Publications

2025 (1)

Multi-Reference Preference Optimization for Large Language Models

Published/Accepted at AAAI, 2025

Authors: Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
Link•Code•Blog

2024 (8)

Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains

Published/Accepted at WACV, 2024

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

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

Published/Accepted at Transactions on Machine Learning Research (TMLR) , 2024

Authors: Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
Link•Code

Large Language Model Prompting With Episodic Memory

Published/Accepted at ECAI (Oral), 2024

Authors: Van Dai Do, Quan Tran, Svetha Venkatesh and Hung Le
PDF•Link

Revisiting the Dataset Bias Problem from a Statistical Perspective

Published/Accepted at ECAI, 2024

Authors: Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana and Svetha Venkatesh
Link

VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction

Published/Accepted at ISSTA, 2024

Authors: Thanh-Dat Nguyen, Tung Do-Viet, Hung Nguyen-Duy, Tuan-Hai Luu, Hung Le, Bach Le, Patanamon (Pick) Thongtanunam
Link

Variable-Agnostic Causal Exploration for Reinforcement Learning

Published/Accepted at ECML-PKDD, 2024

Authors: Minh Hoang Nguyen, Hung Le, Svetha Venkatesh
Code•Link

Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach

Published/Accepted at IJCAI, 2024

Authors: Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh and Truyen Tran
Link

Beyond Surprise: Improving Exploration Through Surprise Novelty

Published/Accepted at AAMAS (Oral), 2024

Authors: Hung Le, Kien Do, Dung Nguyen and Svetha Venkatesh
Code•PDF•Link

2023 (7)

Universal Graph Continual Learning

Published/Accepted at Transactions on Machine Learning Research (TMLR) , 2023

Authors: Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, and Hung Le.
Link

Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets

Published/Accepted at Artificial Intelligence, 2023

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

Improving Domain Generalization with Interpolation Robustness

Published/Accepted at ACML, 2023

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

The Application of Machine Learning in Micrometeoroid and Orbital Debris Impact Protection and Risk Assessment for Spacecraft

Published/Accepted at International Journal of Impact Engineering, 2023

Authors: Shannon Ryan, Neeraj Mohan Sushma, Hung Le, Arun Kumar A V, Santu Rana, Sevvandi Kandanaarachchi, Svetha Venkatesh
Link

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training

Published/Accepted at IJCAI, 2023

Authors: Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Link

Improving Out-of-distribution Generalization with Indirection Representations

Published/Accepted at ICLR, 2023

Authors: Kha Pham, Hung Le, Man Ngo, Truyen Tran
Link

Memory-Augmented Theory of Mind Network

Published/Accepted at AAAI, 2023

Authors: Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Link

2022 (11)

Learning to Constrain Policy Optimization with Virtual Trust Region

Published/Accepted at NeurIPS (Spotlight), 2022

Authors: Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
PDF•Link

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

Published/Accepted at NeurIPS, 2022

Authors: Kha Pham, Hung Le, Man Ngo, Truyen Tran
Link

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation

Published/Accepted at NeurIPS, 2022

Authors: Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, HARIPRIYA HARIKUMAR, Truyen Tran, Santu Rana, Svetha Venkatesh
Link

Improving Document Image Understanding with Reinforcement Finetuning

Published/Accepted at ICONIP (Oral), 2022

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

HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System

Published/Accepted at ICONIP (Oral), 2022

Authors: Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh Nguyen Dang, Duc Nguyen, Hung Le.
Link

Towards Effective and Robust Neural Trojan Defenses via Input Filtering

Published/Accepted at ECCV, 2022

Authors: Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Link

Neurocoder: General-Purpose Computation Using Stored Neural Programs

Published/Accepted at ICML (Spotlight), 2022

Authors: Hung Le, Svetha Venkatesh.
Code•PDF•Link

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

Published/Accepted at NAACL-Findings, 2022

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

Generative Pseudo-Inverse Memory

Published/Accepted at ICLR, 2022

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

Learning Theory of Mind via Dynamic Traits Attribution

Published/Accepted at AAMAS, 2022

Authors: Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Truyen Tran, Svetha Venkatesh
Link

Episodic Policy Gradient Training

Published/Accepted at AAAI (Oral), 2022

Authors: Hung Le, Thommen Karimpanal George, Majid Abdolshah, Kien Do, Dung Nguyen, Svetha Venkatesh
Code•Talk•Slides•PDF•Link

2019 (1)

Learning to Remember More with Less Memorization

Published/Accepted at ICLR (Oral), 2019

Authors: Hung Le, Truyen Tran, Svetha Venkatesh
Code•Poster•Blog•PDF•Link

Publications

2025 (1)

2024 (8)

2023 (7)

2022 (11)

2021 (5)

2020 (3)

2019 (1)

2018 (3)