Zhining Liu

According to our database, Zhining Liu authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

AIM: Attributing, Interpreting, Mitigating Data Unfairness.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong

CoRR, 2024

Ensuring User-side Fairness in Dynamic Recommender Systems.

Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong

Proceedings of the ACM on Web Conference 2024, 2024

Graph Mixup on Approximate Gromov-Wasserstein Geodesics.

Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Class-Imbalanced Graph Learning without Class Rebalancing.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Group Fairness via Group Consensus.

Eunice Chan, Zhining Liu, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Hierarchical Multi-Marginal Optimal Transport for Network Alignment.

Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Taming over-smoothing representation on heterophilic graphs.

Kai Guo, Xiaofeng Cao, Zhining Liu, Yi Chang

Inf. Sci., November, 2023

Ensuring User-side Fairness in Dynamic Recommender Systems.

Hyunsik Yoo, Zhichen Zeng, Jian Kang, Zhining Liu, David Zhou, Fei Wang, Eunice Chan, Hanghang Tong

CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.

Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

CoRR, 2023

Web-based Long-term Spine Treatment Outcome Forecasting.

Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

UADB: Unsupervised Anomaly Detection Booster.

Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning.

Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis.

Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.

Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

CoRR, 2021

IMBENS: Ensemble Class-imbalanced Learning in Python.

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

CoRR, 2021

2020

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.

Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-paced Ensemble for Highly Imbalanced Massive Data Classification.

Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2017

QUADO: An autonomous recharge system for quadcopter.

Zhining Liu, Zhi-hao Wang, David Leo, Xia-Qing Liu, Hong-Wei Zhao

Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017