Resume
Academic Achievements
- Paper 'Remasking Discrete Diffusion Models with Inference-Time Scaling' accepted to NeurIPS 2025; paper 'Simple Guidance Mechanisms for Discrete Diffusion Models' accepted to ICLR 2025.
Research Experience
- Spent the summer of 2023 collaborating with Prof. Jian Ma at CMU.
Education
- Bachelor's degree in Computer Science and Technology from Tsinghua University (2020-2024) with honor; since 2025, a Ph.D. student in Computer Science at Cornell Tech, NYC, working under Prof. Volodymyr Kuleshov.
Background
- Research interests center around probabilistic generative models and their applications in scientific domains. Recently, developed a strong interest in diffusion language models.