Zijie J. Wang | DeepAI

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∙ 06/15/2023

WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings

Machine learning models often learn latent embedding representations tha...

0 Zijie J. Wang, et al. ∙

∙ 05/04/2023

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

Computational notebooks such as Jupyter Notebook have become data scient...

0 Zijie J. Wang, et al. ∙

∙ 05/04/2023

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

Diffusion-based generative models' impressive ability to create convinci...

5 Seongmin Lee, et al. ∙

∙ 04/12/2023

Angler: Helping Machine Translation Practitioners Prioritize Model Improvements

Machine learning (ML) models can fail in unexpected ways in the real wor...

0 Samantha Robertson, et al. ∙

∙ 03/29/2023

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

We present Queer in AI as a case study for community-led participatory d...

5 Organizers Of Queer in AI, et al. ∙

∙ 03/16/2023

WebSHAP: Towards Explaining Any Machine Learning Models Anywhere

As machine learning (ML) is increasingly integrated into our everyday We...

0 Zijie J. Wang, et al. ∙

∙ 02/27/2023

GAM Coach: Towards Interactive and User-centered Algorithmic Recourse

Machine learning (ML) recourse techniques are increasingly used in high-...

0 Zijie J. Wang, et al. ∙

∙ 10/26/2022

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

With recent advancements in diffusion models, users can generate high-qu...

0 Zijie J. Wang, et al. ∙

∙ 10/01/2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity

As the information on the Internet continues growing exponentially, unde...

0 Seongmin Lee, et al. ∙

∙ 09/19/2022

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization

Given thousands of equally accurate machine learning (ML) models, how ca...

6 Zijie J. Wang, et al. ∙

∙ 06/30/2022

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

Machine learning (ML) interpretability techniques can reveal undesirable...

0 Zijie J. Wang, et al. ∙

∙ 06/25/2022

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

As machine learning (ML) systems become increasingly widespread, it is n...

0 David Munechika, et al. ∙

∙ 05/19/2022

Overcoming Language Disparity in Online Content Classification with Multimodal Learning

Advances in Natural Language Processing (NLP) have revolutionized the wa...

11 Gaurav Verma, et al. ∙

∙ 05/08/2022

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

How can we develop visual analytics (VA) tools that can be easily adopte...

0 Zijie J. Wang, et al. ∙

∙ 04/12/2022

VisCUIT: Visual Auditor for Bias in CNN Image Classifier

CNN image classifiers are widely used, thanks to their efficiency and ac...

0 Seongmin Lee, et al. ∙

∙ 02/22/2022

StickyLand: Breaking the Linear Presentation of Computational Notebooks

How can we better organize code in computational notebooks? Notebooks ha...

0 Zijie J. Wang, et al. ∙

∙ 12/06/2021

GAM Changer: Editing Generalized Additive Models with Interactive Visualization

Recent strides in interpretable machine learning (ML) research reveal th...

0 Zijie J. Wang, et al. ∙

∙ 03/26/2021

Dodrio: Exploring Transformer Models with Interactive Visualization

Why do large pre-trained transformer-based models perform so well across...

0 Zijie J. Wang, et al. ∙

∙ 03/06/2021

Putting Humans in the Natural Language Processing Loop: A Survey

How can we design Natural Language Processing (NLP) systems that learn f...

0 Zijie J. Wang, et al. ∙

∙ 01/26/2021

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

Skeleton-based human action recognition technologies are increasingly us...

0 Haekyu Park, et al. ∙

∙ 10/22/2020

A Comparative Analysis of Industry Human-AI Interaction Guidelines

With the recent release of AI interaction guidelines from Apple, Google,...

0 Austin P. Wright, et al. ∙

∙ 09/05/2020

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks

Deep neural networks (DNNs) are now commonly used in many domains. Howev...

0 Nilaksh Das, et al. ∙

∙ 08/31/2020

Mapping Researchers with PeopleMap

Discovering research expertise at universities can be a difficult task. ...

0 Jon Saad-Falcon, et al. ∙

∙ 08/26/2020

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

Graph data have become increasingly common. Visualizing them helps peopl...

0 Siwei Li, et al. ∙

∙ 06/10/2020

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

Discovering research expertise at institutions can be a difficult task. ...

0 Jon Saad-Falcon, et al. ∙

∙ 04/30/2020

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

Deep learning's great success motivates many practitioners and students ...

60 Zijie J. Wang, et al. ∙

∙ 01/21/2020

Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning

Deep neural networks (DNNs) are increasingly powering high-stakes applic...

33 Nilaksh Das, et al. ∙

∙ 01/07/2020

CNN 101: Interactive Visual Learning for Convolutional Neural Networks

The success of deep learning solving previously-thought hard problems ha...

27 Zijie J. Wang, et al. ∙

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