| 2026 | WWW | DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph. | Feng Zhao, Kangzheng Liu, Teng Peng, Yu Yang, Guandong Xu |
| 2025 | APWEB | Graph Contrastive Anomaly Detection Based on Beta Wavelet Multi-GNNs. | Yifan Song, Yu Yang, Kangzheng Liu, Feng Zhao |
| 2025 | EMNLP | Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection. | Hong Zhang, Feng Zhao, Ruilin Zhao, Cheng Yan, Kangzheng Liu |
| 2025 | EMNLP | LGA: LLM-GNN Aggregation for Temporal Evolution Attribute Graph Prediction. | Feng Zhao, Ruoyu Chai, Kangzheng Liu, Xianggan Liu |
| 2023 | ICDE | RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. | Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin |
| 2023 | ICDM | IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. | Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu |
| 2022 | CIKM | DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. | Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin |
| 2022 | ICDM | Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. | Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin |