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
Twitter: @tuvuumass

About me

I am a Ph.D. candidate 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 natural language processing (NLP) and deep learning. Currently, I also spend one day a week as a student researcher at Google Brain.

Prior to joining UMass Amherst, I received my B.S. in Computer Science from Vietnam National University, Hanoi. I have spent a couple of summers as a research intern at Google AI in Mountain View (summer 2020) and Microsoft Research in Montreal (summer 2019).

Research

My research interests lie broadly in using unsupervised learning, semi-supervised learning, and transfer learning methods that exploit large volumes of unlabeled data or beneficial relationships among tasks to improve learning in target tasks with limited or no labeled data available. Research directions in this vein that I am currently exploring include:

Recent News

Teaching

Teaching Assistant:

Fall 2020: Advanced Natural Language Processing (COMPSCI 685)

Fall 2019: Introduction to Natural Language Processing (COMPSCI 585)

Fall 2018: Introduction to Natural Language Processing (COMPSCI 585)

Spring 2018: Machine Learning (COMPSCI 589)

Service & Outreach

Program Committee/Reviewer: ACL 2019, CoNLL 2019, INLG 2019, ACL 2020, EMNLP 2020, CoNLL 2020, COLING 2020, INLG 2020, NAACL-HLT 2021
Co-reviewer/Secondary Reviewer: ICLR 2019, NAACL-HLT 2019, ICLR 2020

Recent Publications

For an up-to-date list of my publications, please see my Google Scholar profile.


Exploring and Predicting Transferability across NLP Tasks.
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020).
PDF Slides


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

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

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

Miscellaneous

Favorite Quote

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

Major NLP Conferences Calendar 2021

Conference Submission Date Notification Date Conference Date Location
ACL 2021 February 1, 2021 May 5, 2021 August 1 – 6, 2021 Bangkok, Thailand
EMNLP 2021 TBD TBD November 7 – 11, 2021 TBD
NAACL-HLT 2021 November 23, 2020 March 10, 2021 June 6 – 11, 2021 Mexico City, Mexico

Contact

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