Zhining Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Knowledge From Domain Experts

Class Imbalance

Unsupervised Anomaly Detection

Top Venues

Publications

Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong
Hierarchical Multi-Marginal Optimal Transport for Network Alignment. AAAI (2024)
Eunice Chan, Zhining Liu, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong
Group Fairness via Group Consensus. FAccT (2024)
Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong
Ensuring User-side Fairness in Dynamic Recommender Systems. WWW (2024)
Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
AIM: Attributing, Interpreting, Mitigating Data Unfairness. CoRR (2024)
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
UADB: Unsupervised Anomaly Detection Booster. ICDE (2023)
Kai Guo, Xiaofeng Cao, Zhining Liu, Yi Chang
Taming over-smoothing representation on heterophilic graphs. Inf. Sci. 647 (2023)
Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
Web-based Long-term Spine Treatment Outcome Forecasting. KDD (2023)
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
UADB: Unsupervised Anomaly Detection Booster. CoRR (2023)
Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning. AACL/IJCNLP (1) (2022)
Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang
IMBENS: Ensemble Class-imbalanced Learning in Python. CoRR (2021)
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. CoRR (2021)
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. CoRR (2020)
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. NeurIPS (2020)
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. ICDE (2020)
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. CoRR (2019)
Zhining Liu, Zhi-hao Wang, David Leo, Xia-Qing Liu, Hong-Wei Zhao
QUADO: An autonomous recharge system for quadcopter. CIS/RAM (2017)