Creating a learning machine.
B.E., Department of Software Engineering in Xi'an Jiaotong University, China, 2019
Computer Science MS in KAUST, 2021
Kai Yi is a PhD candidate in Optimization and Machine Learning Lab led by Professor Peter Richtarik
Kai Yi's current research interests include machine learning, optimization and computer vision. More specifically, he is working on zero-shot recognition, object recognition/detection, generative models, and data-efficient learning.
Education and early career
Kai Yi received his Computer Science MS from KAUST in Dec. 2021. Before that, he received B.Eng with honor from Department of Software Engineering, Xi’an Jiaotong University in June, 2019.
Kai Yi interned at Tencent AI Lab, CMU, NUS, and SenseTime.
Scientific focus/Research interest
- Machine Learning Optimization
- Federated Learning
- Data-Efficient Learning