Search Results for author: Moshi Wei

Found 5 papers, 1 papers with code

A Survey on Query-based API Recommendation

no code implementations17 Dec 2023 Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Ming Zhen, Jiang

We also investigate the typical data extraction procedures and collection approaches employed by the existing approaches.

Assessing Evaluation Metrics for Neural Test Oracle Generation

no code implementations11 Oct 2023 Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang

We apply two different correlation analyses between these two different sets of metrics.

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

no code implementations6 Sep 2023 Omar Alhussein, Moshi Wei, Arashmid Akhavain

Split learning is a privacy-preserving distributed learning paradigm in which an ML model (e. g., a neural network) is split into two parts (i. e., an encoder and a decoder).

Edge-computing Informativeness +1

CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair

1 code implementation18 Jul 2020 Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan

To address these challenges, we propose a new G&V technique—CoCoNuT, which uses ensemble learning on the combination of convolutional neural networks (CNNs) and a new context-aware neural machine translation (NMT) architecture to automatically fix bugs in multiple programming languages.

Ensemble Learning Machine Translation +3

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

no code implementations20 Jun 2019 Thibaud Lutellier, Lawrence Pang, Viet Hung Pham, Moshi Wei, Lin Tan

We propose ENCORE, a new G&V technique, which uses ensemble learning on convolutional neural machine translation (NMT) models to automatically fix bugs in multiple programming languages.

Ensemble Learning Machine Translation +3

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