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Jing Han

2 papers indexed

arxivcs.AI2026-07-23

MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning

Tao Zhou, Jing Han, Lingyu Shu, Zixing Zhang

Self-supervised foundation models have recently shown strong potential for electroencephalogram (EEG)-based analysis. However, existing approaches struggle to capture the inherently multi-scale temporal structure of EEG signals, where local neural patterns and long-range dependen…

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crossrefAdvanced Functional Materials2026-05-31Cited by 1

Multimodal Perception and Machine Learning‐Empowered Human Machine Interfaces With Double‐Network Hydrogel Fibers

Yujue Yang, Minyu Qiu, Di Tan, Xinlong Liu, Junze Zhang, Ziyu He, et al.

ABSTRACT With the rapid development of intelligent technologies, human‐machine interfaces (HMIs) are increasingly integrated into modern society, enabling efficient communication between humans and robots and thus building intelligent living. Flexible sensors are key signal conve…

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