no code implementations • 17 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.
no code implementations • 11 Oct 2023 • Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang
We apply two different correlation analyses between these two different sets of metrics.
no code implementations • 6 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).
1 code implementation • 18 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.
no code implementations • 20 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.