I got my PhD degree from Harbin Institute of Technology. I love to understand phenomenon and imagine new stuffs in fields of Machine Learning and Natural Language Processing. I did my undergrad at Central China Normal University, a beautiful university settled in Wuhan, Hubei Province, China. Please see my resume for more details on my project experience.

Contact: epsilonlee dot green at gmail.com

Research Interests - I generally identify with the community that values reliable AI the most, and researches into both theoretiacal and empirical aspects of current data-driven paradigm of AI. More specifically, I am really interested in the following "friends" who I might have not got a chance to get along closely with:

  • Machine translation and multilinguality
  • (Realistic) generalization and compositionality
  • Interpretability

You can see the [Research Interests] file for a in-depth discussion.

News

I joined JD as a Machine Learning engineer at this summer (2022.8.5), and moved to Beijing.

Education

Computer Science Department, Harbin Institute of Technology, Harbin, China

Ph.D. (September 2016 - April 2022)

Computer Science Department, Central China Normal University, Wuhan, China

B.Eng. in Computer Science and Technology (September 2011 - May 2015)

Department of Foreign Language, Central China Normal University, Wuhan, China

Minor in English and Linguistics (September 2012 - March 2015)

Preprints

Demystifying The Learning of Unsupervised Neural Machine Translation

Guanlin Li, Lemao Liu, Tara Watanabe, Conghui Zhu, Tiejun Zhao
Rejected from ICLR 2021, 5, 4, 5, 6.

Understanding Learning Dynamics for Neural Machine Translation

Conghui Zhu, Guanlin Li, Lemao Liu, Tiejun Zhao, Shuming Shi
Rejected from ACL 2020 with 2.5, 4, 4.5, draft.

A Cluster-to-Cluster Framework for Neural Machine Translation

Wenhu Chen, Guanlin Li, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou
Draft.

Publications

Detecting and Understanding Generalization Barriers for Neural Machine Translation

Guanlin Li, Lemao Liu, Conghui Zhu, Tiejun Zhao, Shuming Shi
TASLP 2021.

Evaluating Explanation Methods for Neural Machine Translation

Jierui Li, Lemao Liu, Huayang Li, Guanlin Li, Guoping Huang, Shuming Shi
ACL 2020.

Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization

Guanlin Li, Lemao Liu, Conghui Zhu, Tiejun Zhao, Shuming Shi
EMNLP 2019.

On the Word Alignment from Neural Machine Translation

Xintong Li, Guanlin Li, Lemao Liu, Max Meng, Shuming Shi
ACL 2019.

Understanding and Improving Hidden Representation for Neural Machine Translation

Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi
NAACL 2019.

Generative Bridging Networks in Neural Sequence Prediction

Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou
NAACL 2018.