2025
HybridCollab: Unifying In-Person and Remote Collaboration for Cardiovascular Surgical Planning in Mobile Augmented Reality.
CoRR, April, 2025
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features.
CoRR, February, 2025
Managing Project Teams in an Online Class of 1000+ Students.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025
TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
LLM Attributor: Interactive Visual Attribution for LLM Generation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
An Interrogative Survey of Explainable AI in Manufacturing.
IEEE Trans. Ind. Informatics, May, 2024
VG: Automatic Grading of D3 Visualizations.
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IEEE Trans. Vis. Comput. Graph., January, 2024
Adversarial Attacks Using Differentiable Rendering: A Survey.
CoRR, 2024
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing.
CoRR, 2024
UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining.
CoRR, 2024
Self-Supervised Pre-Training for Table Structure Recognition Transformer.
CoRR, 2024
Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions.
CoRR, 2024
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models.
CoRR, 2024
Wordflow: Social Prompt Engineering for Large Language Models.
CoRR, 2024
Multi-User Mobile Augmented Reality for Cardiovascular Surgical Planning.
Proceedings of the IEEE Visualization and Visual Analytics, 2024
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.
Proceedings of the IEEE Visualization and Visual Analytics, 2024
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization.
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Proceedings of the 17th IEEE Pacific Visualization Conference, 2024
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Dense Associative Memory Through the Lens of Random Features.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Interactive Visual Learning for Stable Diffusion.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
Revamp: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
ARCollab: Towards Multi-User Interactive Cardiovascular Surgical Planning in Mobile Augmented Reality.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
Effective Guidance for Model Attention with Simple Yes-no Annotations.
Proceedings of the IEEE International Conference on Big Data, 2024
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Graph Vulnerability and Robustness: A Survey.
IEEE Trans. Knowl. Data Eng., June, 2023
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere.
Dataset, February, 2023
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking.
IEEE Trans. Vis. Comput. Graph., 2023
High-Performance Transformers for Table Structure Recognition Need Early Convolutions.
CoRR, 2023
VisGrader: Automatic Grading of D3 Visualizations.
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CoRR, 2023
ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning.
CoRR, 2023
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories.
CoRR, 2023
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked.
CoRR, 2023
ManimML: Communicating Machine Learning Architectures with Animation.
CoRR, 2023
RobArch: Designing Robust Architectures against Adversarial Attacks.
CoRR, 2023
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023
Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph., 2022
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling.
ACM J. Data Inf. Qual., 2022
Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351).
Dagstuhl Reports, 2022
Evaluation of Argo Scholar with Observational Study.
CoRR, 2022
NeuroMapper: In-browser Visualizer for Neural Network Training.
CoRR, 2022
Explaining Website Reliability by Visualizing Hyperlink Connectivity.
CoRR, 2022
IMB-NAS: Neural Architecture Search for Imbalanced Datasets.
CoRR, 2022
Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality.
CoRR, 2022
NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics.
CoRR, 2022
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training.
CoRR, 2022
Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on the Google Play Store.
CoRR, 2022
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022
Explaining Website Reliability by Visualizing Hyperlink Connectivity.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities.
Proceedings of the IEEE International Conference on Acoustics, 2022
Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on Google Play.
Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
VIsCUIT: Visual Auditor for Bias in CNN Image Classifier.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Visual Exploration of Literature with Argo Scholar.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Context-aware Traffic Flow Forecasting in New Roads.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
MalNet: A Large-Scale Image Database of Malicious Software.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
MisVis: Explaining Web Misinformation Connections via Visual Summary.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
A Search Engine for Discovery of Scientific Challenges and Directions.
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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.
IEEE Trans. Vis. Comput. Graph., 2021
Towards De-Anonymization of Google Play Search Rank Fraud.
IEEE Trans. Knowl. Data Eng., 2021
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization.
Proc. ACM Hum. Comput. Interact., 2021
Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media.
J. Biomed. Informatics, 2021
GAM Changer: Editing Generalized Additive Models with Interactive Visualization.
CoRR, 2021
Argo Scholar: Interactive Visual Exploration of Literature in Browsers.
CoRR, 2021
Towards Automatic Grading of D3.js Visualizations.
CoRR, 2021
A Search Engine for Discovery of Biomedical Challenges and Directions.
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CoRR, 2021
Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes.
CoRR, 2021
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software.
CoRR, 2021
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning.
Comput. Graph. Forum, 2021
The Role of Interactive Visualization in Fostering Trust in AI.
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IEEE Computer Graphics and Applications, 2021
A Large-Scale Database for Graph Representation Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Evaluating Graph Vulnerability and Robustness using TIGER.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Interactive Cardiovascular Surgical Planning via Augmented Reality.
Proceedings of the AsianCHI '21: 5th Asian CHI Symposium, 2021
CUP: Cluster Pruning for Compressing Deep Neural Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
HAR: Hardness Aware Reweighting for Imbalanced Datasets.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Dodrio: Exploring Transformer Models with Interactive Visualization.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations.
IEEE Trans. Vis. Comput. Graph., 2020
Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382).
Dagstuhl Reports, 2020
Toward a Bias-Aware Future for Mixed-Initiative Visual Analytics.
CoRR, 2020
A Comparative Analysis of Industry Human-AI Interaction Guidelines.
CoRR, 2020
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations.
CoRR, 2020
Mapping Researchers with PeopleMap.
CoRR, 2020
ELF: An Early-Exiting Framework for Long-Tailed Classification.
CoRR, 2020
PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing.
CoRR, 2020
Evaluating Graph Vulnerability and Robustness using TIGER.
CoRR, 2020
D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks.
CoRR, 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
How Does Visualization Help People Learn Deep Learning? Evaluating GAN Lab with Observational Study and Log Analysis.
Proceedings of the 31st IEEE Visualization Conference, 2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks.
Proceedings of the 31st IEEE Visualization Conference, 2020
GOGGLES: Automatic Image Labeling with Affinity Coding.
Proceedings of the 2020 International Conference on Management of Data, 2020
AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
D<sup>2</sup>M: Dynamic Defense and Modeling of Adversarial Movement in Networks.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Examining the Ordering of Rhetorical Strategies in Persuasive Requests.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
CNN 101: Interactive Visual Learning for Convolutional Neural Networks.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
RECAST: Interactive Auditing of Automatic Toxicity Detection Models.
Proceedings of the Chinese CHI 2020: The eighth International Workshop of Chinese CHI, 2020
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation.
IEEE Trans. Vis. Comput. Graph., 2019
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers.
IEEE Trans. Vis. Comput. Graph., 2019
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1).
ACM Trans. Knowl. Discov. Data, 2019
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions.
CoRR, 2019
Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA.
CoRR, 2019
GOGGLES: Automatic Training Data Generation with Affinity Coding.
CoRR, 2019
ElectroLens: Understanding Atomistic Simulations through Spatially-Resolved Visualization of High-Dimensional Features.
Proceedings of the 30th IEEE Visualization Conference, 2019
Atlas: local graph exploration in a global context.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019
FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning.
Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019
Mixed Reality for Learning Programming.
Proceedings of the 18th ACM International Conference on Interaction Design and Children, 2019
2018
Fraud Detection Using Social Network Analysis: A Case Study.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
VIGOR: Interactive Visual Exploration of Graph Query Results.
IEEE Trans. Vis. Comput. Graph., 2018
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models.
IEEE Trans. Vis. Comput. Graph., 2018
Chronodes: Interactive Multifocus Exploration of Event Sequences.
ACM Trans. Interact. Intell. Syst., 2018
Large Graph Exploration via Subgraph Discovery and Decomposition.
CoRR, 2018
Interactive Classification for Deep Learning Interpretation.
CoRR, 2018
Robust Physical Adversarial Attack on Faster R-CNN Object Detector.
CoRR, 2018
Approximate Query Matching for Image Retrieval.
CoRR, 2018
Building Big Data Processing and Visualization Pipeline through Apache Zeppelin.
Proceedings of the Practice and Experience on Advanced Research Computing, 2018
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Search Rank Fraud De-Anonymization in Online Systems.
Proceedings of the 29th on Hypertext and Social Media, 2018
Augmenting Coding: Augmented Reality for Learning Programming.
Proceedings of the Sixth International Symposium of Chinese CHI, 2018
Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Local Partition in Rich Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Approximate Query Matching for Graph-Based Holistic Image Retrieval.
Proceedings of the Big Data - BigData 2018, 2018
2017
Search Rank Fraud and Malware Detection in Google Play.
IEEE Trans. Knowl. Data Eng., 2017
Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K).
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IEEE Pervasive Comput., 2017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression.
CoRR, 2017
Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Visual Graph Query Construction and Refinement.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
FACETS: Adaptive Local Exploration of Large Graphs.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017
mHealth visual discovery dashboard.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
Analysis of Smoking and Drinking Relapse in an Online Community.
Proceedings of the 2017 International Conference on Digital Health, 2017
ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
Predicting Cyber Threats with Virtual Security Products.
Proceedings of the 33rd Annual Computer Security Applications Conference, 2017
Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities.
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
2016
Node Immunization on Large Graphs: Theory and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016
Interactive Browsing and Navigation in Relational Databases.
Proc. VLDB Endow., 2016
Constraint based temporal event sequence mining for Glioblastoma survival prediction.
J. Biomed. Informatics, 2016
Chronodes: Interactive Multi-focus Exploration of Event Sequences.
CoRR, 2016
Generating Graph Snapshots from Streaming Edge Data.
Proceedings of the 25th International Conference on World Wide Web, 2016
Visual exploration of machine learning results using data cube analysis.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016
M3: Scaling Up Machine Learning via Memory Mapping.
Proceedings of the 2016 International Conference on Management of Data, 2016
FairPlay: Fraud and Malware Detection in Google Play.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
STEPS: A Spatio-temporal Electric Power Systems Visualization.
Proceedings of the Companion Publication of the 21st International Conference on Intelligent User Interfaces, 2016
Building a research data science platform from industrial machines.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
VISAGE: Interactive Visual Graph Querying.
Proceedings of the International Working Conference on Advanced Visual Interfaces, 2016
Communication Efficient Distributed Agnostic Boosting.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
What's Hot in Intelligent User Interfaces.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
To catch a fake: Curbing deceptive Yelp ratings and venues.
Stat. Anal. Data Min., 2015
Center of excellence for mobile sensor data-to-knowledge (MD2K).
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J. Am. Medical Informatics Assoc., 2015
Understanding variations in pediatric asthma care processes in the emergency department using visual analytics.
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J. Am. Medical Informatics Assoc., 2015
Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs.
CoRR, 2015
Spotting Suspicious Reviews via (Quasi-)clique Extraction.
CoRR, 2015
M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model.
CoRR, 2015
ACM IUI 2015 conference highlights.
AI Matters, 2015
Identifying Successful Investors in the Startup Ecosystem.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
A visual analytics approach to understanding care process variation and conformance.
Proceedings of the 2015 Workshop on Visual Analytics in Healthcare, 2015
Aurigo: an Interactive Tour Planner for Personalized Itineraries.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015
Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design.
Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, 2015
TimeStitch: Interactive multi-focus cohort discovery and comparison.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015
Characterizing Smoking and Drinking Abstinence from Social Media.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015
explICU: A web-based visualization and predictive modeling toolkit for mortality in intensive care patients.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Scalable graph exploration and visualization: Sensemaking challenges and opportunities.
Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015
2014
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration.
IEEE Trans. Vis. Comput. Graph., 2014
Large-scale insider trading analysis: patterns and discoveries.
Soc. Netw. Anal. Min., 2014
SharkFin: Spatio-temporal mining of software adoption and penetration.
Soc. Netw. Anal. Min., 2014
Big graph mining for the web and social media: algorithms, anomaly detection, and applications.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Turning the Tide: Curbing Deceptive Yelp Behaviors.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Guilt by association: large scale malware detection by mining file-relation graphs.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
GLOs: graph-level operations for exploratory network visualization.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014
HCI meets data mining: principles and tools for big data analytics.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014
LatentGesture: active user authentication through background touch analysis.
Proceedings of the Second International Symposium of Chinese CHI, 2014
MAGE: Matching approximate patterns in richly-attributed graphs.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
MMap: Fast billion-scale graph computation on a PC via memory mapping.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Towards scalable graph computation on mobile devices.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Mining Connection Pathways for Marked Nodes in Large Graphs.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Detecting insider threats in a real corporate database of computer usage activity.
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Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Augmenting MATLAB with semantic objects for an interactive visual environment.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013
Demonstrating Interactive Multi-resolution Large Graph Exploration.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Fast interactive visualization for multivariate data exploration.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013
Leveraging memory mapping for fast and scalable graph computation on a PC.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Inside insider trading: patterns & discoveries from a large scale exploratory analysis.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
Spatio-temporal mining of software adoption & penetration.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
Data Mining Meets HCI: Making Sense of Large Graphs.
PhD thesis, 2012
OPAvion: mining and visualization in large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
TourViz: interactive visualization of connection pathways in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Pegasus: Mining billion-scale graphs in the cloud.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
TopicViz: interactive topic exploration in document collections.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012
Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
2011
Catching bad guys with graph mining.
XRDS, 2011
TopicScape: Semantic Navigation of Document Collections
CoRR, 2011
Large Scale Graph Mining and Inference for Malware Detection.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Apolo: interactive large graph sensemaking by combining machine learning and visualization.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Mining large graphs: Algorithms, inference, and discoveries.
Proceedings of the 27th International Conference on Data Engineering, 2011
Apolo: making sense of large network data by combining rich user interaction and machine learning.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011
2010
On the Vulnerability of Large Graphs.
Proceedings of the ICDM 2010, 2010
2009
SHIFTR: a user-directed, link-based system for ad hoc sensemaking of large heterogeneous data collections.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009
2008
GRAPHITE: A Visual Query System for Large Graphs.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
What to do when search fails: finding information by association.
Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008
2007
Netprobe: a fast and scalable system for fraud detection in online auction networks.
Proceedings of the 16th International Conference on World Wide Web, 2007
Parallel crawling for online social networks.
Proceedings of the 16th International Conference on World Wide Web, 2007
Eyes on the road, hands on the wheel: thumb-based interaction techniques for input on steering wheels.
Proceedings of the Graphics Interface 2007 Conference, May 28-30, 2007, Montreal, Canada, 2007
An alternative to push, press, and tap-tap-tap: gesturing on an isometric joystick for mobile phone text entry.
Proceedings of the 2007 Conference on Human Factors in Computing Systems, 2007
Demonstrating the viability of automatically generated user interfaces.
Proceedings of the 2007 Conference on Human Factors in Computing Systems, 2007
2006
A Linguistic Analysis of How People Describe Software Problems.
Proceedings of the 2006 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2006), 2006
In-stroke word completion.
Proceedings of the 19th Annual ACM Symposium on User Interface Software and Technology, 2006
Huddle: automatically generating interfaces for systems of multiple connected appliances.
Proceedings of the 19th Annual ACM Symposium on User Interface Software and Technology, 2006
Detecting Fraudulent Personalities in Networks of Online Auctioneers.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Answering why and why not questions in user interfaces.
Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006
Integrating isometric joysticks into mobile phones for text entry.
Proceedings of the Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006