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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
Class-Imbalanced Graph Learning without Class Rebalancing [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

Zhining Liu's Projects

auto_viml icon auto_viml

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

awesome-imbalanced-learning icon awesome-imbalanced-learning

😎 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

awesome-machine-learning-resources icon awesome-machine-learning-resources

😎 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。

bat icon bat

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

featurewiz icon featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

github-stats-transparent icon github-stats-transparent

Automatically generate summary GitHub statistics images for your profile using Actions, no server required

imbalanced-ensemble icon imbalanced-ensemble

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

lazytransform icon lazytransform

Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.

mesa icon mesa

[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

self-paced-ensemble icon self-paced-ensemble

[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

toba icon toba

Topological Augmentation for Class-Imbalanced Node Classification

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