Guanghan Wang
Scholar

Guanghan Wang

Google Scholar ID: umHEjvIAAAAJ
Cornell University
machine learningdeep generative modelsAI4Science
Citations & Impact
All-time
Citations
65
 
H-index
4
 
i10-index
3
 
Publications
5
 
Co-authors
0
 
Resume (English only)
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.
Co-authors
0 total
Co-authors: 0 (list not available)