ECML PKDD 2024: "Self-Pro: Self-Prompt and Tuning Framework for Graph Neural Networks"
SDM 2023: "Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples" (First author)
ICKG 2023: "Context-Aware Session-Based Recommendation with Graph Neural Networks"
Preprint: "Relation-Aware Graph Foundation Model"
Preprint: "SEAGraph: Unveiling the Whole Story of Paper Review Comments" (Co-first author)
Other preprints include: "Breaking the Cloak! Unveiling Chinese Cloaked Toxicity with Homophone Graph and Toxic Lexicon", "Can Large Language Models Act as Ensembler for Multi-GNNs?", "Improving Graph Out-of-distribution Generalization"