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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

When the Chain Breaks: Interactive Diagnosis of LLM Chain-of-Thought Reasoning Errors

Published in Computer Graphics Forum, Nottingham, UK, 2026

ReasonDiag is an interactive visual analytics system for diagnosing factual and logical errors in LLM Chain-of-Thought reasoning traces.

Recommended citation: Chen, S., Sritharan, N., Wen, X., Zhang, C., Wang, X., & Wang, Y. (2026). When the Chain Breaks: Interactive Diagnosis of LLM Chain-of-Thought Reasoning Errors. Computer Graphics Forum, e70439.
Download Paper | Download Slides

SemiConLens: Visual Analytics for 2D Semiconductor Discovery

Published in Computer Graphics Forum, Nottingham, UK, 2026

SemiConLens combines machine learning and visual analytics to support reliable discovery of 2D semiconductor candidates.

Recommended citation: Athapaththu, K., Chen, S., Fang, Y., Mitra, S., Ang, Y. S., & Wang, Y. (2026). SemiConLens: Visual Analytics for 2D Semiconductor Discovery. Computer Graphics Forum, e70455.
Download Paper | Download Slides

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