Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. - Dung Nguyen 001; Svetha Venkatesh; Phuoc Nguyen; Truyen Tran 001 (ACML, 2020)

On multi-resident activity recognition in ambient smart-homes. - Son N. Tran; Dung Nguyen 001; Ngo Tung Son; Xuan-Son Vu; Long Hoang; Qing Zhang 001; Mohan Karunanithi (Artif. Intell. Rev., 2020)

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition. - Dung Nguyen 001; Sridha Sridharan; Duc Thanh Nguyen; Simon Denman; Son N. Tran; Rui Zeng; Clinton Fookes (CoRR, 2020)

Meta Transfer Learning for Emotion Recognition. - Dung Nguyen 001; Sridha Sridharan; Duc Thanh Nguyen; Simon Denman; David Dean; Clinton Fookes (CoRR, 2020)

Episodic Policy Gradient Training. - Hung Le 002; Majid Abdolshah; Thommen George Karimpanal; Kien Do; Dung Nguyen 001; Svetha Venkatesh (AAAI, 2022)

Learning Theory of Mind via Dynamic Traits Attribution. - Dung Nguyen 001; Phuoc Nguyen; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2022)

Learning to Transfer Role Assignment Across Team Sizes. - Dung Nguyen 001; Phuoc Nguyen; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2022)

Towards Effective and Robust Neural Trojan Defenses via Input Filtering. - Kien Do; Haripriya Harikumar; Hung Le 002; Dung Nguyen 001; Truyen Tran 001; Santu Rana; Dang Nguyen 002; Willy Susilo; Svetha Venkatesh (ECCV (5), 2022)

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. - Kien Do; Hung Le 002; Dung Nguyen 001; Dang Nguyen 002; Haripriya Harikumar; Truyen Tran 001; Santu Rana; Svetha Venkatesh (NeurIPS, 2022)

Learning to Constrain Policy Optimization with Virtual Trust Region. - Hung Le 002; Thommen Karimpanal George; Majid Abdolshah; Dung Nguyen 001; Kien Do; Sunil Gupta 001; Svetha Venkatesh (NeurIPS, 2022)

Memory-Constrained Policy Optimization. - Hung Le 002; Thommen George Karimpanal; Majid Abdolshah; Dung Nguyen 001; Kien Do; Sunil Gupta 001; Svetha Venkatesh (CoRR, 2022)

Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. - Dung Nguyen 001; Duc Thanh Nguyen; Rui Zeng; Thanh Thi Nguyen 001; Son N. Tran; Thin Nguyen; Sridha Sridharan; Clinton Fookes (IEEE Trans. Multim., 2022)

Memory-Augmented Theory of Mind Network. - Dung Nguyen 001; Phuoc Nguyen; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (AAAI, 2023)

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. - Dung Nguyen 001; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (IJCAI, 2023)

Intrinsic Motivation via Surprise Memory. - Hung Le 002; Kien Do; Dung Nguyen 001; Svetha Venkatesh (CoRR, 2023)

Meta-transfer learning for emotion recognition. - Dung Nguyen 001; Duc Thanh Nguyen; Sridha Sridharan; Simon Denman; Thanh Nguyen 004; David Dean; Clinton Fookes (Neural Comput. Appl., 2023)

Beyond Surprise: Improving Exploration Through Surprise Novelty. - Hung Le 002; Kien Do; Dung Nguyen 001; Svetha Venkatesh (AAMAS, 2024)

Revisiting the Dataset Bias Problem from a Statistical Perspective. - Kien Do; Dung Nguyen 001; Hung Le 002; Thao Le 003; Dang Nguyen 002; Haripriya Harikumar; Truyen Tran 001; Santu Rana; Svetha Venkatesh (ECAI, 2024)

Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. - Dung Nguyen 001; Hung Le 002; Kien Do; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (IJCAI, 2024)

Variational Flow Models: Flowing in Your Style. - Kien Do; Duc Kieu; Toan Nguyen 004; Dang Nguyen 002; Hung Le 002; Dung Nguyen 001; Thin Nguyen (CoRR, 2024)

Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. - Hung Le 002; Dung Nguyen 001; Kien Do; Svetha Venkatesh; Truyen Tran 001 (CoRR, 2024)

Multi-Reference Preference Optimization for Large Language Models. - Hung Le 002; Quan Tran; Dung Nguyen 001; Kien Do; Saloni Mittal; Kelechi Ogueji; Svetha Venkatesh (CoRR, 2024)

MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting. - Thang Nguyen; Dung Nguyen 001; Kha Pham; Truyen Tran 001 (CoRR, 2024)

Deep cross-domain transfer for emotion recognition via joint learning. - Dung Nguyen 001; Duc Thanh Nguyen; Sridha Sridharan; Mohamed Abdelrazek 001; Simon Denman; Son N. Tran; Rui Zeng; Clinton Fookes (Multim. Tools Appl., 2024)

Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory. - Hung Le 002; Dung Nguyen 001; Kien Do; Svetha Venkatesh; Truyen Tran 001 (Trans. Mach. Learn. Res., 2024)

Multi-Reference Preference Optimization for Large Language Models. - Hung Le 002; Quan Hung Tran; Dung Nguyen 001; Kien Do; Saloni Mittal; Kelechi Ogueji; Svetha Venkatesh (AAAI, 2025)

Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. - Hung Le 002; Dung Nguyen 001; Kien Do; Sunil Gupta 001; Svetha Venkatesh (ICLR, 2025)

Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. - Dung Nguyen 001; Hung Le 002; Kien Do; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2025)

Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. - Hung Le 002; Dai Do; Dung Nguyen 001; Svetha Venkatesh (CoRR, 2025)

The Emergence of Deep Reinforcement Learning for Path Planning. - Thanh Thi Nguyen 001; Saeid Nahavandi; Imran Razzak; Dung Nguyen 001; Nhat Truong Pham; Quoc Viet Hung Nguyen (CoRR, 2025)

CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning. - Minh Hoang Nguyen; Van Dai Do; Dung Nguyen 001; Thin Nguyen; Hung Le 002 (CoRR, 2025)