Yinghui Tao

According to our database, Yinghui Tao authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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

2024

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations.

Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation.

Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang

IEEE Trans. Comput. Soc. Syst., October, 2023

A heterogeneous multi-relations-based method for knowledge-intensive service recommendation.

Mei Long, Xu Wang, Peiji Liu, Yinghui Tao, Min Gao, Guangzhu Tan, Biyu Yang

Comput. Ind. Eng., July, 2023

What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy.

Hongwei Zhou, Min Gao, Zongwei Wang, Linxin Guo, Yinghui Tao, Wentao Li

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022

Addressing the Extreme Cold-Start Problem in Group Recommendation.

Linxin Guo, Yinghui Tao, Min Gao, Junliang Yu, Liang Zhao, Wentao Li

CoRR, 2022