Peihan Miao Source Confirmed

OverviewAI-generated summary

Peihan Miao contributes to cryptography, data security, and machine learning at John Brown University. Miao's research encompasses privacy-preserving technologies in data and advanced graph theory, including algorithm complexity within graphs. Recent work includes explorations of language-adaptive weight generation for multi-task visual grounding and language adaptive inference in referring expression comprehension. Miao's contributions also extend to cryptographic protocols, such as multi-party threshold private set intersection with sublinear communication, unidirectional updatable encryption, proxy re-encryption, and updatable private set intersection schemes.

Miao's current research is focused on multimodal machine learning applications.

Metrics

• h-index: 12
• Publications: 53
• Citations: 679