Xu Ouyang
Portrait
Logo University of Virginia

Greetings! My name is Xu Ouyang, a third-year Computer Science Ph.D. student at University of Virginia. I'm fortunately advised by Prof. Thomas Hartvigsen.
Previously, I spent two great years with Prof. Felix Xiaozhu Lin and Prof. Yangfeng Ji at UVA CS.

If you are interested in collaborating with me, feel free to shoot me an email!
I'm looking for internship opportunities during Spring/Summer/Fall 2025. Feel free to reach out!

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News
2025
Jan 22
2024
Awarded the UVA iPRIME Student Fellowship for the advance of Precision Immunomedicine!
Nov 27
Nov 26
Start my internship at Tencent AI Lab Seattle!
May 28
2023
Apr 19
2022
Awarded the UVA Computer Science Scholar Fellowship!
Aug 28
Education
  • University of Virginia
    University of Virginia
    Ph.D. Student in Computer Science
    Aug. 2022 - present
  • Cornell University
    Cornell University
    M.Eng. in Electrical and Computer Engineering
    Aug. 2019 - Dec. 2020
Experience
  • Tencent AI Lab Seattle
    Tencent AI Lab Seattle
    Research Intern of Speech and Language Processing
    May. 2024 - Nov. 2024
  • Rice University
    Rice University
    Research Assistant, Prof. Yingyan (Celine) Lin
    May. 2021 - Apr. 2022
  • University of Texas at Austin
    University of Texas at Austin
    Research Assistant, Prof. Atlas (Zhangyang) Wang
    Feb. 2021 - Mar. 2021
Teaching & Services
  • CS4501 Natural Language Processing, Teaching Assistant
    2024 Fall
  • CS6316 Machine Learning, Teaching Assistant
    2024 Spring
  • CS6501 Natural Language Processing, Teaching Assistant
    2023 Fall
  • ICLR 2025 Reviewer
Selected Publications (view all 9 papers )
SelectFormer: Private and Practical Data Selection for Transformers
SelectFormer: Private and Practical Data Selection for Transformers

Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji

The Thirteenth International Conference on Learning Representations (ICLR) 2025

[Paper]

SelectFormer: Private and Practical Data Selection for Transformers

Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji

The Thirteenth International Conference on Learning Representations (ICLR) 2025

[Paper]

Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens
Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens

Xu Ouyang, Tao Ge, Thomas Hartvigsen, Zhisong Zhang, Haitao Mi, Dong Yu

Arxiv 2024

[Paper] [Quantized checkpoints]

Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens

Xu Ouyang, Tao Ge, Thomas Hartvigsen, Zhisong Zhang, Haitao Mi, Dong Yu

Arxiv 2024

[Paper] [Quantized checkpoints]

Efficient NLP Model Finetuning via Multistage Data Filtering
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

[Paper]

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

[Paper]

All publications