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xianglinyang/README.md

Hi there 👋

I'm now a fourth-year PhD candidate at the National University of Singapore supervised by Prof. Dong Jin Song.

My research focuses on robust and trustworthy machine learning techniques, emphasizing understanding, debugging, and ensuring the behavior of machine learning models. I've particularly created a visual interactive system that vividly depicts the internal evolution of deep neural networks, allowing for the inspection of ML pipelines and the identification of potential issues.

My research is always evolving, and I'm always looking for new perspectives and collaboration opportunities. Please feel free to contact me if you're interested in connecting.

Please see my homepage for my recent activities!

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  1. DeepVisualInsight DeepVisualInsight Public

    DeepVisualInsight (DVI) is a time-travelling visualization solution for how the classification boundaries of a learned model is trained in two-dimensional space.

    Jupyter Notebook 37 3

  2. TimeVis TimeVis Public

    Official source code for IJCAI 2022 Paper: Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training

    Jupyter Notebook 8 2

  3. DeepDebugger DeepDebugger Public

    Official source code for ESEC/FSE 2023 Paper: DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers

    Jupyter Notebook 7 5

  4. SentryCam SentryCam Public

    A real-time visualization for monitoring the training of DNNs.

    Jupyter Notebook