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 |
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)
[05/2023] Our proposal of KDD 2023 tutorial on Fast Text Generation with Text-Editing Models has been accepted
[04/2023] Thrilled to join the Biasly team at Mila as a visiting NLP advisor, working on AI for humanity and to mitigate gender biases in language models
[03/2023] Our application to form a special interest group on summarization has been accepted by ACL. Checkout the newest ACL’s SIG - SIGSUMM
[01/2023] Expressed my opinions about chatGPT for education @UCR News
[01/2023] Joined UCR as an assistant professor in the CSE department
[12/2022] The 4th workshop on “New Frontiers in Summarization Workshop” has been accepted to EMNLP 2023
[11/2022] Career and Personal Pathway Panelist at Google exploreCSR-DS and ML workshop @ University of California Riverside
[11/2022] Talk at UCR Data Science Seminar on “hallucinations in text generation”
[11/2022] Successfully defended my PhD! Checkout my thesis here
[10/2022] Our paper “Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization” has been accepted to the findings of EMNLP 2022
[Winter 2023] CS 260 - Seminar in Natural Language Processing
[Spring 2023] CS 173 - Introduction to Natural Language Processing
KDD 2023 tutorial on Fast Text Generation with Text-Editing Models
EMNLP 2023 workshop on New Frontiers in Summarization
NeurIPS 2022 workshop on Efficient Natural Language and Speech Processing (ENLSP-II)
EMNLP 2021 workshop on New Frontiers in Summarization
NeurIPS 2021 workshop on Efficient Natural Language and Speech Processing
NAACL 2022 tutorial on Text Generation with Text-Editing Models
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
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