Prof. Song Hengjie, doctoral tutor, graduated from Nanyang Technological University (NTU, Singapore) and then worked in the Interuniversity Microelectronics Centre (IMEC, Belgian) and Baidu(Beijing). In 2012-2014, he was appointed to be the special researcher of the Japan Society for the Promotion of Science (JSPS Fellow, Kyoto University, Japan). At the end of 2014, he was funded by high-level talent project of South China University of Technology (third level). At present, he undertakes many national and provincial research projects such as National Natural Science Foundation of China, Guangdong Engineering Research and Development Center, Ministry of Education and China Mobile Communications Group Joint Research Fund, and Sino-Singapore Joint Research Fund. In recent years, he has published more than 20 papers in international academic journals and conferences as the first author/communication author, such as AAAI, ICDM, IEEE Trans, Fuzzy Systems, IEEE CIMs, etc.

E-mail: sehjsong@scut.edu.cn

Research Direction:Data mining, artificial intelligence

Representative Papers

1.Hengjie Song, Yufei Pan, Feng Guo, Xue Zhang, Le Ma, Siyu Jiang:ConCPDP: A Cross-Project Defect Prediction Method Integrating Contrastive Pretraining and Category Boundary Adjustment. IET Softw. 2024(1) (2024)

2.Qianyu Li, Bozheng Feng, Xiaoli Tang, Han Yu, Hengjie Song:MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion. Neural Networks 174: 106222 (2024)

3.Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan:Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation. ICLR 2024

4.Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui, Xiaoxiao Li:FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization. ICME 2024: 1-6

5.Qianyu Li, Jiebin Chen, Xiaoli Tang, Han Yu, Hengjie Song:Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process. IJCNN 2024: 1-8