Yaochen Hu
Scholar

Yaochen Hu

Google Scholar ID: VMwM-ZwAAAAJ
Huawei Technologies Canada, University of Alberta
Large scale machine learningOptimizationRecommender systemsApproximation algorithmsStatistical machine learning
Citations & Impact
All-time
Citations
606
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in international conferences such as SIGIR, KDD, etc., covering areas like recommendation systems, privacy-preserving distributed feature learning, and more.
Research Experience
  • A researcher with Huawei Noah's Ark Lab Montreal Research Center.
Education
  • Received bachelor's degree from the Department of Electrical and Information Engineering at Huazhong University of Science and Technology; Ph.D. degree from the Department of Electrical and Computing Engineering at the University of Alberta.
Background
  • Interested in a wide area of topics, from applicational scenarios to fundamental theoretical problems. Specifically, interested in realistic large-scale recommender systems, distributed systems and parallel computation. Also worked on the load balancing problem for distributed erasure-coded systems. Recently started to explore the application of Bayesian analysis in graph neural networks.
Miscellany
  • Admires insightful science or art achievements that result from the inspiration and perspiration of people who have a relentless pursuit of truth and beauty.