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