Dung Nguyen

Orcid: 0000-0002-7726-7841

Affiliations:

Deakin University, Geelong, Australia

According to our database¹, Dung Nguyen authored at least 41 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Reviving Error Correction in Modern Deep Time-Series Forecasting.

[BibT_eX]

[DOI]

CoRR, May, 2026

Continual Safety Alignment via Gradient-Based Sample Selection.

[BibT_eX]

[DOI]

CoRR, April, 2026

Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention.

[BibT_eX]

[DOI]

CoRR, March, 2026

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2026

Curvature-Aware Safety Restoration In LLMs Fine-Tuning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2026

Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking Deep Alignment Through The Lens Of Incomplete Learning.

[BibT_eX]

[DOI]

CoRR, November, 2025

Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models.

[BibT_eX]

[DOI]

CoRR, November, 2025

CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning.

[BibT_eX]

[DOI]

CoRR, August, 2025

Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

The Emergence of Deep Reinforcement Learning for Path Planning.

[BibT_eX]

[DOI]

Quoc Viet Hung Nguyen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Thanh Thi Nguyen

Quoc Viet Hung Nguyen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2025

Multi-Reference Preference Optimization for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Deep cross-domain transfer for emotion recognition via joint learning.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2024

Multi-Reference Preference Optimization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory.

[BibT_eX]

[DOI]

CoRR, 2024

Variational Flow Models: Flowing in Your Style.

[BibT_eX]

[DOI]

CoRR, 2024

Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Revisiting the Dataset Bias Problem from a Statistical Perspective.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

MP-PINN: A Multi-phase Physics-Informed Neural Network for Epidemic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Data Science and Machine Learning, 2024

Beyond Surprise: Improving Exploration Through Surprise Novelty.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Meta-transfer learning for emotion recognition.

[BibT_eX]

[DOI]

Neural Comput. Appl., May, 2023

Intrinsic Motivation via Surprise Memory.

[BibT_eX]

[DOI]

CoRR, 2023

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Memory-Augmented Theory of Mind Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Memory-Constrained Policy Optimization.

[BibT_eX]

[DOI]

Hung Le

Thommen George Karimpanal

CoRR, 2022

Learning to Constrain Policy Optimization with Virtual Trust Region.

[BibT_eX]

[DOI]

Hung Le

Thommen Karimpanal George

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Effective and Robust Neural Trojan Defenses via Input Filtering.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Transfer Role Assignment Across Team Sizes.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Learning Theory of Mind via Dynamic Traits Attribution.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Episodic Policy Gradient Training.

[BibT_eX]

[DOI]

Hung Le

Majid Abdolshah

Thommen George Karimpanal

Kien Do

Dung Nguyen

Svetha Venkatesh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Meta Transfer Learning for Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

On multi-resident activity recognition in ambient smart-homes.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2020

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of The 12th Asian Conference on Machine Learning, 2020

Dung Nguyen

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