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Zijie J. Wang
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2020 – today
- 2024
- [j2]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
:
VG: Automatic Grading of D3 Visualizations. IEEE Trans. Vis. Comput. Graph. 30(1): 617-627 (2024) - [c24]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 - [c23]Zijie J. Wang
, Chinmay Kulkarni
, Lauren Wilcox
, Michael Terry
, Michael Madaio
:
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping. CHI 2024: 976:1-976:40 - [i35]Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau:
Wordflow: Social Prompt Engineering for Large Language Models. CoRR abs/2401.14447 (2024) - [i34]Zijie J. Wang, Chinmay Kulkarni, Lauren Wilcox, Michael Terry, Michael Madaio:
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping. CoRR abs/2402.15350 (2024) - [i33]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) - [i32]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) - 2023
- [c22]Zijie J. Wang, Fred Hohman, Duen Horng Chau:
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. ACL (demo) 2023: 516-523 - [c21]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 - [c20]Samantha Robertson
, Zijie J. Wang
, Dominik Moritz
, Mary Beth Kery
, Fred Hohman
:
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements. CHI 2023: 832:1-832:20 - [c19]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 - [c18]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
:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895 - [c17]Zijie J. Wang
, Duen Horng Chau
:
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. WWW (Companion Volume) 2023: 262-266 - [i31]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) - [i30]Zijie J. Wang, Duen Horng Chau:
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. CoRR abs/2303.09545 (2023) - [i29]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:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - [i28]Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman:
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements. CoRR abs/2304.05967 (2023) - [i27]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) - [i26]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) - [i25]Zijie J. Wang, Fred Hohman, Duen Horng Chau:
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. CoRR abs/2306.09328 (2023) - [i24]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) - [i23]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:
VisGrader: Automatic Grading of D3 Visualizations. CoRR abs/2310.12347 (2023) - 2022
- [c16]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 - [c15]Zijie J. Wang, Katie Dai, W. Keith Edwards:
StickyLand: Breaking the Linear Presentation of Computational Notebooks. CHI Extended Abstracts 2022: 269:1-269:7 - [c14]Seongmin Lee, Judy Hoffman
, Zijie J. Wang, Duen Horng Chau:
VIsCUIT: Visual Auditor for Bias in CNN Image Classifier. CVPR 2022: 21443-21451 - [c13]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 - [c12]Gaurav Verma, Rohit Mujumdar, Zijie J. Wang, Munmun De Choudhury, Srijan Kumar:
Overcoming Language Disparity in Online Content Classification with Multimodal Learning. ICWSM 2022: 1040-1051 - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [i22]Zijie J. Wang, Katie Dai, W. Keith Edwards:
StickyLand: Breaking the Linear Presentation of Computational Notebooks. CoRR abs/2202.11086 (2022) - [i21]Seongmin Lee, Zijie J. Wang, Judy Hoffman
, Duen Horng Chau:
VisCUIT: Visual Auditor for Bias in CNN Image Classifier. CoRR abs/2204.05899 (2022) - [i20]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) - [i19]Gaurav Verma, Rohit Mujumdar, Zijie J. Wang, Munmun De Choudhury, Srijan Kumar:
Overcoming Language Disparity in Online Content Classification with Multimodal Learning. CoRR abs/2205.09744 (2022) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - 2021
- [j1]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) - [c7]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 - [c6]Zijie J. Wang, Robert Turko, Duen Horng Chau:
Dodrio: Exploring Transformer Models with Interactive Visualization. ACL (demo) 2021: 132-141 - [i13]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) - [i12]Zijie J. Wang, Dongjin Choi, Shenyu Xu, Diyi Yang:
Putting Humans in the Natural Language Processing Loop: A Survey. CoRR abs/2103.04044 (2021) - [i11]Zijie J. Wang, Robert Turko, Duen Horng Chau:
Dodrio: Exploring Transformer Models with Interactive Visualization. CoRR abs/2103.14625 (2021) - [i10]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
- [c5]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 - [c4]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 - [c3]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 - [c2]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 - [c1]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 - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]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) - [i1]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)
Coauthor Index
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