Predicting User Preferences via Heterogeneous Information Network and Metric Learning. - Xiaotong Li; Yan Tang; Yuan Yuan 024; Yingpei Chen (KSEM, 2021)

Interval estimation for inverse Gaussian distribution. - Xiaofei Wang; Bing Xing Wang; Xin Pan; Yunkai Hu; Yingpei Chen; Junxing Zhou (Qual. Reliab. Eng. Int., 2021)

Attentive Capsule Graph Neural Networks for Session-Based Recommendation. - Yingpei Chen; Yan Tang (KSEM (1), 2022)

MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation. - Yuan Yuan 024; Yan Tang; Luomin Du; Yingpei Chen (KSEM (1), 2022)

MAGNN-GC: Multi-head Attentive Graph Neural Networks with Global Context for Session-Based Recommendation. - Yingpei Chen; Yan Tang; Peihao Ding; Xiaobing Li (KSEM (3), 2023)

DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound. - Peihao Ding; Yan Tang; Yingpei Chen; Xiaobing Li (KSEM (1), 2023)

Attention-Enhanced Graph Neural Networks With Global Context for Session-Based Recommendation. - Yingpei Chen; Yan Tang; Yuan Yuan 024 (IEEE Access, 2023)