Taofeng Xue

According to our database, Taofeng Xue authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction.

Taofeng Xue, Zhimin Lin, Zijian Zhang, Linsen Guo, Haoru Chen, Mengjiao Bao, Peng Yan

Proceedings of the Recommender Systems Challenge 2024, 2024

2022

Modeling user interactions by feature-augmented graph neural networks for recommendation.

Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue, Jiageng Song

CCF Trans. Pervasive Comput. Interact., 2022

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Improving Sequential Recommendation with Attribute-Augmented Graph Neural Networks.

Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Sirius: Sequential Recommendation with Feature Augmented Graph Neural Networks.

Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue

Proceedings of the Database Systems for Advanced Applications, 2021

A Behavior-Aware Graph Convolution Network Model for Video Recommendation.

Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020

Detecting Anomalous Bus-Driving Behaviors from Trajectories.

Zhao-Yang Wang, Beihong Jin, Tingjian Ge, Taofeng Xue

J. Comput. Sci. Technol., 2020

Feedback-Guided Attributed Graph Embedding for Relevant Video Recommendation.

Taofeng Xue, Xinzhou Dong, Wei Zhuo, Beihong Jin, He Chen, Wenhai Pan, Beibei Li, Xuejian Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

An Affinity-Driven Relation Network for Figure Question Answering.

Jialong Zou, Guoli Wu, Taofeng Xue, Qingfeng Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019

Cold-Start Recommendation for On-Demand Cinemas.

Beibei Li, Beihong Jin, Taofeng Xue, Kunchi Liu, Qi Zhang, Sihua Tian

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Spatial-Temporal Recommendation for On-demand Cinemas.

Taofeng Xue, Beihong Jin, Beibei Li, Kunchi Liu, Qi Zhang, Sihua Tian

Proceedings of the Database Systems for Advanced Applications, 2019

A Spatio-temporal Recommender System for On-demand Cinemas.

Taofeng Xue, Beihong Jin, Beibei Li, Weiqing Wang, Qi Zhang, Sihua Tian

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019