4 papers
Hierarchical Audio-Visual-Proprioceptive Fusion for Precise Robotic Manipulation
Siyuan Li, Jiani Lu, Yu Song +3
Existing robotic manipulation methods primarily rely on visual and proprioceptive observations, which may struggle to infer contact-related interaction states in partially observab…
Dense Feature Learning via Linear Structure Preservation in Medical Data
Yuanyun Zhang, Mingxuan Zhang, Siyuan Li +4
Deep learning models for medical data are typically trained using task specific objectives that encourage representations to collapse onto a small number of discriminative directio…
Neuro-MoBRE: Exploring Multi-subject Multi-task Intracranial Decoding via Explicit Heterogeneity Resolving
Di Wu, Yifei Jia, Siyuan Li +3
Neurophysiological decoding, fundamental to advancing brain-computer interface (BCI) technologies, has significantly benefited from recent advances in deep learning. However, exist…
Towards Unified Neural Decoding with Brain Functional Network Modeling
Di Wu, Linghao Bu, Yifei Jia +12
Recent achievements in implantable brain-computer interfaces (iBCIs) have demonstrated the potential to decode cognitive and motor behaviors with intracranial brain recordings; how…