Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning. - Hande Dong; Zhaolin Ding; Xiangnan He 001; Fuli Feng; Shuxian Bi (CoRR, 2020)

Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search. - Shuxian Bi; Chaozhuo Li; Xiao Han; Zheng Liu 011; Xing Xie 001; Haizhen Huang; Zengxuan Wen (EMNLP (Findings), 2021)

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. - Hande Dong; Jiawei Chen 007; Fuli Feng; Xiangnan He 001; Shuxian Bi; Zhaolin Ding; Peng Cui 001 (WWW, 2021)

Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality. - Chengchang Liu; Shuxian Bi; Luo Luo; John C. S. Lui (KDD, 2022)

Proactive Recommendation with Iterative Preference Guidance. - Shuxian Bi; Wenjie Wang 007; Hang Pan 006; Fuli Feng; Xiangnan He 001 (WWW (Companion Volume), 2024)

Incorporate LLMs with Influential Recommender System. - Mingze Wang; Shuxian Bi; Wenjie Wang 007; Chongming Gao; Yangyang Li; Fuli Feng (CoRR, 2024)

Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence. - Hang Pan 006; Shuxian Bi; Wenjie Wang 007; Haoxuan Li 001; Peng Wu 012; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery. - Shuxian Bi; Wenjie Wang 007; Moxin Li; Chongming Gao; Fuli Feng (PAKDD (7), 2025)

Leveraging LLMs for Influence Path Planning in Proactive Recommendation. - Mingze Wang; Shuxian Bi; Wenjie Wang 007; Chongming Gao; Yangyang Li; Fuli Feng (WWW (Companion Volume), 2025)