De-Ming Liang @ NJUCS

Currently I am first year graduate student of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group , led by professor Zhi-Hua Zhou.


Associate Researcher Yu-Feng Li.


I received my B.Sc. degree from Nanjing University in June 2017. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination.

Research Interest

I'm interested in Machine Learning and Data Mining. More specifically, I've done some 'little' work on semi-supervised learning. Currently, I'm interested in machine learning system for industrial engineering and heterogeneous parallel computing (OpenCL).

Open-Source Contribution

* I'm the maintainer of SafeU: A python toolkit of Safe Learning for Unlabeled Data


* Yu-Feng Li, De-Ming Liang. Safe Semi-Supervised Learning: A Brief Introduction. Frontiers of Computer Science (FCS). 2019, 13(4): 669-676.

* De-Ming Liang, Yu-Feng Li. Lightweight label propagation for large-scale network data In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018. code

* De-Ming Liang, Yu-Feng Li. Learning safe graph construction from multiple graphs In: Proceedings of the 1st CCF International Conference on Artificial Intelligence (CCF-ICAI18), Spring, 2018, 41-54.