Dung Nguyen

According to our database, Dung Nguyen authored at least 24 papers between 2020 and 2024.

Collaborative distances:

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

2024

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

Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Mohamed Abdelrazek, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes

Multim. Tools Appl., 2024

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

Hung Le, Kien Do, Dung Nguyen, Sunil Gupta, Svetha Venkatesh

CoRR, 2024

Multi-Reference Preference Optimization for Large Language Models.

Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh

CoRR, 2024

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

Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran

CoRR, 2024

Variational Flow Models: Flowing in Your Style.

Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen

CoRR, 2024

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

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

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

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

Beyond Surprise: Improving Exploration Through Surprise Novelty.

Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh

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

2023

Meta-transfer learning for emotion recognition.

Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Simon Denman, Thanh Nguyen, David Dean, Clinton Fookes

Neural Comput. Appl., May, 2023

Intrinsic Motivation via Surprise Memory.

Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh

CoRR, 2023

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

Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

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

Memory-Augmented Theory of Mind Network.

Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

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

2022

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

Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes

IEEE Trans. Multim., 2022

Memory-Constrained Policy Optimization.

Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

CoRR, 2022

Learning to Constrain Policy Optimization with Virtual Trust Region.

Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

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.

Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh

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.

Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Transfer Role Assignment Across Team Sizes.

Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran

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

Learning Theory of Mind via Dynamic Traits Attribution.

Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

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

Episodic Policy Gradient Training.

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.

Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, David Dean, Clinton Fookes

CoRR, 2020

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition.

Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes

CoRR, 2020

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

Son N. Tran, Dung Nguyen, Ngo Tung Son, Xuan-Son Vu, Long Hoang, Qing Zhang, Mohan Karunanithi

Artif. Intell. Rev., 2020

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning.

Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran

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