Duen Horng Chau

259 papers A* 38A 18B 5Misc 3Journal 134Unranked 58

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features. ICML Alec Helbling, Tuna Han Salih Meral, Benjamin Hoover, Pinar Yanardag, Duen Horng Chau
2025	J	`jnl`	ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features. CoRR Alec Helbling, Tuna Han Salih Meral, Benjamin Hoover, Pinar Yanardag, Duen Horng Chau
2025	J	`jnl`	Diffusion Explorer: Interactive Exploration of Diffusion Models. CoRR Alec Helbling, Duen Horng Chau
2025	J	`jnl`	HybridCollab: Unifying In-Person and Remote Collaboration for Cardiovascular Surgical Planning in Mobile Augmented Reality. CoRR Pratham Darrpan Mehta, Rahul O. Narayanan, Vidhi Kulkarni, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau
2025	A*	`conf`	Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety. EMNLP Seongmin Lee, Aeree Cho, Grace C. Kim, Shengyun Peng, Mansi Phute, Duen Horng Chau
2025	J	`jnl`	Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety. CoRR Seongmin Lee, Aeree Cho, Grace C. Kim, Shengyun Peng, Mansi Phute, Duen Horng Chau
2025	J	`jnl`	Large Reasoning Models Learn Better Alignment from Flawed Thinking. CoRR Shengyun Peng, Eric Smith, Ivan Evtimov, Song Jiang, Pin-Yu Chen, Hongyuan Zhan, Haozhu Wang, Duen Horng Chau, Mahesh Pasupuleti, Jianfeng Chi
2025	J	`jnl`	LitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking. CoRR Haoyang Yang, Elliott H. Faa, Weijian Liu, Shunan Guo, Duen Horng Chau, Yalong Yang
2025	J	`jnl`	Litforager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking. IEEE Trans. Vis. Comput. Graph. Haoyang Yang, Elliott H. Faa, Weijian Liu, Shunan Guo, Duen Horng Chau, Yalong Yang
2025	—	`conf`	Managing Project Teams in an Online Class of 1000+ Students. SIGCSE (2) Nazanin Alsadat Tabatabaei Anaraki, Taneisha Ng, Gaurav Verma, Yu Fu, Martin O'Connell, Matthew Hull, Susanta Routray, Max Mahdi Roozbahani, Duen Horng Chau
2025	A*	`conf`	RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering. IJCAI Matthew Hull, Haoran Wang, Matthew Lau, Alec Helbling, Mansi Phute, Chao Zhang, Zsolt Kira, Willian T. Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau
2025	J	`jnl`	Shape it Up! Restoring LLM Safety during Finetuning. CoRR Shengyun Peng, Pin-Yu Chen, Jianfeng Chi, Seongmin Lee, Duen Horng Chau
2025	J	`jnl`	UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks. CoRR Mansi Phute, Matthew Hull, Haoran Wang, Alec Helbling, Shengyun Peng, Willian T. Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau
2024	—	`conf`	ARCollab: Towards Multi-User Interactive Cardiovascular Surgical Planning in Mobile Augmented Reality. CHI Extended Abstracts Pratham Darrpan Mehta, Harsha Karanth, Haoyang Yang, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau
2024	J	`jnl`	ARCollab: Towards Multi-User Interactive Cardiovascular Surgical Planning in Mobile Augmented Reality. CoRR Pratham Darrpan Mehta, Harsha Karanth, Haoyang Yang, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau
2024	J	`jnl`	Adversarial Attacks Using Differentiable Rendering: A Survey. CoRR Matthew Hull, Chao Zhang, Zsolt Kira, Duen Horng Chau
2024	J	`jnl`	An Interrogative Survey of Explainable AI in Manufacturing. IEEE Trans. Ind. Informatics Zoe Alexander, Duen Horng Chau, Christopher Saldaña
2024	A*	`conf`	Dense Associative Memory Through the Lens of Random Features. NeurIPS Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov
2024	J	`jnl`	Dense Associative Memory Through the Lens of Random Features. CoRR Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov
2024	J	`jnl`	Effective Guidance for Model Attention with Simple Yes-no Annotations. CoRR Seongmin Lee, Ali Payani, Duen Horng Chau
2024	A*	`conf`	Interactive Visual Learning for Stable Diffusion. IJCAI Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
2024	J	`jnl`	LLM Attributor: Interactive Visual Attribution for LLM Generation. CoRR Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng Chau, Minsuk Kahng
2024	—	`conf`	LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. Tiny Papers @ ICLR Mansi Phute, Alec Helbling, Matthew Hull, Shengyun Peng, Sebastian Szyller, Cory Cornelius, Duen Horng Chau
2024	J	`jnl`	Managing Project Teams in an Online Class of 1000+ Students. CoRR Nazanin Alsadat Tabatabaei Anaraki, Taneisha Ng, Gaurav Verma, Yu Fu, Martin O'Connell, Matthew Hull, Susanta Routray, Max Mahdi Roozbahani, Duen Horng Chau
2024	A*	`conf`	MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation. SIGIR Zijie J. Wang, Duen Horng Chau
2024	J	`jnl`	MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation. CoRR Zijie J. Wang, Duen Horng Chau
2024	J	`jnl`	Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models. CoRR Justin Blalock, David Munechika, Harsha Karanth, Alec Helbling, Pratham Darrpan Mehta, Seongmin Lee, Duen Horng Chau
2024	A	`conf`	Multi-User Mobile Augmented Reality for Cardiovascular Surgical Planning. IEEE VIS Pratham Darrpan Mehta, Rahul O. Narayanan, Harsha Karanth, Haoyang Yang, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau
2024	J	`jnl`	Multi-User Mobile Augmented Reality for Cardiovascular Surgical Planning. CoRR Pratham Darrpan Mehta, Rahul O. Narayanan, Harsha Karanth, Haoyang Yang, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau
2024	A*	`conf`	Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models. NeurIPS Shengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau
2024	J	`jnl`	Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models. CoRR Shengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau
2024	A*	`conf`	Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars. KDD Austin P. Wright, Scott Davidoff, Duen Horng Chau
2024	J	`jnl`	Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars. CoRR Austin P. Wright, Scott Davidoff, Duen Horng Chau
2024	—	`conf`	Revamp: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes. Tiny Papers @ ICLR Matthew Hull, Zijie J. Wang, Duen Horng Chau
2024	J	`jnl`	Self-Supervised Pre-Training for Table Structure Recognition Transformer. CoRR Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau
2024	A*	`conf`	Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors. NeurIPS Anisha Pal, Julia Kruk, Mansi Phute, Manognya Bhattaram, Diyi Yang, Duen Horng Chau, Judy Hoffman
2024	J	`jnl`	Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors. CoRR Anisha Pal, Julia Kruk, Mansi Phute, Manognya Bhattaram, Diyi Yang, Duen Horng Chau, Judy Hoffman
2024	—	`conf`	SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks. CHI Extended Abstracts Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau
2024	A*	`conf`	T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking. AAAI Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany
2024	J	`jnl`	Transformer Explainer: Interactive Learning of Text-Generative Models. CoRR Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng Chau
2024	J	`jnl`	UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining. CoRR Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau
2024	J	`jnl`	VG: Automatic Grading of D3 Visualizations. IEEE Trans. Vis. Comput. Graph. Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, Max Mahdi Roozbahani, Duen Horng Chau
2024	—	`conf`	Wordflow: Social Prompt Engineering for Large Language Models. ACL (3) Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau
2024	J	`jnl`	Wordflow: Social Prompt Engineering for Large Language Models. CoRR Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau
2023	A	`conf`	Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
2023	J	`jnl`	Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. CoRR Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
2023	—	`conf`	DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. ACL (1) Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
2023	A*	`conf`	Energy Transformer. NeurIPS Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
2023	J	`jnl`	Energy Transformer. CoRR Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
2023	A*	`conf`	Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract). AAAI Kevin Li, Rahul Duggal, Duen Horng Chau
2023	A*	`conf`	GAM Coach: Towards Interactive and User-centered Algorithmic Recourse. CHI Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, Duen Horng Chau
2023	J	`jnl`	GAM Coach: Towards Interactive and User-centered Algorithmic Recourse. CoRR Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, Duen Horng Chau
2023	J	`jnl`	Graph Vulnerability and Robustness: A Survey. IEEE Trans. Knowl. Data Eng. Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau
2023	J	`jnl`	High-Performance Transformers for Table Structure Recognition Need Early Convolutions. CoRR Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau
2023	J	`jnl`	LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. CoRR Alec Helbling, Mansi Phute, Matthew Hull, Duen Horng Chau
2023	A	`conf`	Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework. IUI Austin P. Wright, Peter Nemere, Adrian Galvin, Duen Horng Chau, Scott Davidoff
2023	J	`jnl`	Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework. CoRR Austin P. Wright, Peter Nemere, Adrian Galvin, Duen Horng Chau, Scott Davidoff
2023	J	`jnl`	ManimML: Communicating Machine Learning Architectures with Animation. CoRR Alec Helbling, Duen Horng Chau
2023	J	`jnl`	Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau
2023	J	`jnl`	ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning. CoRR Alec Helbling, Evan Montoya, Duen Horng Chau
2023	J	`jnl`	REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes. CoRR Matthew Hull, Zijie J. Wang, Duen Horng Chau
2023	J	`jnl`	RobArch: Designing Robust Architectures against Adversarial Attacks. CoRR Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin
2023	A	`conf`	Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. BMVC Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau
2023	J	`jnl`	Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. CoRR Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau
2023	J	`jnl`	SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks. CoRR Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau
2023	A*	`conf`	TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. AAAI Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos
2023	J	`jnl`	TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. IEEE Trans. Vis. Comput. Graph. Catalina Vajiac, Duen Horng Chau, Andreas M. Olligschlaeger, Rebecca Mackenzie, Pratheeksha Nair, Meng-Chieh Lee, Yifei Li, Namyong Park, Reihaneh Rabbany, Christos Faloutsos
2023	J	`jnl`	VisGrader: Automatic Grading of D3 Visualizations. CoRR Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, Max Mahdi Roozbahani, Duen Horng Chau
2023	—	`conf`	WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. WWW (Companion Volume) Zijie J. Wang, Duen Horng Chau
2023	J	`jnl`	WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. CoRR Zijie J. Wang, Duen Horng Chau
2023	—	`conf`	WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. ACL (demo) Zijie J. Wang, Fred Hohman, Duen Horng Chau
2023	J	`jnl`	WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. CoRR Zijie J. Wang, Fred Hohman, Duen Horng Chau
2022	J	`jnl`	A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. ACM J. Data Inf. Qual. Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2022	A*	`conf`	A Search Engine for Discovery of Scientific Challenges and Directions. AAAI 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
2022	J	`jnl`	ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
2022	A	`conf`	Context-aware Traffic Flow Forecasting in New Roads. CIKM Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park
2022	J	`jnl`	DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. CoRR Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
2022	—	`conf`	Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on Google Play. HT Ashwin Singh, Arvindh Arun, Pulak Malhotra, Pooja Desur, Ayushi Jain, Duen Horng Chau, Ponnurangam Kumaraguru
2022	J	`jnl`	Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on the Google Play Store. CoRR Ashwin Singh, Arvindh A, Ayushi Jain, Pooja Desur, Pulak Malhotra, Duen Horng Chau, Ponnurangam Kumaraguru
2022	J	`jnl`	Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality. CoRR Haoyang Yang, Pratham Darrpan Mehta, Jonathan Leo, Zhiyan Zhou, Megan Dass, Anish Upadhayay, Timothy C. Slesnick, Fawwaz Shaw, Amanda Randles, Duen Horng Chau
2022	J	`jnl`	Evaluation of Argo Scholar with Observational Study. CoRR Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau
2022	—	`conf`	Explaining Website Reliability by Visualizing Hyperlink Connectivity. IEEE VIS (Short Papers) Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehqal, Ankit Peshin, Duen Horng Chau
2022	J	`jnl`	Explaining Website Reliability by Visualizing Hyperlink Connectivity. CoRR Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau
2022	J	`jnl`	Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. CoRR Nilaksh Das, Duen Horng Chau
2022	J	`jnl`	IMB-NAS: Neural Architecture Search for Imbalanced Datasets. CoRR Rahul Duggal, Shengyun Peng, Hao Zhou, Duen Horng Chau
2022	A*	`conf`	Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. KDD Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
2022	J	`jnl`	Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. CoRR Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
2022	Misc	`conf`	Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities. ICASSP Nilaksh Das, Duen Horng Chau, Monica Sunkara, Sravan Bodapati, Dhanush Bekal, Katrin Kirchhoff
2022	A	`conf`	MalNet: A Large-Scale Image Database of Malicious Software. CIKM Scott Freitas, Rahul Duggal, Duen Horng Chau
2022	—	`conf`	MisVis: Explaining Web Misinformation Connections via Visual Summary. CHI Extended Abstracts Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau
2022	J	`jnl`	NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics. CoRR Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau
2022	J	`jnl`	NeuroMapper: In-browser Visualizer for Neural Network Training. CoRR Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P. Wright, Nilaksh Das, Duen Horng Chau
2022	—	`conf`	SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. ECCV Workshops (1) Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau
2022	J	`jnl`	SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. CoRR Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau
2022	—	`conf`	TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. IEEE VIS (Short Papers) Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer
2022	J	`jnl`	TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. CoRR Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer
2022	A*	`conf`	VIsCUIT: Visual Auditor for Bias in CNN Image Classifier. CVPR Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau
2022	J	`jnl`	VisCUIT: Visual Auditor for Bias in CNN Image Classifier. CoRR Seongmin Lee, Zijie J. Wang, Judy Hoffman, Duen Horng Chau
2022	—	`conf`	VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. WWW (Companion Volume) Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany
2022	—	`conf`	Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. IEEE VIS (Short Papers) David Munechika, Zijie J. Wang, Jack Reidy, Joshua Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau
2022	J	`jnl`	Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. CoRR David Munechika, Zijie J. Wang, Jack Reidy, Joshua Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau
2022	A	`conf`	Visual Exploration of Literature with Argo Scholar. CIKM Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau
2021	—	`conf`	A Large-Scale Database for Graph Representation Learning. NeurIPS Datasets and Benchmarks Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau
2021	J	`jnl`	A Search Engine for Discovery of Biomedical Challenges and Directions. CoRR 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
2021	J	`jnl`	A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. Comput. Graph. Forum Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, Daniel A. Keim
2021	J	`jnl`	Argo Scholar: Interactive Visual Exploration of Literature in Browsers. CoRR Kevin Li, Haoyang Yang, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau
2021	A	`conf`	Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning. Interspeech Nilaksh Das, Sravan Bodapati, Monica Sunkara, Sundararajan Srinivasan, Duen Horng Chau
2021	—	`conf`	CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
2021	J	`jnl`	Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media. J. Biomed. Informatics Austin P. Wright, Christopher M. Jones, Duen Horng Chau, R. Matthew Gladden, Steven A. Sumner
2021	—	`conf`	Dodrio: Exploring Transformer Models with Interactive Visualization. ACL (demo) Zijie J. Wang, Robert Turko, Duen Horng Chau
2021	J	`jnl`	Dodrio: Exploring Transformer Models with Interactive Visualization. CoRR Zijie J. Wang, Robert Turko, Duen Horng Chau
2021	—	`conf`	EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CHI Extended Abstracts Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
2021	J	`jnl`	EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CoRR Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
2021	A	`conf`	Evaluating Graph Vulnerability and Robustness using TIGER. CIKM Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau
2021	J	`jnl`	GAM Changer: Editing Generalized Additive Models with Interactive Visualization. CoRR Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
2021	J	`jnl`	Graph Vulnerability and Robustness: A Survey. CoRR Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau
2021	—	`conf`	HAR: Hardness Aware Reweighting for Imbalanced Datasets. IEEE BigData Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
2021	—	`conf`	Interactive Cardiovascular Surgical Planning via Augmented Reality. AsianCHI@CHI Jonathan Leo, Zhiyan Zhou, Haoyang Yang, Megan Dass, Anish Upadhayay, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau
2021	J	`jnl`	MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. CoRR Scott Freitas, Rahul Duggal, Duen Horng Chau
2021	J	`jnl`	NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau
2021	J	`jnl`	Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes. CoRR Austin P. Wright, Caleb Ziems, Haekyu Park, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang, Maria Tomprou
2021	J	`jnl`	RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. CoRR Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang
2021	A*	`conf`	SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. AAAI Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
2021	J	`jnl`	SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. CoRR Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
2021	J	`jnl`	The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. 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, Theresa-Marie Rhyne
2021	J	`jnl`	Towards Automatic Grading of D3.js Visualizations. CoRR Matthew Hull, Connor Guerin, Justin Chen, Susanta Routray, Duen Horng Chau
2021	J	`jnl`	Towards De-Anonymization of Google Play Search Rank Fraud. IEEE Trans. Knowl. Data Eng. Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar, Duen Horng Chau
2020	J	`jnl`	A Comparative Analysis of Industry Human-AI Interaction Guidelines. CoRR Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau
2020	J	`jnl`	A Large-Scale Database for Graph Representation Learning. CoRR Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau
2020	A*	`conf`	AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. SIGIR Dong-Kyu Chae, Jihoo Kim, Duen Horng Chau, Sang-Wook Kim
2020	A	`conf`	Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. CIKM Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
2020	J	`jnl`	Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. CoRR Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
2020	J	`jnl`	Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. CoRR Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020	—	`conf`	CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CHI Extended Abstracts Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020	J	`jnl`	CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CoRR Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020	J	`jnl`	CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. CoRR Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020	J	`jnl`	D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks. CoRR Scott Freitas, Andrew Wicker, Duen Horng Chau, Joshua Neil
2020	J	`jnl`	ELF: An Early-Exiting Framework for Long-Tailed Classification. CoRR Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
2020	J	`jnl`	Evaluating Graph Vulnerability and Robustness using TIGER. CoRR Scott Freitas, Duen Horng Chau
2020	J	`jnl`	Examining the Ordering of Rhetorical Strategies in Persuasive Requests. CoRR Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang
2020	—	`conf`	GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2020	J	`jnl`	Mapping Researchers with PeopleMap. CoRR Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau
2020	—	`conf`	Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CHI Extended Abstracts Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020	J	`jnl`	Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CoRR Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020	J	`jnl`	PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing. CoRR Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau
2020	—	`conf`	RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CCHI Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau
2020	J	`jnl`	RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CoRR Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau
2020	A*	`conf`	REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. WWW Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
2020	J	`jnl`	REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. CoRR Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
2020	J	`jnl`	Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations. CoRR Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Duen Horng Chau, Alex Endert, Daniel A. Keim
2020	J	`jnl`	Toward a Bias-Aware Future for Mixed-Initiative Visual Analytics. CoRR Adam Coscia, Duen Horng Chau, Alex Endert
2020	—	`conf`	UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. IEEE BigData Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau
2020	J	`jnl`	UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. CoRR Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau
2019	A	`conf`	Atlas: local graph exploration in a global context. IUI James Abello, Fred Hohman, Varun Bezzam, Duen Horng Chau
2019	J	`jnl`	ElectroLens: Understanding Atomistic Simulations Through Spatially-resolved Visualization of High-dimensional Features. CoRR Xiangyun Lei, Fred Hohman, Duen Horng Chau, Andrew J. Medford
2019	—	`conf`	FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. VAST Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
2019	J	`jnl`	FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning. CoRR Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
2019	J	`jnl`	GOGGLES: Automatic Training Data Generation with Affinity Coding. CoRR Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2019	Misc	`conf`	Mixed Reality for Learning Programming. IDC Joonyoung Kim, Kristina Marotta, Jonathan Leo, Sudeep Agarwal, Siwei Li, Duen Horng Chau
2019	J	`jnl`	NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. CoRR Haekyu Park, Fred Hohman, Duen Horng Chau
2019	J	`jnl`	Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. CoRR Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau
2019	J	`jnl`	Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA. CoRR Cory Cornelius, Shang-Tse Chen, Jason Martin, Duen Horng Chau
2019	J	`jnl`	Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. IEEE Trans. Vis. Comput. Graph. Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau
2018	—	`conf`	ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. ECML/PKDD (3) Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018	J	`jnl`	ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. CoRR Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018	—	`conf`	Approximate Query Matching for Graph-Based Holistic Image Retrieval. BigData Congress Abhijit Suprem, Duen Horng Chau, Calton Pu
2018	—	`conf`	Building Big Data Processing and Visualization Pipeline through Apache Zeppelin. PEARC Yanzhe Cheng, Fang (Cherry) Liu, Shan Jing, Weijia Xu, Duen Horng Chau
2018	J	`jnl`	Chronodes: Interactive Multifocus Exploration of Event Sequences. ACM Trans. Interact. Intell. Syst. Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Rahul C. Basole, Moushumi Sharmin, Duen Horng Chau
2018	—	`ch.`	Fraud Detection Using Social Network Analysis: A Case Study. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Duen Horng Chau, Christos Faloutsos
2018	J	`jnl`	GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. CoRR Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda B. Viégas, Martin Wattenberg
2018	J	`jnl`	Interactive Classification for Deep Learning Interpretation. CoRR Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
2018	J	`jnl`	Large Graph Exploration via Subgraph Discovery and Decomposition. CoRR James Abello, Fred Hohman, Varun Bezzam, Duen Horng Chau
2018	J	`jnl`	Robust Physical Adversarial Attack on Faster R-CNN Object Detector. CoRR Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng Chau
2018	A*	`conf`	SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. KDD Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018	—	`conf`	Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure. IEEE BigData Alok Tripathy, Fred Hohman, Duen Horng Chau, Oded Green
2018	—	`conf`	Search Rank Fraud De-Anonymization in Online Systems. HT Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar, Duen Horng Chau
2018	J	`jnl`	Search Rank Fraud De-Anonymization in Online Systems. CoRR Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar, Duen Horng Chau
2018	J	`jnl`	Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. CoRR Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018	J	`jnl`	VIGOR: Interactive Visual Exploration of Graph Query Results. IEEE Trans. Vis. Comput. Graph. Robert S. Pienta, Fred Hohman, Alex Endert, Acar Tamersoy, Kevin A. Roundy, Christopher S. Gates, Shamkant B. Navathe, Duen Horng Chau
2018	J	`jnl`	Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. CoRR Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau
2017	J	`jnl`	ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. CoRR Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng Chau
2017	—	`conf`	Analysis of Smoking and Drinking Relapse in an Online Community. DH Acar Tamersoy, Duen Horng Chau, Munmun De Choudhury
2017	—	`conf`	Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies. WWW (Companion Volume) Dezhi Fang, Matthew Keezer, Jacob Williams, Kshitij Kulkarni, Robert S. Pienta, Duen Horng Chau
2017	J	`jnl`	Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies. CoRR Dezhi Fang, Matthew Keezer, Jacob Williams, Kshitij Kulkarni, Robert S. Pienta, Duen Horng Chau
2017	J	`jnl`	Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K). IEEE Pervasive Comput. Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, Duen Horng Chau, Emre Ertin, Deborah Estrin, Deepak Ganesan, Timothy Hnat, Syed Monowar Hossain, Zachary G. Ives, Jacqueline Kerr, Benjamin M. Marlin, Susan A. Murphy, James M. Rehg, Inbal Nahum-Shani, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter
2017	—	`ch.`	Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities. Mobile Health - Sensors, Analytic Methods, and Applications Peter J. Polack Jr., Moushumi Sharmin, Kaya de Barbaro, Minsuk Kahng, Shang-Tse Chen, Duen Horng Chau
2017	A	`conf`	FACETS: Adaptive Local Exploration of Large Graphs. SDM Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
2017	J	`jnl`	FairPlay: Fraud and Malware Detection in Google Play. CoRR Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau
2017	J	`jnl`	Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression. CoRR Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau
2017	A	`conf`	Predicting Cyber Threats with Virtual Security Products. ACSAC Shang-Tse Chen, Yufei Han, Duen Horng Chau, Christopher S. Gates, Michael Hart, Kevin A. Roundy
2017	—	`conf`	Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. IPDPS Workshops Paras Jain, Chirag Tailor, Sam Ford, Liexiao Ding, Michael Phillips, Fang (Cherry) Liu, Nagi Gebraeel, Duen Horng Chau
2017	J	`jnl`	Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. CoRR Paras Jain, Chirag Tailor, Sam Ford, Liexiao Ding, Michael Phillips, Fang (Cherry) Liu, Nagi Gebraeel, Duen Horng Chau
2017	J	`jnl`	Search Rank Fraud and Malware Detection in Google Play. IEEE Trans. Knowl. Data Eng. Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau
2017	—	`conf`	ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation. CHI Extended Abstracts Fred Hohman, Nathan O. Hodas, Duen Horng Chau
2017	—	`conf`	Visual Graph Query Construction and Refinement. SIGMOD Conference Robert S. Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau
2017	—	`conf`	mHealth visual discovery dashboard. UbiComp/ISWC Adjunct Dezhi Fang, Fred Hohman, Peter J. Polack Jr., Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng Chau
2016	—	`conf`	Building a research data science platform from industrial machines. IEEE BigData Fang (Cherry) Liu, Fu Shen, Duen Horng Chau, Neil Bright, Mehmet Belgin
2016	J	`jnl`	Chronodes: Interactive Multi-focus Exploration of Event Sequences. CoRR Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Moushumi Sharmin, Rahul C. Basole, Duen Horng Chau
2016	A	`conf`	Communication Efficient Distributed Agnostic Boosting. AISTATS Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau
2016	J	`jnl`	Constraint based temporal event sequence mining for Glioblastoma survival prediction. J. Biomed. Informatics Kunal Malhotra, Shamkant B. Navathe, Duen Horng Chau, Costas Hadjipanayis, Jimeng Sun
2016	A	`conf`	FairPlay: Fraud and Malware Detection in Google Play. SDM Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau
2016	A*	`conf`	Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. KDD Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina
2016	J	`jnl`	Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. CoRR Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina
2016	—	`conf`	Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy
2016	J	`jnl`	Interactive Browsing and Navigation in Relational Databases. CoRR Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng Chau
2016	—	`conf`	M3: Scaling Up Machine Learning via Memory Mapping. SIGMOD Conference Dezhi Fang, Duen Horng Chau
2016	J	`jnl`	M3: Scaling Up Machine Learning via Memory Mapping. CoRR Dezhi Fang, Duen Horng Chau
2016	J	`jnl`	Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
2016	B	`conf`	VISAGE: Interactive Visual Graph Querying. AVI Robert S. Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau
2016	A*	`conf`	What's Hot in Intelligent User Interfaces. AAAI Shimei Pan, Oliver Brdiczka, Giuseppe Carenini, Duen Horng Chau, Per Ola Kristensson
2015	—	`conf`	A visual analytics approach to understanding care process variation and conformance. VAHC Rahul C. Basole, Hyunwoo Park, Mayank Gupta, Mark L. Braunstein, Duen Horng Chau, Michael Thompson
2015	J	`jnl`	Center of excellence for mobile sensor data-to-knowledge (MD2K). J. Am. Medical Informatics Assoc. 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 M. Marlin, Clay B. Marsh, Susan A. Murphy, Inbal Nahum-Shani, Kevin Patrick, James M. Rehg, Moushumi Sharmin, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter
2015	—	`conf`	Characterizing Smoking and Drinking Abstinence from Social Media. HT Acar Tamersoy, Munmun De Choudhury, Duen Horng Chau
2015	J	`jnl`	Communication Efficient Distributed Agnostic Boosting. CoRR Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau
2015	—	`conf`	Identifying Successful Investors in the Startup Ecosystem. WWW (Companion Volume) Srishti Gupta, Robert S. Pienta, Acar Tamersoy, Duen Horng Chau, Rahul C. Basole
2015	J	`jnl`	M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model. CoRR Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng Chau, Minsuk Kahng, U Kang
2015	—	`conf`	Scalable graph exploration and visualization: Sensemaking challenges and opportunities. BigComp Robert S. Pienta, James Abello, Minsuk Kahng, Duen Horng Chau
2015	J	`jnl`	Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs. CoRR Robert S. Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
2015	J	`jnl`	Spotting Suspicious Reviews via (Quasi-)clique Extraction. CoRR Paras Jain, Shang-Tse Chen, Mozhgan Azimpourkivi, Duen Horng Chau, Bogdan Carbunar
2015	—	`conf`	TimeStitch: Interactive multi-focus cohort discovery and comparison. VAST Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau
2015	—	`conf`	explICU: A web-based visualization and predictive modeling toolkit for mortality in intensive care patients. EMBC Robert Chen, Vikas Kumar, Natalie Fitch, Jitesh Jagadish, Lifan Zhang, William Dunn, Duen Horng Chau
2014	A	`conf`	Big graph mining for the web and social media: algorithms, anomaly detection, and applications. WSDM U Kang, Leman Akoglu, Duen Horng Chau
2014	J	`jnl`	GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration. IEEE Trans. Vis. Comput. Graph. Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, Florian Foerster, Aakash Goel, John T. Stasko, Duen Horng Chau
2014	—	`conf`	GLOs: graph-level operations for exploratory network visualization. CHI Extended Abstracts Charles D. Stolper, Florian Foerster, Minsuk Kahng, Zhiyuan Lin, Aakash Goel, John T. Stasko, Duen Horng Chau
2014	A*	`conf`	Guilt by association: large scale malware detection by mining file-relation graphs. KDD Acar Tamersoy, Kevin A. Roundy, Duen Horng Chau
2014	J	`jnl`	Large-scale insider trading analysis: patterns and discoveries. Soc. Netw. Anal. Min. Acar Tamersoy, Elias B. Khalil, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge, Duen Horng Chau, Shamkant B. Navathe
2014	—	`conf`	MAGE: Matching approximate patterns in richly-attributed graphs. IEEE BigData Robert S. Pienta, Acar Tamersoy, Hanghang Tong, Duen Horng Chau
2014	J	`jnl`	SharkFin: Spatio-temporal mining of software adoption and penetration. Soc. Netw. Anal. Min. Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng Chau, B. Aditya Prakash, Christos Faloutsos
2014	—	`conf`	Towards scalable graph computation on mobile devices. IEEE BigData Yiqi Chen, Zhiyuan Lin, Robert S. Pienta, Minsuk Kahng, Duen Horng Chau
2013	A*	`conf`	Detecting insider threats in a real corporate database of computer usage activity. KDD Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, 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 D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen
2013	B	`conf`	Inside insider trading: patterns & discoveries from a large scale exploratory analysis. ASONAM Acar Tamersoy, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge, Duen Horng Chau, Shamkant B. Navathe
2013	A	`conf`	Mining Connection Pathways for Marked Nodes in Large Graphs. SDM Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken
2013	—	`ed.`	Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, IDEA@KDD 2013, Chicago, Illinois, USA, August 11, 2013 IDEA@KDD Duen Horng Chau, Jilles Vreeken, Matthijs van Leeuwen, Christos Faloutsos
2012	B	`conf`	Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. ASONAM Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos
2012	—	`conf`	OPAvion: mining and visualization in large graphs. SIGMOD Conference Leman Akoglu, Duen Horng Chau, U Kang, Danai Koutra, Christos Faloutsos
2012	Misc	`conf`	Pegasus: Mining billion-scale graphs in the cloud. ICASSP U Kang, Duen Horng Chau, Christos Faloutsos
2012	—	`conf`	TopicViz: interactive topic exploration in document collections. CHI Extended Abstracts Jacob Eisenstein, Duen Horng Chau, Aniket Kittur, Eric P. Xing
2012	A*	`conf`	TourViz: interactive visualization of connection pathways in large graphs. KDD Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos
2011	A*	`conf`	Apolo: interactive large graph sensemaking by combining machine learning and visualization. KDD Duen Horng Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos
2011	A*	`conf`	Apolo: making sense of large network data by combining rich user interaction and machine learning. CHI Duen Horng Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos
2011	A	`conf`	Large Scale Graph Mining and Inference for Malware Detection. SDM Duen Horng Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos
2011	A*	`conf`	Mining large graphs: Algorithms, inference, and discoveries. ICDE U Kang, Duen Horng Chau, Christos Faloutsos
2011	J	`jnl`	TopicScape: Semantic Navigation of Document Collections CoRR Jacob Eisenstein, Duen Horng Chau, Aniket Kittur, Eric P. Xing
2011	—	`conf`	Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. ECML/PKDD (2) Danai Koutra, Tai-You Ke, U Kang, Duen Horng Chau, Hsing-Kuo Kenneth Pao, Christos Faloutsos
2010	A*	`conf`	On the Vulnerability of Large Graphs. ICDM Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
2009	—	`conf`	SHIFTR: a user-directed, link-based system for ad hoc sensemaking of large heterogeneous data collections. CHI Extended Abstracts Duen Horng Chau, Aniket Kittur, Christos Faloutsos, Jason I. Hong
2008	—	`conf`	GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad
2008	A*	`conf`	What to do when search fails: finding information by association. CHI Duen Horng Chau, Brad A. Myers, Andrew Faulring
2007	A*	`conf`	An alternative to push, press, and tap-tap-tap: gesturing on an isometric joystick for mobile phone text entry. CHI Jacob O. Wobbrock, Duen Horng Chau, Brad A. Myers
2007	A*	`conf`	Demonstrating the viability of automatically generated user interfaces. CHI Jeffrey Nichols, Duen Horng Chau, Brad A. Myers
2007	B	`conf`	Eyes on the road, hands on the wheel: thumb-based interaction techniques for input on steering wheels. Graphics Interface Iván E. González, Jacob O. Wobbrock, Duen Horng Chau, Andrew Faulring, Brad A. Myers
2007	A*	`conf`	Netprobe: a fast and scalable system for fraud detection in online auction networks. WWW Shashank Pandit, Duen Horng Chau, Samuel Wang, Christos Faloutsos
2007	A*	`conf`	Parallel crawling for online social networks. WWW Duen Horng Chau, Shashank Pandit, Samuel Wang, Christos Faloutsos
2006	B	`conf`	A Linguistic Analysis of How People Describe Software Problems. VL/HCC Amy J. Ko, Brad A. Myers, Duen Horng Chau
2006	A*	`conf`	Answering why and why not questions in user interfaces. CHI Brad A. Myers, David A. Weitzman, Amy J. Ko, Duen Horng Chau
2006	—	`conf`	Detecting Fraudulent Personalities in Networks of Online Auctioneers. PKDD Duen Horng Chau, Shashank Pandit, Christos Faloutsos
2006	A*	`conf`	Huddle: automatically generating interfaces for systems of multiple connected appliances. UIST Jeffrey Nichols, Brandon Rothrock, Duen Horng Chau, Brad A. Myers
2006	A*	`conf`	In-stroke word completion. UIST Jacob O. Wobbrock, Brad A. Myers, Duen Horng Chau
2006	—	`conf`	Integrating isometric joysticks into mobile phones for text entry. CHI Extended Abstracts Duen Horng Chau, Jacob O. Wobbrock, Brad A. Myers, Brandon Rothrock