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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
1492020
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, 2020
612020
Towards 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
https://arxiv.org/abs/2111.12791, 2021
8*2021
IMBENS: ensemble class-imbalanced learning in python
Z Liu, J Kang, H Tong, Y Chang
arXiv preprint arXiv:2111.12776, 2023
72023
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
72022
Taming over-smoothing representation on heterophilic graphs
K Guo, X Cao, Z Liu, Y Chang
Information Sciences 647, 119463, 2023
22023
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
Ensuring User-side Fairness in Dynamic Recommender Systems
H Yoo, Z Zeng, J Kang, Z Liu, D Zhou, F Wang, E Chan, H Tong
arXiv preprint arXiv:2308.15651, 2023
12023
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
12023
Topological Augmentation for Class-Imbalanced Node Classification
Z Liu, Z Zeng, R Qiu, H Yoo, D Zhou, Z Xu, Y Zhu, K Weldemariam, J He, ...
arXiv preprint arXiv:2308.14181, 2023
2023
CogKG: Unifying Symbolic and Continuous Knowledge Representations for Machine Reasoning
Z WEI, YUE WANG, J LI, Y GUO, Z LIU, E YU, YI CHANG
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