Positions

Back-calculation of soil parameters from displacement-controlled cavity expansion under geostatic stress by FEM and machine learning. Fernando Patino-Ramirez, Zijie Jay Wang, Duen Horng Chau, Chloe Arson. Acta Geotechnica. 18, 1755–1768. 2023.

Graph Vulnerability and Robustness: A Survey. Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Rong, Duen Horng Chau. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022.

A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu. ACM Journal of Data and Information Quality (JDIQ). 14.3 (2022): 1-23.

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The Role of Interactive Visualization in Fostering Trust in AI. Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk. IEEE Computer Graphics and Applications 41, no. 6 (2021): 7-12.

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Detection of Emerging Drugs Involved in Overdose via Diachronic Word Embeddings of Substances Discussed on Social Media. Austin P. Wright, Christopher M. Jones, Duen Horng Chau, Robert M. Gladden, Steven A. Sumner. Journal of Biomedical Informatics (JBI), Volume 119, July 2021.

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NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau. IEEE Transactions on Visualization and Computer Graphics (Proc. VIS'21), 2022.

Invited to present at SIGGRAPH’22 as a top VIS'21 paper (1% of 442 submissions)

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RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng (Polo) Chau. Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue CSCW1, April 2021. Presented at The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) 2021.

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A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, Daniel Keim. Computer Graphics Forum (CGF), Vol. 40. No. 3. 2021. Presented at EuroVis'21.

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CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, and Duen Horng (Polo) Chau. IEEE Transactions on Visualization and Computer Graphics (Proc. VIS'20), 2021.

Went viral! 7900+ Github stars — top of Github Trending

The only VAST'20 paper invited to SIGGRAPH

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Towards De-Anonymization of Google Play Search Rank Fraud. Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar, Duen Horng (Polo) Chau. IEEE Transactions on Knowledge and Data Engineering (TKDE). Feb, 2020.

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YouTube
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Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng (Polo) Chau. IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'19). 2020.

Demo
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YouTube

GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. Minsuk Kahng, Nikhil Thorat, Duen Horng (Polo) Chau, Fernanda B. Viégas, and Martin Wattenberg. IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'18). 2019.

Went viral! Open sourced with Google AI

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Site
Blog

Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. Fred Hohman, Minsuk Kahng, Robert Pienta, Duen Horng Chau. IEEE Transactions on Visualization and Computer Graphics, 2018.

Chronodes: Interactive Multi-focus Exploration of Event Sequences. Peter J. Polack, Shang-Tse Chen, Minsuk Kahng, Kaya De Barbaro, Rahul Basole, Moushumi Sharmin, Duen Horng (Polo) Chau. ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Interactive Visual Analysis of Human and Crowd Behaviors. 2018.

ACM TiiS 2018 Best Paper, Honorable Mention

ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. Minsuk Kahng, Pierre Andrews, Aditya Kalro, Duen Horng (Polo) Chau. IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'17). Jan 2018. [21% acceptance rate]

Deployed on Facebook Machine Learning platform used by 25% engineers

Invited to present at SIGGRAPH 2018 as a top VAST'17 paper (4 total)

VIGOR: Interactive Visual Exploration of Graph Query Results. Robert Pienta, Fred Hohman, Alex Endert, Acar Tamersoy, Kevin Roundy, Chris Gates, Shamkant Navathe, Duen Horng (Polo) Chau. IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'17), Jan 2018. [21% acceptance rate]

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Search Rank Fraud and Malware Detection in Google Play. Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau. IEEE Transactions on Knowledge and Data Engineering (TKDE) 29(6), 1329. 2017

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Constraint based temporal event sequence mining for Glioblastoma survival prediction. Kunal Malhotra, Shamkant Navathe, Duen Horng Chau, Costas Hadjipanayis and Jimeng Sun. Journal of biomedical informatics, 16, 267-275. 2016

Center of excellence for mobile sensor Data-to-Knowledge (MD2K). Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al’Absi, J. Gayle Beck, Duen Horng Chau, Tyson Condie, David E. Conroy, Emre Ertin, Deborah Estrin, Deepak Ganesan, Cho Lam, Benjamin Marlin, Clay B. Marsh, Susan A. Murphy, Inbal Nahum-Shani, Kevin Patrick, James M. Rehg, Moushumi Sharmin, Vivek Shetty, Ida Sim, Bonnie Spring, Mani Srivastava and David W. Wetter. Journal of the American Medical Informatics Association (JAMIA) Jul 2015. DOI: 10.1093/jamia/ocv056

Node Immunization on Large Graphs: Theory and Algorithms. Chen, C. and Tong, H. and Prakash, B.A. and Tsourakakis, C. and Eliassi-Rad, T. and Faloutsos, C. and Chau, D.H. IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1), 113-126. 2015

To Catch a Fake: Curbing Deceptive Yelp Ratings and Venues. Mahmudur Rahman, Bogdan Carbunar, Jaime Ballesteros, Duen Horng (Polo) Chau. Statistical Analysis and Data Mining: The ASA Data Science Journal, 8(3), 147-161. 2015.

Understanding variations in pediatric asthma care processes in the emergency department using visual analytics. Rahul C. Basole, Mark L. Braunstein, Vikas Kumar, Hyunwoo Park, Minsuk Kahng, Duen Horng (Polo) Chau, Acar Tamersoy, Daniel A. Hirsh, Nicoleta Serban, James Bost, Burton Lesnick, Beth L. Schissel, Michael Thompson. Journal of the American Medical Informatics Association (JAMIA) 2015. DOI: 10.1093/jamia/ocu016

GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration. Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, Florian Foerster, Aakash Goel, John Stasko, and Duen Horng Chau. IEEE Transactions on Visualization and Computer Graphics, 20(12), 2320-2328. 2014.

SharkFin: Spatio-temporal mining of software adoption and penetration. Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng Chau, B. Aditya Prakash, Christos Faloutsos. Social Network Analysis and Mining (SNAM), 4(1), 1-15. 2014.

Large Scale Insider Trading Analysis: Patterns and Discoveries. Acar Tamersoy, Elias Khalil, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge. Duen Horng Chau, Shamkant B. Navathe. Social Network Analysis and Mining (SNAM), 4(1), 1-17. 2014.

Preprints

UniTable: Towards A Unified Framework For Table Structure Recognition Via Self-Supervised Pretraining. ShengYun Peng , Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau.

Conference

Code

Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars. Austin P. Wright, Scott Davidoff, Duen Horng Chau. KDD 2024.

Best Paper, Runner-up (Applied Data Science)

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Demo
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Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng, Austin Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng (Polo) Chau. IEEE VIS 2024.

Multi-User Mobile Augmented Reality for Cardiovascular Surgical Planning. Pratham Mehta, Rahul Narayanan, Harsha Karanth, Haoyang Yang, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau. IEEE VIS 2024.

Energy Transformer. Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov. NeurIPS 2023.

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. ShengYun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau. British Machine Vision Conference (BMVC) 2023.

Best Poster

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau. CIKM 2023.

VisGrader: Automatic Grading of D3 Visualizations. Matthew Hull, Vivan Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, Mahdi Roozbahani, Duen Horng (Polo) Chau . VIS 2023.

DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng (Polo) Chau. ACL, Jul 2023.

Best Paper, Honorable Mention

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ACM

GAM Coach: Towards Interactive and User-centered Algorithmic Recourse. Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, Duen Horng (Polo) Chau. CHI, Apr 2023.

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ACM

Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework. Austin P Wright, Peter Nemere, Adrian Galvin, Duen Horng Chau, Scott Davidoff. IUI, Mar 2023.

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IEEE

Explaining Website Reliability by Visualizing Hyperlink Connectivity. Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau. VIS, Oct 2022.

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. David Munechika, Zijie J. Wang, Jack Reidy, Josh Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau. VIS, Oct 2022.

TimberTrek: Exploring and Curating Trustworthy Decision Trees with Interactive Visualization. Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo Seltzer. VIS, Oct 2022.

Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana. KDD, Aug 2022.

Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. Nilaksh Das, Duen Horng Chau. Interspeech, Sep 2022.

MalNet: A Large-Scale Image Database of Malicious Software. Scott Freitas, Rahul Duggal, Duen Horng Chau. CIKM 2022.

Context-aware Traffic Flow Forecasting in New Roads. Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park. CIKM 2022.

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Listen, know and spell: Knowledge-infused subword modeling for improving ASR performance of out-of-vocabulary (OOV) named entities. Nilaksh Das, Monica Sunkara, Dhanush Bekal, Duen Horng Chau, Sravan Bodapati, Katrin Kirchhoff. ICASSP, 2022.

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A Search Engine for Discovery of Scientific Challenges and Directions. Dan Lahav, Jon Saad Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope. AAAI, 2022.

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Data
Code

A Large-Scale Database for Graph Representation Learning. Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng (Polo) Chau. Neural Information Processing Systems (NeurIPS), 2021.

Oral Presentation

Evaluating Graph Vulnerability and Robustness using TIGER. Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau. ACM International Conference on Information and Knowledge Management (CIKM), 2021.

Featured in Nvidia Data Science Toolkit

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HAR: Hardness Aware Reweighting for Imbalanced Datasets. Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun. IEEE BigData 2021.

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CUP: Cluster Pruning for Compressing Deep Neural Networks. Rahul Duggal, Cao Xiao, Richard Vuduc, Duen Horng Chau, Jimeng Sun. IEEE BigData 2021.

Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning. Nilaksh Das, Sravan Bodapati, Monica Sunkara, Sundararajan Srinivasan, Duen Horng Chau. Interspeech 2021.

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AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. Dong-Kyu Chae, Jihoo Kim , Duen Horng Chau, Sang-Wook Kim. ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2020.

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. Nilaksh Das*, Haekyu Park*, Zijie Jay Wang, Fred Hohman, Robert Firstman, Emily Rogers, and Duen Horng Chau. IEEE Visualization Conference (VIS) 2020. * Authors contributed equally.

How Does Visualization Help People Learn Deep Learning? Evaluating GAN Lab with Observational Study and Log Analysis. Minsuk Kahng, Duen Horng (Polo) Chau. IEEE Visualization Conference (VIS) 2020.

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Examining the Ordering of Rhetorical Strategies in Persuasive Requests. Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Polo Chau, and Diyi Yang. Findings of EMNLP (Conference on Empirical Methods in Natural Language Processing), 2020.

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Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau. Proceedings of the International Conference on Information and Knowledge Management (CIKM), 2020.

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GOGGLES: Automatic Image Labeling with Affinity Coding. Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Renzi Wu, Duen Horng Chau, Xu Chu. ACM SIGMOD 2020. Portland, Oregon. Jun 14-19, 2020.

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D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks. Scott Freitas, Andrew Wicker, Duen Horng Chau, Joshua Neil SIAM International Conference on Data Mining (SDM), 2020. Cincinnati, Ohio. May 7-9, 2020.

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REST: Robust and Efficient Neural Networksfor Sleep Monitoring in the Wild. Scott Freitas, Rahul Duggal, Jimeng Sun, Duen Horng Chau. The Web Conference (WWW), 2020. Taipei, Taiwan. Apr 20-24, 2020.

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Blog
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Talk

FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning. Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng (Polo) Chau IEEE Conference on Visual Analytics Science and Technology (VAST), 2019. Vancouver, Canada. Oct 2019.

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ElectroLens: Understanding Atomistic Simulations through Spatially-resolved Visualization of High-dimensional Features. Xiangyun Lei, Fred Hohman, Duen Horng (Polo) Chau, Andrew Medford. IEEE Visualization Conference (VIS), 2019. Vancouver, Canada. Oct 20-25, 2019.

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YouTube

Atlas: Local Graph Exploration in a Global Context. Fred Hohman, James Abello, Varun Bezzam, Duen Horng (Polo) Chau. ACM Conference on Intelligent User Interfaces (IUI) 2019. Los Angeles, CA. Mar 16-20, 2019.

Local Partition in Rich Graphs. Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Chau, and Hanghang Tong. BigData 2018. Dec 10-13, 2018. Seattle, WA, USA.

Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure. Alok Tripathy, Fred Hohman, Duen Horng Chau, and Oded Green. BigData 2018. Dec 10-13, 2018. Seattle, WA, USA.

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Press

ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector. Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng (Polo) Chau. PKDD 2018. Sept 10–14, 2018. Dublin, Ireland.

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arXiv
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YouTube

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2018. London, UK. Aug 19-23, 2018.

Won Audience Appreciation Award, Runner-up

Search Rank Fraud De-Anonymization in Online Systems. Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar and Duen Horng Chau. ACM Conference on Hypertext and Social Media (HT'18).

Approximate Query Matching for Graph-Based Holistic Image Retrieval. Abhijit Suprem, Duen Horng Chau, Calton Pu. IEEE International Conference on Big Data (BigData) 2018. Seattle, Washington. December 10-13, 2018.

Predicting Cyber Threats with Virtual Security Products. Shang-Tse Chen, Yufei Han, Duen Horng (Polo) Chau, Christopher Gates, Michael Hart, Kevin A. Roundy. Annual Computer Security Applications Conference (ACSAC) 2017.

Analysis of Smoking and Drinking Relapse in an Online Community. Acar Tamersoy, Munmun De Choudhury, Duen Horng Chau. 7th International conference on Digital Health 2017. July 2-5, 2017. London.

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Presentation
Citation

Facets: Adaptive Local Exploration of Large Graphs. Robert Pienta, Minsuk (Brian) Kahng, Zhiyuan Lin, Jilles Vreeken, Partha Talukdar, James Abello, Ganesh Parameswaran, Duen Horng (Polo) Chau. SIAM International Conference on Data Mining (SDM) 2017. April 27-29, 2017. Houston, Texas.

Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. Michael Madaio, Shang-Tse Chen, Oliver Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng (Polo) Chau, Bistra Dilkina. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2016. San Francisco, CA. Aug 13-17, 2016.

Won Best Student Paper award, runner up.

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Citation

[ETable] Interactive Browsing and Navigation in Relational Databases. Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng (Polo) Chau. VLDB 2016. New Delhi, India. Sept 5-9, 2016.

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M-Flash Fast Billion-scale Graph Computation Using a Bimodal Block Processing Model. Hugo Gualdron, Robson Cordeiro, Jose Rodrigues, Duen Horng (Polo) Chau, Minsuk Kahng, U Kang. PKDD 2016. Sept 19–23, 2016. Riva del Garda, Italy.

VISAGE: Interactive Visual Graph Querying. Robert Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng (Polo) Chau International Working Conference on Advanced Visual Interfaces (AVI 2016). June 7-10, 2016. Bari, Italy.

FairPlay: Fraud and Malware Detection in Google Play. Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau. SIAM International Conference on Data Mining (SDM) 2016. May 5-7, 2016. Miami, Florida.

Communication Efficient Distributed Agnostic Boosting. Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau. 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016). May 9-11, 2016. Cadiz, Spain.

What's Hot in Intelligent User Interfaces 2015 . Shimei Pan, Oliver Brdiczka, Giuseppe Carenini, Duen Horng Chau, Per Ola Kristensson. 13th AAAI Conference on Artificial Intelligence (AAAI) 2016. Feb 12–17, 2016. Phoenix, Arizona, USA.

Invited

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Characterizing Smoking and Drinking Abstinence from Social Media. Acar Tamersoy, Munmun De Choudhury and Duen Horng Chau. Proceedings of ACM Conference on Hypertext and Social Media (HT). September 1-5, 2015.

explICU: A Web-based Visualization and Predictive Modeling Toolkit for Mortality in Intensive Care Patients. Robert Chen, Vikas Kumar, Natalie Fitch, Jitesh Jagadish, Lifan Zhang, William Dunn, Duen Horng Chau. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Milano, Italy, August 25-29, 2015.

Identifying and Prioritizing Fire Inspections: A Case Study of Predicting Fire Risk in Atlanta. Michael Madaio, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Bistra Dilkina, Duen Horng (Polo) Chau. Bloomberg Data for Good Exchange 2015.

Aurigo: an Interactive Tour Planner for Personalized Itineraries. Alexandre Yahi, Antoine Chassang, Louis Raynaud, Hugo Duthil, Duen Horng (Polo) Chau. ACM Conference on Intelligent User Interfaces (IUI). Atlanta, GA, USA. March 29 - April 1, 2015.

Scalable Graph Exploration and Visualization: Sensemaking Challenges and Opportunities. Robert Pienta, James Abello, Minsuk Kahng, Duen Horng Chau. International Conference on Big Data and Smart Computing (BigComp). Jeju Island, Korea. February 9-12, 2015.

Invited

MMap: Fast Billion-Scale Graph Computation on a PC via Memory Mapping. Zhiyuan Lin, Minsuk Kahng, Kaeser Md. Sabrin, Duen Horng Chau, Ho Lee, and U Kang. Proceedings of IEEE BigData 2014 conference. Oct 27-30, Washington DC, USA.

MAGE: Matching Approximate Patterns in Richly-Attributed Graphs. Robert Pienta, Acar Tamersoy, Hanghang Tong, and Duen Horng Chau. Proceedings of IEEE BigData 2014 conference. Oct 27-30, Washington DC, USA.

[AESOP] Guilt by Association: Large Scale Malware Detection by Mining File-relation Graphs Acar Tamersoy, Kevin Roundy, Duen Horng (Polo) Chau. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2014. New York City, NY, USA. Aug 24-27, 2014.

Turning the Tide: Curbing Deceptive Yelp Behaviors. Mahmudur Rahman, Bogdan Carbunar, Jaime Ballesteros, George Burri, Duen Horng (Polo) Chau. Proceedings of SIAM International Conference on Data Mining (SDM) 2014. April 24-26, 2014. Philadelphia, PA, USA.

Won Best Student Paper award.

"Best of SDM 2014" paper. Invited to Statistical Analysis and Data Mining (SAM) Journal.

LatentGesture: Active User Authentication Through Background Touch Analysis. Premkumar Saravana, Samuel Clarke, Duen Horng Chau, Hongyuan Zha. The Second International Symposium of Chinese CHI (Chinese CHI 2014). Apr 26-27, 2014. Toronto, Canada.

Featured in popular press: Wired, engadget, gizmodo, Yahoo!, business chronicle, GT press release, and many more...

Detecting Insider Threats in a Real Corporate Database of Computer Usage Activity. Ted E. Senator, Henry G. Goldberg, Alex Memory, William Y. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Gree, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay-Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel Corkill, Lisa Friedland, Amanda Gentzel, David Jensen. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2013. Chicago, Illinois, USA. Aug 11-14, 2013.

Inside Insider Trading: Patterns & Discoveries from a Large Scale Exploratory Analysis. Acar Tamersoy, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge. Duen Horng Chau, Shamkant B. Navathe. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2013. Niagara Falls, Canada. August 25-28, 2013.

Invited to Social Network Analysis and Mining journal (SNAM).

Spatio-temporal Mining of Software Adoption & Penetration. Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng (Polo) Chau, B. Aditya Prakash, Christos Faloutsos. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2013. Niagara Falls, Canada. August 25-28, 2013.

Invited to Social Network Analysis and Mining journal (SNAM).

Inference-assisted Choosing by Advantages. John Haymaker, Duen Horng Chau, Bo Xie. 21th Conference of the International Group for Lean Construction (IGLC). Fortaleza, Brazil. Jul 29 - Aug 2, 2013.

Mining Connection Pathways for Marked Nodes in Large Graphs. Leman Akoglu, Jilles Vreeken, Hanghang Tong, Duen Horng Chau, Nikolaj Tatti, and Christos Faloutsos. Proceedings of SIAM International Conference on Data Mining (SDM) 2013. May 2-4, 2013. Austin, Texas. [25% accept]

PEGASUS: Mining Billion-Scale Graphs in the Cloud. U Kang, Duen Horng Chau, and Christos Faloutsos. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2012. Mar 25-30, 2012. Kyoto, Japan

Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. Danai Koutra, Tai-You Ke, U Kang, Duen Horng (Polo) Chau, Hsing-Kuo Kenneth Pao, and Christos Faloutsos. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (PKDD) 2011. Sept 5-9, 2011. Athens, Greece. [20% acceptance rate]

Mining Large Graphs: Algorithms, Inference, and Discoveries. U Kang, Duen Horng (Polo) Chau, Christos Faloutsos. IEEE International Conference of Data Engineering (ICDE) 2011. April 11-16. Hannover, Germany. [20% acceptance rate]

Apolo: Making Sense of Large Network Data by Combining Rich User Interaction and Machine Learning. Duen Horng (Polo) Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos. ACM Conference on Human Factors in Computing Systems (CHI) 2011. May 7-12, 2011. Vancouver, BC, Canada. [26% acceptance rate]

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Polonium: Tera-Scale Graph Mining and Inference for Malware Detection. Duen Horng (Polo) Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos. Proceedings of SIAM International Conference on Data Mining (SDM) 2011. April 28-30, 2011. Mesa, Arizona. [25% acceptance rate]

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Code

On the Vulnerability of Large Graphs. Hanghang Tong, B. Aditya Prakash, Charalampos Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng (Polo) Chau. IEEE International Conference on Data Mining (ICDM) 2010. Dec 14-17, 2010. Sydney, Australia. [19% acceptance rate]

What to Do When Search Fails: Finding Information by Association. Duen Horng (Polo) Chau, Brad Myers, and Andrew Faulring. ACM Conference on Human Factors in Computing Systems (CHI) 2008. April 5-10, 2008. Florence, Italy. New York: ACM Press, Pages 999-1008. [22% acceptance rate]

The eBay Graph: How Do Online Auction Users Interact? Yordanos Beyene, Michalis Faloutsos, Duen Horng (Polo) Chau, Christos Faloutsos. Computer Communications Workshops, 2008. INFOCOM. April 13-18, 2008. Phoenix, AZ.

NetProbe: A Fast and Scalable System for Fraud Detection in Online Auction Networks. Shashank Pandit, Duen Horng (Polo) Chau, Samuel Wang, Christos Faloutsos. International Conference on World Wide Web (WWW) 2007. May 8-12, 2007. Banff, Alberta, Canada. Pages 201-210. [15% acceptance rate]

Eyes on the Road, Hands on the Wheel: Thumb-based Interaction Techniques for Input on Steering Wheels. Ivan E. Gonzalez, Jacob O. Wobbrock, Duen Horng (Polo) Chau, Andrew Faulring, Brad A. Myers. Graphics Interface (GI) 2007. May 28-30, 2007. Montreal, Quebec, Canada. Pages 95-102. [48% acceptance rate]

Demonstrating the Viability of Automatically Generated User Interfaces. Jeffrey Nichols, Duen Horng (Polo) Chau, Brad A. Myers. ACM Conference on Human Factors in Computing Systems (CHI) 2007. April 28-May 3, 2007. San Jose, CA. Pages 1283-1292. [25% acceptance rate]

An Alternative to Push, Press, and Tap-tap-tap: Gesturing on an Isometric Joystick for Mobile Phone Text Entry. Jacob O. Wobbrock, Duen Horng (Polo) Chau and Brad A. Myers. ACM Conference on Human Factors in Computing Systems (CHI) 2007. April 28-May 3, 2007. San Jose, CA. Pages 667-676. [25% acceptance rate]

Huddle: Automatically Generating Interfaces for Systems of Multiple Connected Appliances. Jeffrey Nichols, Brandon Rothrock, Duen Horng (Polo) Chau, Brad A. Myers. ACM Symposium on User Interface Software and Technology (UIST) 2006. October 15-18, 2006. Montreux, Switzerland. Pages 279-288. [23% acceptance rate]

In-stroke Word Completion. Jacob O. Wobbrock, Brad A. Myers, and Duen Horng (Polo) Chau. ACM Symposium on User Interface Software and Technology (UIST) 2006. October 15-18, 2006. Montreux, Switzerland. Pages 333-336. [23% acceptance rate]

Detecting Fraudulent Personalities in Networks of Online Auctioneers. Duen Horng (Polo) Chau, Shashank Pandit, and Christos Faloutsos. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (PKDD) 2006. Sept 18-22, 2006. Berlin, Germany. Pages 103-114. [15% acceptance rate]

Best Presentation Award, 3rd place

A Linguistic Analysis of How People Describe Software Problems. Andrew J. Ko, Brad A. Myers, and Duen Horng (Polo) Chau. Proceedings of VL/HCC 2006. September 4-8, 2006, Brighton, UK. Pages 127-134. [28% acceptance rate]

Answering Why and Why Not Questions in User Interfaces. Brad Myers, David A. Weitzman, Andrew J. Ko, and Duen Horng (Polo) Chau. ACM Conference on Human Factors in Computing Systems (CHI) 2006. April 22-27, 2006. Montreal, Canada. Pages 397-406. [23% acceptance rate]

Book Chapters

Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities. Peter J Polack Jr, Moushumi Sharmin, Kaya de Barbaro, Minsuk Kahng, Shang-Tse Chen, and Duen Horng Chau. Mobile Health: Sensors, Analytic Methods, and Applications. Springer. 2017.

Case study on fraud detection using social-network analysis. Duen Horng (Polo) Chau and Christos Faloutsos. Encyclopedia of Social Network Analysis and Mining. Springer. 2014.

Edited Volumes

Catching Bad Guys with Graph Mining. Polo Chau. Crossroads: The ACM Magazine for Students - The Fate of Money. Volume 17 Issue 3, Spring 2011. Pages 16-18.

Workshop

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ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing. Alec Helbling, Seongmin Lee, Duen Horng Chau CVPR 2024 Workshop on AI for Content Creation Workshop.

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Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models. Justin Blalock, David Munechika, Harsha Karanth, Alec Helbling, Pratham Mehta, Seongmin Lee, Duen Horng Chau. CVPR 24 Workshop on Virtual Try-On.

Self-Supervised Pre-Training For Table Structure Recognition Transformer. ShengYun Peng , Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau Association for the Advancement of Artificial Intelligence (AAAI) SDU Workshop 2024

High-Performance Transformers For Table Structure Recognition Need Early Convolutions. ShengYun Peng , Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau NeurIPS 2023 Workshop on Table Representation Learning (TRL).

ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning. Alec Helbling, Evan Montoya, Duen Horng (Polo) Chau. NeurIPS 2023 Workshop on ML for Creativity and Design.

Energy Transformer. Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J Zaki, Dmitry Krotov. NeurIPS 2023 Workshop on Associative Memory & Hopfield Networks (AMHN).

Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau. NeurIPS 2023 Workshop on Associative Memory & Hopfield Networks (AMHN).

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng (Polo) Chau. ICML 2023 Workshop on AI & HCI.

A Universal Abstraction for Hierarchical Hopfield Networks. Benjamin Hoover, Duen Horng (Polo) Chau, Hendrik Strobelt, Dmitry Krotov. The Symbiosis of Deep Learning and Differential Equations (DLDE) workshop, NeurIPS 2022.

Spotlight presentation

SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau. Adversarial Robustness in the Real World (AROW) Workshop, ECCV 2022.

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GAM Changer: Editing Generalized Additive Models with Interactive Visualizations. Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng (Polo) Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana. NeurIPS 2021 Workshop on Bridging the Gap: From Machine Learning Research to Clinical Practice (Research2Clinics).

Best Paper Award

A Comparative Analysis of Industry Human-AI Interaction Guidelines. Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel Keim, Duen Horng (Polo) Chau. IEEE VIS 2020 Workshop on Trust and Expertise in Visual Analytics (TREX).

Toward a Bias-Aware Future for Mixed-Initiative Visual Analytics. Adam Coscia, Duen Horng (Polo) Chau, Alex Endert. IEEE VIS 2020 Workshop on Trust and Expertise in Visual Analytics (TREX).

Visual Analytics for Interpretability on Deep Neural Networks. Haekyu Park, Fred Hohman, Nilaksh Das, Caleb Robinson, Duen Horng Chau. NeurIPS Workshop on Women in Machine Learning (WiML), 2019. Vancouver, Canada. Dec 9, 2019.

How Does Visualization Help People Learn Deep Learning? Evaluation of GAN Lab. Minsuk Kahng, Duen Horng (Polo) Chau. IEEE VIS 2019 Workshop on Evaluation of Interactive Visual Machine Learning Systems (EVIVA-ML). Vancouver, Canada. Oct 21, 2019.

Extracting Knowledge For Adversarial Detection and Defense in Deep Learning. Scott Freitas, Shang-Tse Chen, Duen Horng (Polo) Chau. KDD 2019 Workshop on Learning and Mining for Cybersecurity (LEMINCS). Anchorage, Alaska. Aug 5, 2019.

The Efficacy of SHIELD under Different Threat Models. Cory Cornelius, Nilaksh Das, Shang-Tse Chen, Li Chen, Michael Kounavis, Duen Horng (Polo) Chau. KDD 2019 Workshop on Learning and Mining for Cybersecurity (LEMINCS). Anchorage, Alaska. Aug 5, 2019.

Discovery of Intersectional Bias in Machine Learning Using Automatic Subgroup Generation. Ángel Alexander Cabrera, Minsuk Kahng, Fred Hohman, Jamie Morgenstern, Duen Horng (Polo) Chau. ICLR 2019 Workshop on Debugging Machine Learning Models Workshop Debug-ML). New Orleans, LA. May 6, 2019.

Towards the Realistic Evaluation of Evasion Attacks using CARLA. Cory Cornelius, Shang-tse Chen, Jason Martin, Duen Horng (Polo) Chau. The 2nd DSN Workshop on Dependable and Secure Machine Learning (DSN-DSML'19).

Defense against Adversarial Attacks using JPEG Compression. Nilaksh Das, Mahduri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael. E. Kounavis, Duen Horng (Polo) Chau. NIPS Workshop on Women in Machine Learning (WiML), 2017.

Designing a Visual Analytics System for Industry-Scale Deep Neural Network Models. Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng (Polo) Chau. IEEE VIS'17 Workshop on Visual Analytics for Deep Learning.

Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. Paras Jain, Chirag Tailor, Sam Ford, Liexiao Ding, Michael Phillips, Fang Liu, Nagi Gebraeel, Duen Horng Chau. The 3rd IEEE International Workshop on High-Performance Big Data Computing (HPBDC, at IPDPS 2017). May 29, 2017. Orlando, Florida.

[MLCube] Visual Exploration of Machine Learning Results using Data Cube Analysis. Minsuk Kahng, Dezhi Fang, Duen Horng (Polo) Chau. SIGMOD 2016 Workshop on Human-In-the-Loop Data Analytics (HILDA). Jun 26, 2016. San Francisco, USA.

Building a Research Data Science Platform from Industrial Machines. Fang (Cherry) Liu, Fu Shen, Duen Horng Chau, Neil Bright and Mehmet Belgin. IEEE Big Data 2016 Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH). Dec 5-8, 2016. Washington D.C.

Building a Data Science Platform from Scratch. Fang (Cherry) Liu, Fu Shen, Duen Horng (Polo) Chau, Paras Jain. Women in HPC Workshop at Super Computing (SC) 2016. Nov 13, 2016. Salt Lake City, USA.

ISPARK: Interactive Visual Analytics for Fire Incidents and Station Placement. Subhajit Das, Andrea McCarter, Joe Minieri, Nandita Damaraju, Sriram Padmanabhan and Duen Horng Chau. KDD 2015 Workshop on Interactive Data Exploration and Analytics (IDEA) Aug 10, 2015. Sydney, Australia.

A Visual Analytics Approach to Understanding Care Process Variation and Conformance. Rahul C. Basole, Hyunwoo Park, Mayank Gupta, Mark L. Braunstein, Polo Chau, Michael Thompson, Vikas Kumar, Robert Pienta, Minsuk Kahng. 2015 Workshop on Visual Analytics in Healthcare. Oct 25, 2015. Chicago IL, USA.

Towards Scalable Graph Computation on Mobile Devices. Yiqi Chen, Zhiyuan Lin, Robert Pienta, Minsuk Kahng, Duen Horng (Polo) Chau. IEEE BigData 2014 Workshop on Scalable Machine Learning: Theory and Applications. Oct 27, 2014. Washington DC, USA.

Bicentric Visualization of Pediatric Asthma Care Process Activities. Rahul C. Basole, Hyunwoo Park, Vikas Kumar, Mark L. Braunstein, James Bost, Duen Horng (Polo) Chau, Minsuk Kahng. IEEE VIS 2014 Workshop on Visualizing Electronic Health Record Data (EHRVis). Nov 9, 2014. Paris, France.

Exploring Clinical Care Processes Using Visual and Data Analytics: Challenges and Opportunities. Vikas Kumar, Hyunwoo Park, Rahul C. Basole, Mark Braunstein, Minsuk Kahng, Duen Horng Chau, Acar Tamersoy, Daniel A. Hirsh, Nicoleta Serban, James Bost, Burton Lesnick, Beth Schissel, Michael Thompson. ACM KDD'14 Data Mining for Social Good Workshop. Aug 24, 2014, New York City, NY.

Temporal Event Sequence Mining for Glioblastoma Survival Prediction. Kunal Malhotra, Duen Horng (Polo) Chau, Jimeng Sun, Costas Hadjipanayis, Shamkant B. Navathe. KDD 2014 Workshop on Health Informatics (HI-KDD 2014). Aug 24, 2014. New York City, NY. USA.

Leveraging Memory Mapping for Fast and Scalable Graph Computation on a PC. Zhiyuan (Jerry) Lin, Duen Horng (Polo) Chau, U Kang. IEEE BigData'13 Scalable Machine Learning: Theory and Applications. Oct 6, Santa Clara, CA.

Exploring Large Scale Insider Trading Data: Network Patterns & Discoveries. Acar Tamersoy, Bo Xie, Stephen Lenkey, Bryan R. Routledge, Duen Horng (Polo) Chau, Shamkant B. Navathe. Workshop on Information in Networks (WIN 2013). Oct 4-5, New York, NY.

Scalable, Minimalist Graph Computation on a PC via Memory Mapping. Zhiyuan (Jerry) Lin, Duen Horng (Polo) Chau, U Kang. Workshop on Information in Networks (WIN 2013). Oct 4-5, New York, NY.

Augmenting MATLAB with Semantic Objects for an Interactive Visual Environment. Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park. KDD 2013 Workshop on Interactive Data Exploration and Analytics (IDEA 2013). Aug 11, 2013. Chicago, Illinois.

Polonium: Tera-Scale Graph Mining for Malware Detection. Duen Horng (Polo) Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos. The 2nd Workshop on Large-scale Data Mining: Theory and Applications (LDMTA 2010). July 25, 2010. Washington, DC.
IBM Student Travel Fellowship

Inference of Beliefs on Billion-Scale Graphs. U Kang, Duen Horng (Polo) Chau, Christos Faloutsos. The 2nd Workshop on Large-scale Data Mining: Theory and Applications (LDMTA 2010). July 25-28, 2010. Washington, DC.

Supporting Ad Hoc Sensemaking: Integrating Cognitive, HCI, and Data Mining Approaches. Aniket Kittur, Duen Horng (Polo) Chau, Christos Faloutsos, Jason I. Hong. Sensemaking Workshop at CHI 2009. April 4-5, 2009. Boston, MA.

Feldspar: A System for Finding Information by Association. Duen Horng (Polo) Chau, Brad Myers, and Andrew Faulring. PIM 2008: CHI 2008 Workshop on Personal Information Management. April 5-6, 2008. Florence, Italy.

Fraud Detection in Electronic Auction. Duen Horng (Polo) Chau and Christos Faloutsos. Proceedings of EWMF'05: European Web Mining Forum, at ECML/PKDD'05. October 3-7, 2005. Porto, Portugal.

Tiny Papers (ICLR)

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. Mansi Phute, Alec Helbling, Matthew Daniel Hull, ShengYun Peng, Sebastian Szyller, Cory Cornelius, Duen Horng (Polo) Chau. ICLR 2024 Tiny Paper.

Adopted by ADP, the leading company in human capital management (HCM) solutions, for content moderation

Revamp: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes. Matthew Daniel Hull, Zijie J. Wang, Duen Horng Chau. ICLR 2024 Tiny Paper.

Poster Papers

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Transformer Explainer: Interactive Learning of Text-Generative Models. Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng Chau. Poster, IEEE VIS 2024.

Went viral on X (5000+ "likes"), LinkedIn (1500+ reactions), HuggingFace (#1 paper of the day)!

750+ GitHub stars

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LLM Attributor: Interactive Visual Attribution for LLM Generation. Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, ShengYun Peng, Mansi Phute, Duen Horng Chau, Minsuk Kahng. Poster, IEEE VIS 2024.

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SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks. Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau. Extended Abstracts, CHI 2024.

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ARCollab: Towards Multi-User Interactive Cardiovascular Surgical Planning in Mobile Augmented Reality. Pratham Darrpan Mehta, Harsha Karanth, Haoyang Yang, Timothy C Slesnick, Fawwaz Shaw, Duen Horng Chau. Extended Abstracts, CHI 2024.

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ManimML: Communicating Machine Learning Architectures with Animation. Alec Helbling, Duen Horng Chau. Poster, IEEE VIS 2023.

IEEE VIS 2023 Best Poster

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TrafficBoard: Digital Spatio-Temporal Pinboard for Human Trafficking Detection. Catalina Vajiac, Duen Horng Chau, Andreas Olligschlaeger, Pratheeksha Nair, Meng-Chieh Lee, Mirela Cazzolato, Reihaneh Rabbany, Cara Jones, Christos Faloutsos. Poster, IEEE VIS 2023.

NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics. Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau. Poster, IEEE VIS 2022.

Evaluation of Argo Scholar with Observational Study. Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau. Poster, IEEE VIS 2022.

NeuroMapper: In-browser Visualizer for Neural Network Training. Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P Wright, Nilaksh Das, Duen Horng Chau. Poster, IEEE VIS 2022.

Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality. Haoyang Yang, Pratham Darrpan Mehta, Jonathan Leo, Zhiyan Zhou, Megan Dass, Anish Upadhayay, Timothy C Slesnick, Fawwaz Shaw, Amanda Randles, Duen Horng Chau. Poster, IEEE VIS 2022.

VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany. Poster, WWW 2022.

MisVis: Explaining Web Misinformation Connections via Visual Summary. Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2022.

Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on Google Play. Ashwin Singh, Arvindh Arun, Pulak Malhotra, Pooja Desur, Ayushi Jain, Duen Horng Chau, Ponnurangam Kumaraguru. Extended Abstract, ACM Hypertext 2022.

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Towards Automatic Grading of D3.js Visualizations. Matthew Hull, Connor Guerin, Justin Lu Chen, Susanta Kumar Routray, Duen Horng Chau. Poster Abstract. IEEE VIS 2021.

IEEE VIS 2021 Best Poster

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Argo Scholar: Interactive Visual Exploration of Literature in Browsers. Kevin Li, Haoyang Yang, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau. Poster Abstract. IEEE VIS 2021.

IEEE VIS 2021 Best Poster, Honorable Mention

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Poster

TrafficVis: Visualizing Suspicious Meta-Clusters for Human Trafficking Detection. Catalina Vajiac, Andreas Olligschlaeger, Yifei Li, Pratheeksha Nair, Meng-Chieh Lee, Namyong Park, Reihaneh Rabbany, Duen Horng Chau, Christos Faloutsos. Poster Abstract. IEEE VIS 2021.

IEEE VIS 2021 Best Poster, Honorable Mention

Interactive Cardiovascular Surgical Planning via Augmented Reality. Jonathan Leo, Zhiyan Zhou, Haoyang Yang, Anish Upadhayay, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau. Asian CHI Symposium 2021.

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EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2021.

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Mapping Researchers with PeopleMap. Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng (Polo) Chau. Poster Abstract, IEEE VIS 2020.

IEEE VIS 2020 Best Poster Research Award, Honorable Mention (VAST track)

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CNN 101: Interactive Visual Learning for Convolutional Neural Networks. Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2020. Apr 25-30, Honolulu, Hawaii, USA.

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Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2020. Apr 25-30, Honolulu, Hawaii, USA.

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ACM

Mixed Reality for Learning Programming. Joonyoung Kim, Sudeep Agarwal, Kristina Marotta, Siwei Li, Jonathan Leo, Duen Horng Chau. Proceedings of the 18th ACM International Conference on Interaction Design and Children (IDC), 2019. Boise, ID. Jun 12-15, 2019.

Won Best Work-in-Progress, Honorable Mention

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NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. Haekyu Park, Fred Hohman, Duen Horng (Polo) Chau. IEEE Pacific Visualization Symposium (PacificVis) 2019. Bangkok, Thailand. Apr 23-26, 2019.

Augmenting Coding: AugmentedReality for Learning Programming. Nathan Dass, Joonyoung Kim, Sam Ford, Sudeep Agarwal, Duen Horng Chau. The Sixth International Symposium of Chinese CHI (Chinese CHI 2018). Apr 21-22, 2018. Montreal, Canada.

Won Best Poster Award

3D Exploration of Graph Layers via Vertex Cloning. James Abello, Fred Hohman, Duen Horng (Polo) Chau. Poster Abstract, IEEE VIS 2017.

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Atomic Operations for Specifying Graph Visualization Techniques. Charles D. Stolper, Will Price, Matt Sanford, Duen Horng (Polo) Chau, John Stasko. Poster Abstract, IEEE VIS 2017.

ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation. Fred Hohman, Nathan Hodas, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2017 May 6-11, 2017. Denver, CO, USA.

Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies. Dezhi (Andy) Fang, Mahew Keezer, Jacob Williams, Kshitij Kulkarni, Robert Pienta, Duen Horng (Polo) Chau. 26th International World Wide Web Conference (WWW) 2017 Companion. April 3-7, 2017. Perth, Australia.

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Making Sense of Graph Query Results: Interactive Summarization and Exploration. Robert Pienta, Alex Endert, Shamkant Navathe, Duen Horng Chau. Poster Abstract, IEEE VIS 2016. Oct 23 - 28, 2016. Baltimore, Maryland, USA.

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NaturalMotion: Exploring Gesture Controls for Visualizing Time-Evolving Graphs. Samuel Clarke, Nathan Dass, Duen Horng Chau. Poster Abstract, IEEE VIS 2016. Oct 23 - 28, 2016. Baltimore, Maryland, USA.

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arXiv

M3: Scaling Up Machine Learning via Memory Mapping. Dezhi Fang, Duen Horng (Polo) Chau. SIGMOD/PODS’16.

Generating Graph Snapshots from Streaming Edge Data. Sucheta Soundarajan, Acar Tamersoy, Elias Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher and Kevin Roundy 25th International World Wide Web Conference 2016. Apr 11-15, 2016. Montreal, Canada

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Poster

STEPS: A Spatio-temporal Electric Power Systems Visualization. Robert Pienta, Leilei Xiong, Santiago Grijalva, Duen Horng Chau, Minsuk Kahng. ACM Conference on Intelligent User Interfaces (IUI). March 7-10, 2016. Sonoma, GA, USA.

Effort-based Detection of Comment Spammers. Acar Tamersoy, Hua Ouyang and Duen Horng Chau 36th IEEE Symposium on Security and Privacy 2015. May 18-20, 2015. San Jose, CA, USA.

Spotting Suspicious Reviews via (Quasi-)clique Extraction. Paras Jain, Shang-Tse Chen, Mozhgan Azimpourkivi, Duen Horng Chau and Bogdan Carbunar 36th IEEE Symposium on Security and Privacy 2015. May 18-20, 2015. San Jose, CA, USA.

TimeStitch: Interactive Multi-focus Cohort Discovery and Comparison. Peter J. Polack, Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng (Polo) Chau. Poster Abstract, IEEE VIS 2015. Oct 25 - 30, 2015. Chicago, IL, USA.

AdaptiveNav: Adaptive Discovery of Interesting and Surprising Nodes in Large Graphs. Robert Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng (Polo) Chau. Poster Abstract, IEEE VIS 2015. Oct 25 - 30, 2015. Chicago, IL, USA.

Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design. Robert Pienta, Acar Tamersoy, Hanghang Tong, Alex Endert, Duen Horng (Polo) Chau. ACM Conference on Intelligent User Interfaces (IUI). Atlanta, GA, USA. March 29 - April 1, 2015.

Identifying Successful Investors in the Startup Ecosystem. Srishti Gupta, Robert Pienta, Acar Tamersoy, Duen Horng Chau, Rahul C. Basole. International Conference on World Wide Web (WWW) 2015, May 18 -22, 2015. Florence, Italy

GLOs: Graph-Level Operations for Exploratory Network Visualization. Charles D. Stolper, Florian Foerster, Minsuk Kahng, Zhiyuan Lin, Aakash Goel, John Stasko, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2014. Apr 26 - May 1, 2014. Toronto, Canada.

Interactive Multi-resolution Exploration of Million Node Graphs. Zhiyuan (Jerry) Lin, Duen Horng (Polo) Chau. Poster Abstract, IEEE VIS 2013 Oct 13 - 18, 2013. Atlanta, GA, USA.

Fast Interactive Visualization for Multivariate Data Exploration. Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2013 Apr 27- May 2, 2013. Paris, France.

TopicViz: Semantic Navigation of Document Collections. Jacob Eisenstein, Duen Horng (Polo) Chau, Aniket Kittur, Eric P. Xing. Extended Abstracts, CHI 2012. May 5-10, 2012. Austin, TX, USA.

Parallel Crawling for Online Social Networks. Duen Horng (Polo) Chau, Shashank Pandit, Samuel Wang, and Christos Faloutsos. International Conference on World Wide Web (WWW) 2007. May 8-12, 2007. Banff, Alberta, Canada. Pages 201-210.

Integrating Isometric Joysticks into Mobile Phones for Text Entry. Duen Horng (Polo) Chau, Jacob O. Wobbrock, Brad A. Myers, Brandon Rothrock. Extended Abstracts, CHI 2006. April 22-27, 2006. Montreal, Canada. Pages 640-645.

Demos

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Wordflow: Social Prompt Engineering for Large Language Models. Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau. Demo, ACL 2024.

Demo

MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation. Zijie J. Wang, Duen Horng Chau. Demo, SIGIR 2024.

Best Short Paper, Honorable Mention

WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. Zijie J. Wang, Fred Hohman, Duen Horng Chau. Demo, ACL 2023.

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion Seongmin Lee, Ben Hoover, Hendrik Strobelt, Zijie J. Wang, Anthony Peng, Austin Wright, Kevin Li, Haekyu Park, Alex Yang, Polo Chau. Demo, CVPR 2023.

WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. Zijie J. Wang, Duen Horng (Polo) Chau. Demo, WWW 2023.

DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors. Sivapriya Vellaichamy, Matthew Hull, Zijie Jay Wang, Nilaksh Das, ShengYun Peng, Haekyu Park, Duen Horng Polo Chau. Demo, CVPR 2022.

VisCUIT: Visual Auditor for Bias in CNN Image Classifier. Seongmin Lee, Zijie J. Wang, Judy Hoffman, Duen Horng (Polo) Chau. Demo, CVPR 2022.

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ACM

Visual Exploration of Literature with Argo Scholar. Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon and Duen Horng Chau. Demo, CIKM 2022.

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Dodrio: Exploring Transformer Models with Interactive Visualization. Zijie J. Wang, Robert Turko, Duen Horng Chau. Demo, ACL 2021

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SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau. Demo, AAAI 2021.

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MLsploit: A Framework for Interactive Experimentation with Adversarial Machine Learning Research. Nilaksh Das, Siwei Li, Chanil Jeon, Jinho Jung, Shang-Tse Chen, Carter Yagemann, Evan Downing, Haekyu Park, Evan Yang, Li Chen, Michael Kounavis, Ravi Sahita, David Durham, Scott Buck, Duen Horng Chau, Taesoo Kim, Wenke Lee. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2019 Project Showcase. Ankorage, Alaska. Aug 4-8, 2019.

Abstract

MLsploit: A Cloud-Based Framework for Adversarial Machine Learning Research. Nilaksh Das, Siwei Li, Chanil Jeon, Jinho Jung, Shang-Tse Chen, Carter Yagemann, Evan Downing, Haekyu Park, Evan Yang, Li Chen, Michael Kounavis, Ravi Sahita, David Durham, Scott Buck, Polo Chau, Taesoo Kim, Wenke Lee. Black Hat Asia - Arsenal, 2019. Singapore. Mar 26-29, 2019.

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ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng (Polo) Chau. European Conference on Machine Learning & Principles & Practice of Knowledge Discovery in Databases (ECML-PKDD), 2018. Dublin, Ireland. Sep 10-14, 2018.

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Compression to the Rescue: Defending from Adversarial Attacks Across Modalities. Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E Kounavis, Duen Horng Chau. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2018 Project Showcase. London, United Kingdom. Aug 19-23, 2018.

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YouTube
Code

Interactive Classification for Deep Learning Interpretation. Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng (Polo) Chau. Demo, Conference on Computer Vision and Pattern Recognition (CVPR). June 18, 2018. Salt Lake City, USA.

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YouTube Poster

mHealth Visual Discovery Dashboard. Dezhi Fang, Fred Hohman, Peter Polack, Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng (Polo) Chau. Demo, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP) Sept 11-15, 2017. Maui, USA.

Visual Graph Query Construction and Refinement. Robert Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant Navathe, Hanghang Tong, Duen Horng Chau. SIGMOD 2017. May 14-19, 2017. Chicago, IL, USA.

Best Demo, Honorable Mention

Demonstrating Interactive Multi-resolution Large Graph Exploration. Zhiyuan (Jerry) Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, and Duen Horng (Polo) Chau. ICDM 2013. Dec 7 - 10, 2013. Dallas, Texas, USA.

Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, and Haesun Park. ICDM 2013. Dec 7 - 10, 2013. Dallas, Texas, USA.

Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. Duen Horng (Polo) Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos. ASONAM 2012. Aug, 2012. Istanbul, Turkey

TourViz: Interactive Visualization of Connection Pathways in Large Graphs. Duen Horng (Polo) Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos. KDD 2012. Aug, 2012. Beijing, China

Large Graph Mining System for Patterns, Anomalies & Visualization. Leman Akoglu, Duen Horng (Polo) Chau, U Kang, Danai Koutra, Christos Faloutsos. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2012. May 29-Jun 1, 2012. Kuala Lumpur, Malaysia

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Poster

OPAvion: Mining and visualization in large graphs. Leman Akoglu, Duen Horng (Polo) Chau, U Kang, Danai Koutra, Christos Faloutsos. ACM SIGMOD Conference 2012. May 20-24, 2012. Scottsdale, Arizona, USA

Apolo: Interactive Large Graph Sensemaking by Combining Machine Learning and Visualization. Duen Horng (Polo) Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2011. Aug 21-21, 2011. San Diego, California, USA.

SHIFTR: A Fast and Scalable System for Ad Hoc Sensemaking of Large Graphs. Duen Horng (Polo) Chau, Aniket Kittur, Christos Faloutsos, Hanghang Tong, Jason I. Hong. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2009. June 28-July 1, 2009. Paris, France.