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Who is better, Jia or He?
Jia and He have their own strengths, so it is impossible to directly judge who is better.

1, Jia

Alibaba Group is a senior expert in artificial intelligence and big data. His research direction is mainly AI and big data, and he has rich industrial experience.

2. He Mingkai

An expert in the field of computer vision, whose research direction is mainly computer vision, has rich academic experience. If he is a young man in academia, then Jia is a young man in industry. Big Brother He Mingkai has not officially joined MIT, but the first cooperative research with MIT has come out: he and MIT teachers and students have developed a self-conditioned image generation framework called RCG (code is open source).

Characters experience of He Mingkai:

He was born in 1984 and grew up in Guangzhou. When I was studying in Guangzhou Zhixin Middle School, I won the first prize in the National Physics Competition and the first prize in the Guangdong Chemical Competition. In May, 2003, he won the first prize in the National Physics Competition and was admitted to the major of Mechanical Engineering and Automation in Tsinghua University. In June, he chose to continue the college entrance examination and scored 900 points, becoming one of the top nine champions in Guangdong Province that year.

In September, 2003, after he entered Tsinghua University, he gave up the major recommended for free and chose the basic science class instead. During his college years, he won the Tsinghua Scholarship for three consecutive years. In 2007, He joined Microsoft Research Asia (MSRA) as an intern before graduation. Out of interest in computer graphics and images, he chose to join the visual computing group of MSRA, with Sun Jian politician as the internship tutor.

After graduating from undergraduate course, he entered the Chinese University of Hong Kong to follow Tang Xiaoou as a graduate student. During this period, he still participated in related research at Microsoft Research Asia. In 2009, He's first paper won the Best Paper Award at the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). This is the first time that scholars from China and even Asia have won this award since CVPR was founded 25 years ago.