Sicheng Dai

2 accepted papers

2026

Autoregressive Visual Decoding from EEG Signals

Sicheng Dai, Hongwang Xiao, Shan Yu, Qiwei Ye

ICLR 2026poster

Electroencephalogram (EEG) signals have become a popular medium for decoding visual information due to their cost-effectiveness and high temporal resolution. However, current approaches face significant challenges in bridging the modality gap between EEG and image data. These methods typically rely…

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2026

Energy-based Autoregressive Generation for Neural Population Dynamics

Ningling Ge, Sicheng Dai, Yu Zhu, Shan Yu

AAAI 2026technical

Understanding brain function represents a fundamental goal in neuroscience, with critical implications for therapeutic interventions and neural engineering applications. Computational modeling provides a quantitative framework for accelerating this understanding, but faces a fundamental trade-off be

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