|
||
About Me Dr. Quanming Yao currently is a tenure-track assistant professor at Department of Electronic Engineering, Tsinghua University. Before that, he spent three years from a researcher to a senior scientist in 4Paradigm INC, where he set up and led the company's machine learning research team. He obtained his Ph.D. degree at the Department of Computer Science and Engineering of Hong Kong University of Science and Technology (HKUST) in 2018 and received his bachelor degree at HuaZhong University of Science and Technology (HUST) in 2013. He is a receipt of Aharon Katzir Young Investigator Award (INNS), Forbes 30 Under 30 (China), and Google Fellowship (Google AI). |
||
Group | Publications | Course | Experience | Projects | Awards | Service |
||
Research Focus My research focus on making machine learning more adaptable, compact and econmic (i.e., parsimony Learning). I wish to develop easy and intuitive methods, which can be used by many others with, perhaps, not much professional knowledge of underneath methods. Current key words: automated machine learning, few-shot learning, meta-learning, in-context learning, knowledge graph Please check our perspective paper: "Knowledge-Aware Parsimony Learning". |
||
Recruitment
Various positions at both industry companies and Tsinghua University are avaliable.
|
||
Recent News --- old ones ---
|