Publications
See full list at Google Scholar.
"UADB: Unsupervised Anomaly Detection Booster" Zhining Liu*, Hangting Ye*, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian. In 39th IEEE International Conference on Data Engineering (ICDE 2023) [PDF] [Github] | |
"MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler", Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, and Yi Chang*, in 34th Conference on Neural Information Processing Systems (NeurIPS 2020). [PDF] [arXiv] [Video] [Zhihu/知乎] [Github] [bibtex] | |
"Self-paced Ensemble for Highly Imbalanced Massive Data Classification", Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu, in 36th IEEE International Conference on Data Engineering (ICDE 2020). [PDF] [arXiv] [Video(bilibili)] [Slides] [Zhihu/知乎] [Github] [PyPI] [bibtex] | |
"IMBENS: Ensemble Class-imbalanced Learning in Python", Zhining Liu, et al. Preprint. [PDF] [arXiv] [Zhihu/知乎] [Github] [Documentation] [Example Gallery] [PyPI] [bibtex] |