Rethinking Deep Learning Techniques for Error Correction in Biometric Data Background With the rapid development of information technology, biometric data has become increasingly important in identity verification and secure storage. Traditional cryptography relies on uniformly distributed and precisely reproducible random strings. However, most re...

Research on Adaptive Middle-Modality Alignment Learning for Visible-Infrared Cross-Modality Learning Background and Problem Statement Driven by the needs of intelligent surveillance systems, visible-infrared person re-identification (VIReID) has gradually become a prominent research topic. This task aims to achieve around-the-clock person recogniti...

Background Introduction Stroke is one of the leading causes of death and disability worldwide, with the total number of stroke patients increasing globally due to population aging and urbanization. Although advances in treatment have reduced mortality rates, the number of survivors requiring rehabilitation has increased significantly. This is parti...

Time Synchronization of Motor-Related Cortical Potentials and Parieto-Frontocentral Connectivity in Bilateral Tasks of Stroke Patients Background In stroke rehabilitation research, functional connectivity (FC), motor-related cortical potentials (MRCP), and gait activities are common metrics related to rehabilitation outcomes. Although these have be...

Research Report on Hybrid Integrated Ultra-Narrow Linewidth Self-Injection Locking 780nm Laser Background In modern technology, narrow linewidth lasers play an essential role in various applications, including classical and quantum sensing, ion trap systems, positioning/navigation/timing systems, optical clocks, and microwave frequency synthesizers...