, Jacqueline Chen:
A User-Centered Design Study in Scientific Visualization Targeting Domain Experts. IEEE Trans. Vis. Comput. Graph. 26(6): 2192-2203 (2020) - [j137]Kwan-Liu Ma, Han-Wei Shen:
Foreword to the Special Issue on PacificVis 2020 Workshop on Visualization Meets AI. Vis. Informatics 4(2): 71 (2020) - [j136]Rongchen Guo, Takanori Fujiwara, Yiran Li, Kelly M. Lima, Soman Sen, Nam K. Tran, Kwan-Liu Ma:
Comparative visual analytics for assessing medical records with sequence embedding. Vis. Informatics 4(2): 72-85 (2020) - [j135]Yiran Li, Takanori Fujiwara, Yong K. Choi, Katherine K. Kim, Kwan-Liu Ma:
A visual analytics system for multi-model comparison on clinical data predictions. Vis. Informatics 4(2): 122-131 (2020) - [j134]Chris Bryan, Aditi Mishra, Hidekazu Shidara, Kwan-Liu Ma:
Analyzing gaze behavior for text-embellished narrative visualizations under different task scenarios. Vis. Informatics 4(3): 41-50 (2020) - [c257]Joseph Kotlarek, Oh-Hyun Kwon, Kwan-Liu Ma, Peter Eades, Andreas Kerren, Karsten Klein, Falk Schreiber:
A Study of Mental Maps in Immersive Network Visualization. PacificVis 2020: 1-10 - [c256]Ding-Bang Chen, Chien-Hsun Lai, Yun-Hsuan Lien, Yu-Hsuan Lin, Yu-Shuen Wang, Kwan-Liu Ma:
Representing Multivariate Data by Optimal Colors to Uncover Events of Interest in Time Series Data. PacificVis 2020: 156-165 - [c255]Suraj P. Kesavan, Takanori Fujiwara, Jianping Kelvin Li, Caitlin Ross, Misbah Mubarak, Christopher D. Carothers, Robert B. Ross, Kwan-Liu Ma:
A Visual Analytics Framework for Reviewing Streaming Performance Data. PacificVis 2020: 206-215 - [c254]Suyun "Sandra" Bae, Oh-Hyun Kwon, Senthil K. Chandrasegaran, Kwan-Liu Ma:
Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations. CHI 2020: 1-13 - [c253]