Van Nguyen

According to our database, Van Nguyen authored at least 33 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation.

Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung

CoRR, 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

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

Few-shot Domain-Adaptive Visually-fused Event Detection from Text.

Fatemeh Shiri, Farhad Moghimifar, Van Nguyen, Reza Haffari, Yuan-Fang Li

CoRR, 2023

Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations.

Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data.

Farhad Moghimifar, Fatemeh Shiri, Van Nguyen, Yuan-Fang Li, Gholamreza Haffari

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

An Additive Instance-Wise Approach to Multi-class Model Interpretation.

Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Reza Haf, Seyit Camtepe, Dinh Phung

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Few-shot Domain-Adaptative Visually-fused Event Detection from Text.

Farhad Moghimifar, Fatemeh Shiri, Reza Haffari, Yuan-Fang Li, Van Nguyen

Proceedings of the 26th International Conference on Information Fusion, 2023

Bounded Subjective Opinions.

Michael K. McDonald, Lance M. Kaplan, Van Nguyen

Proceedings of the 26th International Conference on Information Fusion, 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

Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations.

Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin Bonilla, Gholamreza Haffari, Dinh Q. Phung

CoRR, 2022

An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability.

Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Q. Phung

CoRR, 2022

Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle.

Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Dinh Q. Phung

CoRR, 2022

An Additive Instance-Wise Approach to Multi-class Model Interpretation.

Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Q. Phung

CoRR, 2022

Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation.

Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung

Proceedings of the Uncertainty in Artificial Intelligence, 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

ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection.

Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Paraphrasing Techniques for Maritime QA system.

Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li, Van Nguyen

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Deep Learning for Software Security.

Van Nguyen

PhD thesis, 2021

Information-theoretic Source Code Vulnerability Highlighting.

Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung

Proceedings of the International Joint Conference on Neural Networks, 2021

Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain.

Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection.

Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Code Action Network for Binary Function Scope Identification.

Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Code Pointer Network for Binary Function Scope Identification.

Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Deep Domain Adaptation for Vulnerable Code Function Identification.

Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web.

Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

2016

Scalable Support Vector Machine for Semi-supervised Learning.

Trung Le, Khanh Nguyen, Van Nguyen, Vu Nguyen, Dinh Q. Phung

CoRR, 2016

Fast Kernel-based method for anomaly detection.

Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Graph-based semi-supervised Support Vector Data Description for novelty detection.

Phuong Duong, Van Nguyen, Mi Dinh, Trung Le, Dat Tran, Wanli Ma

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Kernel-based semi-supervised learning for novelty detection.

Van Nguyen, Trung Le, Thien Pham, Mi Dinh, Thai Hoang Le

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Maximal margin learning vector quantisation.

Trung Le, Dat Tran, Van Nguyen, Wanli Ma

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013