Scholar
Yejia Liu
Google Scholar ID: bST-gYQAAAAJ
University of California, Riverside
Citations & Impact
Citations
140
H-index
5
i10-index
5
Publications
13
Co-authors
0
Publications
Resume
Academic Achievements
- Published multiple papers in conferences such as ICML 2024, HotCarbon 2024, HotEthics 2024, TinyML 2024, NeurIPS 2022, VLDB 2022, etc.
Research Experience
- PhD Student, UC Riverside; Data Scientist Intern, Microsoft, Jun 2023 – Sep 2023 and Jun 2024 – Sep 2024; Software Engineer (Full-Time), Tencent Cloud Infra, Aug 2019 – Apr 2020; Software Engineer (Full-Time), Amazon Web Services, Sep 2018 – Jun 2019; Software Engineer Intern, Amazon Web Services, May 2017 – Aug 2017.
Education
- Ph.D. in Computer Science, 2021 - Present, UC Riverside, Advisor: Prof. Shaolei Ren; M.S. in Computer Science, 2016 - 2018, Simon Fraser University; B.Eng. in Software Engineering, 2012 - 2016, South China University of Technology.
Background
- Research interests: Responsible AI, Continual Learning, and Efficiency on Edge Intelligence. Previously, held positions as a Cloud Software Engineer at Amazon and Tencent. Master's degree supervised by Prof. Oliver Schulte and Prof. Jiannan Wang.
Miscellany
- Enjoys traveling, playing the GuZheng, and savoring tasty food during leisure time.