Ling Yang ζ¨η΅
Postdoctoral Scholar · Princeton University
I am currently a Postdoctoral Scholar in the Department of ECE at Princeton University, co-affiliated with Princeton AI Lab, fortunately working with Prof. Mengdi Wang. Prior to this, I served as a Senior Research Assistant at Princeton University from January to July 2025. I received my Ph.D. degree from Peking University in July 2025, jointly supervised by Prof. Bin Cui and Prof. Luxia Zhang. During my doctoral studies, I was selected for the ByteDance Top Seed Talent Program.
I was also fortunate to collaborate with Yang Song, Shuicheng Yan, Ming-Hsuan Yang, Bernard Ghanem, Jiajun Wu, Stefano Ermon, Jure Leskovec, Yejin Choi, and James Zou.
I currently focus on developing advanced generative models, including their training methodologies, architecture design, alignment, inference efficiency and applications. I am in charge of a research team at Princeton and have led a series of works on LLMs/MLLMs and Diffusion Models, including RPG-DiffusionMaster 
Open Positions
We are looking for collaborators for research in LLM/MLLM Post-Training, Diffusion LLMs, World Modeling, and Agent Training. Positions are available across multiple levels and institutions:
Intern Research
Master's Student
PhD Student
Postdoc Researcher
π Peking University
π Princeton University
π Stanford University
We take collaboration seriously β please make sure the following apply before reaching out:
- 01Self-motivated β you drive your own execution and don't need to be pushed to make progress.
- 02Full commitment of 3+ months β you can dedicate yourself entirely to the project without major competing obligations.
- 03Fast execution β we define the research direction; you move quickly, iterate efficiently, and deliver results.
In return, we offer:
- β¦Frontier research perspective β direct exposure to the latest ideas and ongoing work at the cutting edge of generative AI.
- β¦Substantial compute resources β access to the compute you need to run large-scale experiments without bottlenecks.
- β¦Strong connections β academic network spanning Stanford, Princeton, MIT, PKU, Tsinghua and other top institutions, plus industry partners including Google DeepMind, ByteDance, Apple, Microsoft, and Meta.