Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. - Hung Le 002; Truyen Tran 001; Svetha Venkatesh (KDD, 2018)

Variational Memory Encoder-Decoder. - Hung Le 002; Truyen Tran 001; Thin Nguyen; Svetha Venkatesh (NeurIPS, 2018)

Dual Control Memory Augmented Neural Networks for Treatment Recommendations. - Hung Le 002; Truyen Tran 001; Svetha Venkatesh (PAKDD (3), 2018)

Memory-Augmented Neural Networks for Predictive Process Analytics. - Muhammad Asjad Khan; Hung Le 002; Kien Do; Truyen Tran 001; Aditya Ghose; Khanh Hoa Dam; Renuka Sindhgatta (CoRR, 2018)

Learning to Remember More with Less Memorization. - Hung Le 002; Truyen Tran 001; Svetha Venkatesh (ICLR, 2019)

Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory. - Duc Nguyen; Nhan Tran; Hung Le 002 (CoRR, 2019)

Neural Stored-program Memory. - Hung Le 002; Truyen Tran 001; Svetha Venkatesh (ICLR, 2020)

Self-Attentive Associative Memory. - Hung Le 002; Truyen Tran 001; Svetha Venkatesh (ICML, 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 002; Huy Hoang Nguyen (ICPR, 2020)

Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs. - Hung Le 002; Svetha Venkatesh (CoRR, 2020)

A New Representation of Successor Features for Transfer across Dissimilar Environments. - Majid Abdolshah; Hung Le 002; Thommen George Karimpanal; Sunil Gupta 001; Santu Rana; Svetha Venkatesh (ICML, 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 002 (ICONIP (6), 2021)

DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. - Asjad Khan; Hung Le 002; Kien Do; Truyen Tran 001; Aditya Ghose; Hoa Khanh Dam; Renuka Sindhgatta (ICSOC, 2021)

From Deep Learning to Deep Reasoning. - Truyen Tran 001; Vuong Le; Hung Le 002; Thao Minh Le (KDD, 2021)

Model-Based Episodic Memory Induces Dynamic Hybrid Controls. - Hung Le 002; Thommen George Karimpanal; Majid Abdolshah; Truyen Tran 001; Svetha Venkatesh (NeurIPS, 2021)

Memory and attention in deep learning. - Hung Thai Le 002 (CoRR, 2021)

Plug and Play, Model-Based Reinforcement Learning. - Majid Abdolshah; Hung Le 002; Thommen George Karimpanal; Sunil Gupta 001; Santu Rana; Svetha Venkatesh (CoRR, 2021)

Episodic Policy Gradient Training. - Hung Le 002; Majid Abdolshah; Thommen George Karimpanal; Kien Do; Dung Nguyen 001; Svetha Venkatesh (AAAI, 2022)

Learning Theory of Mind via Dynamic Traits Attribution. - Dung Nguyen 001; Phuoc Nguyen; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2022)

Towards Effective and Robust Neural Trojan Defenses via Input Filtering. - Kien Do; Haripriya Harikumar; Hung Le 002; Dung Nguyen 001; Truyen Tran 001; Santu Rana; Dang Nguyen 002; Willy Susilo; Svetha Venkatesh (ECCV (5), 2022)

Generative Pseudo-Inverse Memory. - Kha Pham; Hung Le 002; Man Ngo; Truyen Tran 001; Bao Ho; Svetha Venkatesh (ICLR, 2022)

Neurocoder: General-Purpose Computation Using Stored Neural Programs. - Hung Le 002; Svetha Venkatesh (ICML, 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 002 (ICONIP (7), 2022)

HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. - Bao-Sinh Nguyen; Quang-Bach Tran; Tuan-Anh D. Nguyen; Hung Le 002 (ICONIP (7), 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 002 (NAACL-HLT (Findings), 2022)

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. - Kien Do; Hung Le 002; Dung Nguyen 001; Dang Nguyen 002; Haripriya Harikumar; Truyen Tran 001; Santu Rana; Svetha Venkatesh (NeurIPS, 2022)

Learning to Constrain Policy Optimization with Virtual Trust Region. - Hung Le 002; Thommen Karimpanal George; Majid Abdolshah; Dung Nguyen 001; Kien Do; Sunil Gupta 001; Svetha Venkatesh (NeurIPS, 2022)

Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. - Kha Pham; Hung Le 002; Man Ngo; Truyen Tran 001 (NeurIPS, 2022)

Memory-Constrained Policy Optimization. - Hung Le 002; Thommen George Karimpanal; Majid Abdolshah; Dung Nguyen 001; Kien Do; Sunil Gupta 001; Svetha Venkatesh (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 002 (CoRR, 2022)

Learning to Generate Questions by Enhancing Text Generation with Sentence Selection. - Do Hoang Thai Duong; Nguyen Hong Son; Hung Le 002; Minh-Tien Nguyen (CoRR, 2022)

Memory-Augmented Theory of Mind Network. - Dung Nguyen 001; Phuoc Nguyen; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (AAAI, 2023)

Domain Generalization with Interpolation Robustness. - Ragja Palakkadavath; Thanh Nguyen-Tang; Hung Le 002; Svetha Venkatesh; Sunil Gupta 001 (ACML, 2023)

Improving Out-of-distribution Generalization with Indirection Representations. - Kha Pham; Hung Le 002; Man Ngo; Truyen Tran 001 (ICLR, 2023)

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. - Dung Nguyen 001; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (IJCAI, 2023)

BO-Muse: A human expert and AI teaming framework for accelerated experimental design. - Sunil Gupta 001; Alistair Shilton; Arun Kumar A. V.; Shannon Ryan; Majid Abdolshah; Hung Le 002; Santu Rana; Julian Berk; Mahad Rashid; 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 002; Jeff Yang; Hajime Hotta (CoRR, 2023)

Intrinsic Motivation via Surprise Memory. - Hung Le 002; Kien Do; Dung Nguyen 001; Svetha Venkatesh (CoRR, 2023)

Universal Graph Continual Learning. - Thanh Duc Hoang; Do Viet Tung; Duy-Hung Nguyen; Bao-Sinh Nguyen; Huy Hoang Nguyen; Hung Le 002 (Trans. Mach. Learn. Res., 2023)

Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. - Thommen George Karimpanal; Hung Le 002; Majid Abdolshah; Santu Rana; Sunil Gupta 001; Truyen Tran 001; Svetha Venkatesh (Artif. Intell., 2023)

Beyond Surprise: Improving Exploration Through Surprise Novelty. - Hung Le 002; Kien Do; Dung Nguyen 001; Svetha Venkatesh (AAMAS, 2024)

Revisiting the Dataset Bias Problem from a Statistical Perspective. - Kien Do; Dung Nguyen 001; Hung Le 002; Thao Le 003; Dang Nguyen 002; Haripriya Harikumar; Truyen Tran 001; Santu Rana; Svetha Venkatesh (ECAI, 2024)

Large Language Model Prompting with Episodic Memory. - Dai Do; Quan Tran; Svetha Venkatesh; Hung Le 002 (ECAI, 2024)

Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. - Dung Nguyen 001; Hung Le 002; Kien Do; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (IJCAI, 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 002; Bach Le 001; Patanamon Thongtanunam (ISSTA, 2024)

Variable-Agnostic Causal Exploration for Reinforcement Learning. - Minh Hoang Nguyen; Hung Le 002; Svetha Venkatesh (ECML/PKDD (2), 2024)

Variational Flow Models: Flowing in Your Style. - Kien Do; Duc Kieu; Toan Nguyen 004; Dang Nguyen 002; Hung Le 002; Dung Nguyen 001; Thin Nguyen (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 002 (CoRR, 2024)

Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. - Hung Le 002; Dung Nguyen 001; Kien Do; Svetha Venkatesh; Truyen Tran 001 (CoRR, 2024)

Multi-Reference Preference Optimization for Large Language Models. - Hung Le 002; Quan Tran; Dung Nguyen 001; Kien Do; Saloni Mittal; Kelechi Ogueji; Svetha Venkatesh (CoRR, 2024)

SimSMoE: Solving Representational Collapse via Similarity Measure. - Giang Do; Hung Le 002; Truyen Tran 001 (CoRR, 2024)

Large Language Models Prompting With Episodic Memory. - Dai Do; Quan Tran; Svetha Venkatesh; Hung Le 002 (CoRR, 2024)

ALIAS: DAG Learning with Efficient Unconstrained Policies. - Bao Duong; Hung Le 002; Thin Nguyen (CoRR, 2024)

On the effectiveness of discrete representations in sparse mixture of experts. - Giang Do; Kha Pham; Hung Le 002; Truyen Tran 001 (CoRR, 2024)

Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory. - Hung Le 002; Dung Nguyen 001; Kien Do; Svetha Venkatesh; Truyen Tran 001 (Trans. Mach. Learn. Res., 2024)

Multi-Reference Preference Optimization for Large Language Models. - Hung Le 002; Quan Hung Tran; Dung Nguyen 001; Kien Do; Saloni Mittal; Kelechi Ogueji; Svetha Venkatesh (AAAI, 2025)

Dynamic Steering With Episodic Memory For Large Language Models. - Van Dai Do; Quan Hung Tran; Svetha Venkatesh; Hung Le 002 (ACL (Findings), 2025)

Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. - Hung Le 002; Dung Nguyen 001; Kien Do; Sunil Gupta 001; Svetha Venkatesh (ICLR, 2025)

Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering. - Kha Pham; Hung Le 002; Man Ngo; Truyen Tran 001 (ICLR, 2025)

Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. - Dung Nguyen 001; Hung Le 002; Kien Do; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2025)

SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse. - Giang Do; Hung Le 002; Truyen Tran 001 (NAACL (Findings), 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 002 (PAKDD (3), 2025)

Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains. - Ragja Palakkadavath; Hung Le 002; Thanh Nguyen-Tang; Sunil Gupta 001; Svetha Venkatesh (WACV, 2025)

Accelerated experimental design using a human-AI teaming framework. - Arun Kumar Anjanapura Venkatesh; Alistair Shilton; Sunil Gupta 001; Shannon Ryan; Majid Abdolshah; Hung Le 002; Santu Rana; Julian Berk; Mahad Rashid; Svetha Venkatesh (Knowl. Based Syst., 2025)

On the Role of Discrete Representation in Sparse Mixture of Experts. - Giang Do; Kha Pham; Hung Le 002; Truyen Tran 001 (Trans. Mach. Learn. Res., 2025)

Reinforcement Learning for Causal Discovery without Acyclicity Constraints. - Bao Duong; Hung Le 002; Biwei Huang; Thin Nguyen (Trans. Mach. Learn. Res., 2025)

Sparse Mixture of Experts as Unified Competitive Learning. - Giang Do; Hung Le 002; Truyen Tran 001 (CoRR, 2025)

S2MoE: Robust Sparse Mixture of Experts via Stochastic Learning. - Giang Do; Hung Le 002; Truyen Tran 001 (CoRR, 2025)

Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. - Hung Le 002; Dai Do; Dung Nguyen 001; Svetha Venkatesh (CoRR, 2025)

Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer. - Minh Hoang Nguyen; Linh Le Pham Van; Thommen George Karimpanal; Sunil Gupta 001; Hung Le 002 (CoRR, 2025)

Hybrid Cross-domain Robust Reinforcement Learning. - Linh Le Pham Van; Minh Hoang Nguyen; Hung Le 002; Hung The Tran; Sunil Gupta 001 (CoRR, 2025)

LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying. - Thommen Karimpanal George; Buddhika Laknath Semage; Santu Rana; Hung Le 002; Truyen Tran 001; Sunil Gupta 001; Svetha Venkatesh (Neural Comput. Appl., 2025)

DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning. - Linh Le Pham Van; Minh Hoang Nguyen; Duc Kieu; Hung Le 002; Hung The Tran; Sunil Gupta 001 (CoRR, 2025)

SPaRFT: Self-Paced Reinforcement Fine-Tuning for Large Language Models. - Dai Do; Manh Nguyen; Svetha Venkatesh; Hung Le 002 (CoRR, 2025)

CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning. - Minh Hoang Nguyen; Van Dai Do; Dung Nguyen 001; Thin Nguyen; Hung Le 002 (CoRR, 2025)