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Achievement: Starstruckx3Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx3Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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@Western-OC2-Lab

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LiYangHart/README.md

Hello, I'm Dr. Li Yang!

My Personal Website


- 😄 I'm currently currently a Tenure-Track Assistant Professor in the Faculty of Business and IT at Ontario Tech University.
- 🌱 I completed my Ph.D. degree in Software Engineering - Electrical and Computer Engineering at Western University, Canada, in Aug 2022, as a Top-3 graduate student with excellent research.
- 👯 I've been working on automated machine learning algorithms (e.g., machine learning, deep learning, optimization, online learning, and concept drift adaptation methods) to solve various data analytics problems, such as network security, intrusion detection, anomaly detection, IoT data stream analytics, network traffic data analytics, time-series analytics, etc.
- 👯 I've also been working on the tutorials on applying automated and optimized machine learning algorithms to general data analytics tasks.
- 🌱 My paper and code publications have received more than 3,000 Google Scholar citations and 2,800 GitHub stars.

- PS: Below are the contributions of my personal GitHub account, not including my contributions to the organization account "Western OC2 Lab" and "ANTS OntarioTechU"

Contact-Info

Please feel free to contact me for any questions or cooperation opportunities. I'd be happy to help.

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  1. Hyperparameter-Optimization-of-Machine-Learning-Algorithms Hyperparameter-Optimization-of-Machine-Learning-Algorithms Public

    Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

    Jupyter Notebook 1.3k 300

  2. Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics Public

    Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

    Jupyter Notebook 623 111

  3. Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning Public

    Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

    Jupyter Notebook 424 113

  4. Western-OC2-Lab/Intrusion-Detection-System-Using-CNN-and-Transfer-Learning Western-OC2-Lab/Intrusion-Detection-System-Using-CNN-and-Transfer-Learning Public

    Code for intrusion detection system (IDS) development using CNN models and transfer learning

    Jupyter Notebook 142 36

  5. Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation Public

    Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework …

    Jupyter Notebook 205 44

  6. Western-OC2-Lab/MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation Western-OC2-Lab/MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation Public

    Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data S…

    Jupyter Notebook 31 8