| 2024 | WWW | Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. | Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen |
| 2023 | EMNLP | Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning. | Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou |
| 2023 | WWW | Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph. | Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou |
| 2023 | SIGIR | Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. | Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou |
| 2023 | WSDM | Weakly Supervised Entity Alignment with Positional Inspiration. | Wei Tang, Fenglong Su, Haifeng Sun, Qi Qi, Jingyu Wang, Shimin Tao, Hao Yang |
| 2022 | DASFAA | What Affects the Performance of Models? Sensitivity Analysis of Knowledge Graph Embedding. | Han Yang, Leilei Zhang, Fenglong Su, Jinhui Pang |
| 2022 | WWW | Time-aware Entity Alignment using Temporal Relational Attention. | Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann |
| 2021 | EMNLP | Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs. | Chengjin Xu, Fenglong Su, Jens Lehmann |