Welcome to Liyuan Lucas Liu (刘力源)’s webpage! I am a Ph.D. student at the University of Illinois at Urbana-Champaign (UIUC). My Thesis advisor is Prof. Jiawei Han, and my undergraduate advisor is Prof. Linli Xu. If you are going to visit UIUC, please let me buy you a bubble tea. House Milk Tea and Black Sugar Milk Tea (w. no additional sugar) are pretty good .
I would join Microsoft Research @ Redmond in Feb, 2022 .
Ph.D. in Computer Science (in progress)
University of Illinois at Urbana-Champaign
B.Eng. in Computer Science, 2016
University of Science and Technology of China
Getting better resource productivity is crucial to accommodate the ever-growing resource consumption of neural networks, and such productivity is in great demand to advance cutting-edge models or apply them to real-world applications. Correspondingly, my research is formed as a “pincer movement”, attacking the productivity regarding the two major types of training cost, i.e., annotation cost and computational cost:
The latest reading group is available at Google Group. The reading lists are:
The latest DMG group meeting notification is available at Google Group.
I’ve served as a PC Member for ACL2020, WWW2020, AAAI2020, IJCAI2020, EMNLP2019, LLD2019, ACL2019, NAACL2019, AAAI2019, and EMNLP2018.