Dr Luo’s research focuses on developing Computer Vision (CV) and AI technologies to understand human behaviors such as faces, emotions, actions and social relationships in order to advance human-AI paired systems that outperform their singular counterparts. His groundbreaking researches include delving deeply into understanding the foundations of deep neural networks including autonomous deep learning, normalization, and optimization of deep neural networks. His work also enables many popular applications of AI and computer vision such as generating and editing high-fidelity images and videos, as well as understanding fashion trends by analyzing clothing images.
About Ping Luo
Ping is an Assistant Professor in Computer Science at the University of Hong Kong. He received his PhD in 2014 from the Chinese University of Hong Kong under the supervision of Xiaoou Tang (founder of SenseTime) and Xiaogang Wang. Previously a Director at SenseTime Research, Ping has been published in more than 70 top-tier conferences and journals such as TPAMI, ICML, ICLR, NeurIPS, and CVPR, with 8500 citations in Google Scholar. He has won many awards such as the first runner-up in the 2014 ImageNet ILSVRC Challenge and the 2013 Microsoft Research Fellow Award.