MasterI am a master's student majoring in Electronic Information (Artificial Intelligence) at South China University of Technology. Previously, I participated in a non-degree research program at the NUS (Chongqing) Research Institute, where I focused on reinforcement learning and multimodal large models.
My research interests center on Large Language Models and Agents. 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 such as AAAI and CVPR.
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South China University of TechnologyFuture Technology Institute
Master in Electronic Information (Artificial Intelligence)Sep. 2025 - present -
NUS (Chongqing) Research InstituteResearch Student in ECE (Non-degree)Sep. 2024 - Jun. 2025
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South China University of TechnologyFuture Technology Institute
Bachelor in Artificial IntelligenceSep. 2021 - Jun. 2025
Experience
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TENCENT - LIGHTSPEED STUDIOSNLP Research InternMay. 2025 - August. 2025
Honors & Awards
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First Prize in the "Greater Bay Area Cup" Guangdong-Hong Kong-Macao Financial Mathematics Modeling Competition2023
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Second Prize in the Asia and Pacific Mathematical Contest in Modeling2023
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University Third-Class Scholarships2022 - 2024
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Excellence Group Third Class Scholarship2022
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EVE Energy Third Class Scholarship2023
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Hongping Evergreen Scholarship2024
News
Selected Publications
Symbolic Representation for Any-to-Any Generative Tasks
Jiaqi Chen*, Xiaoye Zhu*, Yue Wang*, Tianyang Liu, Xinhui Chen, Ying Chen, Chak Tou Leong, Yifei Ke, Joseph Liu, Yiwen Yuan, Julian McAuley, Li-jia Li (* equal contribution)
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2025
We propose a symbolic generative task description language and inference engine, capable of representing arbitrary multimodal tasks as symbolic flows.
Symbolic Representation for Any-to-Any Generative Tasks
Jiaqi Chen*, Xiaoye Zhu*, Yue Wang*, Tianyang Liu, Xinhui Chen, Ying Chen, Chak Tou Leong, Yifei Ke, Joseph Liu, Yiwen Yuan, Julian McAuley, Li-jia Li (* equal contribution)
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2025
We propose a symbolic generative task description language and inference engine, capable of representing arbitrary multimodal tasks as symbolic flows.
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 Oral
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 Oral
Large Language Models (LLMs) have revolutionized text generation, making detecting machine-generated text increasingly challenging. Learn more