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Yingpei Chen

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2023
[j2]
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Yingpei Chen, Yan Tang, Yuan Yuan:
Attention-Enhanced Graph Neural Networks With Global Context for Session-Based Recommendation. IEEE Access 11: 26237-26246 (2023)
[c5]
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Yingpei Chen, Yan Tang, Peihao Ding, Xiaobing Li:
MAGNN-GC: Multi-head Attentive Graph Neural Networks with Global Context for Session-Based Recommendation. KSEM (3) 2023: 39-53
[c4]
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  - conf/ksem/DingTCL23
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Peihao Ding, Yan Tang, Yingpei Chen, Xiaobing Li:
DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound. KSEM (1) 2023: 59-65
2022
[c3]
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  - conf/ksem/YuanTDC22
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Yuan Yuan, Yan Tang, Luomin Du, Yingpei Chen:
MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation. KSEM (1) 2022: 466-477
[c2]
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Yingpei Chen, Yan Tang:
Attentive Capsule Graph Neural Networks for Session-Based Recommendation. KSEM (1) 2022: 602-613
2021
[j1]
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  - journals/qre/WangWPHCZ21
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Xiaofei Wang, Bing Xing Wang, Xin Pan, Yunkai Hu, Yingpei Chen, Junxing Zhou:
Interval estimation for inverse Gaussian distribution. Qual. Reliab. Eng. Int. 37(5): 2263-2275 (2021)
[c1]
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  - conf/ksem/LiTYC21
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Xiaotong Li, Yan Tang, Yuan Yuan, Yingpei Chen:
Predicting User Preferences via Heterogeneous Information Network and Metric Learning. KSEM 2021: 656-665

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