Michael Fu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Evaluating large language models for multilingual vulnerability detection at dual granularities.
Empir. Softw. Eng., July, 2026

AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report.
CoRR, April, 2026

IntelliSA: An Intelligent Static Analyzer for IaC Security Smell Detection Using Symbolic Rules and Neural Inference.
CoRR, January, 2026

2025
DeepVulMatch: Learning and Matching Latent Vulnerability Representations for Dual-Granularity Vulnerability Detection.
IEEE Trans. Reliab., December, 2025

ASCIIBench: Evaluating Language-Model-Based Understanding of Visually-Oriented Text.
CoRR, December, 2025

DecipherGuard: Understanding and Deciphering Jailbreak Prompts for a Safer Deployment of Intelligent Software Systems.
CoRR, September, 2025

On the Evaluation of Large Language Models in Multilingual Vulnerability Repair.
CoRR, August, 2025

Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems.
Proc. VLDB Endow., July, 2025

SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems.
CoRR, July, 2025

Large Language Models for Multilingual Vulnerability Detection: How Far Are We?
CoRR, June, 2025

AI for DevSecOps: A Landscape and Future Opportunities.
ACM Trans. Softw. Eng. Methodol., May, 2025

RAGVA: Engineering retrieval augmented generation-based virtual assistants in practice.
J. Syst. Softw., 2025

DAViT: A Domain-Adapted Vision Transformer for Automated Pneumonia Detection and Explanation Using Chest X-Ray Images.
IEEE Access, 2025

AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered Software.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection.
Proceedings of the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2025

Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2025

SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for AI-Powered Software.
Proceedings of the 2nd IEEE/ACM International Conference on AI-powered Software, 2025

2024
A Formal Explainer for Just-In-Time Defect Predictions.
ACM Trans. Softw. Eng. Methodol., September, 2024

Vision Transformer Inspired Automated Vulnerability Repair.
ACM Trans. Softw. Eng. Methodol., March, 2024

AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities.
Empir. Softw. Eng., February, 2024

Optimal Stopping for Clinical Trials with Economic Costs: A Simulation-Based Approach.
Proceedings of the Winter Simulation Conference, 2024

2023
VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types.
IEEE Trans. Software Eng., October, 2023

GPT2SP: A Transformer-Based Agile Story Point Estimation Approach.
IEEE Trans. Software Eng., February, 2023

Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities.
CoRR, 2023

Toward More Effective Deep Learning-based Automated Software Vulnerability Prediction, Classification, and Repair.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022
VulRepair: a T5-based automated software vulnerability repair.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

LineVul: A Transformer-based Line-Level Vulnerability Prediction.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021
PyExplainer: Explaining the Predictions of Just-In-Time Defect Models.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2019
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-Spoofing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2016
Cost-Efficient Parallel RSA Decryption with Integrated GPGPU and OpenCL.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

2015
Observation and mitigation of causal re-ordering in distributed business process logs.
Proceedings of the 2015 International Conference on Collaboration Technologies and Systems, 2015

2009
Clouds with character: <i>Partly Cloudy</i>.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2009

2004
Proactive resource provisioning.
Comput. Commun., 2004


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