Pengcheng Xue — accepted AI-conference papers

2026

CortiLife: A Unified Framework for Cortical Representation Learning across the Lifespan

Pengcheng Xue, Dong Nie, Jie Luo, Daoqiang Zhang, Xuyun Wen

ICLR 2026poster

The human cerebral cortex encodes rich neurobiological information that is essential for understanding brain development, aging, and disease. Although various cortical representation learning methods have been proposed, existing models are typically restricted to stage-specific cohorts and lack gene…

Cited by 0 Source ↗code ↗Scholar ↗

2025

Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling

Wentao Lu, Dong Nie, Pengcheng Xue, Zheng Cui, Piji Li, Daoqiang Zhang +1

NeurIPS 2025spotlight

Decoding natural language text from non-invasive brain signals, such as functional magnetic resonance imaging (fMRI), remains a central challenge in brain-computer interface research. While recent advances in large language models (LLMs) have enabled open-vocabulary fMRI-to-text decoding, existing f…

Cited by 0 Source ↗Scholar ↗