Scholar
Jiayi Shen
Google Scholar ID: mKWLgosAAAAJ
Amazon; UT Austin; TAMU
Citations & Impact
Citations
286
H-index
7
i10-index
6
Publications
10
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- [ICLR'21] Learning a Minimax Optimizer: A Pilot Study, introduced the Twin L2O framework; [ICLR'21] UMEC: Unified model and embedding compression for efficient recommendation systems, proposed the UMEC framework; [ICML'20] Eliminating the Invariance on the Loss Landscape of Linear Autoencoders, proposed a new loss function to address invariance issues in linear autoencoders.
Research Experience
- Research Intern, Kuaishou AI Lab, May 2020 – Aug 2020, Seattle; Research Assistant, UT Southwestern Medical Center, May 2019 – Aug 2019, Dallas; Research Assistant, University of Science and Technology of China, Jun 2017 – May 2018, Hefei, China.
Education
- Ph.D. Student in Computer Science, 2018 - Present, Texas A&M University; BSc in Statistics, 2013 - 2017, University of Science and Technology of China.
Background
- Research interests: Learning to Optimize, Model Compression, Computer Vision. Currently a Ph.D. student at Texas A&M University, under the supervision of Dr. Zhangyang (Atlas) Wang.
