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Knowledge-refined Denoising Network for Robust Recommendation


Apr 28, 2023
Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao

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Towards Explainable Collaborative Filtering with Taste Clusters Learning


Apr 27, 2023
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie

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* Accepted to WWW 2023 

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Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting


Oct 06, 2022
Le Zhao, Mingcai Chen, Yuntao Du, Haiyang Yang, Chongjun Wang

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Self-Guided Learning to Denoise for Robust Recommendation


Apr 14, 2022
Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang, Baihua Zheng

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* Accepted to SIGIR2022 

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HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation


Apr 11, 2022
Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng, Yunjun Gao

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* Accept to SIGIR2022 

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MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation


Feb 08, 2022
Yuntao Du, Xinjun Zhu, Lu Chen, Ziquan Fang, Yunjun Gao

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* TKDE 2022 Under review 

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ST2Vec: Spatio-Temporal Trajectory Similarity Learning in Road Networks


Dec 17, 2021
Ziquan Fang, Yuntao Du, Xinjun Zhu, Lu Chen, Yunjun Gao, Christian S. Jensen

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Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise


Dec 06, 2021
Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang

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SMS: An Efficient Source Model Selection Framework for Model Reuse


Oct 18, 2021
Minjun Zhao, Lu Chen, Keyu Yang, Yuntao Du, Yunjun Gao

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