Laplacian convolutional representation for traffic time series imputation. (IEEE TKDE'24)
Repositories
xinychen Repositories
Some simple and intuitive examples for showing how does the Newton-Raphson algorithm work for finding the root of equations.
Tensor decomposition for machine learning (w/ Python implementation)
Low-rank tensor learning with PyTorch.
Providing codes (including Matlab and Python) for visualizing numerical experiment results.
Low-rank autoregressive tensor completion for spatiotemporal traffic data imputation. (IEEE TITS'22)
Creating presentation slides by using Beamer in LaTeX.
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Spatiotemporal climate variable data and their visualization.
Some simple examples for showing how does conjugate gradient method work on the system of linear equations. Blog post: https://medium.com/p/7f16cbae18a3
Understanding urban mobility patterns of cycling with bikeshare data.
Dynamic autoregressive tensor factorization for pattern discovery of spatiotemporal systems
Forecasting fluid dynamics with temporal matrix factorization in the presence of missing values.
Inpainting Fluid Dynamics with Tensor Decomposition (NumPy). Blog post: https://medium.com/p/d84065fead4d
Geometric low-rank tensor completion for color image inpainting.
Interpretable time series autoregression for periodicity quantification
LaTeX论文写作教程 (清华大学出版社)
Multidimensional time series prediction with passenger/taxi flow data sets.
Course: Applied Numerical Computing
Research correction.