Xiaoye Zhu
Logo Logo Undergraduate

I’m an undergraduate student majoring in Artificial Intelligence at South China University of Technology. Currently, I’m completing my final year of studies at the NUS (Chongqing) Research Institute .

My research focuses on Ariticifial Intelligence Generated Content (AIGC), and I am broadly interested in Large Language Models (LLMs) and agents. Specifically, I have been fortunate to work on cutting-edge research projects, including AI-generated content detection and representation for multimodal generative tasks, with related work published in top-tier conferences like AAAI and CVPR.


Education
  • South China University of Technology
    South China University of Technology
    Future Technology Institute
    Undergraduate Student
    Sep. 2021 - present
  • NUS (Chongqing) Research Institute
    NUS (Chongqing) Research Institute
    Undergraduate Student
    Sep. 2024 - present
Honors & Awards
  • First Prize in the "Greater Bay Area Cup" Guangdong-Hong Kong-Macao Financial Mathematics Modeling Competition
    2023
  • Second Prize in the Asia and Pacific Mathematical Contest in Modeling
    2023
  • University Third-Class Scholarships
    2022 - 2024
  • Excellence Group Third Class Scholarship
    2022
  • EVE Energy Third Class Scholarship
    2023
  • Hongping Evergreen Scholarship
    2024
News
2024
Our paper homepage for "Imitate Before Detect" is now published. Learn more
Dec 07
Selected Publications
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection

Jiaqi Chen*, Xiaoye Zhu*, Tianyang Liu*, Ying Chen, Xinhui Chen, Yiwen Yuan, Chak Tou Leong, Zuchao Li, Tang Long, Lei Zhang, Chenyu Yan, Guanghao Mei, Jie Zhang, Lefei Zhang (* equal contribution)

Association for the Advancement of Artificial Intelligence (AAAI) 2025

Large Language Models (LLMs) have revolutionized text generation, making detecting machine-generated text increasingly challenging. Learn more

Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection

Jiaqi Chen*, Xiaoye Zhu*, Tianyang Liu*, Ying Chen, Xinhui Chen, Yiwen Yuan, Chak Tou Leong, Zuchao Li, Tang Long, Lei Zhang, Chenyu Yan, Guanghao Mei, Jie Zhang, Lefei Zhang (* equal contribution)

Association for the Advancement of Artificial Intelligence (AAAI) 2025

Large Language Models (LLMs) have revolutionized text generation, making detecting machine-generated text increasingly challenging. Learn more

All publications