Search Results - "Wang, Zijie J"

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization by Wang, Zijie J., Turko, Robert, Shaikh, Omar, Park, Haekyu, Das, Nilaksh, Hohman, Fred, Kahng, Minsuk, Polo Chau, Duen Horng

“…Deep learning's great success motivates many practitioners and students to learn about this exciting technology. However, it is often challenging for beginners…”
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VG: Automatic Grading of D3 Visualizations by Hull, Matthew, Pednekar, Vivian, Murray, Hannah, Roy, Nimisha, Tung, Emmanuel, Routray, Susanta, Guerin, Connor, Chen, Justin, Wang, Zijie J., Lee, Seongmin, Roozbahani, Mahdi, Chau, Duen Horng

“…Manually grading D3 data visualizations is a challenging endeavor, and is especially difficult for large classes with hundreds of students. Grading an…”
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Classifying T cell activity in autofluorescence intensity images with convolutional neural networks by Wang, Zijie J., Walsh, Alex J., Skala, Melissa C., Gitter, Anthony

“…The importance of T cells in immunotherapy has motivated developing technologies to improve therapeutic efficacy. One objective is assessing antigen‐induced T…”
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VISGRADER: Automatic Grading of D3 Visualizations by Hull, Matthew, Pednekar, Vivian, Murray, Hannah, Roy, Nimisha, Tung, Emmanuel, Routray, Susanta, Guerin, Connor, Chen, Justin, Wang, Zijie J., Lee, Seongmin, Roozbahani, Mahdi, Chau, Duen Horng

“…Manually grading D3 data visualizations is a challenging endeavor, and is especially difficult for large classes with hundreds of students. Grading an…”
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VIsCUIT: Visual Auditor for Bias in CNN Image Classifier by Lee, Seongmin, Hoffman, Judy, Wang, Zijie J., Chau, Duen Horng

“…CNN image classifiers are widely used, thanks to their efficiency and accuracy. However, they can suffer from biases that impede their practical applications…”
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DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors by Vellaichamy, Sivapriya, Hull, Matthew, Wang, Zijie J., Das, Nilaksh, Peng, ShengYun, Park, Haekyu, Polo Chau, Duen Horng

“…With deep learning based systems performing exceedingly well in many vision-related tasks, a major concern with their widespread deployment especially in…”
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Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases by Munechika, David, Wang, Zijie J., Reidy, Jack, Rubin, Josh, Gade, Krishna, Kenthapadi, Krishnaram, Chau, Duen Horng

“…As machine learning (ML) systems become increasingly widespread, it is necessary to audit these systems for biases prior to their de-ployment. Recent research…”
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UnMask: Adversarial Detection and Defense Through Robust Feature Alignment by Freitas, Scott, Chen, Shang-Tse, Wang, Zijie J., Horng Chau, Duen

“…Recent research has demonstrated that deep learning architectures are vulnerable to adversarial attacks, high-lighting the vital need for defensive techniques…”
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TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization by Wang, Zijie J., Zhong, Chudi, Xin, Rui, Takagi, Takuya, Chen, Zhi, Chau, Duen Horng, Rudin, Cynthia, Seltzer, Margo

“…Given thousands of equally accurate machine learning (ML) models, how can users choose among them? A recent ML technique enables domain experts and data…”
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Explaining Website Reliability by Visualizing Hyperlink Connectivity by Lee, Seongmin, Afroz, Sadia, Park, Haekyu, Wang, Zijie J., Shaikh, Omar, Sehgal, Vibhor, Peshin, Ankit, Chau, Duen Horng

“…As the information on the Internet continues growing exponentially, understanding and assessing the reliability of a website is becoming increasingly…”
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Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks by Das, Nilaksh, Park, Haekyu, Wang, Zijie J., Hohman, Fred, Firstman, Robert, Rogers, Emily, Chau, Duen Horng Polo

“…Deep neural networks (DNNs) are now commonly used in many domains. However, they are vulnerable to adversarial attacks: carefully-crafted perturbations on data…”
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CNN E xplainer: Learning Convolutional Neural Networks with Interactive Visualization by Wang, Zijie J, Turko, Robert, Shaikh, Omar, Park, Haekyu, Das, Nilaksh, Hohman, Fred, Kahng, Minsuk, Duen Horng Polo Chau

“…Deep learning's great success motivates many practitioners and students to learn about this exciting technology. However, it is often challenging for beginners…”
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MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation by Wang, Zijie J, Chau, Duen Horng

“…Retrieval-augmented text generation (RAG) addresses the common limitations of large language models (LLMs), such as hallucination, by retrieving information…”
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Wordflow: Social Prompt Engineering for Large Language Models by Wang, Zijie J, Chakravarthy, Aishwarya, Munechika, David, Chau, Duen Horng

“…Large language models (LLMs) require well-crafted prompts for effective use. Prompt engineering, the process of designing prompts, is challenging, particularly…”
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REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes by Hull, Matthew, Wang, Zijie J, Chau, Duen Horng

“…Deep Learning models, such as those used in an autonomous vehicle are vulnerable to adversarial attacks where an attacker could place an adversarial object in…”
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WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings by Wang, Zijie J, Hohman, Fred, Chau, Duen Horng

“…Machine learning models often learn latent embedding representations that capture the domain semantics of their training data. These embedding representations…”
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WebSHAP: Towards Explaining Any Machine Learning Models Anywhere by Wang, Zijie J, Chau, Duen Horng

“…As machine learning (ML) is increasingly integrated into our everyday Web experience, there is a call for transparent and explainable web-based ML. However,…”
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Farsight: Fostering Responsible AI Awareness During AI Application Prototyping by Wang, Zijie J, Kulkarni, Chinmay, Wilcox, Lauren, Terry, Michael, Madaio, Michael

“…Prompt-based interfaces for Large Language Models (LLMs) have made prototyping and building AI-powered applications easier than ever before. However,…”
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SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks by Wang, Zijie J, Munechika, David, Lee, Seongmin, Chau, Duen Horng

“…Computational notebooks, such as Jupyter Notebook, have become data scientists' de facto programming environments. Many visualization researchers and…”
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NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics by Wang, Zijie J, Munechika, David, Lee, Seongmin, Chau, Duen Horng

“…How can we develop visual analytics (VA) tools that can be easily adopted? Visualization researchers have developed a large number of web-based VA tools to…”
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