98 citations · 250 across the 7 of their papers we have counts for
7 papers
The case for Zero Trust Digital Forensics
Christoper Neale, Ian Kennedy, Blain Price +1
It is imperative for all stakeholders that digital forensics investigations produce reliable results to ensure the field delivers a positive contribution to the pursuit of justice…
A Feature Table approach to decomposing monolithic applications into microservices
Yuyang Wei, Yijun Yu, Minxue Pan +1
Microservice architecture refers to the use of numerous small-scale and independently deployed services, instead of encapsulating all functions into one monolith. It has been a cha…
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis
Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti +3
Video sentiment analysis as a decision-making process is inherently complex, involving the fusion of decisions from multiple modalities and the so-caused cognitive biases. Inspired…
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
Building deep learning models on source code has found many successful software engineering applications, such as code search, code comment generation, bug detection, code migratio…
TreeCaps: Tree-Based Capsule Networks for Source Code Processing
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
Recently program learning techniques have been proposed to process source code based on syntactical structures (e.g., Abstract Syntax Trees) and/or semantic information (e.g., Depe…
Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
We propose Corder, a self-supervised contrastive learning framework for source code model. Corder is designed to alleviate the need of labeled data for code retrieval and code summ…
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations
Md Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang +3
With the prevalence of publicly available source code repositories to train deep neural network models, neural program models can do well in source code analysis tasks such as pred…