Addressing the Extreme Cold-Start Problem in Group Recommendation. - Linxin Guo; Yinghui Tao; Min Gao 001; Junliang Yu; Liang Zhao; Wentao Li 001 (CoRR, 2022)

What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy. - Hongwei Zhou; Min Gao 001; Zongwei Wang 002; Linxin Guo; Yinghui Tao; Wentao Li 001 (ICTAI, 2023)

A heterogeneous multi-relations-based method for knowledge-intensive service recommendation. - Mei Long; Xu Wang; Peiji Liu; Yinghui Tao; Min Gao 001; Guangzhu Tan; Biyu Yang (Comput. Ind. Eng., 2023)

Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. - Yinghui Tao; Min Gao 001; Junliang Yu; Zongwei Wang 002; Qingyu Xiong; Xu Wang (IEEE Trans. Comput. Soc. Syst., 2023)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. - Linxin Guo; Yaochen Zhu; Min Gao 001; Yinghui Tao; Junliang Yu; Chen Chen 022 (KDD, 2024)