A Spatio-temporal Recommender System for On-demand Cinemas. - Taofeng Xue; Beihong Jin; Beibei Li 001; Weiqing Wang 001; Qi Zhang; Sihua Tian (CIKM, 2019)

Spatial-Temporal Recommendation for On-demand Cinemas. - Taofeng Xue; Beihong Jin; Beibei Li 001; Kunchi Liu; Qi Zhang; Sihua Tian (DASFAA (3), 2019)

Cold-Start Recommendation for On-Demand Cinemas. - Beibei Li 001; Beihong Jin; Taofeng Xue; Kunchi Liu; Qi Zhang; Sihua Tian (ECML/PKDD (3), 2019)

An Affinity-Driven Relation Network for Figure Question Answering. - Jialong Zou; Guoli Wu; Taofeng Xue; Qingfeng Wu (ICME, 2020)

Feedback-Guided Attributed Graph Embedding for Relevant Video Recommendation. - Taofeng Xue; Xinzhou Dong; Wei Zhuo 002; Beihong Jin; He Chen; Wenhai Pan; Beibei Li 001; Xuejian Zhang (ECML/PKDD (4), 2020)

Detecting Anomalous Bus-Driving Behaviors from Trajectories. - Zhao-Yang Wang; Beihong Jin; Tingjian Ge; Taofeng Xue (J. Comput. Sci. Technol., 2020)

A Behavior-Aware Graph Convolution Network Model for Video Recommendation. - Wei Zhuo 002; Kunchi Liu; Taofeng Xue; Beihong Jin; Beibei Li 001; Xinzhou Dong; He Chen; Wenhai Pan; Xuejian Zhang; Shuo Zhou (APWeb/WAIM (2), 2021)

Sirius: Sequential Recommendation with Feature Augmented Graph Neural Networks. - Xinzhou Dong; Beihong Jin; Wei Zhuo 002; Beibei Li 001; Taofeng Xue (DASFAA (3), 2021)

Improving Sequential Recommendation with Attribute-Augmented Graph Neural Networks. - Xinzhou Dong; Beihong Jin; Wei Zhuo 002; Beibei Li 001; Taofeng Xue (PAKDD (2), 2021)

DDEN: A Heterogeneous Learning-to-Rank Approach with Deep Debiasing Experts Network. - Wenchao Xiu; Yiran Wang; Taofeng Xue; Kai Zhang; Qin Zhang; Zhonghuo Wu; Yifan Yang; Gong Zhang 007 (SIGIR, 2022)

Modeling user interactions by feature-augmented graph neural networks for recommendation. - Xinzhou Dong; Beihong Jin; Wei Zhuo 002; Beibei Li 001; Taofeng Xue; Jiageng Song (CCF Trans. Pervasive Comput. Interact., 2022)

Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction. - Taofeng Xue; Zhimin Lin; Zijian Zhang 008; Linsen Guo; Haoru Chen; Mengjiao Bao; Peng Yan (RecSys Challenge, 2024)