I am a first-year Ph.D. student at Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Chongxuan Li.
My research interests lie in deep generative models and reinforcement learning. Recently, I have been focusing on diffusion language models.
🎓 Education
- 2025.09 - Present,
Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China, Ph.D. Student - 2021.09 - 2025.6,
School of Information, Renmin University of China, Beijing, China, Undergraduate
📝 Papers 
- Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data.
Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li
International Conference on Learning Representations (ICLR), 2025
Proves that masked diffusion models admit a simplified training objective and a time-independent network parameterization,
both of which have since become standard.
[Paper] [Code] [Poster]
🏅 Awards
- Outstanding Undergraduate Thesis (1 recipient per department), 2025
- Finalist, Mathematical Contest in Modeling (top 2%), 2023
- National First Prize, National College Student Mathematical Modeling Competition (top 0.60%), 2022
💻 Internships
- 2026.1 - Present, Alibaba, Beijing, China .
- 2025.3 - 2025.12, Ant Research, Beijing, China .