Mike Zheng SHOU
Dr. Mike Zheng Shou is a leading researcher in multimodal artificial intelligence, with a strong focus on video understanding and video generation. He is currently a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at theNational University of Singapore(NUS), where he has been serving since May 2021. He also leads the Show Lab, a research group at NUS dedicated to advancing intelligent video systems. His work combines computer vision and deep learning to develop systems that allow machines to understand actions, events, and complex visual information in videos.
Dr. Shou received his Doctor of Philosophy degree in Electrical and Electronics Engineering fromColumbia Universityin 2019, where he was advised by Professor Shih-Fu Chang. He completed his research with a perfect academic record. During his doctoral studies, he was awarded the Wei Family Private Foundation Fellowship from 2014 to 2017 in recognition of his research contributions. Before joining NUS, Dr. Shou worked as a Research Scientist atFacebookAI in the San Francisco Bay Area from 2019 to 2021. He also held research internship positions at Facebook in 2018 and atMicrosoftin 2017.
In 2021, Dr. Shou was awarded the Singapore National Research Foundation (NRF) Fellowship, one of the country’s highest honours for early-career researchers. His fellowship project, titled“Towards Next-generation Video Intelligence: Training Machines to Understand Actions and Complex Events”, supports independent research in Singapore. His research has applications across self-driving vehicles, care robots for elderly support, smart surveillance systems, social media recommendation systems, and intelligent video creation tools for journalism and filmmaking.
Dr. Shou has made major research contributions in video-language models and video diffusion systems. His publication“Tune-A-Video”(ICCV 2023) introduced the first open-source video diffusion model and has received wide adoption in the research community. His work“Egocentric Video-Language Pretraining”(NeurIPS 2022) pioneered foundation models for egocentric video. He has also published influential papers at CVPR, ECCV, ICCV, and NeurIPS.
His research team has won first place in several major international challenges, including ActivityNet 2017, EPIC-Kitchens 2022, and Ego4D in 2022 and 2023. He has received Best Student Paper nomination at CVPR 2017 and Best Paper Finalist recognition at CVPR 2022. Dr. Shou regularly serves as Area Chair for top international conferences, including CVPR, ICCV, ECCV, and ACM Multimedia. He is a Fellow of Singapore’s National Research Foundation and was named to the Forbes 30 Under 30 Asia list, reflecting his global impact in artificial intelligence research.
