| 2026 | AAAI | LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs. | Bing Hao, Minglai Shao, Zengyi Wo, Yunlong Chu, Yuhang Liu, Ruijie Wang |
| 2026 | SIGIR | Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment. | Yuhang Liu, Minglai Shao, Zengyi Wo, Yunlong Chu, Bing Hao, Shengzhong Liu, Ruijie Wang, Jianxin Li |
| 2025 | DASFAA | Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning. | Chang Liu, Zengyi Wo, Minglai Shao, Wenjun Wang, Qin Tian |
| 2025 | IJCAI | Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. | Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao |
| 2025 | KDD | Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection. | Zengyi Wo, Minglai Shao, Shiyu Zhang, Ruijie Wang |
| 2024 | WWW | Graph Contrastive Learning via Interventional View Generation. | Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin |