Skip to content
View xinychen's full-sized avatar

Organizations

@transdim

Block or report xinychen

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
xinychen/README.md

Google Scholar Badge LinkedIn Medium

👋 I'm Xinyu Chen, now a Postdoctoral Associate at MIT (👉 visit MIT sites). Prior to joining MIT, I received PhD degree from University of Montreal in Canada.

Latest Publications

Latest Posts

  • 🔨 Time Series Convolution. A convolutional kernel approach for reinforcing the modeling of time series trends and interpreting temporal patterns, allowing one to leverage Fourier transforms and learn sparse representations. The interpretable machine learning models such as sparse regression unlock opportunities to better capture the long-term changes and temporal patterns of real-world time series.

Popular repositories Loading

  1. latex-cookbook latex-cookbook Public

    LaTeX论文写作教程 (清华大学出版社)

    Jupyter Notebook 1.4k 150

  2. awesome-latex-drawing awesome-latex-drawing Public

    Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

    TeX 1.3k 156

  3. transdim transdim Public

    Machine learning for transportation data imputation and prediction.

    Jupyter Notebook 1.2k 305

  4. Tensor4ML Tensor4ML Public

    Tensor decomposition for machine learning (w/ Python implementation)

    Jupyter Notebook 209 50

  5. academic-drawing academic-drawing Public

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

    MATLAB 203 39

  6. tensor-book tensor-book Public

    张量计算系列教程 (Tensor Computations Tutorials)

    104 9