Quanming Yao (姚权铭)

Leading Researcher @ 4Paradigm

E-mail: yaoquanming [AT] 4paradigm.com or qyaoaa [AT] connect.ust.hk

Hong Kong

Github and CV(May, 2019)

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About Me

I obtained my Ph.D degree at Department of Computer Science and Engineering in Hong Kong University of Science and Technology (HKUST) in Jan. 2018. Before that, I got my bachelor degree at HuaZhong University of Science and Technology (HUST) in 2013. There, I acted as a software consultant of 'Dian Group' for two years, and was a half-year internship at Multi-media and Communication Lab (McLab) doing about image classification. I am a Google Fellowship (machine learning) winner in 2016.

Research Focus

My research focus on making machine learning faster, more compact and robust. I wish to develop easy and intuitive methods, which can be used by many others with, perhaps, not much professional knowledge of underneath methods.
  • Topics in progress: (a). Automatic machine learning; (b). (Knowledge) graph embedding; (c). Nonconvex optimization for machine learning; and (d). Robust learning with noisy label.
  • Previous topics: (a). Faster and more compact convolution methods; (b). Low-rank optimization and modeling; (c). Recommender system; and (d). Network compression.

Research Group@4Paradigm

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