Kehui Song (宋珂慧)
She joined a co-supervision project and received the Ph.D. degree both from Nankai University in China and Centrale Lille in France. working as a Post-Doctoral Researcher with the College of Computer Science, Nankai University. Her main research interests include machine learning, medical data analysis, and big data management.
Database and Information System Lab (DBIS)
College of Computer Science,Nankai University
Email: songkehui@nankai.edu.cn
She works in the field of medical data analysis, information extraction and deep learning. Currently, She focuses on the following research topics:
Program Committee Member
[1] Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Guoqing Zhao, Xin Wei, Xiaojie Yuan
Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information,International Conference on Computational Linguistics (COLING), 2022.
[2] Xuan Pan, Xiangrui Cai, Kehui Song, Thar Baker, Thippa Reddy Gadekallu, Xiaojie Yuan
Location Recommendation Based on Mobility Graph With Individual and Group Influences,IEEE Transactions on Intelligent Transportation Systems (TITS), 2022.
[3] Xuhui Sui, Kehui Song, Baohang Zhou, Ying Zhang, Xiaojie Yuan
A Multi-task Learning Framework for Chinese Medical Procedure Entity Normalization,IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
[1] Kehui Song, Xianyi Zeng, Ying Zhang, Julien De Jonckheere, Xiaojie Yuan, Ludovic Koehl
An interpretable knowledge-based decision support system and its applications inpregnancy diagnosis,Knowledge-Based Systems (KBS), 2021.
[2] Kehui Song, Shenglong Yu, Haiwei Zhang, Ying Zhang, Xiangrui Cai, Xiaojie Yuan
A decision support system for heart failure risk prediction based on weighted naiveBayes,International Conference on Database Systems for Advanced Applications (DASFAA), 2021.
[3] Yuhao Zhang, Kehui Song, Xiangrui Cai, Yierxiati Tuergong, Ling Yuan, Ying Zhang
Multimodal Topic Detection in Social Networks with Graph Fusion,WISA, 2021.
[1] Kehui Song, Xianyi Zeng, Julien De Jonckheere, Ludovic Keohl, Xiaojie Yuan
Extracting Diagnosis Rules Using Fuzzy Binary Decision Tree for Pregnancy Consultations,International FLINS Conference on Robotics and Artificial Intelligence, 2020.
[1] 宋珂慧,张莹,张江伟,袁晓洁
基于生成式对抗网络的结构化数据表生成模型研究,计算机研究与发展, 2019.
[2] Kehui Song, Julien De Jonckheere, Xianyi Zeng, Ludovic Keohl, Xiaojie Yuan
Development of a data-based interactive medical expert system for supporting pregnancy consultations: general architecture and methodology,IFAC Symposium on Analysis Design and Evaluation of Human Machine Systems, 2019.
[3] Xin Zhao, Xianyi Zeng, Ludovic Koehl, Guillaume Tartare, De Jonckheere J, Kehui Song
An IoT-based wearable system using accelerometers and machine learning for fetal movement monitoring,IEEE International Conference on Industrial Cyber Physical Systems (ICPS), 2019.