Hung Le

According to our database, Hung Le authored at least 75 papers between 2018 and 2025.

Collaborative distances:

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

2025

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

Minh Hoang Nguyen, Van Dai Do, Dung Nguyen, Thin Nguyen, Hung Le

CoRR, August, 2025

SPaRFT: Self-Paced Reinforcement Fine-Tuning for Large Language Models.

Dai Do, Manh Nguyen, Svetha Venkatesh, Hung Le

CoRR, August, 2025

DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning.

Linh Le Pham Van, Minh Hoang Nguyen, Duc Kieu, Hung Le, Hung The Tran, Sunil Gupta

CoRR, July, 2025

LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying.

Thommen Karimpanal George, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh

Neural Comput. Appl., June, 2025

Hybrid Cross-domain Robust Reinforcement Learning.

Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung The Tran, Sunil Gupta

CoRR, May, 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

CoRR, May, 2025

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

Hung Le, Dai Do, Dung Nguyen, Svetha Venkatesh

CoRR, April, 2025

S2MoE: Robust Sparse Mixture of Experts via Stochastic Learning.

Giang Do, Hung Le, Truyen Tran

CoRR, March, 2025

Sparse Mixture of Experts as Unified Competitive Learning.

Giang Do, Hung Le, Truyen Tran

CoRR, March, 2025

Reinforcement Learning for Causal Discovery without Acyclicity Constraints.

Bao Duong, Hung Le, Biwei Huang, Thin Nguyen

Trans. Mach. Learn. Res., 2025

On the Role of Discrete Representation in Sparse Mixture of Experts.

Giang Do, Kha Pham, Hung Le, Truyen Tran

Trans. Mach. Learn. Res., 2025

Accelerated experimental design using a human-AI teaming framework.

Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Sunil Gupta, Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh

Knowl. Based Syst., 2025

Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains.

Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Automatic Prompt Selection for Large Language Models.

Viet-Tung Do, Xuan-Quang Nguyen, Van-Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Jeff Yang, Hajime Hotta, Minh-Tien Nguyen, Hung Le

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse.

Giang Do, Hung Le, Truyen Tran

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 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

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

Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering.

Kha Pham, Hung Le, Man Ngo, Truyen Tran

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dynamic Steering With Episodic Memory For Large Language Models.

Van Dai Do, Quan Hung Tran, Svetha Venkatesh, Hung Le

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Multi-Reference Preference Optimization for Large Language Models.

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

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

Trans. Mach. Learn. Res., 2024

On the effectiveness of discrete representations in sparse mixture of experts.

Giang Do, Kha Pham, Hung Le, Truyen Tran

CoRR, 2024

ALIAS: DAG Learning with Efficient Unconstrained Policies.

Bao Duong, Hung Le, Thin Nguyen

CoRR, 2024

Large Language Models Prompting With Episodic Memory.

Dai Do, Quan Tran, Svetha Venkatesh, Hung Le

CoRR, 2024

SimSMoE: Solving Representational Collapse via Similarity Measure.

Giang Do, Hung Le, Truyen Tran

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

Automatic Prompt Selection for Large Language Models.

Viet-Tung Do, Van-Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Jeff Yang, Hajime Hotta, Minh-Tien Nguyen, Hung Le

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

Variable-Agnostic Causal Exploration for Reinforcement Learning.

Minh Hoang Nguyen, Hung Le, Svetha Venkatesh

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction.

Thanh-Dat Nguyen, Tung Do-Viet, Hung Nguyen-Duy, Tuan-Hai Luu, Hung Le, Bach Le, Patanamon Thongtanunam

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 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

Large Language Model Prompting with Episodic Memory.

Dai Do, Quan Tran, Svetha Venkatesh, Hung Le

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

Balanced Q-learning: Combining the influence of optimistic and pessimistic targets.

Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh

Artif. Intell., December, 2023

Universal Graph Continual Learning.

Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le

Trans. Mach. Learn. Res., 2023

Intrinsic Motivation via Surprise Memory.

Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh

CoRR, 2023

When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust.

Minh-Tien Nguyen, Duy-Hung Nguyen, Shahab Sabahi, Hung Le, Jeff Yang, Hajime Hotta

CoRR, 2023

BO-Muse: A human expert and AI teaming framework for accelerated experimental design.

Sunil Gupta, Alistair Shilton, Arun Kumar A. V., Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, 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

Improving Out-of-distribution Generalization with Indirection Representations.

Kha Pham, Hung Le, Man Ngo, Truyen Tran

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Domain Generalization with Interpolation Robustness.

Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta

Proceedings of the Asian Conference on Machine Learning, 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

Learning to Generate Questions by Enhancing Text Generation with Sentence Selection.

Do Hoang Thai Duong, Nguyen Hong Son, Hung Le, Minh-Tien Nguyen

CoRR, 2022

HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System.

Bao-Sinh Nguyen, Quang-Bach Tran, Tuan Anh Nguyen Dang, Duc Nguyen, Hung Le

CoRR, 2022

Memory-Constrained Policy Optimization.

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

CoRR, 2022

Functional Indirection Neural Estimator for Better Out-of-distribution Generalization.

Kha Pham, Hung Le, Man Ngo, Truyen Tran

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

Learning to Constrain Policy Optimization with Virtual Trust Region.

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

Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback.

Duy-Hung Nguyen, Nguyen-Viet-Dung Nghiem, Bao-Sinh Nguyen, Dung Tien Le, Shahab Sabahi, Minh-Tien Nguyen, Hung Le

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System.

Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh D. Nguyen, Hung Le

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Improving Document Image Understanding with Reinforcement Finetuning.

Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, Hung Le

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Neurocoder: General-Purpose Computation Using Stored Neural Programs.

Hung Le, Svetha Venkatesh

Proceedings of the International Conference on Machine Learning, 2022

Generative Pseudo-Inverse Memory.

Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh

Proceedings of the Tenth International Conference on Learning Representations, 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 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

2021

Plug and Play, Model-Based Reinforcement Learning.

Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh

CoRR, 2021

Memory and attention in deep learning.

Hung Thai Le

CoRR, 2021

Model-Based Episodic Memory Induces Dynamic Hybrid Controls.

Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

From Deep Learning to Deep Reasoning.

Truyen Tran, Vuong Le, Hung Le, Thao Minh Le

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System.

Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

Robust Deep Reinforcement Learning for Extractive Legal Summarization.

Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen-Viet-Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le

Proceedings of the Neural Information Processing - 28th International Conference, 2021

A New Representation of Successor Features for Transfer across Dissimilar Environments.

Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs.

Hung Le, Svetha Venkatesh

CoRR, 2020

LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition.

Huu-Tin Hoang, Chun-Jen Peng, Hung Vinh Tran, Hung Le, Huy Hoang Nguyen

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Self-Attentive Associative Memory.

Hung Le, Truyen Tran, Svetha Venkatesh

Proceedings of the 37th International Conference on Machine Learning, 2020

Neural Stored-program Memory.

Hung Le, Truyen Tran, Svetha Venkatesh

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory.

Duc Nguyen, Nhan Tran, Hung Le

CoRR, 2019

Learning to Remember More with Less Memorization.

Hung Le, Truyen Tran, Svetha Venkatesh

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Memory-Augmented Neural Networks for Predictive Process Analytics.

Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta

CoRR, 2018

Dual Control Memory Augmented Neural Networks for Treatment Recommendations.

Hung Le, Truyen Tran, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Variational Memory Encoder-Decoder.

Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning.

Hung Le, Truyen Tran, Svetha Venkatesh

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018