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ZhiningLiu1998/README.md

Greetings! 👋 I'm Zhining Liu (刘芷宁)

I'm a Ph.D. candidate at University of Illinois Urbana-Champaign (UIUC), working with the very nice Prof. Hanghang Tong. Before joining UIUC, I received my B.S. and M.Eng. in Computer Science from Jilin University in 2019 and 2022, where I was fortunate to have Prof. Yi Chang as my advisor. I also worked as a research/applied scientist intern at Amazon and Microsoft Research.

I enjoy doing research (GoogleScholar) and developing open-source softwares (GitHub) for Data-centric Trustworthy AI/ML, my interests include but not limited to:

  • Large Language Model Factuality (ACL'25)
  • Graph & Time Series Data Mining (ICML'24, ICML'25)
  • Fairness-aware ML (KDD'24, FAccT'24)
  • Class-imbalanced Learning (ICML'24, ICDE'20)
  • Meta Ensemble Learning (ICML'25, NeurIPS'20)

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. SelfElicit SelfElicit Public

    [ACL'25 Main] SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence! | 让你的LLM更好地利用上下文文档：一个基于注意力的简单方案

    Jupyter Notebook 18

  2. TimeFuse TimeFuse Public

    [ICML'25] Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | 样本级别的自适应多模型集成时间序列预测

    Python 5 1

  3. imbalanced-ensemble imbalanced-ensemble Public

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

    Python 373 51

  4. 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

    1.5k 226

  5. 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。

    593 97

  6. 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 259 50