Yujun Lin is a research scientist at NVIDIA. He finished his PhD at MIT, advised by Prof. Song Han. His research area is efficient deep learning, with a special focus on the co-design of algorithm, system and hardware for foundation models (diffusion models, LLMs, etc). His work has been featured as oral and spotlight presentations at conferences such as ICLR, NeurIPS, Micro, HPCA and MLSys.
