Zijie J. Wang

According to our database, Zijie J. Wang authored at least 38 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VG: Automatic Grading of D3 Visualizations.

Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, M. Mahdi Roozbahani, Duen Horng Chau

IEEE Trans. Vis. Comput. Graph., January, 2024

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping.

Zijie J. Wang, Chinmay Kulkarni, Lauren Wilcox, Michael Terry, Michael Madaio

CoRR, 2024

Wordflow: Social Prompt Engineering for Large Language Models.

Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau

CoRR, 2024

2023

VisGrader: Automatic Grading of D3 Visualizations.

Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, M. Mahdi Roozbahani, Duen Horng Chau

CoRR, 2023

REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes.

Matthew Hull, Zijie J. Wang, Duen Horng Chau

CoRR, 2023

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau

CoRR, 2023

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks.

Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau

CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.

Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

CoRR, 2023

WebSHAP: Towards Explaining Any Machine Learning Models Anywhere.

Zijie J. Wang, Duen Horng Chau

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.

Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

GAM Coach: Towards Interactive and User-centered Algorithmic Recourse.

Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, Duen Horng Chau

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Angler: Helping Machine Translation Practitioners Prioritize Model Improvements.

Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.

Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings.

Zijie J. Wang, Fred Hohman, Duen Horng Chau

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity.

Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau

CoRR, 2022

NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics.

Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau

CoRR, 2022

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization.

Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases.

David Munechika, Zijie J. Wang, Jack Reidy, Joshua Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity.

Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehqal, Ankit Peshin, Duen Horng Chau

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values.

Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Overcoming Language Disparity in Online Content Classification with Multimodal Learning.

Gaurav Verma, Rohit Mujumdar, Zijie J. Wang, Munmun De Choudhury, Srijan Kumar

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors.

Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

VIsCUIT: Visual Auditor for Bias in CNN Image Classifier.

Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

StickyLand: Breaking the Linear Presentation of Computational Notebooks.

Zijie J. Wang, Katie Dai, W. Keith Edwards

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

MisVis: Explaining Web Misinformation Connections via Visual Summary.

Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.

Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau

IEEE Trans. Vis. Comput. Graph., 2021

GAM Changer: Editing Generalized Additive Models with Interactive Visualization.

Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana

CoRR, 2021

Putting Humans in the Natural Language Processing Loop: A Survey.

Zijie J. Wang, Dongjin Choi, Shenyu Xu, Diyi Yang

CoRR, 2021

Dodrio: Exploring Transformer Models with Interactive Visualization.

Zijie J. Wang, Robert Turko, Duen Horng Chau

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models.

Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Comparative Analysis of Industry Human-AI Interaction Guidelines.

Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau

CoRR, 2020

Mapping Researchers with PeopleMap.

Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau

CoRR, 2020

PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing.

Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau

CoRR, 2020

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks.

Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau

Proceedings of the 31st IEEE Visualization Conference, 2020

Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers.

Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

CNN 101: Interactive Visual Learning for Convolutional Neural Networks.

Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning.

Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

UnMask: Adversarial Detection and Defense Through Robust Feature Alignment.

Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020