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Qinxun Bai

Machine Learning Researcher

Qinxun Bai is a Senior Research Scientist in the General AI Lab at Horizon Robotics.1 His work focuses on theoretical and applied machine learning, with a particular interest in introducing new mathematical perspectives and tools to the field.1

Research Interests

Bai's primary areas of expertise include:

  • Machine Learning
  • Computer Vision

As a researcher, he is committed to advancing the field of artificial intelligence by exploring innovative approaches and methodologies.12

Professional Background

Qinxun Bai is currently affiliated with Horizon Robotics Inc., where he contributes to cutting-edge research in AI and robotics.2 His work at the company likely involves developing and implementing advanced machine learning algorithms for various applications in robotics and computer vision.

Academic Contributions

Bai has made significant contributions to the academic community in his field. His research has been published and cited in scholarly literature, as evidenced by his Google Scholar profile.2 This indicates that his work has had an impact on the broader scientific community and has contributed to the advancement of knowledge in machine learning and computer vision.

Qinxun Bai's LinkedIn profile (username: qinxun-bai-777a2650) provides a platform for professional networking and showcases his expertise in the field of artificial intelligence and machine learning.1

Related Questions

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Qinxun Bai
Qinxun Bai, photo 1
Qinxun Bai, photo 2
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Experience

Senior Research Scientist at Horizon Robotics from Feb 2019 to Present
Senior Research Scientist at Hikvision Research America from Dec 2017 to Dec 2018; Researcher at Vicarious AI from Nov 2016 to Nov 2017; Research Assistant at Boston University from Sep 2010 to Oct 2016; Research Intern at Microsoft Research Cambridge from Jun 2014 to Aug 2014; Research Assistant at National Laboratory of Pattern Recognition, Chinese Academy of Sciences from Sep 2008 to Jun 2010; Software Engineer at National Laboratory of Pattern Recognition, Chinese Academy of Sciences from Sep 2006 to Jun 2008

Education

Ph.D. in Computer Science from Boston University (2010 - 2016); Master’s Degree in Pattern Recognition and Intelligent Systems from National Laboratory of Pattern Recognition, Chinese Academy of Sciences (2008 - 2010); Bachelor’s Degree in Electronic Engineering from Tsinghua University (2002 - 2006)

Location

San Francisco Bay Area