Dr. Chen Zhao is currently a Research Scientist of Artificial Intelligence Initiative at King Abdullah University of Science and Technology (KAUST), and Lead of the Video Understanding Theme in the Image and Video Understanding Lab (IVUL). She received her Ph.D. degree from Peking University (PKU), China in 2016. She studied in University of Washington (UW), US from 2012 to 2013, and at the National Institute of Informatics (NII), Japan in 2016. Her research interests include computer vision and deep learning, with a focus on video understanding. She has published 40+ papers on representative journals and conferences such as T-PAMI, CVPR, ICCV, ECCV, and has received over 2500 citations according to Google Scholar. She has been serving as a reviewer in T-PAMI, T‑IP, T‑CSVT, CVPR, ICCV, ECCV, NeurIPS, ICLR, etc. and was recognized as Outstanding Reviewer in CVPR 2021. She received the Best Paper Award in CVPR workshop 2023, the Best Paper Nomination in CVPR 2022 (top 0.4%), and the Best Paper Award in NCMT 2015. She was also awarded the scholarship of Outstanding Talent in Peking University, First Prize of the Qualcomm Innovation Fellowship Contest (QInF) (only 2 in China), the Goldman Sachs Global Leaders Award (only 150 worldwide), and National Scholarship, etc.