Jianwei Yin

Xinjiang Agricultural University

Jianwei Yin has made significant contributions to various fields of study, including computer vision, natural language processing, machine learning, and biomedical research. Their work on improving depression diagnosis using graph convolutional networks with attention mechanisms and plasma biomarkers, as well as developing adaptive parameter refining techniques for abstract interpretation and image analysis, has the potential to enhance major depressive disorder detection. Additionally, their research on post-training attribute unlearning in recommender systems and hijacking attacks against large language models highlights the importance of secure AI development. Furthermore, Yin's work on genome-wide identification and expression analysis of ref genes, prostaglandin E2's role in corneal epithelial cell apoptosis, and spatial architectures has contributed to our understanding of disease mechanisms and AI infrastructure development.