2025: Published 'Pre-training Graph Neural Networks on Molecules by using Subgraph-conditioned Graph Information Bottleneck' at AAAI 2025 (Rank A*)
2025: Published 'Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-attention' in IEEE Transactions on Network Science and Engineering (Top 3% JCR)
2024: Published 'Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity' at AAAI 2024 (Rank A*)
2024: Co-authored 'Kiosk Recommend System based on Self-Supervised Representation Learning of User Behaviors in Offline Retail' in IEEE Internet of Things Journal (Top 3.4% JCR)
2023: Published 'Companion Animal Disease Diagnostics Based on Literal-Aware Medical Knowledge Graph Representation Learning' in IEEE Access
Two additional papers under review in 2025 on multi-view molecular pre-training and context-aware graph causality for few-shot molecular property prediction