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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) - [c141]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 - [c140]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 - [c139]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 - [c138]Matthew Hull, Zijie J. Wang, Duen Horng Chau:
Revamp: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes. Tiny Papers @ ICLR 2024 - [c137]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 - [c136]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 - [c135]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 - [c134]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 - [c133]Zijie J. Wang, Duen Horng Chau:
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation. SIGIR 2024: 2765-2770 - [c132]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng (Polo) Chau:
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. IEEE VIS 2024: 96-100 - [c131]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. IEEE VIS 2024: 201-205 - [i110]Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau:
Wordflow: Social Prompt Engineering for Large Language Models. CoRR abs/2401.14447 (2024) - [i109]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) - [i108]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) - [i107]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) - [i106]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) - [i105]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) - [i104]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) - [i103]Alec Helbling, Seongmin Lee, Polo Chau:
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing. CoRR abs/2404.04376 (2024) - [i102]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) - [i101]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) - [i100]Zijie J. Wang, Duen Horng Chau:
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation. CoRR abs/2407.01972 (2024) - [i99]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) - [i98]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) - [i97]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) - [i96]Seongmin Lee, Ali Payani, Duen Horng Chau:
Effective Guidance for Model Attention with Simple Yes-no Annotations. CoRR abs/2410.22312 (2024) - [i95]Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov:
Dense Associative Memory Through the Lens of Random Features. CoRR abs/2410.24153 (2024) - [i94]Anisha Pal, Julia Kruk, Mansi Phute, Manognya Bhattaram, Diyi Yang, Duen Horng Chau, Judy Hoffman:
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors. CoRR abs/2411.07472 (2024) - [i93]Matthew Hull, Chao Zhang, Zsolt Kira, Duen Horng Chau:
Adversarial Attacks Using Differentiable Rendering: A Survey. CoRR abs/2411.09749 (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]