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Min Gao

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Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing

Feb 04, 2024
Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo, Yinhua Zhu, Xiong Xiao, Yi Luo

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MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation

Jan 16, 2024
Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin

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Poisoning Attacks against Recommender Systems: A Survey

Jan 14, 2024
Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia Sadiq

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Poisoning Attacks Against Contrastive Recommender Systems

Nov 30, 2023
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq

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Emulating Reader Behaviors for Fake News Detection

Jun 27, 2023
Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang

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Debiasing Recommendation by Learning Identifiable Latent Confounders

Feb 10, 2023
Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo

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Quick Graph Conversion for Robust Recommendation

Oct 19, 2022
Zongwei Wang, Min Gao, Wentao Li

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Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles

Jun 23, 2022
Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li

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Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation

Mar 08, 2022
Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang

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