Heliang Xu

ORCID: 0009-0003-8746-6072
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About
Contact & Profiles
Research Areas
  • Smart Agriculture and AI
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Spectroscopy and Chemometric Analyses
  • Leaf Properties and Growth Measurement
  • Recommender Systems and Techniques

Henan University of Technology
2024

News recommender system is an important method of helping readers identify interesting stories. Although human behaviors exhibit sequential patterns, most current studies on news recommendations ignore the influence reading sequences. Leveraging patterns in recommendation is, however, very challenging, as capture behavior sequence at individual level may be impossible due to severity sparsity field news. To address this challenge, we proposed a group-sequence-aware graph model (GSGM) learn...

10.2139/ssrn.4720375 preprint EN 2024-01-01

In the process of rice production, pests are one main factors that cause yield reduction. To implement prevention and control measures, it is necessary to accurately identify types diseases. However, application image recognition technologies focused on agricultural field, especially in field disease pest identification, relatively limited. Existing research diseases has problems such as single data types, low volume, accuracy. Therefore, we constructed dataset (RPDD), which was expanded...

10.3390/insects15110827 article EN cc-by Insects 2024-10-23
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