Dung Nguyen - RankMe

56 papers A* 11A 5B 2C 1Misc 1Journal 35Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Curvature-Aware Safety Restoration In LLMs Fine-Tuning. Trans. Mach. Learn. Res. Thong Bach, Thanh Nguyen-Tang, Dung Nguyen, Thao Minh Le, Truyen Tran
2026	J	`jnl`	Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention. CoRR Manh Nguyen, Anh Nguyen, Dung Nguyen, Svetha Venkatesh, Hung Le
2026	A*	`conf`	Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning. AAAI Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran
2026	J	`jnl`	Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting. CoRR Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen, Hung Le
2025	A*	`conf`	Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting. ICDM Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen
2025	J	`jnl`	Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting. CoRR Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen
2025	J	`jnl`	CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning. CoRR Minh Hoang Nguyen, Van Dai Do, Dung Nguyen, Thin Nguyen, Hung Le
2025	J	`jnl`	Curvature-Aware Safety Restoration In LLMs Fine-Tuning. CoRR Thong Bach, Thanh Nguyen-Tang, Dung Nguyen, Thao Minh Le, Truyen Tran
2025	A*	`conf`	Multi-Reference Preference Optimization for Large Language Models. AAAI Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
2025	A	`conf`	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. AAMAS Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	A*	`conf`	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. IJCAI Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	J	`jnl`	Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. CoRR Hung Le, Dai Do, Dung Nguyen, Svetha Venkatesh
2025	J	`jnl`	Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. Trans. Mach. Learn. Res. Hung Le, Van Dai Do, Dung Nguyen, Svetha Venkatesh
2025	J	`jnl`	Rethinking Deep Alignment Through The Lens Of Incomplete Learning. CoRR Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran
2025	A*	`conf`	Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. ICLR Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2025	B	`conf`	Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning. SMC Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua, Imran Razzak, Dung Nguyen, Saeid Nahavandi
2025	J	`jnl`	Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning. CoRR Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua, Imran Razzak, Dung Nguyen, Saeid Nahavandi
2025	B	`conf`	The Emergence of Deep Reinforcement Learning for Path Planning. SMC Thanh Thi Nguyen, Saeid Nahavandi, Imran Razzak, Dung Nguyen, Nhat Truong Pham, Quoc Viet Hung Nguyen
2025	J	`jnl`	The Emergence of Deep Reinforcement Learning for Path Planning. CoRR Thanh Thi Nguyen, Saeid Nahavandi, Imran Razzak, Dung Nguyen, Nhat Truong Pham, Quoc Viet Hung Nguyen
2025	J	`jnl`	Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models. CoRR Manh Nguyen, Dung Nguyen, Dai Do, Svetha Venkatesh, Hung Le
2024	A	`conf`	Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
2024	J	`jnl`	Deep cross-domain transfer for emotion recognition via joint learning. Multim. Tools Appl. Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Mohamed Abdelrazek, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes
2024	A*	`conf`	Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. IJCAI Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2024	J	`jnl`	Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
2024	J	`jnl`	MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting. CoRR Thang Nguyen, Dung Nguyen, Kha Pham, Truyen Tran
2024	Misc	`conf`	MP-PINN: A Multi-phase Physics-Informed Neural Network for Epidemic Forecasting. AusDM Thang Nguyen, Dung Nguyen, Kha Pham, Truyen Tran
2024	J	`jnl`	Multi-Reference Preference Optimization for Large Language Models. CoRR Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
2024	J	`jnl`	Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory. Trans. Mach. Learn. Res. Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
2024	A	`conf`	Revisiting the Dataset Bias Problem from a Statistical Perspective. ECAI Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. CoRR Hung Le, Kien Do, Dung Nguyen, Sunil Gupta, Svetha Venkatesh
2024	J	`jnl`	Variational Flow Models: Flowing in Your Style. CoRR Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
2023	J	`jnl`	Intrinsic Motivation via Surprise Memory. CoRR Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
2023	A*	`conf`	Memory-Augmented Theory of Mind Network. AAAI Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Memory-Augmented Theory of Mind Network. CoRR Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Meta-transfer learning for emotion recognition. Neural Comput. Appl. Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Simon Denman, Thanh Thi Nguyen, David Dean, Clinton Fookes
2023	A*	`conf`	Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. IEEE Trans. Multim. Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
2022	A*	`conf`	Episodic Policy Gradient Training. AAAI Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh
2022	A	`conf`	Learning Theory of Mind via Dynamic Traits Attribution. AAMAS Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Learning Theory of Mind via Dynamic Traits Attribution. CoRR Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	A*	`conf`	Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2022	A	`conf`	Learning to Transfer Role Assignment Across Team Sizes. AAMAS Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Learning to Transfer Role Assignment Across Team Sizes. CoRR Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Memory-Constrained Policy Optimization. CoRR Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2022	A*	`conf`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	J	`jnl`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	—	`conf`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2022	J	`jnl`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2021	J	`jnl`	Episodic Policy Gradient Training. CoRR Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh
2020	J	`jnl`	Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition. CoRR Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
2020	J	`jnl`	Joint Deep Cross-Domain Transfer Learning for Emotion Recognition. CoRR Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes
2020	J	`jnl`	Meta Transfer Learning for Emotion Recognition. CoRR Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, David Dean, Clinton Fookes
2020	J	`jnl`	On multi-resident activity recognition in ambient smart-homes. Artif. Intell. Rev. Son N. Tran, Dung Nguyen, Ngo Tung Son, Xuan-Son Vu, Long Hoang, Qing Zhang, Mohan Karunanithi
2020	C	`conf`	Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. ACML Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
2020	J	`jnl`	Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. CoRR Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran