Hongtao Liu
Scholar

Hongtao Liu

Google Scholar ID: lcuYUwoAAAAJ
Du Xiaoman Financial
LLMRecommender System
Citations & Impact
All-time
Citations
1,115
 
H-index
15
 
i10-index
24
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Published multiple technical blog posts covering a wide range of topics from theory to practice, including but not limited to distributed training techniques, application of loss functions in machine learning, and how to deploy Flask+MongoDB+Nginx environments using Docker.
Research Experience
  • Involved in several projects related to natural language processing, such as using Bert for sentiment classification experiments; conducted research on deep association reasoning models in community Q&A; explored deep recommendation systems based on review texts; and implemented a Pytorch version of the Factorization Machine algorithm.
Background
  • Research interests include but are not limited to: distributed training (PyTorch DDP), natural language processing models (such as Bert, ELMo), and applications of recommendation systems combined with knowledge graphs.
Miscellany
  • Enjoys listening to music; uses programming to solve practical problems, like improving program efficiency using Python's futures module; shared life reflections and personal insights from 2018 to 2020.