Xinyu Chen

awesome-latex-drawing. Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

latex-cookbook. LaTeX论文写作教程 (清华大学出版社)

transdim. Machine learning for transportation data imputation and prediction.

Tensor4ML. Tensor decomposition for machine learning (w/ Python implementation)

academic-drawing. Providing codes (including Matlab and Python) for visualizing numerical experiment results.

tensor-book. 张量计算系列教程 (Tensor Computations Tutorials)

awesome-beamer. Creating presentation slides by using Beamer in LaTeX.

tracebase. Temporal matrix factorization for sparse traffic time series forecasting.

integers. Interpretable time series autoregression for periodicity quantification

geotensor. Geometric low-rank tensor completion for color image inpainting.

vars. Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)

LCR. Laplacian convolutional representation for traffic time series imputation. (IEEE TKDE'24)

autoregressive-tensor. Low-rank autoregressive tensor completion for spatiotemporal traffic data imputation. (IEEE TITS'22)

fluid-inpainting. Inpainting Fluid Dynamics with Tensor Decomposition (NumPy). Blog post: https://medium.com/p/d84065fead4d

tensor_completion. Low-rank tensor completion algorithm - HaLRTC.

visual-spatial-data. Visualizing spatial data with Python

mob4cast. Multidimensional time series prediction with passenger/taxi flow data sets.

climate-tensor. Spatiotemporal climate variable data and their visualization.

xinychen.github.io. Personal website

nu-comp. Course: Applied Numerical Computing

conjugate-gradient. Some simple examples for showing how does conjugate gradient method work on the system of linear equations. Blog post: https://medium.com/p/7f16cbae18a3

TensorPi. Low-rank tensor learning with PyTorch.

xinychen.

fluid-forecasting. Forecasting fluid dynamics with temporal matrix factorization in the presence of missing values.

dynamic-tensors. Dynamic autoregressive tensor factorization for pattern discovery of spatiotemporal systems

ts-conv. Time series convolution. Website: https://spatiotemporal-data.github.io/posts/ts_conv

tensor-var. Kronecker product decomposition/approximation.

cycling. Understanding urban mobility patterns of cycling with bikeshare data.