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Zirui Wang

王子瑞

Language Technologies Institute

School of Computer Science

Carnegie Mellon University

Office: GHC 5414

Email: ziruiw [at] cs (dot) cmu (dot) edu

Twitter: @MrZiruiWang

About Me

I am a PhD student at Language Technologies Institute in CMU, advised by Jaime Carbonell. Sadly, Jaime passed away in 2020 and I have been working with Yulia Tsvetkov and Emma Strubell since then. Jaime will always be my advisor and deeply missed.

Previously, I obtained my B.S. in Computer Science and Mathematics at CMU.

My research work are supported by Carnegie Mellon's Presidential Fellowship.

Recent News

Obtain first super-human and SOTA performance (first above 90) on SuperGLUE dataset, as of Dec 20, 2020.

Research Interest

Transfer Learning, Meta Learning, Natural Language Processing, Computer Vision.

Publication

Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models.
Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao.
ICLR 2021 (Spotlight). [arxiv]

On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment.
Zirui Wang, Zachary C Lipton, Yulia Tsvetkov.
EMNLP 2020. [arxiv] [code]

Efficient Meta Lifelong-Learning with Limited Memory.
Zirui Wang*, Sanket Vaibhav Mehta*, Barnabás Póczos, Jaime Carbonell.
EMNLP 2020. [arxiv] [code]

Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework.
Zirui Wang*, Jiateng Xie*, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime Carbonell.
ICLR 2020. [arxiv] [code] [presentation]

Characterizing and Avoiding Negative Transfer.
Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime Carbonell.
CVPR 2019. [arxiv]

Towards more Reliable Transfer Learning.
Zirui Wang, Jaime Carbonell.
ECML-PKDD 2018. [arxiv] [sup] [slides]

Work Experimence

Student Researcher @ Google Brain May 2020 - Present
Host: Yuan Cao, Orhan Firat, Adams Yu

Award

CMU Presidential Fellowship, 2020-2021.

CMU LTI Research Fellowship, 2017-present.

Teaching Experience

Teaching Assistant @ CMU

  • 10701 Machine Learning for PhD, Machine Learning Department, F18.
  • 10601 Machine Learning for Graduates, Machine Learning Department, F16 S17 F17.
  • 15210 Parallel and Sequential Data Structures and Algorithms, Computer Science Department, S15 F15 S16.