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Adversarial Learning for Incentive Optimization in Mobile Payment Marketing


Dec 28, 2021
Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu

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* Accept by 30th ACM International Conference on Information & Knowledge Management(CIKM2021) 

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


Nov 24, 2021
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

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* 14 pages, 4 tables, 11 figures 

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IMBENS: Ensemble Class-imbalanced Learning in Python


Nov 24, 2021
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

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* 6 pages, 2 tables, 1 figure 

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MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler


Oct 17, 2020
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

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* Accepted by NeurIPS 2020 

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Self-paced Ensemble for Highly Imbalanced Massive Data Classification


Sep 10, 2019
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu

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Scalable attribute-aware network embedding with locality


Apr 30, 2018
Weiyi Liu, Zhining Liu, Toyotaro Suzumura, Guangmin Hu

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