Scholar
Xinyu Chen (陈新宇)
Google Scholar ID: mCrW04wAAAAJ
Postdoc, MIT
Citations & Impact
Citations
1,733
H-index
15
i10-index
15
Publications
20
Co-authors
21
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications: - Bayesian temporal factorization for multidimensional time series prediction (TPAMI 2022)
- - Forecasting urban traffic states with sparse data using Hankel temporal matrix factorization (IJOC 2024)
- - Forecasting sparse movement speed of urban road networks with nonstationary temporal matrix factorization (TS 2025)
- - Laplacian convolutional representation for traffic time series imputation (TKDE 2024)
- - Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression (TKDE 2024)
- - Dynamic autoregressive tensor factorization for pattern discovery of spatiotemporal systems (TPAMI 2025)
- - Correlating time series with interpretable convolutional kernels (TKDE 2025)
Research Experience
- Position: Postdoctoral Associate at MIT; Projects: Mens, Manus, and Machina (M3S) and Department of Energy (DOE) projects; Research Focus: Developing theoretical and interpretable machine learning methods for modeling spatiotemporal data and computational social science data.
Education
- Ph.D.: University of Montreal, Canada; Advisor information not provided
Background
- Research Interests: Data-driven machine learning in computational engineering; Professional Field: Theoretical and interpretable machine learning methods for modeling spatiotemporal data and computational social science data; Brief Introduction: Currently a Postdoctoral Associate at MIT, working with Prof. Jinhua Zhao.
Miscellany
- Email: chenxy346@gmail.com
