Meiziniu Li

Orcid: 0000-0001-5947-4030

According to our database1, Meiziniu Li authored at least 10 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair.
Autom. Softw. Eng., June, 2025

From Informal to Formal - Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
DLLens: Testing Deep Learning Libraries via LLM-aided Synthesis.
CoRR, 2024

Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
COMET: Coverage-guided Model Generation For Deep Learning Library Testing.
ACM Trans. Softw. Eng. Methodol., September, 2023

2022
SemMT: A Semantic-Based Testing Approach for Machine Translation Systems.
ACM Trans. Softw. Eng. Methodol., 2022

MEMO: Coverage-guided Model Generation For Deep Learning Library Testing.
CoRR, 2022

DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Facilitating Continuous Text Messaging in Online Romantic Encounters by Expanded Keywords Enumeration.
Proceedings of the Companion Computer Supported Cooperative Work and Social Computing, 2022

2020
SemMT: A Semantic-based Testing Approach for Machine Translation Systems.
CoRR, 2020


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