Dr. Xinyu Chen is a Postdoctoral Associate at MIT, working with Prof. Jinhua Zhao on data-driven machine learning challenges.
He is involved in the M3S and DOE projects. He received his Ph.D. from the University of Montreal, supported by the IVADO PhD Excellence Scholarship.
His research focuses on developing interpretable machine learning algorithms for spatiotemporal and social science data, with applications in mobility, transportation, climate, energy, and trade.
His work has been published in leading journals in data science, machine learning, and transportation.
Year of Publication:
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
2025
Publication Type:
Journal
Status:
Published
Authors:
Xinyu Chen (MIT), Dingyi Zhuang (MIT), HanQin Cai (University of Central Florida), Shenhao Wang (UF), Jinhua Zhao (MIT)
Year of Publication:
Venue:
IEEE Transactions on Knowledge and Data Engineering
2025
Publication Type:
Journal
Status:
Published
Authors:
Xinyu Chen (MIT), HanQin Cai (University of Central Florida), Fuqiang Liu (McGill University), Jinhua Zhao (MIT)