Chenyan Liu /tʃən iən ljuː/
(刘晨彦)

👋 About me

  • Hello, I’m Chenyan!
  • I am a 2nd year PhD student at the National University of Singapore (NUS), Singapore.
  • I am supervised by Dr. Yun LIN, Dr. Jin Song DONG and Dr. ZhiYong HUANG in the PLSE Lab.
  • My research interest is machine learning, specifically AI for software engineering.

🔥 News

  • 2024.03:  🎉🎉 Our paper CoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature has been accepted by ISSTA’24.

📝 Publications

(# refers to equal contribution)

  • Nie H, Wang W, Dai R, Liu C, et al. Multi-Hop D2D Cluster Formation and Resource Allocation for Scalable Video Multicast[C]//ISPA 2024-2024 IEEE International Symposium on Parallel and Distributed Processing with Applications. IEEE, 2024.
ISSTA'24
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  • Liu C#, Cai Y#, Lin Y, Huang Y, et al. CoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature[C]//Proceedings of the 33rd ACM SIG- SOFT International Symposium on Software Testing and Analysis. 2024: 466-478 [Homepage] [PDF] [GitHub]

  • Cai Y, Lin Y, Liu C, et al. On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models[J]. Advances in Neural Information Processing Systems, 2024, 36. [Homepage] [PDF]

  • Liu C, Wang W, Dai R, et al. A Real-Time Scalable Video Distribution Strategy Based on Dynamic Coalition and D2D Broadcast[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 19-24. [PDF]

📖 Educations

  • 2023.08 - Present, Ph.D. in Computer Science, National University of Singapore (NUS).
  • 2021.08 - 2023.03, M.S. in Computer Science, National University of Singapore (NUS).
  • 2017.09 - 2021.06, B.S. in Computer Science, Huazhong University of Science and Technology (HUST).

🎖 Honors and Awards

  • 2024.11 3rd/74 in Prototype System Competition for Software Research Achievements, China Computer Federation (CCF).
  • 2024.08 Research Achievement Award, NUS.
  • 2021.06 Outstanding Undergraduate Student, HUST.
  • 2018.11 Merit Student (top 5%), HUST.
  • 2018.03 Outstanding Entrants Scholarship, School of Computer Science and Technology, HUST.

👨‍🏫 Teaching

  • 2024 Spring, Teaching Assistant, CS4248 Natural Language Processing, NUS.
  • 2024 Fall, Teaching Assistant, CS5228 Knowledge Discovery and Data Mining, NUS.