何恺明新身份：谷歌DeepMind杰出科学家

Core Viewpoint - The article discusses the recent news of Kaiming He joining Google as a part-time Distinguished Scientist at DeepMind, highlighting his significant contributions to the field of AI and computer vision [2][4][24]. Group 1: Kaiming He's Background and Achievements - Kaiming He achieved the highest score in the 2003 Guangdong Province college entrance examination and was admitted to Tsinghua University [8]. - He completed his PhD at the Chinese University of Hong Kong under the supervision of Xiaoguo Tang and has held positions at Microsoft Research Asia, Facebook AI Research, and MIT [9]. - His research has received multiple awards, including the best paper award at CVPR in 2009 and 2016, and he has over 710,000 citations according to Google Scholar [10][12]. Group 2: Research Contributions - Kaiming He's most notable work includes the ResNet paper published in 2016, which has been cited over 280,000 times and is considered one of the most cited papers of the 21st century [15][18]. - His research addresses the gradient propagation problem in deep networks, establishing fundamental components for modern deep learning models [18][19]. - He has also contributed to the development of the Masked Autoencoders model, which has gained popularity in the computer vision community [20]. Group 3: Future Prospects at Google - The article expresses anticipation for Kaiming He's potential contributions at Google, particularly in the area of generative modeling, as suggested by his recent research [6][24].