| 2026 | AAAI | Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models. | Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu |
| 2026 | WWW | Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation. | Qin Tian, Chen Zhao, Xintao Wu, Dong Li, Minglai Shao, Xujiang Zhao, Wenjun Wang |
| 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 | ICASSP | GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models. | Zhixia He, Chen Zhao, Minglai Shao, Yujie Lin, Dong Li, Qin Tian |
| 2025 | KDD | MLDGG: Meta-Learning for Domain Generalization on Graphs. | Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li |
| 2024 | IJCAI | Supervised Algorithmic Fairness in Distribution Shifts: A Survey. | Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian |