Yue Dong

Yue Dong

Assistant Professor

University of California, Riverside

Hi, I am Yue (/yoo-eh/) Dong, an assistant professor of computer science and engineering at the University of California, Riverside. I obtained my PhD in Computer Science at McGill University and Mila, supervised by Dr. Jackie Cheung. I was fortunate to intern at Google AI, AI2, Microsoft, and Noah’s Ark Lab during my PhD.

My research interests include natural language processing, machine learning, and artificial intelligence. I lead the Natural Language Processing group at UCR, which develops natural language understanding and generation systems that are controllable, trustworthy, and efficient. I am looking for self-motivated PhDs / masters / interns to work in the area of NLP, please consider applying if you are interested in working with me.

I cannot advise more master’s students at UCR in 2023. Due to the high volume of requests, I won’t be able to respond to further emails on this matter.

PhD Thesis | Research Statement | 招生 |

  • Machine learning
  • Natural language processing
  • Natural language generation
  • Automatic summarization
  • Trustworthy and efficient AI
  • PhD in Computer Science , 2022

    McGill University

  • MSc & BSc in Mathematics, 2016

    University of Ottawa

  • Clinical Medicine, 2009

    Xi'an Jiaotong University (西安交通大学)

Recent News

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Recent Publications

(2022). Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization. Findings of Empirical Methods of Natural Language Processing (Findings of EMNLP).

Cite Arxiv ACL Anthology

(2022). Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization. Annual Meeting of the Association for Computational Linguistics (ACL).

Cite Arxiv ACL Anthology Code

(2022). Learning with Rejection for Abstractive Text Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Cite ACL Anthology

Recent Services

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Senior Area Chair

Recent Talks

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What future do we want with Artificial Intelligence?

Robust and Trustworthy NLP Through The Lens of Text Summarization

  • Invited Talk at University of California - Riverside, March 2021

  • Invited Talk at University of National University of Singapore, March 2021

  • Invited Talk at Google AI, March 2021

  • Invited Talk at University of Waterloo, February 2021

  • Invited Talk at University of Utah, February 2021

  • Invited Talk at Simon Fraser University, February 2021

Recent Awards

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  • Alexander Graham Bell Canada Graduate Scholarship - Doctoral (CGS D) - Accepted, 2018-2019

  • [ Best Paper Award ] at Canadian conference on artificial intelligence

  • NSERC Postgraduate Scholarship - Doctoral (PGS D) - Accepted, 2017-2018

  • FRQNT Doctoral Scholarship - Declined (rank first in all 2016 applicants in mathematics), 2016

  • FRQNT Master’s Research Scholarship, 2016

  • NSERC Canada Graduate Scholarships - CGS Master’s, 2015

  • University of Ottawa Excellence Scholarship, 2015 - 2016

  • NSERC Undergraduate Student Research Awards (USRA), Summer 2014

  • Dean’s Merit Scholarships - Faculty of Science, University of Ottawa, 2014

  • University of Ottawa Women’s Summer Research Award, Summer 2013

  • University of Ottawa Work/Study Research Award, Summer 2012

  • First prize in mathematics competition in Shaanxi province, China, 2008