Name: Mingming Liu
Title: Lecturer/Doctor
Education:PhD of Computer Science
Major: Computer Science
Email: Liumingming@nankai.edu.cn
Research direction:
Machine Learning; Intelligent Software Engineering
1. Education and Work experience
Education
l Sep. 2007 ~ Jun. 2013 Nankai University
PhD of Computer Science
l Sep. 2000 ~ Jun. 2003 Nankai University
Master of Control theory and engineering
Work experience
Dec 2005~ Now Nankai University Lecturer
2. Achievements
2022 Nankai University Teaching Achievement Award Collective Second Prize
3. Publications
(1) X. Jin, M. Liu, L. Wang, W. He, Y. Huang and M. Xie, Multi-Resolutional Collaborative Heterogeneous Graph Convolutional Auto-Encoder for Drug-Target Interaction Prediction, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South), 2020, pp. 150-153, doi: 10.1109/BIBM49941.2020.9313489 (CCF-B)
(2) L. Wang, M. Liu, X. Jin, W. He, M. Xie and Y. Huang, A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 11-14, 2021, Delhi, India.
(3) Fan Huang, Mingming Liu, Maoqiang Xie, Weiwei Liu, Lu Sun. A combined study on the skeletal vibration of aminopyrine by terahertz time-domain spectroscopy and DFT simulation. Optik. 208:163913. 2020. (SCI)
(4) JiaHui Liu, Xu Jin, YuXiang Hong, Fan Liu, QiXiang Chen, YaLou Huang, MingMing Liu, MaoQiang Xie, FengChi Sun. Collaborative linear manifold learning for link prediction in heterogeneous networks. Information Sciences. 511:297-308. 2020. (SCI IF:5.524)
(5) Zhang Yaogong, Wang Yuan, Liu Jiahui, Liu Mingming, Huang Yalou, Xie Maoqiang, Weighted Graph Constraint and Group Centric Non-negative Matrix Factorization for Gene-phenotype Association Prediction, 2017 IEEE Symposium on Computers and Communication (ISCC). Heraklion, Greece.
4. Social Appointments
ACM Member
