Hi, I'm Tiankai Xie 👋

I’m a postdoctoral researcher in the VADER Lab at Arizona State University , focusing on visualization and explainable AI. My work centers on visualizing high-dimensional loss functions to improve the transparency and reliability of machine learning models, particularly in scientific applications. By integrating principles from visual analytics and AI, I develop tools that help researchers and practitioners better understand complex model behaviors, aiming to make advanced AI techniques more interpretable, trustworthy, and applicable in scientific domains.

Latest posts

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Setting up Remote Server Development Environment

A guide to setup remote server development environment (Ubuntu LTS)

Recent projects

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FairRankVis: Visualizing Fairness in Ranking

A visual analytics tool for reasoning about fairness in ranking.
Visualizing the Impact of Graph Perturbations

A visual analytics tool for reasoning about the impact of graph perturbations.
Visualizations for Adversarial Machine Learning

A visual analytics tool for reasoning about the vulnerabilities of adversarial attacks.

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If you want to get in touch with me about something or just to say hi, reach out on social media or send me an email.

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