Michael Fu

According to our database, Michael Fu authored at least 15 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Vision Transformer Inspired Automated Vulnerability Repair.

Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, Trung Le

ACM Trans. Softw. Eng. Methodol., March, 2024

AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities.

Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Q. Phung, John C. Grundy

Empir. Softw. Eng., February, 2024

2023

VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types.

Michael Fu, Van Nguyen, Chakkrit Kla Tantithamthavorn, Trung Le, Dinh Q. Phung

IEEE Trans. Software Eng., October, 2023

GPT2SP: A Transformer-Based Agile Story Point Estimation Approach.

Michael Fu, Chakkrit Tantithamthavorn

IEEE Trans. Software Eng., February, 2023

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

Michael Fu, Trung Le, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Q. Phung

CoRR, 2023

Toward More Effective Deep Learning-based Automated Software Vulnerability Prediction, Classification, and Repair.

Michael Fu

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?

Michael Fu, Chakkrit Kla Tantithamthavorn, Van Nguyen, Trung Le

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

VulRepair: a T5-based automated software vulnerability repair.

Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Van Nguyen, Dinh Q. Phung

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.

Michael Fu, Chakkrit Tantithamthavorn

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021

PyExplainer: Explaining the Predictions of Just-In-Time Defect Models.

Chanathip Pornprasit, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Michael Fu, Patanamon Thongtanunam

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.

Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2016

Cost-Efficient Parallel RSA Decryption with Integrated GPGPU and OpenCL.

Sanshan Gao, Shunqing Zhang, Michael Fu, Shugong Xu, Weiping Li

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.

John M. Pecarina, Michael Fu, Jyh-Charn Liu

Proceedings of the 2015 International Conference on Collaboration Technologies and Systems, 2015

2009

Clouds with character: <i>Partly Cloudy</i>.

David Batte, Michael Fu

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2009

2004

Proactive resource provisioning.

Eric C. Chi, Michael Fu, Jean C. Walrand

Comput. Commun., 2004