Yijia Ma — accepted AI-conference papers

2026

Beyond Detection: Exploring Evidence-based Multi-Agent Debate for Misinformation Intervention and Persuasion

Chen Han, Yijia Ma, Jin Tan, Wenzhen Zheng, Xijin Tang

AAAI 2026technical

Multi-agent debate (MAD) frameworks have emerged as promising approaches for misinformation detection by simulating adversarial reasoning. While prior work has focused on detection accuracy, the importance of helping users understand the reasoning behind factual judgments has been overlooked. The de

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2026

Let EEG Models Learn EEG

Yifan Wang, Yijia Ma, Wen Li, Chenyu You

ICML 2026poster

High-fidelity EEG generation is critical for alleviating data scarcity and addressing privacy constraints in large-scale neural modeling. Despite recent progress, most existing approaches formulate EEG generation via discrete denoising objectives, which inadequately reflect the inherently continuous…

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