GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com โ€” LiYangHart - Overview

@LiYangHart LiYangHart Follow
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
@LiYangHart
LiYangHart
Follow
View LiYangHart's full-sized avatar

Li Yang, PhD LiYangHart

Follow
Assistant Professor at Ontario Tech University, Adjunct Research Professor at Western University
213 followers ยท 1 following
  • Ontario Tech University
  • Canada
  • 07:39 (UTC -05:00)
  • https://www.linkedin.com/in/li-yang-phd-65a190176/

Achievements

Achievement: Starstruckx3Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx3Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Organizations

@Western-OC2-Lab @ANTS-OntarioTechU
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
LiYangHart/README.md

Hello, I'm Dr. Li Yang!

My Personal Website


- ๐Ÿ˜„ I'm currently currently a Tenure-Track Assistant Professor in the Faculty of Business and IT at Ontario Tech University, and an Adjunct Research Professor at Western University.
- ๐Ÿ‘ฏ I'm included in Stanford University/Elsevier's List of the World's Top 2% Scientists for 2024 and 2025. I am ranked among the world's Top 0.3% of researchers in 'Networking & Telecommunications' in 2025, and 27th in Canada.
- ๐Ÿ‘ฏ I've been named by the IEEE Computer Society as one of the recipients of Computing's Top 30 Early Career Professionals for 2025! This esteemed group of rising stars earned this honor for their exceptional early-career achievements and role in driving advancements across the computing landscape.
- ๐Ÿ‘ฏ I've been named by Ontario Tech University as Early Career Research Chair in Cybersecurity for Business, and received the 2026 Ontario Tech University Research Excellence Award and FBIT Research Excellence Award.
- ๐ŸŒฑ 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.
- ๐Ÿ‘ฏ 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.
- ๐Ÿ‘ฏ I've also been working on the tutorials on applying automated and optimized machine learning algorithms to general data analytics tasks.
- ๐Ÿ‘ฏ I've also an Associate Editor of IEEE Transactions on Industrial Informatics (TII) and IEEE Transactions on Network and Service Management (TNSM).
- ๐ŸŒฑ My paper and code publications have received more than 7,000 Google Scholar citations and 3,000 GitHub stars (including my contributions to the organization accounts "Western OC2 Lab" and "ANTS OntarioTechU").

Google Scholar Impact GitHub Repository Impact

Contact-Info

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

  • Email: [email protected]
  • GitHub: LiYangHart
  • LinkedIn: Li Yang
  • Google Scholar: Li Yang
  • Researchgate: Li Yang
  • Personal Website: Li Yang

Pinned Loading

  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 303

  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 629 111

  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 602 162

  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 206 44

  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 โ€ฆ

    Jupyter Notebook 220 48

  6. Western-OC2-Lab/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security Western-OC2-Lab/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security Public

    This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis"โ€ฆ

    Jupyter Notebook 47 13

Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.

Uh oh!

There was an error while loading. Please reload this page.

You are visitor 01402503 โ€” GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800ร—600. No cookies required.