Lili Mou, PhD

Assistant Professor, Faculty of Science - Computing Science


Assistant Professor, Faculty of Science - Computing Science



Dr. Lili Mou is an Assistant Professor at the Department of Computing Science, University of Alberta. He is also an Alberta Machine Intelligence Institute (Amii) Fellow and a Canada CIFAR AI (CCAI) Chair. Lili received his BS and PhD degrees in 2012 and 2017, respectively, from School of EECS, Peking University. After that, he worked as a postdoctoral fellow at the University of Waterloo and a research scientist at Adeptmind (a startup in Toronto, Canada). His research interests include deep learning applied to natural language processing as well as programming language processing. He has publications at top conferences and journals, including AAAI, ACL, CIKM, COLING, EMNLP, ICASSP, ICLR, ICML, IJCAI, INTERSPEECH, NAACL-HLT, NeurIPS, and TACL (in alphabetical order).


My research mission is to build an intelligent system that can understand and interact with humans via natural language, involving both text understanding and generation. Towards this long-term goal, I am focusing on fundamental problems in machine learning (especially, deep learning) methods applied to natural language processing, including feature extraction in the discrete input space, weakly supervised learning in the discrete latent space, and sentence synthesis in the discrete output space. My work has been successfully applied to various NLP tasks, including information extraction, semantic parsing, syntactic parsing, text generation, and many others. 



I am admitting all-level students. Applicants should be addressed to the department portal.

If you meet one of the following criteria, please directly contact me:

  1. Collaborator of me
  2. Has a publication at a reputable venue (such as those I have published)
  3. Recommended by a trusted researcher who I know

Due to the time constraint, I may not reply every email if you don't meet the above criteria.