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Greetings! Im Zhi-ning LIU (刘芷宁) Greetings! I'm Zhi-ning LIU (刘芷宁) 🍻 你好! Hello! 안녕하세요! こんにちは! Здравствуй! Bonjour! Guten Tag! Hola! Ciao! السلام عليكم! I’m a Ph D candidate at University of Illinois Urbana-Champaign (UIUC), working with the very nice Prof Hanghang Tong
Publications - Zhi-ning LIU (刘芷宁) 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)
ZHINING LIU Zhining Liu*, ie-Yan Liu Web-based Long-term Spine Treatment Outcome orecasting In 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining [Paper] Jiang Bian UADB: Unsupervised Anomaly Detect on Booster In IEEE 39th International Conference on Data Engineering ( CDE), 2023 [P ghang Tong A Survey of
教育背景 - Zhi-ning LIU “Self-paced Ensemble for Highly Imbalanced Massive Data Classification” Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang and Tie-Yan Liu, in 36th IEEE International Conference on Data Engineering (ICDE’20)
CV Résumé - Zhi-ning LIU (刘芷宁) CV Résumé PDF: [CV Résumé] Education Ph D in Computer Science, University of Illinois at Urbana-Champaign, 2022 - present @Department of Computer Science Supervisor: Prof Hanghang Tong M Eng in Computer Science, Jilin University, 2019 - 2022 @School of Artificial Intelligence Supervisor: Prof Yi Chang B Sc in Computer Science, Jilin University, 2015 - 2019 @School of Computer
Blog Posts - Zhi-ning LIU (刘芷宁) Blog Posts Please refer to my Zhihu (知乎) account for latest updates Overview Thoughts Resources Collection of imbalanced learning papers, codes, frameworks, and libraries An overview of imbalanced learning in real-world practical applications: S01 An overview of imbalanced learning in real-world practical applications: S02 The influence of minority class examples on learning from
Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning Australia Email: jing jiang@uts edu au Cao and J Bian are with Microsoft Yi Chang is the corresponding author This work was mainly done while Z Liu, Z Wei and B Yu were studying at Jilin University Class distribution Inter-class imbalance Error distribution Intra-class imbalance
IMBENS: Ensemble Class-imbalanced Learning in Python - Zhi-ning LIU Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, and Tie-Yan Liu Self-paced ensemble for highly imbalanced massive data classification In 2020 IEEE 36th International Conference on Data Engineering (ICDE), pages 841–852 IEEE, 2020