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ORCIDMoshi Wei
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2020 – today
- 2024
[j4]Jiho Shin
, Moshi Wei, Junjie Wang, Lin Shi, Song Wang:
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. ACM Trans. Softw. Eng. Methodol. 33(2): 51:1-51:24 (2024)- [j3]Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang:
Assessing Evaluation Metrics for Neural Test Oracle Generation. IEEE Trans. Software Eng. 50(9): 2337-2349 (2024) - [c7]Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang:
Effectiveness of ChatGPT for Static Analysis: How Far Are We? AIware 2024 - [c6]Moshi Wei, Nima Shiri Harzevili, Yuekai Huang, Jinqiu Yang, Junjie Wang, Song Wang:
Demystifying and Detecting Misuses of Deep Learning APIs. ICSE 2024: 201:1-201:12 - 2023
- [j2]Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang:
CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing. IEEE Trans. Reliab. 72(3): 1276-1289 (2023) - [c5]Omar Alhussein, Moshi Wei, Arashmid Akhavain:
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory. GLOBECOM 2023: 4625-4631 - [i9]Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang:
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. CoRR abs/2305.09082 (2023) - [i8]Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang:
Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge. CoRR abs/2307.00404 (2023) - [i7]Omar Alhussein, Moshi Wei, Arashmid Akhavain:
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory. CoRR abs/2309.02787 (2023) - [i6]Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang:
Assessing Evaluation Metrics for Neural Test Oracle Generation. CoRR abs/2310.07856 (2023) - [i5]Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang:
SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models. CoRR abs/2310.18532 (2023) - [i4]Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang:
A Survey on Query-based API Recommendation. CoRR abs/2312.10623 (2023) - 2022
- [j1]Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang:
Yet another combination of IR- and neural-based comment generation. Inf. Softw. Technol. 152: 107001 (2022) - [c4]Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang:
CLEAR: Contrastive Learning for API Recommendation. ICSE 2022: 376-387 - [c3]Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang:
API recommendation for machine learning libraries: how far are we? ESEC/SIGSOFT FSE 2022: 370-381 - 2021
- [c2]Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan:
Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We? ICSE 2021: 1548-1560 - [i3]Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang:
CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing. CoRR abs/2106.09242 (2021) - [i2]Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang:
Yet Another Combination of IR- and Neural-based Comment Generation. CoRR abs/2107.12938 (2021) - 2020
- [c1]Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan:
CoCoNuT: combining context-aware neural translation models using ensemble for program repair. ISSTA 2020: 101-114
2010 – 2019
- 2019
- [i1]Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan:
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair. CoRR abs/1906.08691 (2019)
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last updated on 2024-10-04 21:04 CEST by the dblp team
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