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.
Prospective Students (Updated on Oct., 2024): Thank you for your interest! I have 2 co-advised openings for self-motivated PhD candidates Fall 2025. You may apply directly through the official UC Riverside website. You may also fill out the UCRNLP PhD application form. Due to the volume of emails, I will only respond to inquiries that include a completed form submission. I currently do not have positions for master’s students.
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
[9/2024] Three papers on hallucination interpretability, cross-modal unlearning, and adversarial attacks have been accepted to EMNLP Findings.
[9/2024] I am honored to serve as a senior area chair for NAACL 2025 and area chair for ICLR 2025.
[7/2024] Our paper on Personalized Conversational Information Retrieval has been accepted at CIKM 2024.
[7/2024] IllusionVQA has been accepted at COLM.
[5/2024] Excited that 5 papers (on Summarization Safety Alignment, Bias in Text-to-Image Generation, Misogyny Benchmark, Text Re-ranking, Temporal QA) are accepted to ACL 2024 or ACL Findings.
[5/2024] Our work “Cross-Task Defense: Instruction-Tuning LLMs for Content Safety” has been accepted to NAACL TrustNLP 2024 workshop.
[3/2024] I am honored to serve as a senior area chair for EMNLP 2024.
[3/2024] Our paper Source-Free Domain Adaptation for Question Answering with Masked Self-training has been accepted at TACL 2024.
[2/2024] My PhD students Yu Fu (1st year) and Erfan Shayegani (2nd year) will be interning at Microsoft Research this summer. Congrats!
[1/2024] Our paper Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models has been accepted into ICLR 24 as a spotlight (5% of papers, acc. 31% ), Congrats! This paper also featured on UCR news.
Students
Welcome to UCR NLP Lab!
Lab Members
Director
Yue Dong, assistant professor of computer science and engineering
PhD Students
Yu Fu, since Fall 2023
Erfan Shayegani (co-advise with Prof. Nael B. Abu-Ghazaleh), since Summer 2023
Haz Sameen Shahgir, incoming Fall 2024
G M Shahariar Shibli, incoming Fall 2024
Recent Publications
Recent Teachings
[Spring 2024] CS 173 - Introduction to Natural Language Processing
[Winter 2024] CS 222 - Natural Language Processing
[Spring 2023] CS 173 - Introduction to Natural Language Processing
[Winter 2023] CS 260 - Seminar in Natural Language Processing
Recent Services
Lead-organizer
ACL 2024 Tutorial on Vulnerabilities of Large Language Models to Adversarial Attacks
EMNLP 2023 workshop on New Frontiers in Summarization
Co-organizer
NeurIPS 2024 workshop on [Efficient Natural Language and Speech Processing (ENLSP-IV)]
NeurIPS 2023 workshop on Efficient Natural Language and Speech Processing (ENLSP-III)
KDD 2023 tutorial on Fast Text Generation with Text-Editing Models
NeurIPS 2022 workshop on Efficient Natural Language and Speech Processing (ENLSP-II)
EMNLP 2021 workshop on New Frontiers in Summarization
Recent Talks
Invited talks
[11/2023] Exploring Safety in Large Language Models YouTube 40:30 mins | News
- 80th Annual Convention of Jiaotong University Alumni Association in SoCal (交通大学南加州校友会80周年庆), Los Angeles, CA, US
[11/04/2023] AI and Large Language Models
- UCR Family Day/Homecoming seminar, Riverside CA, US
[08/2023] Fast Text Generation with Text-Editing Models
- KDD Tutorial, Long Beach, CA, US
Recent Awards
Fundings:
NSF CISE MSI, Co-PI, Jan. 2025- Dec. 2027
UTCRS, Co-PI, June 2024 - June 2025
Regents Faculty Fellowship grant, PI, July 2023 - June 2025
UCR OASIS Internal Funding Awards, PI, June 2023 - June 2024
Academic Awards:
Best Paper Award, Southern California NLP Symposium, 2023
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
Contact
- yue.dong[AT]ucr.edu
- Riverside, CA, USA
- DM Me