Scholar
Ling Yang
Google Scholar ID: sIKujqAAAAAJ
Postdoc@Princeton University, PhD@Peking University
Citations & Impact
Citations
4,781
H-index
22
i10-index
39
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in areas such as diffusion model foundations, language model innovations, large-scale reinforcement learning, etc. Authored the book 'Diffusion Model: Theory, Application, and Code Practice of Generative AI Models' and was selected as Annual Outstanding Author. Won Best Paper Award at ICCV 2025 Workshop on Multi-Modal Reasoning for Agentic Intelligence, and had multiple papers accepted by NeurIPS 2025, EMNLP 2025, ACM MM 2025, etc.
Research Experience
- Served as a Senior Research Assistant at Princeton University from January to July 2025. Currently in charge of a research team, leading a series of works on LLMs/MLLMs and Diffusion Models, such as RPG-DiffusionMaster, MMaDA, etc.
Education
- Received Ph.D. degree from Peking University in July 2025, jointly supervised by Prof. Bin Cui and Prof. Luxia Zhang. During doctoral studies, was selected for the ByteDance Top Seed Talent Program.
Background
- Currently a Postdoctoral Scholar in the Department of ECE at Princeton University, co-affiliated with Princeton AI Lab. Research interests include developing advanced generative models, including their training methodologies, architecture design, alignment, inference efficiency, and applications.
Miscellany
- Welcomes self-motivated students and insightful collaborators to join the research team, exploring areas like LLM/MLLM post-training, diffusion LLMs, world modeling, agent training, etc. Feel free to reach out via Email or WeChat for potential collaborations or discussions.
