6 papers
RAMamba-Net: A Reliability-Aware and Mamba-Based Multimodal Fusion Network for Auditory Attention Detection
Xingyi He, Ziwei Wang, Dongrui Wu
Auditory attention decoding (AAD) identifies the attended speaker from physiological signals, supporting neuro-steered hearing devices and natural human-machine interaction. Electr…
Exploring Diffusion Transformers for Cross-Modal Augmentation in Multimodal Brain State Decoding
Ziwei Wang, Xingyi He, Hongbin Wang +3
Multimodal brain state decoding has largely focused on fusing paired modalities for prediction, but has rarely explored how their correspondence can be further exploited to enrich…
Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions
Ziwei Wang, Zhentao He, Xingyi He +6
Deep learning has achieved transformative performance across diverse domains, largely driven by large-scale and high-quality training data. In contrast, the development of brain-co…
Generate, Transfer, Adapt: Learning Functional Dexterous Grasping from a Single Human Demonstration
Xingyi He, Adhitya Polavaram, Yunhao Cao +4
Functional grasping with dexterous robotic hands is a key capability for enabling tool use and complex manipulation, yet progress has been constrained by two persistent bottlenecks…
Correspondence-Oriented Imitation Learning: Flexible Visuomotor Control with 3D Conditioning
Yunhao Cao, Zubin Bhaumik, Jessie Jia +2
We introduce Correspondence-Oriented Imitation Learning (COIL), a conditional policy learning framework for visuomotor control with a flexible task representation in 3D. At the cor…
DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding
Ziwei Wang, Hongbin Wang, Tianwang Jia +3
Electroencephalography (EEG)-based brain-computer interfaces (BCIs) transform spontaneous/evoked neural activity into control commands for external communication. While convolution…