Polo Chau

Affiliations:
  • Georgia Institute of Technology, GA, USA
  • Carnegie Mellon University, Pittsburgh, PA, USA (PhD 2012)


According to our database1, Polo Chau authored at least 215 papers between 2006 and 2024.

Collaborative distances:

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Bibliography

2024
VG: Automatic Grading of D3 Visualizations.
IEEE Trans. Vis. Comput. Graph., January, 2024

Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions.
CoRR, 2024

ARCollab: Towards Multi-User Interactive Cardiovascular Surgical Planning in Mobile Augmented Reality.
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

2023
Graph Vulnerability and Robustness: A Survey.
IEEE Trans. Knowl. Data Eng., June, 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.
CoRR, 2023

REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes.
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

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.
CoRR, 2023

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks.
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

Energy Transformer.
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 Interspeech 2022, 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.
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.
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.
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 Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 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).
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).
J. Am. Medical Informatics Assoc., 2015

Understanding variations in pediatric asthma care processes in the emergency department using visual analytics.
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


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


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