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😎:

• 🌏 Personal Page: https://zhiningliu.com
• 🎓 Google Scholar: https://scholar.google.com/citations?user=5WORAUQAAAAJ
• 💼 Linkedin: https://www.linkedin.com/in/zhiningliu
• 🍻 知乎/Zhihu: https://www.zhihu.com/people/liu-zhi-zhu-14
• 🎮 Steam: https://steamcommunity.com/id/zhiningliu1998
• 📬 Email me at: [email protected]

🛸Featured Projects
⚒️IMBENS: class-imbalanced ensemble learning in Python [Python Library] [PDF] [Documentation] [Gallery] [PyPI] [Changelog] [Zhihu/知乎]
🚀BAT: Boost Class-imbalanced Node Classification with <10 lines of Code [ICML'24] [PDF] [arXiv] [Github] [Zhihu/知乎]
⚖️MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler [NeurIPS'20] [PDF] [arXiv] [Video] [Zhihu/知乎]
⚖️Self-paced Ensemble for Highly Imbalanced Massive Data Classification [ICDE'20] [PDF] [arXiv] [Video] [Slides] [Zhihu/知乎]
😎AwesomeIL: a curated list across all imbalanced/long-tailed learning topics [Awesome] [English] [Chinese/中文] [Zhihu/知乎]
😎Awesome Machine Learning Resources [Awesome] [English] [Chinese/中文] [Zhihu/知乎]

Github Stats