Lecture Notes

  1. Stanford University, CS 131 Computer Vision: Foundations and Applications.

Personal Project

  1. Personal blog website BILLBEATTHEPEAT.github.io.

    • Based on Hexo framework and the Material theme.
    • Contains my resume and CV.
    • Contains my blog of notes, projects I am working on, papers I have read and some life details.

  2. Interesting things. Contains something I thought interesting and can be done by coding. They are:

    • Auto-color-filling for the Secret Garden
    • Recently researches, new models and implementations of Generative Adversarial Network (GAN)
    • Applying RNN to NLP - Char-RNN. Use the old lyrics of Eminem to generate some new lyrics.

  3. The summary of useful papers, functions, features and packages of python for EEG analysis.

Partly-public Project

  1. CIKM Analytic Cup 2017. Applied Machine Leanring models for short-term percipitation nowcasting problem.

    • Solve the short-term rainfall nowcasting problems with radar echo data/picture.
    • Contains picture data preprocessing and visualization.
    • Extracted differencial feature, SIFT feature, trajectory feature from the original data.
    • Applied combined XGBoost model, LightGBM, LSTM and convLSTM network to deal with the spatio-temporal data.

  2. 2017 PHM Challenge Competition.

  3. Emotion Recognition Using EEG singals