Kwan-Liu Ma

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 242

Top Venues

CoRR

IEEE Trans. Vis. Comput. Graph.

PacificVis

LDAV

Publications

Yuya Kawakami, Sarah Yuniar, Kwan-Liu Ma
HexTiles and Semantic Icons for MAUP-Aware Multivariate Geospatial Visualizations. CoRR (2024)
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 (2024)
Keshav Dasu, Sam Yu-Te Lee, Ying-Cheng Chen, Kwan-Liu Ma
NOVA: A visual interface for assessing polarizing media coverage. CoRR (2024)
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)
Ying Chen, Patrick J. F. Groenen, Kwan-Liu Ma, Stefan Van Aelst
Editorial. J. Data Sci. Stat. Vis. 4 (2) (2024)
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) (2024)
David Bauer, Qi Wu, Kwan-Liu Ma
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Mak Ahmad, J. J. Geewax, Andrew Macvean, David R. Karger, Kwan-Liu Ma
API Governance at Scale. ICSE-SEIP (2024)
Hsiao-Ying Lu, Yiran Li, Kwan-Liu Ma
A Visual Analytics Design for Connecting Healthcare Team Communication to Patient Outcomes. CoRR (2024)
Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin, Kwan-Liu Ma
SLIM: Spuriousness Mitigation with Minimal Human Annotations. CoRR (2024)
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)
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 (2024)
Sam Yu-Te Lee, Kwan-Liu Ma
HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agents. CoRR (2024)
Ziquan Deng, Xiwei Xuan, Kwan-Liu Ma, Zhaodan Kong
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series. CoRR (2024)
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 (2024)
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) (2024)
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)
Hsiao-Ying Lu, Yiran Li, Kwan-Liu Ma
EHRFlow: A Visual Analytics Approach to Studying Healthcare Professionals' Communication Effectiveness and Efficiency. CHASE (2024)
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)
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) (2024)
Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma
Character-Oriented Design for Visual Data Storytelling. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
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) (2024)
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) (2023)
Yiran Li, Junpeng Wang, Takanori Fujiwara, Kwan-Liu Ma
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks. CoRR (2023)
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 (2023)
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 (2023)
Xiaoyu Zhang, Xiwei Xuan, Alden Dima, Thurston Sexton, Kwan-Liu Ma
LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations. PacificVis (2023)
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) (2023)
Yun-Hsin Kuo, Beatriz Martínez-López, Kwan-Liu Ma
Investigating Animal Infectious Diseases with Visual Analytics. PacificVis (2023)
Xiaoyu Zhang, Xiwei Xuan, Alden Dima, Thurston Sexton, Kwan-Liu Ma
LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations. CoRR (2023)
Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma
Character-Oriented Design for Visual Data Storytelling. CoRR (2023)
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) (2023)
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)
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) (2023)
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) (2023)
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 (2023)
Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma
VisActs: Describing Intent in Communicative Visualization. CoRR (2023)
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 (2023)
Annie Preston, Kwan-Liu Ma
Communicating Uncertainty and Risk in Air Quality Maps. IEEE Trans. Vis. Comput. Graph. 29 (9) (2023)
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) (2023)
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) (2023)
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 (2023)
Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. CoRR (2023)
David Bauer, Qi Wu, Kwan-Liu Ma
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination. CoRR (2023)
Qi Wu, David Bauer, Yuyang Chen, Kwan-Liu Ma
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation. CoRR (2023)
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) (2023)
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 (2023)
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)
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) (2023)
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 (2023)
David Bauer, Qi Wu, Kwan-Liu Ma
FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
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 (2023)
Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma
Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. PacificVis (2023)
Kwan-Liu Ma
Pushing Visualization Research Frontiers: Essential Topics Not Addressed by Machine Learning. IEEE Computer Graphics and Applications 43 (1) (2023)
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)
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) (2023)
Qi Wu, Michael J. Doyle, David Bauer, Kwan-Liu Ma
Instant Neural Representation for Interactive Volume Rendering. CoRR (2022)
David Bauer, Qi Wu, Kwan-Liu Ma
FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks. CoRR (2022)
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 (2022)
Stefan Zellmann, Qi Wu, Alper Sahistan, Kwan-Liu Ma, Ingo Wald
Beyond ExaBricks: GPU Volume Path Tracing of AMR Data. CoRR (2022)
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)
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) (2022)
Takanori Fujiwara, Xinhai Wei, Jian Zhao, Kwan-Liu Ma
Interactive Dimensionality Reduction for Comparative Analysis. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
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) (2022)
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)
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)
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 (2022)
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)
Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma
Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. CoRR (2022)
Qi Wu, Michael J. Doyle, Kwan-Liu Ma
A Flexible Data Streaming Design for Interactive Visualization of Large-Scale Volume Data. EGPGV@EuroVis (2022)
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) (2022)
Tarik Crnovrsanin, Shilpika, Senthil K. Chandrasegaran, Kwan-Liu Ma
Staged Animation Strategies for Online Dynamic Networks. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
David Bauer, Chengbo Zheng, Oh-Hyun Kwon, Kwan-Liu Ma
A Multi-Layout Approach to Immersive Visualization of Network Data. CoRR (2021)
Oh-Hyun Kwon, Chiun-How Kao, Chun-Houh Chen, Kwan-Liu Ma
A Deep Generative Model for Matrix Reordering. CoRR (2021)
Jianping Kelvin Li, Kwan-Liu Ma
P6: A Declarative Language for Integrating Machine Learning in Visual Analytics. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Xiaoyu Zhang, Senthil K. Chandrasegaran, Kwan-Liu Ma
ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology. CHI (2021)
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) (2021)
Kwan-Liu Ma
Intelligent Visualization Interfaces. IUI (2021)
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 (2021)
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) (2021)
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)
Xiwei Xuan, Xiaoyu Zhang, Oh-Hyun Kwon, Kwan-Liu Ma
CNNC: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks. CoRR (2021)
Namitha V. Benjamin, Robert D. Boutin, Abhijit J. Chaudhari, Kwan-Liu Ma
Genetic Algorithm based L4 Identification and Psoas Segmentation. BIOIMAGING (2021)
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)
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)
Yiran Li, Erin Musabandesu, Takanori Fujiwara, Frank J. Loge, Kwan-Liu Ma
A Visual Analytics System for Water Distribution System Optimization. CoRR (2021)
Takanori Fujiwara, Xinhai Wei, Jian Zhao, Kwan-Liu Ma
Interactive Dimensionality Reduction for Comparative Analysis. CoRR (2021)
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)
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) (2021)
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) (2021)
Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma
Scalable Comparative Visualization of Ensembles of Call Graphs. CoRR (2020)
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) (2020)
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)
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) (2020)
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 (2020)
Jianping Kelvin Li, Kwan-Liu Ma
P6: A Declarative Language for Integrating Machine Learning in Visual Analytics. CoRR (2020)
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 (2020)
Suyun "Sandra" Bae, Oh-Hyun Kwon, Senthil K. Chandrasegaran, Kwan-Liu Ma
Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations. CHI (2020)
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 (2020)
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 (2020)

Kwan-Liu Ma.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kwan-Liu Ma