For citations, please see my Google Scholar page (total: 5,000+, h-index: 28).
Preprints
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COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs
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When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
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From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models
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Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models
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Gemma 2: Improving Open Language Models at a Practical Size
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Interactive Prompt Debugging with Sequence Salience
Publications
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Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior
CHI 2026 (Conditionally Accepted)
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Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation
CHI 2026 (Conditionally Accepted)
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SafePath: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment
39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.
arXiv PDF -
LLM Adoption in Data Curation Workflows: Industry Practices and Insights
ACM CHI conference on Human Factors in Computing Systems (CHI'25), Late Breaking Work Poster, 2025.
DOI -
From Perception to Decision: Assessing the Role of Chart Types Affordances in High-Level Decision Tasks
IEEE Conference on Visualization and Visual Analytics (VIS'25), Short, 2025.
arXiv PDF -
LLM Attributor: Interactive Visual Attribution for LLM Generation
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'25), Demo, 2025.
DOI -
LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models
IEEE Transactions on Visualization and Computer Graphics (VIS'24), 2025.
DOI PDF Blog Code
Deployed on Google's LLM Evaluation Platforms
Featured at Google I/O on Gemini Open Models and Responsible AI Toolkit -
Lexically-Constrained Automated Prompt Augmentation: A Case Study using Adversarial T2I Data
Safe Generative AI Workshop @ NeurIPS, 2024.
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Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation
ACM Conference on Fairness, Accountability, and Transparency (FAccT'24), 2024.
DOI arXiv PDF Blog -
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration
ACM CHI conference on Human Factors in Computing Systems (CHI'24), Late Breaking Work Poster, 2024.
DOI arXiv PDF Code -
Understanding the Dataset Practitioners Behind Large Language Model Development
ACM CHI conference on Human Factors in Computing Systems (CHI'24), Late Breaking Work Poster, 2024.
DOI arXiv PDF -
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
ACM CHI conference on Human Factors in Computing Systems (CHI'24), Late Breaking Work Poster, 2024.
DOI arXiv PDF Blog Code
Deployed on Google's LLM Evaluation Platforms
Featured at Google I/O on Gemini Open Models and Responsible AI Toolkit -
VLSlice: Interactive Vision-and-Language Slice Discovery
International Conference on Computer Vision (ICCV'23), 2023.
DOI arXiv PDF Talk Website -
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models
IEEE Visualization Conference (VIS'23), Short, 2023.
DOI PDF -
VIVA: Visual Exploration and Analysis of Videos with Interactive Annotation
28th ACM International Conference on Intelligent User Interfaces (IUI'23), Demo, 2023.
DOI PDF -
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps
IEEE Transactions on Visualization and Computer Graphics, 29(1) (VIS'22), 2023.
DOI PDF Twitter Post Demo -
Beyond Value: CheckList for Testing Inferences in Planning-Based RL
32nd International Conference on Automated Planning and Scheduling (ICAPS'22), 2022.
AAAI PDF -
FitVid: Responsive and Flexible Video Content Adaptation
ACM CHI Conference on Human Factors in Computing Systems (CHI'22), 2022.
DOI PDF -
Finding AI's Faults with AAR/AI: An Empirical Study
ACM Transactions on Interactive Intelligent Systems, 12(1) (TiiS), 2022.
DOI PDF -
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
35th Conference on Neural Information Processing Systems (NeurIPS'21), 2021.
PDF arXiv -
Contrastive Identification of Covariate Shift in Image Data
IEEE Visualization Conference (VIS'21), Short, 2021.
DOI PDF -
"Why did my AI agent lose?": Visual Analytics for Scaling Up After-Action Review
IEEE Visualization Conference (VIS'21), Short, 2021.
DOI PDF -
Backprop Explainer: Interactive Explanation of Backpropagation in Neural Network Training
4th Workshop on Visualization for AI Explainability (VISxAI at VIS'21), 2021.
Interactive Article -
From Heatmaps to Structural Explanations of Image Classifiers
Applied AI Letters, 2021.
DOI -
From "No Clear Winner" to an Effective XAI Process: An Empirical Journey
Applied AI Letters, 2021.
DOI PDF -
Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches
ACM/IEEE 14th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE'21), 2021.
DOI PDF -
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
IEEE Transactions on Visualization and Computer Graphics (VIS'20), 2020.
DOI PDF Demo Video Code -
How Does Visualization Help People Learn Deep Learning? Evaluation of GAN Lab with Observational Study and Log Analysis
IEEE Visualization Conference (VIS'20), Short, 2020.
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Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations
IJCAI-PRICAI 2020 Workshop on Explainable Artificial Intelligence (XAI), 2020.
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CNN 101: Interactive Visual Learning for Convolutional Neural Networks
ACM SIGCHI Conference on Human Factors in Computing Systems (CHI'20), Late Breaking Work Poster, 2020.
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FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
IEEE Conference on Visual Analytics Science and Technology (VIS'19), 2019.
DOI PDF arXiv Blog Code -
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
IEEE Transactions on Visualization and Computer Graphics, 25(8), 2019.
DOI PDF Website Medium -
How Does Visualization Help People Learn Deep Learning? Evaluation of GAN Lab
Workshop on Evaluation of Interactive Visual Machine Learning Systems (EVIVA-ML at IEEE VIS'19), 2019.
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Discovery of Intersectional Bias in Machine Learning Using Automatic Subgroup Generation
Ángel Alexander Cabrera,
Debugging Machine Learning Models Workshop (at ICLR'19), 2019.
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GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
IEEE Transactions on Visualization and Computer Graphics, 25(1) (VIS'18), 2019.
Open sourced with Google AI
DOI PDF Slides Code Website -
Chronodes: Interactive Multifocus Exploration of Event Sequences
ACM Transactions on Interactive Intelligent Systems (TiiS), 8(1), 2018.
Best Paper, Honorable Mention
DOI PDF -
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
IEEE Transactions on Visualization and Computer Graphics, 24(1) (VIS'17), 2018.
Deployed on Facebook ML Platform; Invited to present at SIGGRAPH'18 as a top VIS paper (4 total)
DOI PDF Video Slides Website -
Designing a Visual Analytic System for Industry-Scale Deep Neural Network Models
Workshop on Visual Analytics for Deep Learning (VADL at IEEE VIS'17), 2017.
A summary version of the paper presented at VIS'17 listed above.
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FACETS: Adaptive Local Exploration of Large Graphs
SIAM International Conference on Data Mining (SDM'17), 2017.
DOI PDF -
Interactive Browsing and Navigation in Relational Databases
Proceedings of the VLDB Endowment, 9(12) (VLDB'16), 2016.
DOI PDF Slides -
M-Flash: Fast Billion-scale Graph Computation Using a Bimodal Block Processing Model
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'16), 2016.
DOI -
mHealth Visual Discovery Dashboard
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'17), Demo, 2017.
PDF Video -
Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities
Mobile Health: Sensors, Analytic Methods, and Applications, Springer, 2017.
DOI -
Visual Exploration of Machine Learning Results using Data Cube Analysis
Workshop on Human-In-the-Loop Data Analytics (HILDA at SIGMOD'16), 2016.
Deployed on Facebook ML Platform
DOI PDF Slides -
STEPS: A Spatio-temporal Electric Power Systems Visualization
ACM International Conference on Intelligent User Interfaces (IUI'16), Poster, 2016.
DOI -
Understanding Variations in Pediatric Asthma Care Processes in the Emergency Department using Visual Analytics
Journal of the American Medical Informatics Association, 22(2) (Special Issue on Visual Analytics in Healthcare), 2015.
DOI -
Constructing Compact and Effective Graphs for Recommender Systems via Node and Edge Aggregations
Expert Systems with Applications, 42(7), 2015.
DOI -
TimeStitch: Interactive Multi-focus Cohort Discovery and Comparison
IEEE Conference on Visual Analytics Science and Technology (VIS'15), Poster, IEEE, 2015.
DOI PDF -
AdaptiveNav: Adaptive Discovery of Interesting and Surprising Nodes in Large Graphs
IEEE VIS Conference (VIS'15), Poster, 2015.
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A Visual Analytics Approach to Understanding Care Process Variation and Conformance
Workshop on Visual Analytics in Healthcare (at VIS'15), 2015.
DOI -
Scalable Graph Exploration and Visualization: Sensemaking Challenges and Opportunities
International Conference on Big Data and Smart Computing (Invited), 2015.
DOI PDF -
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration
IEEE Transactions on Visualization and Computer Graphics, 20(12) (InfoVis as part of VIS'14), 2014.
DOI PDF Video -
MMap: Fast Billion-Scale Graph Computation on a PC via Memory Mappping
IEEE International Conference on Big Data, 2014.
DOI PDF Website -
Bicentric Visualization of Pediatric Asthma Care Process Activities
IEEE VIS Workshop on EHR Data (at VIS'14), 2014.
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Towards Scalable Graph Computation on Mobile Devices
IEEE BigData Workshop on Scalable Machine Learning (at BigData'14), 2014.
DOI PDF -
Exploring Clinical Care Processes Using Visual and Data Analytics: Challenges and Opportunities
KDD Workshop on Data Science for Social Good (at KDD'14), 2014.
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GLOs: Graph-Level Operations for Exploratory Network Visualization
ACM SIGCHI Conference on Human Factors in Computing Systems (CHI'14), Extended Abstracts, 2014.
DOI PDF -
PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems
Expert Systems with Applications, 40(2), 2013.
An extended version of the paper presented at CIKM'12 listed below.
DOI -
Exploiting Paths for Entity Search in RDF Graphs
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'12), Poster, 2012.
DOI PDF Poster -
PathRank: A Novel Node Ranking Measure on a Heterogeneous Graph for Recommender Systems
ACM Conference on Information and Knowledge Management (CIKM'12), 2012.
DOI -
Ranking Objects by Following Paths in Entity-Relationship Graphs
ACM Workshop for Ph.D. Students in Information and Knowledge Management (Ph.D. Workshop at CIKM'11), 2011.
Best Paper Award
DOI PDF Slides -
Ranking in Context-Aware Recommender Systems
International Conference on World Wide Web (WWW'11), Poster, 2011.
DOI PDF Poster -
Random Walk based Entity Ranking on Graph for Multidimensional Recommendation
ACM Conference on Recommender Systems (RecSys'11), 2011.
DOI PDF -
Exploiting Contextual Information from Event Logs for Personalized Recommendation
Computer and Information Science 2010, Studies in Computational Intelligence, Springer, 2010.
DOI -
Si-Fi: Interactive Similar Item Finder
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'10), Demo, 2010.
DOI