Moshi Wei

According to our database, Moshi Wei authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Assessing Evaluation Metrics for Neural Test Oracle Generation.

Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang

IEEE Trans. Software Eng., September, 2024

The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks.

Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang

ACM Trans. Softw. Eng. Methodol., February, 2024

Checker Bug Detection and Repair in Deep Learning Libraries.

Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Jiho Shin, Moshi Wei, Gias Uddin, Jinqiu Yang, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan

CoRR, 2024

Demystifying and Detecting Misuses of Deep Learning APIs.

Moshi Wei, Nima Shiri Harzevili, Yuekai Huang, Jinqiu Yang, Junjie Wang, Song Wang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Effectiveness of ChatGPT for Static Analysis: How Far Are We?

Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang

Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

2023

CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing.

Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang

IEEE Trans. Reliab., September, 2023

A Survey on Query-based API Recommendation.

Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang

CoRR, 2023

SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models.

Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang

CoRR, 2023

Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge.

Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang

CoRR, 2023

Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory.

Omar Alhussein, Moshi Wei, Arashmid Akhavain

Proceedings of the IEEE Global Communications Conference, 2023

2022

Yet another combination of IR- and neural-based comment generation.

Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang

Inf. Softw. Technol., 2022

API recommendation for machine learning libraries: how far are we?

Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

CLEAR: Contrastive Learning for API Recommendation.

Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We?

Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

CoCoNuT: combining context-aware neural translation models using ensemble for program repair.

Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

2019

ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair.

Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan

CoRR, 2019