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Haoxuan Li

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Debiased Collaborative Filtering with Kernel-Based Causal Balancing

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Apr 30, 2024
Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui

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Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

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Apr 30, 2024
Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He

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MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation

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Apr 30, 2024
Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang

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Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty

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Apr 09, 2024
Haoxuan Li, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Zhang Xiong

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Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

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Mar 21, 2024
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang

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Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects

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Mar 12, 2024
Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang

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A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

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Feb 27, 2024
Zhang Xiong, Haoxuan Li, Zhuang Liu, Zhuofan Chen, Hao Zhou, Wenge Rong, Yuanxin Ouyang

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CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation

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Feb 08, 2024
Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang

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FreDF: Learning to Forecast in Frequency Domain

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Feb 04, 2024
Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang, Sen Zhang, Yifei Yang, Xinggao Liu, Haoxuan Li, Dacheng Tao

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TransFR: Transferable Federated Recommendation with Pre-trained Language Models

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Feb 02, 2024
Honglei Zhang, He Liu, Haoxuan Li, Yidong Li

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