Zijie J. Wang

Orcid: 0000-0003-4360-1423

According to our database1, Zijie J. Wang authored at least 45 papers between 2020 and 2024.

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Bibliography

2024
VG: Automatic Grading of D3 Visualizations.
IEEE Trans. Vis. Comput. Graph., January, 2024

Transformer Explainer: Interactive Learning of Text-Generative Models.
CoRR, 2024

LLM Attributor: Interactive Visual Attribution for LLM Generation.
CoRR, 2024

Wordflow: Social Prompt Engineering for Large Language Models.
CoRR, 2024

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.
Proceedings of the IEEE Visualization and Visual Analytics, 2024

MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Interactive Visual Learning for Stable Diffusion.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Revamp: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere.
Dataset, February, 2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

VisGrader: Automatic Grading of D3 Visualizations.
CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.
CoRR, 2023

WebSHAP: Towards Explaining Any Machine Learning Models Anywhere.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023


GAM Coach: Towards Interactive and User-centered Algorithmic Recourse.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Angler: Helping Machine Translation Practitioners Prioritize Model Improvements.
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.
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.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
Explaining Website Reliability by Visualizing Hyperlink Connectivity.
CoRR, 2022

NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics.
CoRR, 2022

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values.
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.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

VIsCUIT: Visual Auditor for Bias in CNN Image Classifier.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

StickyLand: Breaking the Linear Presentation of Computational Notebooks.
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.
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.
IEEE Trans. Vis. Comput. Graph., 2021

GAM Changer: Editing Generalized Additive Models with Interactive Visualization.
CoRR, 2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
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CoRR, 2021

Putting Humans in the Natural Language Processing Loop: A Survey.
CoRR, 2021

Dodrio: Exploring Transformer Models with Interactive Visualization.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Comparative Analysis of Industry Human-AI Interaction Guidelines.
CoRR, 2020

Mapping Researchers with PeopleMap.
CoRR, 2020

PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing.
CoRR, 2020

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks.
Proceedings of the 31st IEEE Visualization Conference, 2020

Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers.
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.
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.
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.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020


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