Xiyuan Jin — accepted AI-conference papers

2026

When and How to Adapt: Subject Shifts Detection and Prototype-Guided Correction for Online EEG Decoding

Shaoqi Zhang, Xiyuan Jin, Xiaojun Ning, Yilin Chen, Jing Wang

IJCAI 2026

Online EEG decoding is pivotal for real-world Brain-Computer Interfaces (BCIs) but confronts significant challenges arising from continuous distribution shifts, including both inter- and intra-subject variations. Existing Unsupervised Continual Domain Adaptation (UCDA) methods typically rely on rigi

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2025

From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs

Xiyuan Jin, Jing Wang, Ziwei Lin, Qianru Jia, Yuqing Huang, Xiaojun Ning +2

NeurIPS 2025poster

Medical time-series analysis differs fundamentally from general ones by requiring specialized domain knowledge to interpret complex signals and clinical context. Large language models (LLMs) hold great promise for augmenting medical time-series analysis by complementing raw series with rich contextu…

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