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2020 – today
- 2023
[j165]Kwan-Liu Ma
:
Pushing Visualization Research Frontiers: Essential Topics Not Addressed by Machine Learning. IEEE Computer Graphics and Applications 43(1): 97-102 (2023)- [j164]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) - [j163]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) - [j162]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) - [j161]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) - [j160]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) - [j159]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) - [j158]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) - [c270]Xiaoyu Zhang, Jianping Kevin 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 - [c269]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 - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]David Bauer, Qi Wu, Kwan-Liu Ma:
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination. CoRR abs/2304.07338 (2023) - [i52]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) - [i51]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) - 2022
- [j157]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) - [j156]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) - [j155]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) - [j154]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) - [j153]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
- [j152]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) - [j151]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) - [j150]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) - [j149]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) - [j148]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) - [j147]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
- [j146]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) - [j145]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) - [j144]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) - [j143]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) - [j142]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) - [j141]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) - [j140]Oh-Hyun Kwon, Kwan-Liu Ma:
A Deep Generative Model for Graph Layout. IEEE Trans. Vis. Comput. Graph. 26(1): 665-675 (2020) - [j139]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) - [j138]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) - [j137]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) - [j136]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) - [j135]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) - [j134]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) - [j133]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]Jingming Hu, Seok-Hee Hong, Jialu Chen, Marnijati Torkel, Peter Eades, Kwan-Liu Ma:
Connectivity-Based Spectral Sampling for Big Complex Network Visualization. COMPLEX NETWORKS (1) 2020: 237-248 - [c252]Gennady L. Andrienko, Natalia V. Andrienko, Steven Mark Drucker, Jean-Daniel Fekete, Danyel Fisher, Stratos Idreos, Tim Kraska, Guoliang Li, Kwan-Liu Ma, Jock D. Mackinlay, Antti Oulasvirta, Tobias Schreck, Heidrun Schumann, Michael Stonebraker, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf:
Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications. EDBT/ICDT Workshops 2020 - [c251]Suyun "Sandra" Bae, Federico Rossi, Joshua Vander Hook, Scott Davidoff, Kwan-Liu Ma:
A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems' Worldviews. IEEE VAST@IEEE VIS 2020: 24-35 - [c250]Takanori Fujiwara, Jian Zhao, Francine Chen, Kwan-Liu Ma:
A Visual Analytics Framework for Contrastive Network Analysis. IEEE VAST@IEEE VIS 2020: 48-59 - [c249]Qi Wu, Tyson Neuroth, Oleg Igouchkine, Aditya Konduri, Jacqueline H. Chen, Kwan-Liu Ma:
DIVA: A Declarative and Reactive Language for in situ Visualization. LDAV 2020: 1-11 - [i38]Suyun "Sandra" Bae, Oh-Hyun Kwon, Senthil K. Chandrasegaran, Kwan-Liu Ma:
Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations. CoRR abs/2001.02746 (2020) - [i37]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. CoRR abs/2001.06462 (2020) - [i36]Chuan Wang, Xu-Meng Wang, Kwan-Liu Ma:
Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks. CoRR abs/2001.08379 (2020) - [i35]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. CoRR abs/2001.09399 (2020) - [i34]Qi Wu, Tyson Neuroth, Oleg Igouchkine, Kwan-Liu Ma, Aditya Konduri, Jacqueline H. Chen:
Diva: A Declarative and Reactive Language for In-Situ Visualization. CoRR abs/2001.11604 (2020) - [i33]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. CoRR abs/2002.08356 (2020) - [i32]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. CoRR abs/2002.10998 (2020) - [i31]Xiaoyu Zhang, Senthil K. Chandrasegaran, Kwan-Liu Ma:
ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology. CoRR abs/2003.05108 (2020) - [i30]Takanori Fujiwara, Jian Zhao, Francine Chen, Yaoliang Yu, Kwan-Liu Ma:
Interpretable Contrastive Learning for Networks. CoRR abs/2005.12419 (2020) - [i29]Siwei Fu, Jian Zhao, Linping Yuan, Zhicheng Liu, Kwan-Liu Ma, Huamin Qu:
ICE: Identify and Compare Event Sequence Sets through Multi-Scale Matrix and Unit Visualizations. CoRR abs/2006.12718 (2020) - [i28]Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma:
Scalable Comparative Visualization of Ensembles of Call Graphs. CoRR abs/2007.01395 (2020) - [i27]Takanori Fujiwara, Jian Zhao, Francine Chen, Kwan-Liu Ma:
A Visual Analytics Framework for Contrastive Network Analysis. CoRR abs/2008.00151 (2020) - [i26]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. CoRR abs/2008.01645 (2020) - [i25]Jianping Kelvin Li, Kwan-Liu Ma:
P6: A Declarative Language for Integrating Machine Learning in Visual Analytics. CoRR abs/2009.01399 (2020) - [i24]Suyun "Sandra" Bae, Federico Rossi, Joshua Vander Hook, Scott Davidoff, Kwan-Liu Ma:
A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems' Worldviews. CoRR abs/2009.01921 (2020) - [i23]Tarik Crnovrsanin, Shilpika, Senthil K. Chandrasegaran, Kwan-Liu Ma:
Staged Animation Strategies for Online Dynamic Networks. CoRR abs/2009.02005 (2020) - [i22]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. CoRR abs/2010.07047 (2020) - [i21]Chuan Wang, Kwan-Liu Ma:
HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning. CoRR abs/2011.02149 (2020) - [i20]Shilpika, Takanori Fujiwara, Naohisa Sakamoto, Jorji Nonaka, Kwan-Liu Ma:
A Visual Analytics Approach to Monitor Time-Series Data with Incremental and Progressive Functional Data Analysis. CoRR abs/2011.13079 (2020) - [i19]Annie Preston, Kwan-Liu Ma:
Communicating Uncertainty and Risk in Air Quality Maps. CoRR abs/2012.11109 (2020) - [i18]Steven Chaplick, Takayuki Itoh, Giuseppe Liotta, Kwan-Liu Ma, Ignaz Rutter:
Trends and Perspectives for Graph Drawing and Network Visualization (NII Shonan Meeting 171). NII Shonan Meet. Rep. 2020 (2020)
2010 – 2019
- 2019
- [j132]Annie Preston, Maksim Gomov, Kwan-Liu Ma:
Uncertainty-Aware Visualization for Analyzing Heterogeneous Wildfire Detections. IEEE Computer Graphics and Applications 39(5): 72-82 (2019) - [j131]Jia-Kai Chou, Yang Wang, Kwan-Liu Ma:
Privacy Preserving Visualization: A Study on Event Sequence Data. Comput. Graph. Forum 38(1): 340-355 (2019) - [j130]Tyson Neuroth, Franz Sauer, Kwan-Liu Ma:
An Interactive Visualization System for Large Sets of Phase Space Trajectories. Comput. Graph. Forum 38(3): 297-309 (2019) - [j129]Xu-Meng Wang, Wei Chen, Jia-Kai Chou, Chris Bryan, Huihua Guan, Wenlong Chen, Rusheng Pan, Kwan-Liu Ma:
GraphProtector: A Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms. IEEE Trans. Vis. Comput. Graph. 25(1): 193-203 (2019) - [j128]Min Shih, Charles Rozhon, Kwan-Liu Ma:
A Declarative Grammar of Flexible Volume Visualization Pipelines. IEEE Trans. Vis. Comput. Graph. 25(1): 1050-1059 (2019) - [j127]Roba Binyahib, Tom Peterka, Matthew Larsen, Kwan-Liu Ma, Hank Childs:
A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data. IEEE Trans. Vis. Comput. Graph. 25(7): 2349-2361 (2019) - [j126]Bin Sheng, Ping Li, Chenhao Gao, Kwan-Liu Ma:
Deep Neural Representation Guided Face Sketch Synthesis. IEEE Trans. Vis. Comput. Graph. 25(12): 3216-3230 (2019) - [c248]Tianchen Sun, Yucong Ye, Issei Fujishiro, Kwan-Liu Ma:
Collaborative Visual Analysis with Multi-level Information Sharing Using a Wall-Size Display and See-Through HMDs. PacificVis 2019: 11-20 - [c247]Tyson Neuroth, Kwan-Liu Ma:
Interactive Spatiotemporal Visualization of Phase Space Particle Trajectories Using Distance Plots. PacificVis 2019: 232-236 - [c246]Maksim Gomov, Tarik Crnovrsanin, Keshav Dasu, Kwan-Liu Ma:
An Interactive System for Exploring Historical Fire Data. PacificVis 2019: 277-281 - [c245]Senthil K. Chandrasegaran, Chris Bryan, Hidekazu Shidara, Tung-Yen Chuang, Kwan-Liu Ma:
TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings. CHI 2019: 577 - [c244]Amyra Meidiana, Seok-Hee Hong, Jiajun Huang, Peter Eades, Kwan-Liu Ma:
Topology-Based Spectral Sparsification. LDAV 2019: 73-82 - [c243]Shilpika, Bethany Lusch, Murali Emani, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
MELA: A Visual Analytics Tool for Studying Multifidelity HPC System Logs. DAAC@SC 2019: 13-18 - [i17]