Yang Yi
|
- Associate Professor
- Name (Simplified Chinese):Yang Yi
- Name (English):Yang Yi
- Date of Birth:1978-07-04
- E-Mail:
- Education Level:Postgraduate (Postdoctoral)
- Degree:Doctoral degree
- Professional Title:Associate Professor
- Status:Employed
- Teacher College:DZGCX
- Discipline:Signal and Information Processing
Contact Information
- ZipCode：
- PostalAddress：
- OfficePhone：
- Email：
- Profile
- Research Focus
- Honors & Awards
- Social Affiliations
Dr. Yang Yi is Associate Professor of Department of Electronic Engineering at the Tsinghua University. She joined at the Department of Electronic Engineering of Tsinghua University as postdoctoral fellows in 2009. She earned her Ph.D. degree of pattern recognition and artificial intelligence from Beijing University of Science and Technology in 2007. She previously worked at Huawei Technologies Co. Ltd and was an algorithm Engineer. She is interested in large language models and media content understanding.
- Zheng Junli Award for Excellence in Teaching and Education (2023)
- Outstanding Advisor for the Undergraduate Research Training Program (2018)
- First Prize for Outstanding Class Advisor, Tsinghua University (2017)
- Advisor for the MCM/ICM Honorable Mention Award (Mathematical Contest in Modeling, USA) (2016)
- Outstanding Advisor for the 34th "Challenge Cup" Student Competition, Tsinghua University (2016)
- IEEE member, ACM member, CCF Senior member
Education Background
1.2001.9-2007.4
Beijing University of science and technology | Department of Automation | Doctoral degree
2.1995.9-1999.7
Beijing University of science and technology | Department of Automation | Bachelor's degree
Positions & Employments
1.2014.12-Now
Tsinghua University | Department of Electronic Engineering | Associate Professor
2.2011.6-2014.12
Tsinghua University | Department of Electronic Engineering | Assistant Researcher
3.2009.6-2011.6
Tsinghua University | Department of Electronic Engineering | Postdoctoral
4.2007.4-2009.5
Huawei Technologies Co. Ltd | Algorithm Engineer
Research Group
1.Name of Research Group:large language models and media content understanding