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  • University of Illinois Urbana-Champaign
  • Champaign, IL, USA

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ZhiningLiu1998/README.md

Greetings! 👋 I'm Zhi-ning LIU (刘芷宁 in Chinese)

I'm a Ph.D. candidate at Department of Computer Science, University of Illinois at Urbana-Champaign. I'm interested in doing research and developing open-source softwares for unbiased, efficient, and robust learning from skewed data in real-world applications. My recent interest lies in graph data mining (ICML'24), class-imbalanced learning (ICML'24,NeurIPS'20,ICDE'20), and fairness-aware machine learning (KDD'24, FAccT'24).

Learn more about me😎:

🛸Featured Projects
⚒️IMBENS: class-imbalanced ensemble learning in Python [Python Library]
[PDF] [Documentation] [Gallery] [PyPI] [Changelog] [Zhihu/知乎]

GitHub stars GitHub forks
🚀BAT: Boost Class-imbalanced Node Classification with <10 lines of Code [ICML'24]
[PDF] [arXiv] [Github] [Zhihu/知乎]

GitHub stars GitHub forks
⚖️MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler [NeurIPS'20]
[PDF] [arXiv] [Video] [Zhihu/知乎]

GitHub stars GitHub forks
⚖️Self-paced Ensemble for Highly Imbalanced Massive Data Classification [ICDE'20]
[PDF] [arXiv] [Video] [Slides] [Zhihu/知乎]

GitHub stars GitHub forks
😎AwesomeIL: a curated list across all imbalanced/long-tailed learning topics [Awesome]
[English] [Chinese/中文] [Zhihu/知乎]

GitHub stars GitHub forks
😎Awesome Machine Learning Resources [Awesome]
[English] [Chinese/中文] [Zhihu/知乎]

GitHub stars GitHub forks
Github Stats

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  1. BAT BAT Public

    [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类

    Python 21 1

  2. imbalanced-ensemble imbalanced-ensemble Public

    🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

    Python 339 52

  3. self-paced-ensemble self-paced-ensemble Public

    [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架

    Python 253 49

  4. mesa mesa Public

    [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

    Jupyter Notebook 105 25

  5. awesome-imbalanced-learning awesome-imbalanced-learning Public

    😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库

    1.4k 226

  6. awesome-machine-learning-resources awesome-machine-learning-resources Public

    😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

    557 89