| 2025 | ACL | Digest the Knowledge: Large Language Models empowered Message Passing for Knowledge Graph Question Answering. | Junhong Wan, Tao Yu, Kunyu Jiang, Yao Fu, Weihao Jiang, Jiang Zhu |
| 2025 | CIKM | Decoder-only Pre-training Enhancement for Spatio-temporal Traffic Forecasting. | Tao Yu, Junhong Wan, Yao Fu, Weihao Jiang, Jiang Zhu |
| 2023 | CIKM | Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion. | Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu |
| 2023 | CIKM | GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features. | Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang |
| 2022 | IJCNN | Graph Intention Neural Network for Knowledge Graph Reasoning. | Weihao Jiang, Yao Fu, Hong Zhao, Junhong Wan, Shiliang Pu |
| 2022 | IJCNN | Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion. | Junhong Wan, Yao Fu, Weihao Jiang, Shiliang Pu, Junlan Yu |
| 2020 | ICTAI | Preference-aware Heterogeneous Graph Neural Networks for Recommendation. | Yao Fu, Junhong Wan, Hong Zhao, Weihao Jiang, Shiliang Pu |