Le, Hung

34 publications

IJCAI 2025 Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le
WACV 2025 Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh
ECML-PKDD 2025 Hybrid Cross-Domain Robust Reinforcement Learning Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung The Tran, Sunil Gupta
AAAI 2025 Multi-Reference Preference Optimization for Large Language Models Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
IJCAI 2025 Navigating Social Dilemmas with LLM-Based Agents via Consideration of Future Consequences Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
TMLR 2025 On the Role of Discrete Representation in Sparse Mixture of Experts Giang Do, Kha Pham, Hung Le, Truyen Tran
ICLR 2025 Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering Kha Pham, Hung Le, Man Ngo, Truyen Tran
TMLR 2025 Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models Hung Le, Van Dai Do, Dung Nguyen, Svetha Venkatesh
TMLR 2025 Reinforcement Learning for Causal Discovery Without Acyclicity Constraints Bao Duong, Hung Le, Biwei Huang, Thin Nguyen
ICLR 2025 Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
ICLR 2024 CodeChain: Towards Modular Code Generation Through Chain of Self-Revisions with Representative Sub-Modules Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
IJCAI 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
NeurIPS 2024 INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
NeurIPS 2024 Learning Representations for Hierarchies with Minimal Support Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel, Wenlong Zhao, Shib Dasgupta, Hung Le, Andrew McCallum
TMLR 2024 Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
ECML-PKDD 2024 Variable-Agnostic Causal Exploration for Reinforcement Learning Minh Hoang Nguyen, Hung Le, Svetha Venkatesh
ACML 2023 Domain Generalization with Interpolation Robustness Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta
ICLR 2023 Improving Out-of-Distribution Generalization with Indirection Representations Kha Pham, Hung Le, Man Ngo, Truyen Tran
AAAI 2023 Memory-Augmented Theory of Mind Network Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
IJCAI 2023 Social Motivation for Modelling Other Agents Under Partial Observability in Decentralised Training Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
TMLR 2023 Universal Graph Continual Learning Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le
NeurIPS 2022 CodeRL: Mastering Code Generation Through Pretrained Models and Deep Reinforcement Learning Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu Hong Hoi
AAAI 2022 Episodic Policy Gradient Training Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh
ICLR 2022 Generative Pseudo-Inverse Memory Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh
ICML 2022 Neurocoder: General-Purpose Computation Using Stored Neural Programs Hung Le, Svetha Venkatesh
ECCV 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
ICML 2021 A New Representation of Successor Features for Transfer Across Dissimilar Environments Majid Abdolshah, Hung Le, Thommen Karimpanal George, Sunil Gupta, Santu Rana, Svetha Venkatesh
ICLR 2021 Learning Reasoning Paths over Semantic Graphs for Video-Grounded Dialogues Hung Le, Nancy F. Chen, Steven Hoi
NeurIPS 2021 Model-Based Episodic Memory Induces Dynamic Hybrid Controls Hung Le, Thommen Karimpanal George, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
ICLR 2020 Neural Stored-Program Memory Hung Le, Truyen Tran, Svetha Venkatesh
ICLR 2020 Non-Autoregressive Dialog State Tracking Hung Le, Richard Socher, Steven C. H. Hoi
ICML 2020 Self-Attentive Associative Memory Hung Le, Truyen Tran, Svetha Venkatesh
ICLR 2019 Learning to Remember More with Less Memorization Hung Le, Truyen Tran, Svetha Venkatesh
NeurIPS 2018 Variational Memory Encoder-Decoder Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh