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)

RTAD-TP: Real-Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two-Parameter Estimation. - Qiyun Fan; Yan Tang; Xiaoming Ding; Qianglong Huangfu; Peihao Ding (KSEM (1), 2023)

Automated Test Case Generation Based on Path Structure Matrix and Mainfold-Inspired Search. - Caijie Guo; Yan Tang; Xiaobing Li; Peihao Ding (CSCWD, 2024)

Attribute-Enhanced Hypergraph Neural Networks for Session-based Recommendation. - Xiaobing Li; Yan Tang; Caijie Guo; Peihao Ding (IJCNN, 2024)

GC-DAWMAR: A Global-Local Framework for Long-Term Time Series Forecasting. - Peihao Ding; Yan Tang; Xiaoming Ding; Caijie Guo (KSEM (3), 2024)