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From the 1 of 8 linked papers with an AI index.

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20242026
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8 papers

stat.ME2026

When Is a Conformal Guarantee Fair? Auditing Silent Subgroup Under-Coverage in Alzheimer's Disease Longitudinal Prediction

Lujia Zhong, Xinkai Wang, Shuo Huang +1

Longitudinal prediction of Alzheimer's disease biomarkers increasingly informs clinical decisions, and a forecast is only useful if it also reports how much to trust it. Conformal…

cs.LG2026

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings

Jingxiang Zhang, Lujia Zhong, Zijie Zhu +2

The paper evaluates TabPFN as a plug‑and‑play, training‑free classification head for frozen image, text, and audio encoders, showing it improves calibration (lower NLL and ECE) whi…

eess.IV2026

Dimension expansion for simulation-efficient nanophotonic neural networks

Shuo Huang, Mahsa Torfeh, Lujia Zhong +3

Inverse design of nanophotonic structures is challenging due to the large design space, nonlinear structure-response relationships, and the high computational cost of iterative ele…

eess.IV2026

A Surface-based Multimodal Framework for Multitask Analysis in Alzheimer's Disease

Shuo Huang, Jianwei Zhang, Lujia Zhong +4

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder, and longitudinal analysis is critical for early detection and effective intervention. Developing models capabl…

cs.CV2026

PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis

Lujia Zhong, Yihao Xia, Shuo Huang +2

Deep learning models in medical imaging typically operate as parametric memory, diagnosing patients by recalling fixed knowledge learned during training. This contrasts sharply wit…

cs.AI2026

NeuroAgent: LLM Agents for Multimodal Neuroimaging Analysis and Research

Lujia Zhong, Yihao Xia, Jianwei Zhang +4

Multimodal neuroimaging analysis often involves complex, modality-specific preprocessing workflows that require careful configuration, quality control, and coordination across hete…