University of VirginiaGreetings! My name is Xu Ouyang, a fourth-year Computer Science Ph.D. student at University of Virginia. I'm fortunately advised by Prof. Thomas Hartvigsen. I spent two great years with Prof. Felix Xiaozhu Lin and Prof. Yangfeng Ji at UVA CS.
My research interests include:- Diffusion Large Language Models (dLLMs)
- Scaling Laws, Architectures, and Training Dynamics of LLMs
- Data-Centric Machine Learning
- Efficient and Scalable Machine Learning Systems
I'm always looking for collaboration and internship opportunities, feel free to shoot me an email!
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Education
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University of VirginiaPh.D. Student in Computer ScienceAug. 2022 - present
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Cornell UniversityM.Eng. in Electrical and Computer EngineeringAug. 2019 - Dec. 2020
Experience
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Bytedance Seed @San JoseStudent Researcher of LLM ModelsJun. 2025 - Feb. 2026 -
Tencent AI Lab SeattleArtificial General Intelligence Research InternMay. 2024 - Nov. 2024 -
Rice UniversityResearch Assistant, Prof. Yingyan (Celine) LinMay. 2021 - Apr. 2022 -
University of Texas at AustinResearch Assistant, Prof. Atlas (Zhangyang) WangFeb. 2021 - Mar. 2021
Teaching & Services
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CS4710 Artificial Intelligence, Teaching Assistant2026 Spring
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CS4501 Natural Language Processing, Teaching Assistant2024 Fall
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CS6316 Machine Learning, Teaching Assistant2024 Spring
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CS6501 Natural Language Processing, Teaching Assistant2023 Fall
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Reviewer: ICLR 2025/2026, COLM 2025/2026, ICML 2026
Selected Publications (view all 10 papers )
ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization
Xu Ouyang*, Shengzhuang Chen*, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz
Transactions on Machine Learning Research 2025
ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization
Xu Ouyang*, Shengzhuang Chen*, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz
Transactions on Machine Learning Research 2025
Low-Bit Quantization Favors Undertrained LLMs
Xu Ouyang, Tao Ge, Thomas Hartvigsen, Zhisong Zhang, Haitao Mi, Dong Yu
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Main Conference) 2025
Low-Bit Quantization Favors Undertrained LLMs
Xu Ouyang, Tao Ge, Thomas Hartvigsen, Zhisong Zhang, Haitao Mi, Dong Yu
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Main Conference) 2025
Selectformer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation
Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji
The Thirteenth International Conference on Learning Representations (ICLR) 2025
Selectformer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation
Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji
The Thirteenth International Conference on Learning Representations (ICLR) 2025
Efficient NLP Model Finetuning via Multistage Data Filtering
Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji
International Joint Conference On Artificial Intelligence (IJCAI) 2023
Efficient NLP Model Finetuning via Multistage Data Filtering
Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji
International Joint Conference On Artificial Intelligence (IJCAI) 2023