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Achievement: Starstruckx2Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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wangxb96/README.md

👋 Hi there! I'm wangxb

Google Scholar GitHub

I'm a researcher passionate about advancing AI, with a focus on machine learning, data mining, and optimization.

🚀 About Me

  • 🎓 AI Researcher
  • 🔬 Interests: Machine Learning, Feature Selection, Evolutionary Algorithms, LLMs
  • 💻 Tech Stack: Python, MATLAB, C++, PyTorch, Pandas, NumPy, Scikit-learn
  • 📊 GitHub Stats:

🔥 Featured Projects

  • RAG-QA-Generator: Automated RAG knowledge base management
  • Awesome-EdgeAI: Curated EdgeAI resources
  • EODE: Nature-inspired cancer screening
  • MEL: Multi-Task Evolutionary Learning for Feature Selection

🧠 Research Focus

  • Feature Selection & Engineering
  • Evolutionary Algorithms & Optimization
  • ML for Bioinformatics
  • Cancer Biomarker Identification
  • Nature-inspired Computation
  • Large Language Models

📚 Publications

Published in top conferences/journals including:

  • ICML
  • ACM Computing Surveys
  • IEEE/ACM TCBB
  • IEEE TKDE
  • Expert Systems With Applications
  • Knowledge-Based Systems

🤝 Connect with Me

Feel free to reach out for research discussions or collaboration ideas!

Pinned Loading

  1. SaWDE SaWDE Public

    Code of the paper：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection --[Knowledge-Based Systems 22]

    MATLAB 38 6

  2. RAG-QA-Generator RAG-QA-Generator Public

    RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。

    Python 202 23

  3. Awesome-EdgeAI Awesome-EdgeAI Public

    Resources of our survey paper "Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies"

    87 8

  4. MEL MEL Public

    Code for “MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection“--[IEEE Transactions on Knowledge and Data Engineering (TKDE 24)]

    MATLAB 13 2

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