An interactive visualization interface for studying egocentric, categorical, contact diary datasets. - Chris Bryan; Kwan-Liu Ma; Yang-chih Fu (ASONAM, 2013)

Towards a hybrid agent-based model for mosquito borne disease. - Susan M. Mniszewski; C. A. Manore; Chris Bryan; Sara Y. Del Valle; D. Roberts (SummerSim, 2014)

Integrating predictive analytics into a spatiotemporal epidemic simulation. - Chris Bryan; Xue Wu; Susan M. Mniszewski; Kwan-Liu Ma (VAST, 2015)

Privacy preserving visualization for social network data with ontology information. - Jia-Kai Chou; Chris Bryan; Kwan-Liu Ma (PacificVis, 2017)

Functional Requirements-Based Automated Testing for Avionics. - Youcheng Sun; Martin Brain; Daniel Kroening; Andrew Hawthorn; Thomas Wilson; Florian Schanda; Francisco Javier Guzman Jimenez; Simon Daniel; Chris Bryan; Ian Broster (ICECCS, 2017)

Navigable Videos for Presenting Scientific Data on Affordable Head-Mounted Displays. - Jacqueline Chu; Chris Bryan; Min Shih; Leonardo Ferrer; Kwan-Liu Ma (MMSys, 2017)

Synteny Explorer: An Interactive Visualization Application for Teaching Genome Evolution. - Chris Bryan; Gregory Guterman; Kwan-Liu Ma; Harris A. Lewin; Denis M. Larkin; Jaebum Kim; Jian Ma 004; Marta Farre (IEEE Trans. Vis. Comput. Graph., 2017)

Temporal Summary Images: An Approach to Narrative Visualization via Interactive Annotation Generation and Placement. - Chris Bryan; Kwan-Liu Ma; Jonathan Woodring (IEEE Trans. Vis. Comput. Graph., 2017)

An Empirical Study on Perceptually Masking Privacy in Graph Visualizations. - Jia-Kai Chou; Chris Bryan; Jing Li; Kwan-Liu Ma (VizSEC, 2018)

Chart Constellations: Effective Chart Summarization for Collaborative and Multi-User Analyses. - Shenyu Xu; Chris Bryan; Jianping Kelvin Li; Jian Zhao 010; Kwan-Liu Ma (Comput. Graph. Forum, 2018)

MeetingVis: Visual Narratives to Assist in Recalling Meeting Context and Content. - Yang Shi 007; Chris Bryan; Sridatt Bhamidipati; Ying Zhao 001; Yaoxue Zhang; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2018)

TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings. - Senthil K. Chandrasegaran; Chris Bryan; Hidekazu Shidara; Tung-Yen Chuang; Kwan-Liu Ma (CHI, 2019)

GraphProtector: A Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms. - Xu-Meng Wang; Wei Chen 001; Jia-Kai Chou; Chris Bryan; Huihua Guan; Wenlong Chen; Rusheng Pan; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2019)

DQI: Measuring Data Quality in NLP. - Swaroop Mishra; Anjana Arunkumar; Bhavdeep Singh Sachdeva; Chris Bryan; Chitta Baral (CoRR, 2020)

Our Evaluation Metric Needs an Update to Encourage Generalization. - Swaroop Mishra; Anjana Arunkumar; Chris Bryan; Chitta Baral (CoRR, 2020)

DQI: A Guide to Benchmark Evaluation. - Swaroop Mishra; Anjana Arunkumar; Bhavdeep Singh Sachdeva; Chris Bryan; Chitta Baral (CoRR, 2020)

Analyzing gaze behavior for text-embellished narrative visualizations under different task scenarios. - Chris Bryan; Aditi Mishra; Hidekazu Shidara; Kwan-Liu Ma (Vis. Informatics, 2020)

Phoenix Virtual Heart: A Hybrid VR-Desktop Visualization System for Cardiac Surgery Planning and Education. - Jinbin Huang; Jonathan Plasencia; Dianna M. E. Bardo; Nicholas C. Huber; Erik G. Ellsworth; Steven D. Zangwill; Chris Bryan (VAHC, 2021)

Bayesian Modelling of Alluvial Diagram Complexity. - Anjana Arunkumar; Shashank Ginjpalli; Chris Bryan (IEEE VIS (Short Papers), 2021)

Powering Visualization With Deep Learning. - Yingcai Wu; Siwei Fu; Jian Zhao 010; Chris Bryan (IEEE Computer Graphics and Applications, 2021)

Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning. - Aditi Mishra; Utkarsh Soni; Jinbin Huang; Chris Bryan (CoRR, 2021)

News Kaleidoscope: Visual Investigation of Coverage Diversity in News Event Reporting. - Aditi Mishra; Shashank Ginjpalli; Chris Bryan (PacificVis, 2022)

Why? Why not? When? Visual Explanations of Agent Behaviour in Reinforcement Learning. - Aditi Mishra; Utkarsh Soni; Jinbin Huang; Chris Bryan (PacificVis, 2022)

SPARVIS: Combining Smartphone and Augmented Reality for Visual Data Analytics. - Jinbin Huang; Shuang Liang; Qi Xiong; Yu Gao; Chao Mei; Yi Xu 002; Chris Bryan (ISMAR Adjunct, 2022)

PMUVis : A Large-Scale Platform to Assist Power System Operators in a Smart Grid. - Anjana Arunkumar; Nitin Gupta; Andrea Pinceti; Lalitha Sankar; Chris Bryan (IEEE Computer Graphics and Applications, 2022)

ConceptExplainer: Understanding the Mental Model of Deep Learning Algorithms via Interactive Concept-based Explanations. - Jinbin Huang; Aditi Mishra; Bum-Chul Kwon; Chris Bryan (CoRR, 2022)

A Survey of Parameters Associated with the Quality of Benchmarks in NLP. - Swaroop Mishra; Anjana Arunkumar; Chris Bryan; Chitta Baral (CoRR, 2022)

Hardness of Samples Need to be Quantified for a Reliable Evaluation System: Exploring Potential Opportunities with a New Task. - Swaroop Mishra; Anjana Arunkumar; Chris Bryan; Chitta Baral (CoRR, 2022)

Umbra: A Visual Analysis Approach for Defense Construction Against Inference Attacks on Sensitive Information. - Xumeng Wang; Chris Bryan; Yiran Li 002; Rusheng Pan; Yanling Liu; Wei Chen 001; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2022)

Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow. - Anjana Arunkumar; Swaroop Mishra; Bhavdeep Singh Sachdeva; Chitta Baral; Chris Bryan (EACL, 2023)

Measuring and Comparing Collaborative Visualization Behaviors in Desktop and Augmented Reality Environments. - Michael Kintscher; Jinbin Huang; Anjana Arunkumar; Ashish Amresh; Chris Bryan (VRST, 2023)

PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models. - Aditi Mishra; Utkarsh Soni; Anjana Arunkumar; Jinbin Huang; Bum Chul Kwon; Chris Bryan (CoRR, 2023)

LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity. - Anjana Arunkumar; Shubham Sharma; Rakhi Agrawal; Sriram Chandrasekaran; Chris Bryan (CoRR, 2023)

PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid. - Anjana Arunkumar; Andrea Pinceti; Lalitha Sankar; Chris Bryan (IEEE Trans. Vis. Comput. Graph., 2023)

ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective. - Jinbin Huang; Aditi Mishra; Bum Chul Kwon; Chris Bryan (IEEE Trans. Vis. Comput. Graph., 2023)

ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives. - Jian Zhao 010; Shenyu Xu; Senthil K. Chandrasegaran; Chris Bryan; Fan Du; Aditi Mishra; Xin Qian; Yiran Li 002; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2023)

LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity. - A. Arunkumar; Shubham Sharma; Rakhi Agrawal; Sriram Chandrasekaran; Chris Bryan (Comput. Graph. Forum, 2023)

ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scale. - Jinbin Huang; Chen Chen; Aditi Mishra; Bum Chul Kwon; Zhicheng Liu; Chris Bryan (CoRR, 2024)

InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation. - Jinbin Huang; Wenbin He; Liang Gou; Liu Ren; Chris Bryan (CoRR, 2024)

Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification. - Anjana Arunkumar; Lace M. K. Padilla; Gi-Yeul Bae; Chris Bryan (IEEE Trans. Vis. Comput. Graph., 2024)

Lost in Translation: How Does Bilingualism Shape Reader Preferences for Annotated Charts? - Anjana Arunkumar; Lace M. K. Padilla; Chris Bryan (CHI, 2025)

Modeling and Measuring the Chart Communication Recall Process. - Anjana Arunkumar; Lace M. K. Padilla; Chris Bryan (Comput. Graph. Forum, 2025)

Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data Visualizations. - Anjana Arunkumar; Lace M. K. Padilla; Chris Bryan (IEEE Trans. Vis. Comput. Graph., 2025)

Defogger: A Visual Analysis Approach for Data Exploration of Sensitive Data Protected by Differential Privacy. - Xumeng Wang; Shuangcheng Jiao; Chris Bryan (IEEE Trans. Vis. Comput. Graph., 2025)

Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. - Ahmed Almeldein; Mohammed Alnaggar; Rick Archibald; Tom Beck; Arpan Biswas; Rike Bostelmann; Wes Brewer; Chris Bryan; Christopher Calle; Cihangir Celik; Rajni Chahal; Jong Youl Choi; et al. (CoRR, 2025)