Yijun Wang

Dr. Yijun Wang is a researcher affiliated with the Chinese Academy of Sciences, State Key Laboratory on Integrated Optoelectronics, and Institute of Semiconductors in Beijing, China. His work spans multiple disciplines including quantum key distribution, brain-computer interfaces, and machine learning applications in cybersecurity and biomedical imaging.

• Key Research Areas: Quantum cryptography, Neural signal processing, Transformer-based models, Network security, and Digital health systems.

Recent publications highlight advancements in EEG authentication systems ²⁰²⁶, radar-based activity recognition ²⁰²⁵, and quantum communication security ²⁰²⁵. His work demonstrates interdisciplinary expertise bridging theoretical algorithms and practical engineering solutions.

Scientific contributions include:

• Developing attention mechanisms for image restoration ²⁰²⁵
• Creating reliability-enhanced BCIs via graph-driven fusion ²⁰²⁵
• Designing semi-supervised solvers for CAPTCHA breaking ²⁰²¹

Dr. Wang's collaborations appear across journals like Pattern Recognition, IEEE Transactions, and conferences including AAAI ²⁰²⁵, ICLR ²⁰²⁵, and EMBC ²⁰²³. Current projects integrate LLMs with digital phenotyping for hypertension management ²⁰²⁵ and explore self-taught reasoning mechanisms ²⁰²⁵.