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, large language models, machine learning, and artificial intelligence. I am the principal investigator (PI) of the Natural Language Processing Group at UCR, where we focus on controllable text generation, trustworthy LLMs (e.g., adversarial robustness), and efficient LLMs (e.g., KV cache optimization).
Prospective Students (Updated April 2025):
Thank you for your interest! I am planning to hire 1-2 co-advised PhD student for Fall 2026.
You may apply directly through the official UC Riverside website.
You may also complete the UCRNLP PhD application form.
Due to the volume of emails, I will only respond to inquiries that include a completed form submission.
At this time, I do not have openings for master’s students.
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)
[10/2026] I am honored to serve as a senior area chair for ACL 2027.
[10/2026] I am honored to serve as a panelist for both the Foundations of AI and AI Security sessions at the UC Riverside AI Summit.
[10/2026] Our paper on Transformer-guided Relational Reasoning for Update Prioritization in Federated Learning has been accepted at WACV 2027.
[10/2026] I am honored to give an invited talk at the Simons Institute for the Theory of Computing at UC Berkeley for the workshop on Trustworthy AI: From Hallucinations to Reliable Autonomy.
[09/2026] Excited to share that three of our papers have been accepted at NeurIPS 2026: MT-JailBench: A Modular Benchmark for Understanding Multi-Turn Jailbreak Attacks, Do Reasoning LLMs Refuse What They Infer in Long Contexts?, and AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion.
[08/2026] I am honored to serve as a senior area chair for NAACL 2027.
[07/2026] Our paper on Enhancing Adversarial Robustness of Mobility-Scooter Riding Stability Analysis Model through Body-Informed Design is accepted at IEEE BSN 2026.
[07/2026] Our paper on DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs is accepted at EMNLP 2026 Findings.
[06/2026] I am honored to serve as a senior area chair for EMNLP 2026.
[05/2026] Excited to share that the poster on EV classification for cancer detection that I worked on with Tijana Jovanovic-Talisman won the Best Poster Award at the U54 Symposium!
Yue Dong, assistant professor of computer science and engineering
Yu Fu, since Fall 2023
2023:EMNLP 2023 Findings
2024: AAAI 2024, NNACL 2024 TrustNLP workshop, ACL 2024, Microsoft 24 Summer Intern
2025: PAKDD 2025, ICLR 2025, AAAI 2025, Amazon 25 Summer Intern
Erfan Shayegani (co-advise with Prof. Nael B. Abu-Ghazaleh), since Summer 2023
[55] Do Reasoning LLMs Refuse What They Infer in Long Contexts?
Yu Fu, Haz Sameen Shahgir, Zhipeng Wei, Huanli Gong, N. Benjamin Erichson, Yue Dong
NeurIPS 2026
[54] AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion
Abrar Rahman Abir, Haz Sameen Shahgir, Md. Rownok Zahan Ratul, Md Toki Tahmid, Greg Ver Steeg, Yue Dong
NeurIPS 2026
[53] MT-JailBench: A Modular Benchmark for Understanding Multi-Turn Jailbreak Attacks
Xinkai Zhang, Zhipeng Wei, Huanli Gong, Jing Ting Zheng, Yuchen Zhang, Yue Dong, N. Benjamin Erichson
NeurIPS 2026
[52] D-Judge: Disrupting Multi-Turn Jailbreaks using Semantics-Preserving Output Rewriting
Huanli Gong, Zhipeng Wei, Yu Fu, Haz Sameen Shahgir, Ananya Gupta, Yue Dong, N. Benjamin Erichson
ICML 2026
[51] VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors
Haz Sameen Shahgir, Xiaofu Chen, Yu Fu, Erfan Shayegani, Nael Abu-Ghazaleh, Yova Kementchedjhieva, Yue Dong
COLM 2026
[50] Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization
Yu Fu, Chen Luo, Josef Valvoda, Xin Zhang, Xuejing Lei, Xiao Pan, Hui Liu, Yue Dong
ACL 2026
Jasper Liu, M. Patel, C. Zhao, Haz Sameen Shahgir, Yue Dong, Tingting Chen
IEEE BSN 2026
[48] DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs
Longxuan Yu, Yunshu Wu, Yu Fu, Siheng Xiong, Rob Brekelmans, Hui Liu, Yue Dong, Greg Ver Steeg
EMNLP 2026
[47] A Real-Time System to Populate FRA Form 57 from News
Chansong Lim, Haz Sameen Shahgir, Yue Dong, Jia Chen, Evangelos E. Papalexakis
WSDM 2026
[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
EMNLP 2025 workshop on New Frontiers in Summarization
ACL 2024 Tutorial on Vulnerabilities of Large Language Models to Adversarial Attacks
EMNLP 2023 workshop on New Frontiers in Summarization
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)
[Winter/2026] Guest speaker , UGRD R’Excellence: How Bold Hearts and Brilliant Minds Are Made.
[08/2025] Invited speaker , Monterey Data Conference.
[06/2025] UC Tech 2025: Closing Keynote Speaker.
[11/2023] Exploring Safety in Large Language Models YouTube 40:30 mins | News
UCR RAISE Seed Grant, Co-PI, Jan. 2026 - Dec. 2026
NSF DUE (HSI), Co-PI, Sep. 2025 - Sep. 2030
CAHSI-Google IRP Funding, PI, Sep. 2025 - Aug. 2026
NSF CISE MSI, Co-PI, Jan. 2025 - Dec. 2027
UCR Hellman Fellowship Award, July 2025 - June 2026
UCR WCGEC Energy Research Seed Grants, June 2025 - June 2026
Regents Faculty Fellowship grant, PI, July 2023 - June 2025
UTCRS, Co-PI, June 2024 - June 2025
UCR OASIS Internal Funding Awards, PI, June 2023 - June 2024
Graduate Assistance in Areas of National Need (GAANN) Program, U.S. Department of Education, Co-PI, Sep. 2024
2024-25 AiC Affiliate Assistance Fund (Outreach)
Best Paper Award, Southern California NLP Symposium, 2023
[ Best Paper Award ] at Canadian conference on artificial intelligence
Alexander Graham Bell Canada Graduate Scholarship - Doctoral (CGS D) - Accepted, 2018-2019
NSERC Postgraduate Scholarship - Doctoral (PGS D) - Accepted, 2017-2018
FRQNT Doctoral Scholarship - Declined (rank first in all 2016 applicants in mathematics), 2016