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ORCIDPolo Chau
Duen Horng Chau – Duen Horng (Polo) Chau
Person information
- affiliation: Georgia Institute of Technology, GA, USA
- affiliation (PhD 2012): Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2024
[j32]Zoe Alexander
, Duen Horng Chau, Christopher Saldaña:
An Interrogative Survey of Explainable AI in Manufacturing. IEEE Trans. Ind. Informatics 20(5): 7069-7081 (2024)- [j31]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:
VG: Automatic Grading of D3 Visualizations. IEEE Trans. Vis. Comput. Graph. 30(1): 617-627 (2024) - [c139]Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany:
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking. AAAI 2024: 22276-22284 - [c138]Pratham Darrpan Mehta, Harsha Karanth, Haoyang Yang, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau:
ARCollab: Towards Multi-User Interactive Cardiovascular Surgical Planning in Mobile Augmented Reality. CHI Extended Abstracts 2024: 29:1-29:6 - [c137]Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau:
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks. CHI Extended Abstracts 2024: 304:1-304:17 - [c136]Matthew Hull, Zijie J. Wang, Duen Horng Chau:
Revamp: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes. Tiny Papers @ ICLR 2024 - [c135]Mansi Phute, Alec Helbling, Matthew Hull, Shengyun Peng, Sebastian Szyller, Cory Cornelius, Duen Horng Chau:
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. Tiny Papers @ ICLR 2024 - [c134]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau:
Interactive Visual Learning for Stable Diffusion. IJCAI 2024: 8721-8724 - [c133]Austin P. Wright, Scott Davidoff, Duen Horng Chau:
Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars. KDD 2024: 5969-5978 - [c132]Emily Wall, Laura E. Matzen, Mennatallah El-Assady, Peta Masters, Helia Hosseinpour, Alex Endert, Rita Borgo, Polo Chau, Adam Perer, Harald T. Schupp, Hendrik Strobelt, Lace M. K. Padilla:
Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. PacificVis 2024: 22-31 - [c131]Zijie J. Wang, Duen Horng Chau:
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation. SIGIR 2024: 2765-2770 - [i106]Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau:
Wordflow: Social Prompt Engineering for Large Language Models. CoRR abs/2401.14447 (2024) - [i105]Justin Blalock, David Munechika, Harsha Karanth, Alec Helbling, Pratham Darrpan Mehta, Seongmin Lee, Duen Horng Chau:
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models. CoRR abs/2402.01877 (2024) - [i104]Pratham Darrpan Mehta, Harsha Karanth, Haoyang Yang, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau:
ARCollab: Towards Multi-User Interactive Cardiovascular Surgical Planning in Mobile Augmented Reality. CoRR abs/2402.05075 (2024) - [i103]Alec Helbling, Seongmin Lee, Polo Chau:
Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions. CoRR abs/2402.07925 (2024) - [i102]Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau:
Self-Supervised Pre-Training for Table Structure Recognition Transformer. CoRR abs/2402.15578 (2024) - [i101]Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau:
UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining. CoRR abs/2403.04822 (2024) - [i100]Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng Chau, Minsuk Kahng:
LLM Attributor: Interactive Visual Attribution for LLM Generation. CoRR abs/2404.01361 (2024) - [i99]Alec Helbling, Seongmin Lee, Polo Chau:
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing. CoRR abs/2404.04376 (2024) - [i98]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Polo Chau:
Interactive Visual Learning for Stable Diffusion. CoRR abs/2404.16069 (2024) - [i97]Shengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau:
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models. CoRR abs/2405.17374 (2024) - [i96]Zijie J. Wang, Duen Horng Chau:
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation. CoRR abs/2407.01972 (2024) - [i95]Pratham Darrpan Mehta, Rahul O. Narayanan, Harsha Karanth, Haoyang Yang, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau:
Multi-User Mobile Augmented Reality for Cardiovascular Surgical Planning. CoRR abs/2408.03249 (2024) - [i94]Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng Chau:
Transformer Explainer: Interactive Learning of Text-Generative Models. CoRR abs/2408.04619 (2024) - [i93]Austin P. Wright, Scott Davidoff, Duen Horng Chau:
Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars. CoRR abs/2409.05874 (2024) - 2023
- [j30]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Graph Vulnerability and Robustness: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5915-5934 (2023) - [j29]Catalina Vajiac, Duen Horng Chau, Andreas M. Olligschlaeger, Rebecca Mackenzie, Pratheeksha Nair, Meng-Chieh Lee, Yifei Li, Namyong Park, Reihaneh Rabbany, Christos Faloutsos:
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. IEEE Trans. Vis. Comput. Graph. 29(1): 53-62 (2023) - [c130]Kevin Li, Rahul Duggal, Duen Horng Chau:
Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract). AAAI 2023: 16252-16253 - [c129]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:
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. AAAI 2023: 16410-16412 - [c128]Zijie J. Wang, Fred Hohman, Duen Horng Chau:
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. ACL (demo) 2023: 516-523 - [c127]Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau:
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. ACL (1) 2023: 893-911 - [c126]Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau:
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. BMVC 2023: 739-740 - [c125]Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, Duen Horng Chau:
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse. CHI 2023: 835:1-835:20 - [c124]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau:
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM 2023: 2044-2054 - [c123]Austin P. Wright, Peter Nemere, Adrian Galvin, Duen Horng Chau, Scott Davidoff:
Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework. IUI 2023: 91-105 - [c122]Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov:
Energy Transformer. NeurIPS 2023 - [c121]Zijie J. Wang, Duen Horng Chau:
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. WWW (Companion Volume) 2023: 262-266 - [d1]Zijie J. Wang, Duen Horng Chau:
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. Zenodo, 2023
- [i92]Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin:
RobArch: Designing Robust Architectures against Adversarial Attacks. CoRR abs/2301.03110 (2023) - [i91]Austin P. Wright, Peter Nemere, Adrian Galvin, Duen Horng Chau, Scott Davidoff:
Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework. CoRR abs/2302.07187 (2023) - [i90]Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov:
Energy Transformer. CoRR abs/2302.07253 (2023) - [i89]Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, Duen Horng Chau:
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse. CoRR abs/2302.14165 (2023) - [i88]Zijie J. Wang, Duen Horng Chau:
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. CoRR abs/2303.09545 (2023) - [i87]Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau:
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks. CoRR abs/2305.03039 (2023) - [i86]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau:
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. CoRR abs/2305.03509 (2023) - [i85]Zijie J. Wang, Fred Hohman, Duen Horng Chau:
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. CoRR abs/2306.09328 (2023) - [i84]Alec Helbling, Duen Horng Chau:
ManimML: Communicating Machine Learning Architectures with Animation. CoRR abs/2306.17108 (2023) - [i83]Alec Helbling, Mansi Phute, Matthew Hull, Duen Horng Chau:
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. CoRR abs/2308.07308 (2023) - [i82]Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau:
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. CoRR abs/2308.16258 (2023) - [i81]Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau:
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR abs/2309.16750 (2023) - [i80]Alec Helbling, Evan Montoya, Duen Horng Chau:
ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning. CoRR abs/2310.06968 (2023) - [i79]Matthew Hull, Zijie J. Wang, Duen Horng Chau:
REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes. CoRR abs/2310.12243 (2023) - [i78]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:
VisGrader: Automatic Grading of D3 Visualizations. CoRR abs/2310.12347 (2023) - [i77]Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau:
High-Performance Transformers for Table Structure Recognition Need Early Convolutions. CoRR abs/2311.05565 (2023) - 2022
- [j28]Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. ACM J. Data Inf. Qual. 14(3): 15:1-15:23 (2022) - [j27]Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau:
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 28(1): 813-823 (2022) - [c120]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:
A Search Engine for Discovery of Scientific Challenges and Directions. AAAI 2022: 11982-11990 - [c119]Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau:
MisVis: Explaining Web Misinformation Connections via Visual Summary. CHI Extended Abstracts 2022: 228:1-228:6 - [c118]Scott Freitas, Rahul Duggal, Duen Horng Chau:
MalNet: A Large-Scale Image Database of Malicious Software. CIKM 2022: 3948-3952 - [c117]Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park:
Context-aware Traffic Flow Forecasting in New Roads. CIKM 2022: 4133-4137 - [c116]Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Visual Exploration of Literature with Argo Scholar. CIKM 2022: 4912-4916 - [c115]Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau:
VIsCUIT: Visual Auditor for Bias in CNN Image Classifier. CVPR 2022: 21443-21451 - [c114]Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau:
DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors. CVPR 2022: 21452-21459 - [c113]Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau:
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. ECCV Workshops (1) 2022: 449-466 - [c112]Ashwin Singh, Arvindh Arun, Pulak Malhotra, Pooja Desur, Ayushi Jain, Duen Horng Chau, Ponnurangam Kumaraguru:
Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on Google Play. HT 2022: 186-191 - [c111]Nilaksh Das, Duen Horng Chau, Monica Sunkara, Sravan Bodapati, Dhanush Bekal, Katrin Kirchhoff:
Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities. ICASSP 2022: 7887-7891 - [c110]Nilaksh Das, Polo Chau:
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. INTERSPEECH 2022: 3839-3843 - [c109]Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana:
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. KDD 2022: 4132-4142 - [c108]Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehqal, Ankit Peshin, Duen Horng Chau:
Explaining Website Reliability by Visualizing Hyperlink Connectivity. IEEE VIS (Short Papers) 2022: 26-30 - [c107]David Munechika, Zijie J. Wang, Jack Reidy, Joshua Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau:
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. IEEE VIS (Short Papers) 2022: 45-49 - [c106]Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer:
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. IEEE VIS (Short Papers) 2022: 60-64 - [c105]Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany:
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. WWW (Companion Volume) 2022: 273-277 - [i76]Ashwin Singh, Arvindh A, Ayushi Jain, Pooja Desur, Pulak Malhotra, Duen Horng Chau, Ponnurangam Kumaraguru:
Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on the Google Play Store. CoRR abs/2202.04561 (2022) - [i75]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau:
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR abs/2203.16475 (2022) - [i74]Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau:
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. CoRR abs/2204.00734 (2022) - [i73]Nilaksh Das, Duen Horng Chau:
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. CoRR abs/2204.02381 (2022) - [i72]Seongmin Lee, Zijie J. Wang, Judy Hoffman, Duen Horng Chau:
VisCUIT: Visual Auditor for Bias in CNN Image Classifier. CoRR abs/2204.05899 (2022) - [i71]Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau:
NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics. CoRR abs/2205.03963 (2022) - [i70]David Munechika, Zijie J. Wang, Jack Reidy, Joshua Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau:
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. CoRR abs/2206.12540 (2022) - [i69]Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana:
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. CoRR abs/2206.15465 (2022) - [i68]Haoyang Yang, Pratham Darrpan Mehta, Jonathan Leo, Zhiyan Zhou, Megan Dass, Anish Upadhayay, Timothy C. Slesnick, Fawwaz Shaw, Amanda Randles, Duen Horng Chau:
Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality. CoRR abs/2208.10639 (2022) - [i67]Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer:
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. CoRR abs/2209.09227 (2022) - [i66]Rahul Duggal, Shengyun Peng, Hao Zhou, Duen Horng Chau:
IMB-NAS: Neural Architecture Search for Imbalanced Datasets. CoRR abs/2210.00136 (2022) - [i65]Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau:
Explaining Website Reliability by Visualizing Hyperlink Connectivity. CoRR abs/2210.00160 (2022) - [i64]Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P. Wright, Nilaksh Das, Duen Horng Chau:
NeuroMapper: In-browser Visualizer for Neural Network Training. CoRR abs/2210.12492 (2022) - [i63]Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Evaluation of Argo Scholar with Observational Study. CoRR abs/2210.13510 (2022) - [i62]Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau:
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. CoRR abs/2210.14896 (2022) - [i61]Polo Chau, Alex Endert, Daniel A. Keim, Daniela Oelke:
Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351). Dagstuhl Reports 12(8): 103-116 (2022) - 2021
- [j26]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:
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41(6): 7-12 (2021) - [j25]Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, Daniel A. Keim:
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. Comput. Graph. Forum 40(3): 543-567 (2021) - [j24]Austin P. Wright, Christopher M. Jones, Duen Horng Chau, R. Matthew Gladden, Steven A. Sumner:
Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media. J. Biomed. Informatics 119: 103824 (2021) - [j23]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, Diyi Yang:
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 181:1-181:26 (2021) - [j22]Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar, Duen Horng Chau:
Towards De-Anonymization of Google Play Search Rank Fraud. IEEE Trans. Knowl. Data Eng. 33(11): 3648-3661 (2021) - [j21]Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau:
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. IEEE Trans. Vis. Comput. Graph. 27(2): 1396-1406 (2021) - [c104]Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau:
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. AAAI 2021: 16094-16096 - [c103]Zijie J. Wang, Robert Turko, Duen Horng Chau:
Dodrio: Exploring Transformer Models with Interactive Visualization. ACL (demo) 2021: 132-141 - [c102]Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
HAR: Hardness Aware Reweighting for Imbalanced Datasets. IEEE BigData 2021: 735-745 - [c101]Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData 2021: 5102-5106 - [c100]Jonathan Leo, Zhiyan Zhou, Haoyang Yang, Megan Dass, Anish Upadhayay, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau:
Interactive Cardiovascular Surgical Planning via Augmented Reality. AsianCHI@CHI 2021: 132-135 - [c99]Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau:
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CHI Extended Abstracts 2021: 458:1-458:7 - [c98]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Evaluating Graph Vulnerability and Robustness using TIGER. CIKM 2021: 4495-4503 - [c97]Nilaksh Das, Sravan Bodapati, Monica Sunkara, Sundararajan Srinivasan, Duen Horng Chau:
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning. Interspeech 2021: 1314-1318 - [c96]Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau:
A Large-Scale Database for Graph Representation Learning. NeurIPS Datasets and Benchmarks 2021 - [i60]Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau:
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. CoRR abs/2101.10586 (2021) - [i59]Scott Freitas, Rahul Duggal, Duen Horng Chau:
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. CoRR abs/2102.01072 (2021) - [i58]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang:
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. CoRR abs/2102.04427 (2021) - [i57]Zijie J. Wang, Robert Turko, Duen Horng Chau:
Dodrio: Exploring Transformer Models with Interactive Visualization. CoRR abs/2103.14625 (2021) - [i56]Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau:
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CoRR abs/2103.16435 (2021) - [i55]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Graph Vulnerability and Robustness: A Survey. CoRR abs/2105.00419 (2021) - [i54]Austin P. Wright, Caleb Ziems, Haekyu Park, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang, Maria Tomprou:
Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes. CoRR abs/2106.11846 (2021) - [i53]Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau:
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR abs/2108.12931 (2021) - [i52]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:
A Search Engine for Discovery of Biomedical Challenges and Directions. CoRR abs/2108.13751 (2021) - [i51]Matthew Hull, Connor Guerin, Justin Chen, Susanta Routray, Duen Horng Chau:
Towards Automatic Grading of D3.js Visualizations. CoRR abs/2110.11227 (2021) - [i50]Kevin Li, Haoyang Yang, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Argo Scholar: Interactive Visual Exploration of Literature in Browsers. CoRR abs/2110.14060 (2021) - [i49]Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana:
GAM Changer: Editing Generalized Additive Models with Interactive Visualization. CoRR abs/2112.03245 (2021) - 2020
- [j20]Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng (Polo) Chau:
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. IEEE Trans. Vis. Comput. Graph. 26(1): 1096-1106 (2020) - [c95]Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau:
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. IEEE BigData 2020: 1081-1088 - [c94]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau:
RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CCHI 2020: 80-82 - [c93]Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CHI Extended Abstracts 2020: 1-7 - [c92]Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CHI Extended Abstracts 2020: 1-7 - [c91]Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau:
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. CIKM 2020: 3071-3076 - [c90]Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Polo Chau, Diyi Yang:
Examining the Ordering of Rhetorical Strategies in Persuasive Requests. EMNLP (Findings) 2020: 1299-1306 - [c89]Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil:
D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks. SDM 2020: 541-549 - [c88]Dong-Kyu Chae, Jihoo Kim, Duen Horng Chau, Sang-Wook Kim:
AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. SIGIR 2020: 1251-1260 - [c87]Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference 2020: 1717-1732 - [c86]Minsuk Kahng, Duen Horng (Polo) Chau:
How Does Visualization Help People Learn Deep Learning? Evaluating GAN Lab with Observational Study and Log Analysis. IEEE VIS (Short Papers) 2020: 266-270 - [c85]Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau:
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. IEEE VIS (Short Papers) 2020: 271-275 - [c84]Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun:
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. WWW 2020: 1704-1714 - [i48]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau:
RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CoRR abs/2001.01819 (2020) - [i47]Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CoRR abs/2001.02004 (2020) - [i46]Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CoRR abs/2001.07769 (2020) - [i45]Scott Freitas, Andrew Wicker, Duen Horng Chau, Joshua Neil:
D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks. CoRR abs/2001.11108 (2020) - [i44]Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun:
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. CoRR abs/2001.11363 (2020) - [i43]Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau:
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. CoRR abs/2002.09576 (2020) - [i42]Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. CoRR abs/2004.15004 (2020) - [i41]Scott Freitas, Duen Horng Chau:
Evaluating Graph Vulnerability and Robustness using TIGER. CoRR abs/2006.05648 (2020) - [i40]Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau:
PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing. CoRR abs/2006.06105 (2020) - [i39]Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
ELF: An Early-Exiting Framework for Long-Tailed Classification. CoRR abs/2006.11979 (2020) - [i38]Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau:
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. CoRR abs/2008.11844 (2020) - [i37]Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau:
Mapping Researchers with PeopleMap. CoRR abs/2009.00091 (2020) - [i36]Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. CoRR abs/2009.02608 (2020) - [i35]Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Duen Horng Chau, Alex Endert, Daniel A. Keim:
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations. CoRR abs/2009.06433 (2020) - [i34]Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang:
Examining the Ordering of Rhetorical Strategies in Persuasive Requests. CoRR abs/2010.04625 (2020) - [i33]Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau:
A Comparative Analysis of Industry Human-AI Interaction Guidelines. CoRR abs/2010.11761 (2020) - [i32]Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau:
A Large-Scale Database for Graph Representation Learning. CoRR abs/2011.07682 (2020) - [i31]Adam Coscia, Duen Horng Chau, Alex Endert:
Toward a Bias-Aware Future for Mixed-Initiative Visual Analytics. CoRR abs/2011.09988 (2020) - [i30]Daniela Oelke, Daniel A. Keim, Polo Chau, Alex Endert:
Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382). Dagstuhl Reports 10(4): 37-42 (2020)
2010 – 2019
- 2019
- [j19]Matthijs van Leeuwen, Polo Chau, Jilles Vreeken, Dafna Shahaf, Christos Faloutsos:
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1). ACM Trans. Knowl. Discov. Data 13(1): 13:1-13:2 (2019) - [j18]Minsuk Kahng, Nikhil Thorat, Duen Horng (Polo) Chau, Fernanda B. Viégas, Martin Wattenberg:
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. IEEE Trans. Vis. Comput. Graph. 25(1): 310-320 (2019) - [j17]Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau:
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. IEEE Trans. Vis. Comput. Graph. 25(8): 2674-2693 (2019) - [c83]Joonyoung Kim, Kristina Marotta, Jonathan Leo, Sudeep Agarwal, Siwei Li, Duen Horng Chau:
Mixed Reality for Learning Programming. IDC 2019: 574-579 - [c82]Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau:
FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. VAST 2019: 46-56 - [c81]James Abello, Fred Hohman, Varun Bezzam, Duen Horng Chau:
Atlas: local graph exploration in a global context. IUI 2019: 165-176 - [c80]Xiangyun Lei, Fred Hohman, Duen Horng (Polo) Chau, Andrew J. Medford:
ElectroLens: Understanding Atomistic Simulations through Spatially-Resolved Visualization of High-Dimensional Features. IEEE VIS (Short Papers) 2019: 196-200 - [e4]Wai-Tat Fu, Shimei Pan, Oliver Brdiczka, Polo Chau, Gaelle Calvary:
Proceedings of the 24th International Conference on Intelligent User Interfaces, IUI 2019, Marina del Ray, CA, USA, March 17-20, 2019. ACM 2019, ISBN 978-1-4503-6272-6 [contents] - [i29]Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Training Data Generation with Affinity Coding. CoRR abs/1903.04552 (2019) - [i28]Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau:
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. CoRR abs/1904.02323 (2019) - [i27]Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau:
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning. CoRR abs/1904.05419 (2019) - [i26]Cory Cornelius, Shang-Tse Chen, Jason Martin, Duen Horng Chau:
Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA. CoRR abs/1904.12622 (2019) - [i25]Haekyu Park, Fred Hohman, Duen Horng Chau:
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. CoRR abs/1906.00332 (2019) - [i24]Xiangyun Lei, Fred Hohman, Duen Horng Chau, Andrew J. Medford:
ElectroLens: Understanding Atomistic Simulations Through Spatially-resolved Visualization of High-dimensional Features. CoRR abs/1908.08381 (2019) - 2018
- [j16]Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Rahul C. Basole, Moushumi Sharmin, Duen Horng Chau:
Chronodes: Interactive Multifocus Exploration of Event Sequences. ACM Trans. Interact. Intell. Syst. 8(1): 2:1-2:21 (2018) - [j15]Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng (Polo) Chau:
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. IEEE Trans. Vis. Comput. Graph. 24(1): 88-97 (2018) - [j14]Robert S. Pienta, Fred Hohman, Alex Endert, Acar Tamersoy, Kevin A. Roundy, Christopher S. Gates, Shamkant B. Navathe, Duen Horng Chau:
VIGOR: Interactive Visual Exploration of Graph Query Results. IEEE Trans. Vis. Comput. Graph. 24(1): 215-225 (2018) - [c79]Abhijit Suprem, Duen Horng Chau, Calton Pu:
Approximate Query Matching for Graph-Based Holistic Image Retrieval. BigData Congress 2018: 72-84 - [c78]Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng (Polo) Chau, Hanghang Tong:
Local Partition in Rich Graphs. IEEE BigData 2018: 1001-1008 - [c77]Alok Tripathy, Fred Hohman, Duen Horng Chau, Oded Green:
Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure. IEEE BigData 2018: 1134-1141 - [c76]Nathan Dass, Joonyoung Kim, Sam Ford, Sudeep Agarwal, Duen Horng (Polo) Chau:
Augmenting Coding: Augmented Reality for Learning Programming. CCHI 2018: 156-159 - [c75]Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar, Duen Horng Chau:
Search Rank Fraud De-Anonymization in Online Systems. HT 2018: 174-182 - [c74]Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau:
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. KDD 2018: 196-204 - [c73]Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng (Polo) Chau:
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector. ECML/PKDD (1) 2018: 52-68 - [c72]Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau:
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. ECML/PKDD (3) 2018: 677-681 - [c71]Yanzhe Cheng, Fang (Cherry) Liu, Shan Jing, Weijia Xu, Duen Horng Chau:
Building Big Data Processing and Visualization Pipeline through Apache Zeppelin. PEARC 2018: 57:1-57:7 - [r1]Duen Horng Chau, Christos Faloutsos:
Fraud Detection Using Social Network Analysis: A Case Study. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i23]Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau:
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. CoRR abs/1801.06889 (2018) - [i22]Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau:
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. CoRR abs/1802.06816 (2018) - [i21]Abhijit Suprem, Polo Chau:
Approximate Query Matching for Image Retrieval. CoRR abs/1803.05401 (2018) - [i20]Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng Chau:
Robust Physical Adversarial Attack on Faster R-CNN Object Detector. CoRR abs/1804.05810 (2018) - [i19]Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau:
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. CoRR abs/1805.11852 (2018) - [i18]Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau:
Interactive Classification for Deep Learning Interpretation. CoRR abs/1806.05660 (2018) - [i17]Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar, Duen Horng Chau:
Search Rank Fraud De-Anonymization in Online Systems. CoRR abs/1806.08910 (2018) - [i16]James Abello, Fred Hohman, Varun Bezzam, Duen Horng Chau:
Large Graph Exploration via Subgraph Discovery and Decomposition. CoRR abs/1808.04414 (2018) - [i15]Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda B. Viégas, Martin Wattenberg:
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. CoRR abs/1809.01587 (2018) - 2017
- [j13]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:
Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K). IEEE Pervasive Comput. 16(2): 18-22 (2017) - [j12]Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau:
Search Rank Fraud and Malware Detection in Google Play. IEEE Trans. Knowl. Data Eng. 29(6): 1329-1342 (2017) - [c70]Shang-Tse Chen, Yufei Han, Duen Horng Chau, Christopher S. Gates, Michael Hart, Kevin A. Roundy:
Predicting Cyber Threats with Virtual Security Products. ACSAC 2017: 189-199 - [c69]Fred Hohman, Nathan O. Hodas, Duen Horng Chau:
ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation. CHI Extended Abstracts 2017: 1694-1699 - [c68]Acar Tamersoy, Duen Horng Chau, Munmun De Choudhury:
Analysis of Smoking and Drinking Relapse in an Online Community. DH 2017: 33-42 - [c67]Dezhi Fang, Fred Hohman, Peter J. Polack Jr., Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng Chau:
mHealth visual discovery dashboard. UbiComp/ISWC Adjunct 2017: 237-240 - [c66]Paras Jain, Chirag Tailor, Sam Ford, Liexiao Ding, Michael Phillips, Fang (Cherry) Liu, Nagi Gebraeel, Duen Horng Chau:
Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. IPDPS Workshops 2017: 1078-1082 - [c65]Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau:
FACETS: Adaptive Local Exploration of Large Graphs. SDM 2017: 597-605 - [c64]Robert S. Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau:
Visual Graph Query Construction and Refinement. SIGMOD Conference 2017: 1587-1590 - [c63]Dezhi Fang, Matthew Keezer, Jacob Williams, Kshitij Kulkarni, Robert S. Pienta, Duen Horng Chau:
Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies. WWW (Companion Volume) 2017: 775-776 - [p1]Peter J. Polack Jr., Moushumi Sharmin, Kaya de Barbaro, Minsuk Kahng, Shang-Tse Chen, Duen Horng Chau:
Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 349-360 - [i14]Paras Jain, Chirag Tailor, Sam Ford, Liexiao Ding, Michael Phillips, Fang (Cherry) Liu, Nagi Gebraeel, Duen Horng Chau:
Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. CoRR abs/1701.07500 (2017) - [i13]Dezhi Fang, Matthew Keezer, Jacob Williams, Kshitij Kulkarni, Robert S. Pienta, Duen Horng Chau:
Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies. CoRR abs/1702.07099 (2017) - [i12]Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau:
FairPlay: Fraud and Malware Detection in Google Play. CoRR abs/1703.02002 (2017) - [i11]Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng Chau:
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. CoRR abs/1704.01942 (2017) - [i10]Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau:
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression. CoRR abs/1705.02900 (2017) - 2016
- [j11]Kunal Malhotra, Shamkant B. Navathe, Duen Horng Chau, Costas Hadjipanayis, Jimeng Sun:
Constraint based temporal event sequence mining for Glioblastoma survival prediction. J. Biomed. Informatics 61: 267-275 (2016) - [j10]Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng (Polo) Chau:
Interactive Browsing and Navigation in Relational Databases. Proc. VLDB Endow. 9(12): 1017-1028 (2016) - [j9]Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau:
Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. 28(1): 113-126 (2016) - [c62]Shimei Pan, Oliver Brdiczka, Giuseppe Carenini, Duen Horng Chau, Per Ola Kristensson:
What's Hot in Intelligent User Interfaces. AAAI 2016: 4333-4334 - [c61]Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau:
Communication Efficient Distributed Agnostic Boosting. AISTATS 2016: 1299-1307 - [c60]Robert S. Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau:
VISAGE: Interactive Visual Graph Querying. AVI 2016: 272-279 - [c59]Fang (Cherry) Liu, Fu Shen, Duen Horng Chau, Neil Bright, Mehmet Belgin:
Building a research data science platform from industrial machines. IEEE BigData 2016: 2270-2275 - [c58]Robert S. Pienta, Leilei Xiong, Santiago Grijalva, Duen Horng (Polo) Chau, Minsuk Kahng:
STEPS: A Spatio-temporal Electric Power Systems Visualization. IUI Companion 2016: 32-35 - [c57]Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina:
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. KDD 2016: 185-194 - [c56]Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng (Polo) Chau, Minsuk Kahng, U Kang:
M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model. ECML/PKDD (2) 2016: 623-640 - [c55]Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau:
FairPlay: Fraud and Malware Detection in Google Play. SDM 2016: 99-107 - [c54]Minsuk Kahng, Dezhi Fang, Duen Horng (Polo) Chau:
Visual exploration of machine learning results using data cube analysis. HILDA@SIGMOD 2016: 1 - [c53]Dezhi Fang, Duen Horng Chau:
M3: Scaling Up Machine Learning via Memory Mapping. SIGMOD Conference 2016: 2249-2250 - [c52]Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy:
Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) 2016: 109-110 - [i9]Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina:
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. CoRR abs/1602.09067 (2016) - [i8]Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng Chau:
Interactive Browsing and Navigation in Relational Databases. CoRR abs/1603.02371 (2016) - [i7]Dezhi Fang, Duen Horng Chau:
M3: Scaling Up Machine Learning via Memory Mapping. CoRR abs/1604.03034 (2016) - [i6]Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Moushumi Sharmin, Rahul C. Basole, Duen Horng Chau:
Chronodes: Interactive Multi-focus Exploration of Event Sequences. CoRR abs/1609.08535 (2016) - 2015
- [j8]Duen Horng (Polo) Chau, Oliver Brdiczka:
ACM IUI 2015 conference highlights. AI Matters 2(1): 14-15 (2015) - [j7]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:
Understanding variations in pediatric asthma care processes in the emergency department using visual analytics. J. Am. Medical Informatics Assoc. 22(2): 318-323 (2015) - [j6]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:
Center of excellence for mobile sensor data-to-knowledge (MD2K). J. Am. Medical Informatics Assoc. 22(6): 1137-1142 (2015) - [j5]Mahmudur Rahman, Bogdan Carbunar, Jaime Ballesteros, Duen Horng (Polo) Chau:
To catch a fake: Curbing deceptive Yelp ratings and venues. Stat. Anal. Data Min. 8(3): 147-161 (2015) - [c51]Robert S. Pienta, James Abello, Minsuk Kahng, Duen Horng Chau:
Scalable graph exploration and visualization: Sensemaking challenges and opportunities. BigComp 2015: 271-278 - [c50]Robert Chen, Vikas Kumar, Natalie Fitch, Jitesh Jagadish, Lifan Zhang, William Dunn, Duen Horng Chau:
explICU: A web-based visualization and predictive modeling toolkit for mortality in intensive care patients. EMBC 2015: 6830-6833 - [c49]Acar Tamersoy, Munmun De Choudhury, Duen Horng Chau:
Characterizing Smoking and Drinking Abstinence from Social Media. HT 2015: 139-148 - [c48]Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau:
TimeStitch: Interactive multi-focus cohort discovery and comparison. VAST 2015: 209-210 - [c47]Robert S. Pienta, Acar Tamersoy, Hanghang Tong, Alex Endert, Duen Horng (Polo) Chau:
Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design. IUI Companion 2015: 61-64 - [c46]Alexandre Yahi, Antoine Chassang, Louis Raynaud, Hugo Duthil, Duen Horng (Polo) Chau:
Aurigo: an Interactive Tour Planner for Personalized Itineraries. IUI 2015: 275-285 - [c45]Rahul C. Basole, Hyunwoo Park, Mayank Gupta, Mark L. Braunstein, Duen Horng Chau, Michael Thompson:
A visual analytics approach to understanding care process variation and conformance. VAHC 2015: 6:1-6:8 - [c44]Srishti Gupta, Robert S. Pienta, Acar Tamersoy, Duen Horng Chau, Rahul C. Basole:
Identifying Successful Investors in the Startup Ecosystem. WWW (Companion Volume) 2015: 39-40 - [e3]Oliver Brdiczka, Polo Chau, Giuseppe Carenini, Shimei Pan, Per Ola Kristensson:
Proceedings of the 20th International Conference on Intelligent User Interfaces, IUI 2015, Atlanta, GA, USA, March 29 - April 01, 2015. ACM 2015, ISBN 978-1-4503-3306-1 [contents] - [e2]Oliver Brdiczka, Polo Chau, Giuseppe Carenini, Shimei Pan, Per Ola Kristensson:
Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, IUI 2015, Atlanta, GA, USA, March 29 - April 01, 2015. ACM 2015, ISBN 978-1-4503-3308-5 [contents] - [i5]Robert S. Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau:
Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs. CoRR abs/1505.06792 (2015) - [i4]Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng Chau, Minsuk Kahng, U Kang:
M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model. CoRR abs/1506.01406 (2015) - [i3]Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau:
Communication Efficient Distributed Agnostic Boosting. CoRR abs/1506.06318 (2015) - [i2]Paras Jain, Shang-Tse Chen, Mozhgan Azimpourkivi, Duen Horng Chau, Bogdan Carbunar:
Spotting Suspicious Reviews via (Quasi-)clique Extraction. CoRR abs/1509.05935 (2015) - 2014
- [j4]Acar Tamersoy, Elias B. Khalil, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge, Duen Horng Chau, Shamkant B. Navathe:
Large-scale insider trading analysis: patterns and discoveries. Soc. Netw. Anal. Min. 4(1): 201 (2014) - [j3]Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng Chau, B. Aditya Prakash, Christos Faloutsos:
SharkFin: Spatio-temporal mining of software adoption and penetration. Soc. Netw. Anal. Min. 4(1): 240 (2014) - [j2]Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, Florian Foerster, Aakash Goel, John T. Stasko, Duen Horng Chau:
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration. IEEE Trans. Vis. Comput. Graph. 20(12): 2320-2328 (2014) - [c43]Yiqi Chen, Zhiyuan Lin, Robert S. Pienta, Minsuk Kahng, Duen Horng Chau:
Towards scalable graph computation on mobile devices. IEEE BigData 2014: 29-35 - [c42]Zhiyuan Lin, Minsuk Kahng, Kaeser Md. Sabrin, Duen Horng (Polo) Chau, Ho Lee, U Kang:
MMap: Fast billion-scale graph computation on a PC via memory mapping. IEEE BigData 2014: 159-164 - [c41]Robert S. Pienta, Acar Tamersoy, Hanghang Tong, Duen Horng Chau:
MAGE: Matching approximate patterns in richly-attributed graphs. IEEE BigData 2014: 585-590 - [c40]Premkumar Saravanan, Samuel Clarke, Duen Horng (Polo) Chau, Hongyuan Zha:
LatentGesture: active user authentication through background touch analysis. CCHI 2014: 110-113 - [c39]Duen Horng (Polo) Chau:
HCI meets data mining: principles and tools for big data analytics. CHI Extended Abstracts 2014: 1039-1040 - [c38]Charles D. Stolper, Florian Foerster, Minsuk Kahng, Zhiyuan Lin, Aakash Goel, John T. Stasko, Duen Horng Chau:
GLOs: graph-level operations for exploratory network visualization. CHI Extended Abstracts 2014: 1375-1380 - [c37]Acar Tamersoy, Kevin A. Roundy, Duen Horng Chau:
Guilt by association: large scale malware detection by mining file-relation graphs. KDD 2014: 1524-1533 - [c36]Mahmudur Rahman, Bogdan Carbunar, Jaime Ballesteros, George Burri, Duen Horng (Polo) Chau:
Turning the Tide: Curbing Deceptive Yelp Behaviors. SDM 2014: 244-252 - [c35]U Kang, Leman Akoglu, Duen Horng Chau:
Big graph mining for the web and social media: algorithms, anomaly detection, and applications. WSDM 2014: 677-678 - 2013
- [c34]Acar Tamersoy, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge, Duen Horng Chau, Shamkant B. Navathe:
Inside insider trading: patterns & discoveries from a large scale exploratory analysis. ASONAM 2013: 797-804 - [c33]Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng (Polo) Chau, B. Aditya Prakash, Christos Faloutsos:
Spatio-temporal mining of software adoption & penetration. ASONAM 2013: 878-885 - [c32]Zhiyuan Lin, Duen Horng (Polo) Chau, U Kang:
Leveraging memory mapping for fast and scalable graph computation on a PC. IEEE BigData 2013: 95-98 - [c31]Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park:
Fast interactive visualization for multivariate data exploration. CHI Extended Abstracts 2013: 1773-1778 - [c30]Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park:
Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. ICDM Workshops 2013: 1093-1096 - [c29]Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau:
Demonstrating Interactive Multi-resolution Large Graph Exploration. ICDM Workshops 2013: 1097-1100 - [c28]Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park:
Augmenting MATLAB with semantic objects for an interactive visual environment. IDEA@KDD 2013: 63-70 - [c27]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:
Detecting insider threats in a real corporate database of computer usage activity. KDD 2013: 1393-1401 - [c26]Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken:
Mining Connection Pathways for Marked Nodes in Large Graphs. SDM 2013: 37-45 - [e1]Duen Horng Chau, Jilles Vreeken, Matthijs van Leeuwen, Christos Faloutsos:
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, IDEA@KDD 2013, Chicago, Illinois, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2329-1 [contents] - 2012
- [b1]Polo Chau:
Data Mining Meets HCI: Making Sense of Large Graphs. Carnegie Mellon University, USA, 2012 - [c25]Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos:
Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. ASONAM 2012: 696-698 - [c24]Jacob Eisenstein, Duen Horng Chau, Aniket Kittur, Eric P. Xing:
TopicViz: interactive topic exploration in document collections. CHI Extended Abstracts 2012: 2177-2182 - [c23]U Kang, Duen Horng Chau, Christos Faloutsos:
Pegasus: Mining billion-scale graphs in the cloud. ICASSP 2012: 5341-5344 - [c22]Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos:
TourViz: interactive visualization of connection pathways in large graphs. KDD 2012: 1516-1519 - [c21]Leman Akoglu, Duen Horng Chau, U Kang, Danai Koutra, Christos Faloutsos:
OPAvion: mining and visualization in large graphs. SIGMOD Conference 2012: 717-720 - 2011
- [j1]Polo Chau:
Catching bad guys with graph mining. XRDS 17(3): 16-18 (2011) - [c20]Duen Horng Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos:
Apolo: making sense of large network data by combining rich user interaction and machine learning. CHI 2011: 167-176 - [c19]U Kang, Duen Horng Chau, Christos Faloutsos:
Mining large graphs: Algorithms, inference, and discoveries. ICDE 2011: 243-254 - [c18]Duen Horng Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos:
Apolo: interactive large graph sensemaking by combining machine learning and visualization. KDD 2011: 739-742 - [c17]Danai Koutra, Tai-You Ke, U Kang, Duen Horng Chau, Hsing-Kuo Kenneth Pao, Christos Faloutsos:
Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. ECML/PKDD (2) 2011: 245-260 - [c16]Duen Horng Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos:
Large Scale Graph Mining and Inference for Malware Detection. SDM 2011: 131-142 - [i1]Jacob Eisenstein, Duen Horng Chau, Aniket Kittur, Eric P. Xing:
TopicScape: Semantic Navigation of Document Collections. CoRR abs/1110.6200 (2011) - 2010
- [c15]Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau:
On the Vulnerability of Large Graphs. ICDM 2010: 1091-1096
2000 – 2009
- 2009
- [c14]Duen Horng Chau, Aniket Kittur, Christos Faloutsos, Jason I. Hong:
SHIFTR: a user-directed, link-based system for ad hoc sensemaking of large heterogeneous data collections. CHI Extended Abstracts 2009: 3535-3536 - 2008
- [c13]Duen Horng Chau, Brad A. Myers, Andrew Faulring:
What to do when search fails: finding information by association. CHI 2008: 999-1008 - [c12]Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad:
GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops 2008: 963-966 - 2007
- [c11]Jacob O. Wobbrock, Duen Horng Chau, Brad A. Myers:
An alternative to push, press, and tap-tap-tap: gesturing on an isometric joystick for mobile phone text entry. CHI 2007: 667-676 - [c10]Jeffrey Nichols, Duen Horng Chau, Brad A. Myers:
Demonstrating the viability of automatically generated user interfaces. CHI 2007: 1283-1292 - [c9]Iván E. González, Jacob O. Wobbrock, Duen Horng Chau, Andrew Faulring, Brad A. Myers:
Eyes on the road, hands on the wheel: thumb-based interaction techniques for input on steering wheels. Graphics Interface 2007: 95-102 - [c8]Shashank Pandit, Duen Horng Chau, Samuel Wang, Christos Faloutsos:
Netprobe: a fast and scalable system for fraud detection in online auction networks. WWW 2007: 201-210 - [c7]Duen Horng Chau, Shashank Pandit, Samuel Wang, Christos Faloutsos:
Parallel crawling for online social networks. WWW 2007: 1283-1284 - 2006
- [c6]Brad A. Myers, David A. Weitzman, Amy J. Ko, Duen Horng Chau:
Answering why and why not questions in user interfaces. CHI 2006: 397-406 - [c5]Duen Horng Chau, Jacob O. Wobbrock, Brad A. Myers, Brandon Rothrock:
Integrating isometric joysticks into mobile phones for text entry. CHI Extended Abstracts 2006: 640-645 - [c4]Duen Horng Chau, Shashank Pandit, Christos Faloutsos:
Detecting Fraudulent Personalities in Networks of Online Auctioneers. PKDD 2006: 103-114 - [c3]Jeffrey Nichols, Brandon Rothrock, Duen Horng Chau, Brad A. Myers:
Huddle: automatically generating interfaces for systems of multiple connected appliances. UIST 2006: 279-288 - [c2]Jacob O. Wobbrock, Brad A. Myers, Duen Horng Chau:
In-stroke word completion. UIST 2006: 333-336 - [c1]Amy J. Ko, Brad A. Myers, Duen Horng Chau:
A Linguistic Analysis of How People Describe Software Problems. VL/HCC 2006: 127-134
Coauthor Index
Shengyun Peng
aka: Sheng-Yun Peng
aka: Sheng-Yun Peng
[j31] [c137] [c136] [c134] [c131] [i106] [i100] [i98] [i96] [i94] [c128] [c127] [c125] [c121] [d1] [i89] [i88] [i87] [i86] [i85] [i79] [i78] [c119] [c115] [c114] [c109] [c108] [c107] [c106] [i72] [i71] [i70] [i69] [i67] [i65] [i62] [j21] [c104] [c103] [i60] [i57] [i49] [c95] [c93] [c92] [c91] [c85] [i47] [i46] [i43] [i42] [i40] [i38] [i37] [i36] [i33]
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