I am currently working as a Machine Learning Engineer in Linkedin AI team. Before that I was a master student at Carnegie Mellon University, Language Technology Institute, supervised by Prof. Kayhan Batmanghelich. I received my Bachelor’s Degree in Tsinghua University (2018) and my undergraduate research are focused on Reinforcement Learning and Natural Language Processing. I only interned in Microsoft Research Asia (MSRA) machine learning team lead by Tao Qin and Fei Tian for 6 months since September of 2017 and spent 12 wonderful weeks as a research assistant in Prof. Jian Peng’s lab in University of Illinois at Urbana-Champaign during the summer of 2017. Click here to view my up-to-date CV.

Publications

Fast and accurate text classification: Skimming, rereading and early stopping
Keyi Yu, Yang Liu, Alexander G Schwing, Jian Peng. Workshop of International Conference on Learning Representations (ICLR), 2018.

Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos. Empirical Methods in Natural Language Processing (EMNLP), 2019.

Robust Name Variant Retrieval
Keyi Yu, Anand Kishore, Abhimanyu Lad.

Awards

1. Gold Medal, the 29th Chinese Mathematical Olympiad (CMO), 2014
2. Candidate of 54th IMO Chinese National Team (62 people in China), 2013
3. Honorable Mention, Mathematical/Interdisciplinary Contest in Modeling (COMAP), 2017
4. Ranked 2nd, Academic Excellence Award, Tsinghua University (2015-2017)
5. Ranked 1st, Academic Excellence Award, Tsinghua University (2014-2015)
6. Freshman Scholarship, Tsinghua University, 2014