Lingchao Pan

ORCID: 0009-0003-6251-6977
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About
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Research Areas
  • Advanced Graph Neural Networks
  • Advanced Photocatalysis Techniques
  • CO2 Reduction Techniques and Catalysts
  • Catalytic Processes in Materials Science
  • Advanced Bandit Algorithms Research
  • Recommender Systems and Techniques

Northwestern Polytechnical University
2023

Prediction models for click-through rate (CTR) learn feature interactions underlying user behaviors, which are crucial in recommendation systems. Due to their size and complexity, existing approaches have a limited range of applications. In order decrease inference delay, knowledge distillation techniques been used the student model's lower capacity, process is less effective when there significant difference complexity network architecture between teacher model model.

10.1145/3539618.3591958 article EN Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2023-07-18
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