Yujun Lin

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.

Yonggan Fu

Yonggan Fu obtained his PhD from Georgia Institute of Technology in May 2025. Prior to that, he received his Bachelor's degree with a dual major in Applied Physics and Computer Science from the School of The Gifted Young at the University of Science and Technology of China in 2019. He is a recipient of IBM PhD Fellowship and was selected as Machine Learning and Systems Rising Stars 2023.

Yukang Chen

Hello! I am a Research Scientist in NVIDIA Research, working with Prof. Song Han. I got my Ph.D degree in CUHK. My research projects focuses on LongAI, that is "Boost AI's Long ability while staying Efficient". My representative works include VoxelNeXt, LongLoRA, and LongVILA.

Baptiste Nicolet

Baptiste Nicolet is a Senior Research Scientist in the Graphics, Communications, and Machine Learning team at NVIDIA Research. He obtained a Ph.D. in Computer Science from EPFL in 2025, focusing on inverse light transport simulation. In his free time, Baptiste likes to climb, swim, and tinker with 3D printers.

Yuyang Zhao

Dr. Yuyang Zhao is a Research Scientist at NVIDIA Research, working with Prof. Song Han. He obtained his Ph.D. degree from National University of Singapore, advised by A/P Gim Hee Lee.  

His research interests mainly lie in image, video and 3D generation.

Jindong Jiang

Jindong is a research scientist in the Learning and Perception Research (LPR) team of NVIDIA Research. Prior to joining NVIDIA, Jindong was a PhD student at Rutgers University under the supervision of Prof. Sungjin Ahn. His research interests lie at the intersection of representation learning and visual reasoning, with a strong interests in developing novel architectures that can improve agent's visual reasoning capabilities.