A Study on Use of Hybrid Energy Storage System Along With Variable Filter Time Constant to Smooth DC Power Fluctuation in Microgrid. - Tiezhou Wu; Wenshan Yu; Linxin Guo (IEEE Access, 2019)

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)

Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders. - Linxin Guo; Shiqi Wang 018; Min Gao 001; Chongming Gao (CollaborateCom (3), 2023)

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)

Efficient Bi-Level Optimization for Recommendation Denoising. - Zongwei Wang 002; Min Gao 001; Wentao Li 001; Junliang Yu; Linxin Guo; Hongzhi Yin (KDD, 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)

LARGE: A leadership perception framework for group recommendation. - Dingyi Gan; Min Gao 001; Wentao Li 001; Zongwei Wang 002; Linxin Guo; Feng Jiang 006; Yuqi Song (Expert Syst. Appl., 2025)