| 2025 | ACL | Towards Explainable Temporal Reasoning in Large Language Models: A Structure-Aware Generative Framework. | Zihao Jiang, Ben Liu, Miao Peng, Wenjie Xu, Yao Xiao, Zhenyan Shan, Min Peng |
| 2025 | ICASSP | Learning from Reconstruction: A Two-Stage Global-to-Local Framework for Temporal Knowledge Graph Completion. | Wenjie Xu, Kai Liu, Zihao Jiang, Mengting Song, Boyi Zhang, Min Peng |
| 2025 | IJCNN | Modeling Relational Correlations with Dual-View Transformation for Temporal Knowledge Graph Forecasting. | Yao Xiao, Zihao Jiang, Enqiang Wang, Jin Liu |
| 2025 | WISE | Boosting Pre-trained Language Models for Temporal Knowledge Graph Reasoning via Joint Structure and Recurring Patterns. | Zihao Jiang, Miao Peng, Wenjie Xu, Ben Liu, Yao Xiao, Kai Liu, Min Peng |
| 2024 | NAACL | Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning. | Miao Peng, Ben Liu, Wenjie Xu, Zihao Jiang, Jiahui Zhu, Min Peng |
| 2023 | ICLR | Towards the Generalization of Contrastive Self-Supervised Learning. | Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang |
| 2023 | ICONIP | Weakly Supervised Temporal Action Localization Through Segment Contrastive Learning. | Zihao Jiang, Yidong Li |