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😎:

• 🌏 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: zhining.liu@outlook.com

🛸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