About

Junyi Ye is an Assistant Professor in the School of Computing, College of Science and Mathematics, at Montclair State University (faculty profile). His research interests lie at the intersection of large language models, graph neural networks, time series analysis, and computer vision. He develops AI frameworks for solving real-world, high-impact problems, including privacy-preserving information retrieval, financial modeling, and explainable decision-making systems. He is particularly interested in the creative and interpretive capabilities of AI, with applications spanning finance, healthcare, and decision support.

Junyi received a Ph.D. and an M.S. in Computer Science from the New Jersey Institute of Technology (NJIT), where he was advised by Distinguished Professor Guiling (Grace) Wang and affiliated with the NJIT Fintech Lab and the Center for AI Research. He also holds an M.S. in Optics from Shanghai University, where he studied under Professor Ye Dai.