| 2026 | AAAI | Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning. | Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran |
| 2026 | ACIIDS | A Lightweight CNN-Transformer Hybrid Network for Efficient Cancer Detection Using Ultrasound Images. | Thanh-An Pham, Van-Dung Hoang, Van-Tuong-Lan Le, Dung Nguyen |
| 2026 | ACL | Continual Safety Alignment via Gradient-Based Sample Selection. | Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran |
| 2025 | AAAI | Multi-Reference Preference Optimization for Large Language Models. | Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh |
| 2025 | ACIIDS | A Lightweight Transformer Model for Real-Time Object Detection on Edge Devices in Surveillance Camera Systems. | Dung Nguyen, Van-Dung Hoang, Van-Tuong-Lan Le |
| 2025 | AIED | Riding on the Back of a Whale: A Hackathon Framework for Introducing High School Students to Large Language Models. | Duc Nguyen, Dong D. Le, Long Nguyen, Quyen Vu, Tran Le, Dung Nguyen, Nga Huynh, Huong Nguyen, Phat Tran, Dang Le, Sang T. Truong, Sanmi Koyejo, Cuong Le, Tho Quan |
| 2025 | HSI | A Real-Time Object Detection and Tracking Framework Based on RT-DETR and DeepSORT. | Dung Nguyen, Van-Dung Hoang, Van-Tuong-Lan Le, Tri-Cong Pham, Quang-Khai Tran, Chi-Mai Luong |
| 2025 | HSI | A Survey on Vehicle Damage Detection using Deep Learning Towards Intelligent Insurance. | Doan-Hieu Tran, Van-Dung Hoang, Dung Nguyen, Thanh-An Pham, Van-Tuong-Lan Le |
| 2025 | ICDM | Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting. | Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen |
| 2025 | ICLR | Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. | Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh |
| 2025 | IJCAI | Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. | Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2025 | IJCAI | Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering. | Dung Nguyen, Minh Khoi Ho, Huy D. Ta, Thanh Tam Nguyen, Qi Chen, Kumar Rav, Quy Duong Dang, Satwik Ramchandre, Son Lam Phung, Zhibin Liao, Minh-Son To, Johan Verjans, Phi Le Nguyen, Vu Minh Hieu Phan |
| 2025 | SMC | Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning. | Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua, Imran Razzak, Dung Nguyen, Saeid Nahavandi |
| 2025 | SMC | The Emergence of Deep Reinforcement Learning for Path Planning. | Thanh Thi Nguyen, Saeid Nahavandi, Imran Razzak, Dung Nguyen, Nhat Truong Pham, Quoc Viet Hung Nguyen |
| 2024 | ACIIDS | V-DETR: Pure Transformer for End-to-End Object Detection. | Dung Nguyen, Van-Dung Hoang, Van-Tuong-Lan Le |
| 2024 | AISTATS | Computing epidemic metrics with edge differential privacy. | George Z. Li, Dung Nguyen, Anil Vullikanti |
| 2024 | AusDM | MP-PINN: A Multi-phase Physics-Informed Neural Network for Epidemic Forecasting. | Thang Nguyen, Dung Nguyen, Kha Pham, Truyen Tran |
| 2024 | ECAI | Revisiting the Dataset Bias Problem from a Statistical Perspective. | Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh |
| 2024 | ICML | Differentially private exact recovery for stochastic block models. | Dung Nguyen, Anil Kumar S. Vullikanti |
| 2024 | IJCAI | Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. | Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2024 | ISNN | nuScenesComplex: A More Rigorous Evaluation Framework for End-to-End Autonomous Driving Planning. | Dung Nguyen, Gang Zhang, Hujie Pan, Xiaolin Hu |
| 2024 | WACV | Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-Identification. | Vuong D. Nguyen, Khadija Khaldi, Dung Nguyen, Pranav Mantini, Shishir Shah |
| 2023 | AAAI | Memory-Augmented Theory of Mind Network. | Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | IJCAI | Differentially Private Partial Set Cover with Applications to Facility Location. | George Z. Li, Dung Nguyen, Anil Vullikanti |
| 2023 | IJCAI | Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. | Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | WACV | EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification. | Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen, Hau Lam, Phong Nguyen, Jennifer Fowler, Minh-Triet Tran, Ngan Le |
| 2023 | WACV | PP4AV: A benchmarking Dataset for Privacy-preserving Autonomous Driving. | Linh Trinh, Phuong Pham, Hoang Trinh, Nguyen Bach, Dung Nguyen, Giang Nguyen, Huy Nguyen |
| 2022 | AAAI | Episodic Policy Gradient Training. | Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh |
| 2022 | ECCV | Towards Effective and Robust Neural Trojan Defenses via Input Filtering. | Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh |
| 2022 | ICML | Differentially Private Community Detection for Stochastic Block Models. | Mohamed S. Mohamed, Dung Nguyen, Anil Vullikanti, Ravi Tandon |
| 2022 | IGARSS | Crop Type Prediction Utilising a Long Short-Term Memory with a Self-Attention for Winter Crops in Australia. | Dung Nguyen, Yan Zhao, Yifan Zhang, Anh Ngoc-Lan Huynh, Fred Roosta, Graeme L. Hammer, Scott C. Chapman, Andries B. Potgieter |
| 2022 | PERCOM | A Novel IoT System For Patient-Centric Pressure Ulcer Prevention Using Sensor Embedded Dressings. | Sachin Rangarajan, Young Lee, Vinith Johnson, Kaelan Schorger, Hanmin Lee, Dung Nguyen, Mohammad H. Behfar, Elina Jansson, Jari Rekil, Jussi Hiltunen, Eric Vin, Katia Obraczka |
| 2021 | ICML | Differentially Private Densest Subgraph Detection. | Dung Nguyen, Anil Vullikanti |
| 2020 | ACML | Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. | Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran |
| 2018 | CCGRID | Evaluation of Highly Available Cloud Streaming Systems for Performance and Price. | Dung Nguyen, Andr Luckow, Edward B. Duffy, Ken Kennedy, Amy W. Apon |
| 2017 | IROS | Learning of vehicular performance models for longitudinal motion planning to satisfy arrival requirements. | Ty Nguyen, Dung Nguyen, Tsz-Chiu Au |
| 2017 | SIGITE | EZSetup: A Novel Tool for Cybersecurity Practices Utilizing Cloud Resources. | Yanyan Li, Dung Nguyen, Mengjun Xie |
| 2013 | HIC | Using NLP to identify cancer cases in imaging reports drawn from radiology information systems. | Jon David Patrick, Pooyan Asgari, Min Li, Dung Nguyen |
| 2012 | HIC | Computational recognition of SNOMED CT codes from ED case notes. | Jon David Patrick, Dung Nguyen, Tingxin Wang, Richard Paoloni |
| 2011 | PACLIC | Automated Proof Reading of Clinical Notes. | Jon David Patrick, Dung Nguyen |
| 1998 | SIGCSE | Design patterns for data structures. | Dung Nguyen |