Xie Enze is a Senior Research Scientist at NVIDIA Research. He obtained his PhD from HKU MMLab in 2022. His current research focuses mainly on efficient video generation pre-training, post-training and acceleration.
Xie Enze has published over 40 top conference/journal papers, including TPAMI, CVPR, ICCV, ICML, ICLR, NeurIPS, ACL, with 8 first-author papers. His research papers have been cited over 17,000 times on Google Scholar, with two papers individually cited over 4,000 times. His representative work, SegFormer, was praised by NVIDIA as visionary research. He has been recognized as a Stanford Global 2% Scientist in 2023, received the NVIDIA Fellowship Finalist Award 2022 (15 candidates worldwide), and the Outstanding Paper Award at the World Artificial Intelligence Conference (WAIC) 2023 (10 papers worldwide).
