Lili Mou

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. His research focuses on developing novel machine learning methods and frameworks for natural language processing. Examples include neuro-symbolic reasoning, edit-based local search for text generation, and controllable non-autoregressive text generation. He has more than 50 publications at top-tier conferences and journals, including AAAI, ACL, EMNLP, ICLR, ICML, IJCAI, NAACL-HLT, NeruIPS, and TACL (in alphabetic order). He also presented tutorials at EMNLP-IJCNLP'19 and ACL'20. He received a AAAI New Faculty Highlight Award in 2021.