I am a Research Scientist in Efficient Generative AI at NVIDIA’s Deep Imagination Research Team, and a finishing PhD candidate at the Vrije Universiteit Amsterdam. My research interests include all aspects of efficiency in Deep Learning, particularly the computational and parameter efficiency of long-context models and their application to generative models.

Tianye Li joined NVIDIA Research as a Research Scientist in 2023. His research interest is in computer vision and computer graphics, especially in capturing, modeling, understanding dynamic humans. He is also interested in 3D/4D reconstruction and photorealistic rendering of generic scenes and objects. He obtained his Ph.D. in Computer Science from University of Southern California (USC), where he was advised by Prof. Hao Li and Prof. Randall Hill, Jr. He was a research scientist at Epic Games, and interned at MPI for Intelligent Systems, Snap Research, and Facebook/Meta Reality Labs.

I am a principal research scientist at NVResearch. My current research interest is efficient Large Language Model (LLM) and Vision Language model (VLM). Before joining NVidia, I was a TLM at Google Deepmind where I worked on reinforcement learning, imitation learning on embodied AI. I co-led "SayCan", "RT-1", "RT-2", "RT-X" etc. that have been featured extensively by media, such as New York Times, Washington Post, Forbes, Reuters, TechCrunch, The WIRED, etc.

Wen-Hao Liu, received his Ph.D. degree in Computer Science from National Chiao Tung University, Taiwan in 2013. His research interests include routing, placement, clock synthesis, logic synthesis, and 3D-IC in electronic design automation (EDA) field. Wen-Hao has published more than 40 papers and 15 patents in this field, and he has served on the technical program committee of DAC, ICCAD, ISPD, and ASPDAC. Currently, Wen-Hao works at Nvidia Research as a Principal Research Scientist to explore the solutions for advanced VLSI-related challenges.