| 2026 | AAAI | Beyond Prompting: AI Safety Education in the Generative AI Era. | Phan Xuan Tan, Eiji Kamioka, Van Nguyen |
| 2025 | ACL | OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching. | Nghia-Huynh Nguyen-Hieu, Ngoc Son Nguyen, Huynh Nguyen Dang, Thieu Vo, Truong-Son Hy, Van Nguyen |
| 2025 | AsiaCCS | SAFE: A Novel Approach For Software Vulnerability Detection from Enhancing The Capability of Large Language Models. | Van Nguyen, Surya Nepal, Xingliang Yuan, Tingmin Wu, Carsten Rudolph |
| 2025 | ICASSP | Effective Context Modeling Framework for Emotion Recognition in Conversations. | Van Cuong Tran, Thanh V. T. Tran, Van Nguyen, Truong Son Hy |
| 2025 | ICCV | EgoMusic-Driven Human Dance Motion Estimation with Skeleton Mamba. | Quang Nguyen, Nhat Le, Baoru Huang, Minh Nhat Vu, Chengcheng Tang, Van Nguyen, Ngan Le, Thieu Vo, Anh Nguyen |
| 2025 | ICCV | More Reliable Pseudo-Labels, Better Performance: A Generalized Approach to Single Positive Multi-Label Learning. | Luong Tran, Thieu Vo, Anh Nguyen, Sang Dinh, Van Nguyen |
| 2025 | ICLR | AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks. | Van Nguyen, Tingmin Wu, Xingliang Yuan, Marthie Grobler, Surya Nepal, Carsten Rudolph |
| 2025 | Interspeech | RESOUND: Speech Reconstruction from Silent Videos via Acoustic-Semantic Decomposed Modeling. | Long-Khanh Pham, Thanh V. T. Tran, Minh-Tan Pham, Van Nguyen |
| 2025 | SIGCSE | Computer Science Faculty Perspectives on Undergraduate Student Mental Health. | Christian Murphy, Van Nguyen, Asli Yuksel, Sahasra Nandela |
| 2024 | FUSION | Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs. | Fatemeh Shiri, Farhad Moghimifar, Reza Haffari, Yuan-Fang Li, Van Nguyen, John Yoo |
| 2023 | APSEC | ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We? | Michael Fu, Chakkrit Kla Tantithamthavorn, Van Nguyen, Trung Le |
| 2023 | ESANN | Graph for Transformer Feature: A New Approach for Face Anti-Spoofing. | Quoc-Huy Trinh, Hieu Nguyen, Van Nguyen, Xuan-Mao Nguyen, Hai-Dang Nguyen |
| 2023 | FUSION | Bounded Subjective Opinions. | Michael Kenneth McDonald, Lance M. Kaplan, Van Nguyen |
| 2023 | FUSION | Few-shot Domain-Adaptative Visually-fused Event Detection from Text. | Farhad Moghimifar, Fatemeh Shiri, Reza Haffari, Yuan-Fang Li, Van Nguyen |
| 2023 | ICLR | An Additive Instance-Wise Approach to Multi-class Model Interpretation. | Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung |
| 2023 | IJCNLP | Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data. | Farhad Moghimifar, Fatemeh Shiri, Van Nguyen, Yuan-Fang Li, Gholamreza Haffari |
| 2023 | Interspeech | Application of Knowledge Distillation to Multi-Task Speech Representation Learning. | Mine Kerpicci, Van Nguyen, Shuhua Zhang, Erik Visser |
| 2023 | KDD | 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 |
| 2023 | MDM | Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. | Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim |
| 2022 | FUSION | Paraphrasing Techniques for Maritime QA system. | Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li, Van Nguyen |
| 2022 | ICASSP | Multi-Task Voice Activated Framework Using Self-Supervised Learning. | Shehzeen Hussain, Van Nguyen, Shuhua Zhang, Erik Visser |
| 2022 | ICSE | ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. | Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung |
| 2022 | UAI | 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 |
| 2021 | ASPLOS | Rhythmic pixel regions: multi-resolution visual sensing system towards high-precision visual computing at low power. | Venkatesh Kodukula, Alexander Shearer, Van Nguyen, Srinivas Lingutla, Yifei Liu, Robert LiKamWa |
| 2021 | FUSION | Markov Logic meets Graph Neural Networks: A Study for Situational Awareness. | Van Nguyen |
| 2021 | FUSION | 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 |
| 2021 | IJCNN | Information-theoretic Source Code Vulnerability Highlighting. | Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung |
| 2021 | JELIA | Model Reconciliation in Logic Programs. | Tran Cao Son, Van Nguyen, Stylianos Loukas Vasileiou, William Yeoh |
| 2021 | SoCS | Explainable Problem in clingo-dl Programs. | Van Nguyen, Tran Cao Son, William Yeoh |
| 2020 | FUSION | Fuzzy MLNs and QSTAGs for Activity Recognition and Modelling with RUSH. | Van Nguyen, Liam Mellor |
| 2020 | IJCNN | Code Pointer Network for Binary Function Scope Identification. | Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung |
| 2020 | KR | Explainable Planning Using Answer Set Programming. | Van Nguyen, Vasileiou Loukas Stylianos, Tran Cao Son, William Yeoh |
| 2020 | PAKDD | 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 |
| 2020 | PAKDD | 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 |
| 2019 | FUSION | On combining probabilistic and semantic similarity-based methods toward off-domain reasoning for situational awareness. | Van Nguyen |
| 2019 | IJCNN | 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 |
| 2019 | PADL | Natural Language Generation from Ontologies. | Van Nguyen, Tran Cao Son, Enrico Pontelli |
| 2019 | PRIMA | A Scheduler for Smart Homes with Probabilistic User Preferences. | Van Nguyen, William Yeoh, Tran Cao Son, Vladik Kreinovich, Tiep Le |
| 2019 | SoCS | Generalized Target Assignment and Path Finding Using Answer Set Programming. | Van Nguyen, Philipp Obermeier, Tran Cao Son, Torsten Schaub, William Yeoh |
| 2018 | WISE | 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 |
| 2017 | IJCAI | Generalized Target Assignment and Path Finding Using Answer Set Programming. | Van Nguyen, Philipp Obermeier, Tran Cao Son, Torsten Schaub, William Yeoh |
| 2017 | UAI | Approximate Evidential Reasoning Using Local Conditioning and Conditional Belief Functions. | Van Nguyen |
| 2016 | IJCNN | Fast Kernel-based method for anomaly detection. | Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran |
| 2015 | IJCNN | Graph-based semi-supervised Support Vector Data Description for novelty detection. | Phuong Duong, Van Nguyen, Mi Dinh, Trung Le, Dat Tran, Wanli Ma |
| 2014 | IJCNN | Kernel-based semi-supervised learning for novelty detection. | Van Nguyen, Trung Le, Thien Pham, Mi Dinh, Thai Hoang Le |
| 2013 | IJCNN | Maximal margin learning vector quantisation. | Trung Le, Dat Tran, Van Nguyen, Wanli Ma |
| 2009 | MOBIHOC | Exploring 700mhz WiFi-based wireless mesh networking. | Yan He, Van Nguyen, Dmitri D. Perkins, Nian-Feng Tzeng |
| 2009 | WoWMoM | CDMR: Cooperative diversity-based multi-copy relaying in mesh networks. | Van Nguyen, Dmitri D. Perkins |
| 2008 | GLOBECOM | Investigating the Performance Impact of Shared Host Capacity in Ad Hoc Networks. | Yan He, Ikhlas Ajbar, Van Nguyen, Dmitri D. Perkins |
| 2006 | INFOCOM | Designing Low Cost Networks with Short Routes and Low Congestion. | Van Nguyen, Charles U. Martel |
| 2005 | SODA | Analyzing and characterizing small-world graphs. | Van Nguyen, Charles U. Martel |
| 2004 | PODC | Analyzing Kleinberg's (and other) small-world Models. | Charles U. Martel, Van Nguyen |
| 1998 | AMIA | Modular Text Processing System Based on the SPECIALIST Lexicon and Lexical Tools. | Allen C. Browne, Guy Divita, Van Nguyen, Vincent C. Cheng |
| 1986 | DS | Knowledge, Communication, and Time. | Van Nguyen, Kenneth J. Perry |
| 1986 | XP | Do We Really Know What Knowledge Is? | Van Nguyen, Kenneth J. Perry |
| 1985 | POPL | A Model and Temporal Proof System for Networks of Processes. | Van Nguyen, David Gries, Susan S. Owicki |