Publications
202615
SteerCast: Retrieval-Based Latent Steering for Decoder-Only Time Series Forecasting
Van Dai Do, Huu Hiep Nguyen, Minh Hoang Nguyen, Hung Le
NeurIPS, 2026 · Link
CausalPlan: Empowering Efficient LLM Multi-Agent Coordination Through Causality-Driven Planning
Minh Hoang Nguyen, Van Dai Do, Dung Nguyen, Thin Nguyen, Hung Le
TMLR, 2026 · Link
SIMPA: Restricting What Experts See, Not What They Produce, in MoE-PEFT
Pham Tri Quang, Khoa Tran, Giang Do, Hung Le, Truyen Tran, Tho Quan
EMNLP, 2026 · Link
Continual Fine-Tuning of Large Language Models via Program Memory
Hung Le and Svetha Venkatesh
Creative Generation via Multi-Agent Debate: Does Debate Suppress Diversity?
Tien Anh Nguyen, Khanh-Binh Nguyen, Van Dai Do, Svetha Venkatesh, Hung Le
EMNLP (Oral), 2026 · Link
Beyond Tokenization: Direct Timestep Embedding and Contrastive Alignment for Time-Series Question Answering
Yafeng Wu, Huu Hiep Nguyen, Thin Nguyen, Hung Le
ICDM, 2026 · Link
Reviving Error Correction in Modern Deep Time-Series Forecasting
Minh Hoang Nguyen†, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen, Kien Do, Hung Le†
Enhancing Model Explainability and Performance via Attention-guided Gradient Restriction
Chan Nguyen, Hung Le, Thin Nguyen
ECML-PKDD, 2026 · Link
Retrieval-augmented Decoding for Improving Truthfulness in Open-ended Generation
Manh Nguyen, Sunil Gupta, Hung Le
ECML-PKDD, 2026 · Link
Rethinking Sparse Mixture of Experts from a Unified Perspective
Giang Do, Hung Le, Truyen Tran
ICML, 2026 · Link
Eigenvectors of Experts are Training-free Non-collapsing Routers
Giang Do, Hung Le, Truyen Tran
ICML (Spotlight), 2026 · Link
SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
Van Dai Do, Manh Nguyen, Svetha Venkatesh, Hung Le
ACL-Findings, 2026 · Link
Do Domain-specific Experts exist in MoE-based LLMs?
Giang Do, Hung Le, Truyen Tran
ACL-Findings, 2026 · Link
Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen, Hung Le
AISTATS, 2026 · Link
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
Manh Nguyen, Sunil Gupta, Hung Le
AAAI, 2026 · Link
202522
Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting
Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen
Federated Domain Generalization with Latent Space Inversion
Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, and Sunil Gupta
ICDM, 2025 · Link
Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
Hung Le, Dai Do, Dung Nguyen, and Svetha Venkatesh
Sample Efficient Alignment Learning With Episodic Control
Van Dai Do, Quan Hung Tran, Ahmed Kirmani, Lu Zhang, Hung Le
EMNLP-Findings, 2025 · Link
On the Role of Discrete Representation in Sparse Mixture of Experts
Giang Do, Kha Pham, Hung Le, Truyen Tran
TMLR, 2025 · Link
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 and Sunil Gupta
ECAI, 2025 · Link
Hybrid Cross-domain Robust Reinforcement Learning
Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung Tran, Sunil Gupta
ECML-PKDD, 2025 · Link
Navigation in Brain Networks Is Possible Using Only Local Information
Alex Hocking, Lena Vogelsang, Frank Jiang, Hung Le, Kerri Morgan, Nicholas Parsons, Govinda Poudel, Sergiy Shelyag, Julien Ugon
Dynamic Steering With Episodic Memory For Large Language Models
Van Dai Do, Quan Hung Tran, Svetha Venkatesh, and Hung Le
ACL-Findings, 2025 · Link
Physics-Informed Machine Learning for Predicting the Ballistic Limit of Whipple Shields
Shannon Ryan, Hung Le, Julian Berk, AV Arun Kumar, Svetha Venkatesh
International Journal of Impact Engineering, 2025 · Link
ALIAS: DAG Learning with Efficient Unconstrained Policies
Bao Duong, Hung Le, Biwei Huang, Thin Nguyen
Transactions on Machine Learning Research (TMLR) , 2025 · Link
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le
IJCAI, 2025 · Link
Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
IJCAI, 2025 · Link
Lagr-seq: Language-guided Reinforcement Learning with Sample-Efficient Querying
Thommen George Karimpanal, Laknath Buddhika Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh
Neural Computing and Applications, 2025 · Link
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
Knowledge-Based Systems, 2025 · Link
Automatic Prompt Selection for Large Language Models
Viet Tung Do, Xuan-Quang Nguyen, Van Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Chening Yang, Hajime Hotta, Minh-Tien Nguyen, Hung Le
PAKDD, 2025 · Link
SuperRAG: Beyond RAG with Layout-Aware Graph Modeling
Chening Yang, Duy-Khanh Vu, Minh-Tien Nguyen, Xuan-Quang Nguyen, Linh Nguyen, Hung Le
NAACL (Industry Track), 2025 · Link
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering
Kha Pham, Hung Le, Man Ngo, Truyen Tran
ICLR, 2025 · Link
SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse
Giang Do, Hung Le, Truyen Tran
NAACL-Findings, 2025 · Link
Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
AAMAS (Extended Abstract), 2025 · Link
Multi-Reference Preference Optimization for Large Language Models
Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
20248
Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains
Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta
WACV, 2024 · Link
Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory
Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
Transactions on Machine Learning Research (TMLR) , 2024 · Link•Code
Large Language Model Prompting With Episodic Memory
Van Dai Do, Quan Tran, Svetha Venkatesh and Hung Le
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 and Svetha Venkatesh
ECAI, 2024 · Link
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 (Pick) Thongtanunam
ISSTA, 2024 · Link
Variable-Agnostic Causal Exploration for Reinforcement Learning
Minh Hoang Nguyen, Hung Le, Svetha Venkatesh
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh and Truyen Tran
IJCAI, 2024 · Link
Beyond Surprise: Improving Exploration Through Surprise Novelty
Hung Le, Kien Do, Dung Nguyen and Svetha Venkatesh
20237
Universal Graph Continual Learning
Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, and Hung Le.
Transactions on Machine Learning Research (TMLR) , 2023 · Link
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.
Artificial Intelligence, 2023 · Link
Improving Domain Generalization with Interpolation Robustness
Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta
ACML, 2023 · Link
The Application of Machine Learning in Micrometeoroid and Orbital Debris Impact Protection and Risk Assessment for Spacecraft
Shannon Ryan, Neeraj Mohan Sushma, Hung Le, Arun Kumar A V, Santu Rana, Sevvandi Kandanaarachchi, Svetha Venkatesh
International Journal of Impact Engineering, 2023 · Link
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training
Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
IJCAI, 2023 · Link
Improving Out-of-distribution Generalization with Indirection Representations
Kha Pham, Hung Le, Man Ngo, Truyen Tran
ICLR, 2023 · Link
Memory-Augmented Theory of Mind Network
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
AAAI, 2023 · Link
202211
Learning to Constrain Policy Optimization with Virtual Trust Region
Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
Kha Pham, Hung Le, Man Ngo, Truyen Tran
NeurIPS, 2022 · Link
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
NeurIPS, 2022 · Link
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
ICONIP (Oral), 2022 · Link
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System
Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh Nguyen Dang, Duc Nguyen, Hung Le.
ICONIP (Oral), 2022 · Link
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
ECCV, 2022 · Link
Neurocoder: General-Purpose Computation Using Stored Neural Programs
Hung Le, Svetha Venkatesh.
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, Tien Dung Le, Minh-Tien Nguyen, Shahab Sabahi, Hung Le
NAACL-Findings, 2022 · Link
Generative Pseudo-Inverse Memory
Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh
ICLR, 2022 · Link
Learning Theory of Mind via Dynamic Traits Attribution
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Truyen Tran, Svetha Venkatesh
AAMAS, 2022 · Link
Episodic Policy Gradient Training
Hung Le, Thommen Karimpanal George, Majid Abdolshah, Kien Do, Dung Nguyen, Svetha Venkatesh
20215
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
Hung Le, Thommen Karimpanal George, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
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.
ICONIP, 2021 · Link
From Deep Learning to Deep Reasoning
Truyen Tran, Vuong Le, Hung Le, Thao M Le
KDD (Tutorial), 2021 · Link
DeepProcess: Supporting Business Process Execution Using a MANN-based Recommender System
Asjad Khan, Aditya Ghose, Hoa Dam, Hung Le, Truyen Tran, Kien Do.
ICSOC, 2021 · Link
A New Representation of Successor Features for Transfer across Dissimilar Environments
Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh.
ICML (Spotlight), 2021 · Link
20203
Self-attentive Associative Memory
Hung Le, Truyen Tran, Svetha Venkatesh
LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition
Huu Tin Hoang, Chun-Jen Peng, Hung Tran, Hung Le, Huy Hoang Nguyen.
ICPR, 2020 · Link
Neural Stored-Program Memory
Hung Le, Truyen Tran, Svetha Venkatesh
20191
Learning to Remember More with Less Memorization
Hung Le, Truyen Tran, Svetha Venkatesh
20183
Variational Memory Encoder-Decoder
Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning
Hung Le, Truyen Tran, Svetha Venkatesh
Dual Control Memory Augmented Neural Networks for Treatment Recommendations
Hung Le, Truyen Tran, Svetha Venkatesh