Sensetime founder and artificial intelligence scientist Tang Xiaoou has died

Tang Xiaoou, artificial intelligence scientist and founder and chairman of SenseTime, has died at the age of 55.

According to public information, Tang Xiaoou was born in Anshan, Liaoning province in 1968. She is a professor in the Department of Information Engineering of the Chinese University of Hong Kong and an outstanding Scholar in the School of Engineering. She also serves as vice president of the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences and director of the Shanghai Artificial Intelligence Laboratory.

As the founder of SenseTime, a Chinese artificial intelligence technology company, Tang Xiaoou is best known for his innovative research and technological development in global face recognition technology.

After graduating from the University of Science and Technology of China in 1990, Tang Xiaoou went to the United States for further study. After receiving a master's degree from the University of Rochester in 1991, she entered the Massachusetts Institute of Technology in the United States for a doctorate. During this time, he began to work with facial recognition algorithms.

After receiving her PhD in 1996, Tang worked at the Chinese University of Hong Kong and Microsoft Research Asia, continuing her research in computer vision related fields.

He founded the Multimedia Lab at the Chinese University of Hong Kong in 2001 and worked at Microsoft Research Asia from 2005 to 2007, where Xiaoou Tang was Director of the Visual Computing Group. In 2008, he worked in the Multimedia Integration Technology Research Office of Shenzhen Institute of Advanced Technology as director and researcher.

In 2014, Sensetime was founded in the Multimedia Lab of the Chinese University of Hong Kong. In the field of computer vision technology and deep learning algorithms, Tang Xiaoou has been deeply engaged for many years. As a "pathfinder" in the industry, he also became the first Chinese editor-in-chief of IJCV (International Journal of Computer Vision).

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