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Zi-Tong Lu

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Open access Sep 2026

Img2EEG: A Scalable and Interpretable Encoding Framework for Simulating Human EEG Responses to Visual Inputs

Understanding how visual information processing unfolds over time requires models that not only predict neural responses but also expose the representations that support them and generalize beyond sampled stimulus spaces. Here we introduce Img2EEG, a participant-specific image-to-EEG encoding framework that integrates...

Zi-Tong Lu, Julie D. Golomb · 0 citations
#machine learning Conference Jun 2025

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists

This work presents AutoSDT, an automatic pipeline that collects high-quality coding tasks in real-world data-driven discovery workflows and is the only automatically collected and the largest open dataset for data-driven scientific discovery.

Yifei Li, Hanane Nour Moussa, Ziru Chen et al. · 11 citations · ⚡1

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