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ORCIDPolo Chau
Duen Horng Chau – Duen Horng (Polo) Chau
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- affiliation: Georgia Institute of Technology, GA, USA
- affiliation (PhD 2012): Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 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) - [c120]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 - [c119]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 - [c118]Zijie J. Wang, Duen Horng Chau:
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. WWW (Companion Volume) 2023: 262-266 - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]Zijie J. Wang, Duen Horng Chau:
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. CoRR abs/2303.09545 (2023) - [i78]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) - [i77]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) - 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) - [c117]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 - [c116]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 - [c115]Scott Freitas, Rahul Duggal, Duen Horng Chau:
MalNet: A Large-Scale Image Database of Malicious Software. CIKM 2022: 3948-3952 - [c114]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 - [c113]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 - [c112]Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau:
VIsCUIT: Visual Auditor for Bias in CNN Image Classifier. CVPR 2022: 21443-21451 - [c111]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 - [c110]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 - [c109]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 - [c108]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 - [c107]Nilaksh Das, Polo Chau:
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. INTERSPEECH 2022: 3839-3843 - [c106]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 - [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, Josh 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)