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conf.researchr.org / Lun Du
  • ECOOP and ISSTA 2023 profile
  • ICSE 2022 profile
  • ICSE 2023 profile
  • ICSE 2025 profile
Lun Du

Registered user since Wed 5 Jan 2022

Name:Lun Du
Country:China
Affiliation:Microsoft Research
Personal website: https://www.microsoft.com/en-us/research/people/ludu/
Research interests:Machine Learning, Data Mining, Graph Learning

Contributions

2025

ICSE

  • Author of SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing within the Research Track-track

Forge

  • Author of SoTaNa: An Open-Source Software Engineering Instruction-Tuned Model within the Research Papers-track

2023

ISSTA

  • Author of Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond within the Technical Papers-track

ICSE

  • Author of CoCoSoDa: Effective Contrastive Learning for Code Search within the Technical Track-track

2022

ICSE

  • Author of On the Evaluation of Neural Code Summarization within the Technical Track-track
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