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Zhining Liu
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Self-paced ensemble for highly imbalanced massive data classification
Z Liu, W Cao, Z Gao, J Bian, H Chen, Y Chang, TY Liu
2020 IEEE 36th international conference on data engineering (ICDE), 841-852, 2020
1982020
MESA: boost ensemble imbalanced learning with meta-sampler
Z Liu, P Wei, J Jiang, W Cao, J Bian, Y Chang
Advances in neural information processing systems 33, 14463-14474, 2020
812020
A survey of explainable graph neural networks for cyber malware analysis
D Warmsley, A Waagen, J Xu, Z Liu, H Tong
2022 IEEE International Conference on Big Data (Big Data), 2932-2939, 2022
152022
Taming over-smoothing representation on heterophilic graphs
K Guo, X Cao, Z Liu, Y Chang
Information Sciences 647, 119463, 2023
132023
Handling inter-class and intra-class imbalance in class-imbalanced learning
Z Liu, P Wei, Z Wei, B Yu, J Jiang, W Cao, J Bian, Y Chang
arXiv preprint arXiv:2111.12791, 2021
122021
IMBENS: Ensemble class-imbalanced learning in Python
Z Liu, J Kang, H Tong, Y Chang
arXiv preprint arXiv:2111.12776, 2021
122021
Hierarchical multi-marginal optimal transport for network alignment
Z Zeng, B Du, S Zhang, Y Xia, Z Liu, H Tong
Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16660 …, 2024
112024
Class-Imbalanced Graph Learning without Class Rebalancing
Z Liu, R Qiu, Z Zeng, H Yoo, D Zhou, Z Xu, Y Zhu, K Weldemariam, J He, ...
Forty-first International Conference on Machine Learning, 2024
9*2024
Ensuring user-side fairness in dynamic recommender systems
H Yoo, Z Zeng, J Kang, R Qiu, D Zhou, Z Liu, F Wang, C Xu, E Chan, ...
Proceedings of the ACM on Web Conference 2024, 3667-3678, 2024
72024
Uadb: Unsupervised anomaly detection booster
H Ye, Z Liu, X Shen, W Cao, S Zheng, X Gui, H Zhang, Y Chang, J Bian
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2593-2606, 2023
52023
Graph Mixup on Approximate Gromov–Wasserstein Geodesics
Z Zeng, R Qiu, Z Xu, Z Liu, Y Yan, T Wei, L Ying, J He, H Tong
Forty-first International Conference on Machine Learning, 0
4
Group Fairness via Group Consensus
E Chan, Z Liu, R Qiu, Y Zhang, R Maciejewski, H Tong
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 1788-1808, 2024
32024
Web-based long-term spine treatment outcome forecasting
H Ye, Z Liu, W Cao, AM Amiri, J Bian, Y Chang, JD Lurie, J Weinstein, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
22023
Backtime: Backdoor attacks on multivariate time series forecasting
X Lin, Z Liu, D Fu, R Qiu, H Tong
arXiv preprint arXiv:2410.02195, 2024
12024
AIM: Attributing, Interpreting, Mitigating Data Unfairness
Z Liu, R Qiu, Z Zeng, Y Zhu, H Hamann, H Tong
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
12024
WAPITI: A Watermark for Finetuned Open-Source LLMs
L Chen, R Qiu, S Yuan, Z Liu, T Wei, H Yoo, Z Zeng, D Yang, H Tong
arXiv preprint arXiv:2410.06467, 2024
2024
AdaRC: Mitigating Graph Structure Shifts during Test-Time
W Bao, Z Zeng, Z Liu, H Tong, J He
arXiv preprint arXiv:2410.06976, 2024
2024
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