Tu Vu

Tu Vu

College of Information and Computer Sciences
University of Massachusetts Amherst

Computer Science Building
140 Governors Drive, Amherst, MA 01003

Office: Room 266 - UMass NLP Lab
Email: [first-name][last-name]@cs.umass.edu

About me

I am a Ph.D. student in the College of Information and Computer Sciences (CICS) at University of Massachusetts Amherst (UMass Amherst), where I am lucky to be advised by Professor Mohit Iyyer (since Fall 2018). Along with my advisor, I work on problems that lie at the intersection of deep learning and natural language processing (NLP).

My main research interest is in designing deep neural networks to model language at the sentence and discourse level across various topics:

I am particularly interested in transfer learning and semi-supervised learning approaches (e.g., unsupervised pre-training) that exploit large volumes of unlabeled data to improve/speed up learning in target tasks with limited or no labeled data available. My current research projects focus on understanding and improving representations from large-scale language models, such as ELMo, BERT, OpenAI GPT-2, XLNet, and RoBERTa, for a variety of downstream NLP tasks.

Prior to joining UMass Amherst, I completed my Bachelor's degree in Computer Science at Vietnam National University, Hanoi (VNU).

Recent News

Service & Outreach

Second Reviewer/Assistant Reviewer: ICLR 2019, NAACL 2019
Program Committee/Reviewer: ACL 2019, CoNLL 2019, INLG 2019

Recent Publications

Thesis Topics

Tu Vu, Mohit Iyyer. 2019. Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).
Paper Code & Data Slides Poster

Other Topics

Tu Vu, Vered Shwartz. 2018. Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. In Proceedings of the 7th Joint Conference on Lexical and Computational Semantics (*SEM 2018) co-located with NAACL-HLT 2018.

Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu. 2018. Sentence Simplification with Memory-Augmented Neural Networks. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018).


Favorite Quote

"Kites rise highest against the wind, not with it." – Sir Winston Churchill.

Major ML/NLP Conferences Calendar 20201

Conference Submission Date Notification Date Conference Date Location
ACL 2020 December 9, 2019 April 3, 2020 July 6-11, 2020 Seattle, Washington, USA
EMNLP 2020 TBD TBD November 8-12, 2020 Punta Cana, Dominican Republic
ICLR 2020 September 25, 2019 December 19, 2019 April 30, 2020 Addis Ababa, Ethiopia
1. As ACL 2020 will be held in the America region in collaboration with NAACL, there will be no separate NAACL in 2020. It will be back in 2021.


Email: [first-name][last-name]@cs.umass.edu