Liu mingming

Name: Mingming Liu

Title: Lecturer/Doctor

Education:PhD of Computer Science

Major: Computer Science


Research direction:

Machine Learning; Intelligent Software Engineering

1. Education and Work experience


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