Sen Fang

KTH Royal Institute of Technology

avatar.jpg

LINDSTEDTSVÄGEN 5, PLAN 5, 1548

Brinellvägen 8

Stockholm, Sweden

Hello! I am a research engineer at the KTH Royal Institute of Technology, under the guidance of Prof. Martin Monperrus. I obtained a Master’s degree from Central China Normal University. I am deeply fascinated by the intersection of machine learning and software engineering, with a particular focus on AI4SE, LLM4Code, and SE4AI.

My current research primarily revolves around program repair, specifically investigating the effective utilization of LLMs in developing practical, automated program repair models. For those who share an interest in this topic, I invite you to explore my latest work, RepairLLaMA, which provides insights and advancements in this domain.

In my leisure time, I enjoy Japanese Anime and channeling my creativity into writing novels. Additionally, I have a passion for exploring different computer games. A heartfelt thanks to my sweetheart Kiki, whose generosity has expanded my gaming adventures with numerous new additions to my collection.

news

Apr 30, 2024 I finally decided to accept PhD offer from NC State University and start my PhD career at 2024 Fall.
Mar 04, 2023 Start a internship at KTH Royal Institute of Technology!
Dec 09, 2022 One paper got accepted by ICSE 2023!

selected publications

  1. Effective prediction of bug-fixing priority via weighted graph convolutional networks
    Sen Fang ,  You-shuai Tan ,  Tao Zhang , and 2 more authors
    IEEE Transactions on Reliability, 2021
  2. Supersonic: Learning to generate source code optimisations in c/c++
    Zimin ChenSen Fang ,  and  Martin Monperrus
    arXiv preprint arXiv:2309.14846, 2023
  3. RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair
    André SilvaSen Fang ,  and  Martin Monperrus
    arXiv preprint arXiv:2312.15698, 2023
  4. RepresentThemAll: A Universal Learning Representation of Bug Reports
    Sen FangTao Zhang ,  Youshuai Tan , and 3 more authors
    In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) , 2023
  5. Generative AI to Generate Test Data Generators
    Benoit BaudryKhashayar EtemadiSen Fang , and 7 more authors
    arXiv preprint arXiv:2401.17626, 2024