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ORCIDHung Le 0002
Thai Hung Le 0002 – Hung Thai Le 0002
Person information
- affiliation: Deakin University, Applied Artificial Intelligence Institute, Geelong, Australia
- affiliation (PhD 2020): Deakin University, Geelong, Australia
Other persons with the same name
- Hung Le — disambiguation page
- Hung Le 0001
![[0000-0001-8223-9944]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8223-9944")
— University of Massachusetts Amherst, MA, USA - Hung Le 0003 — Amazon (and 3 more)
- Thai Hung Le 0001 — PSL University, CNRS, Inria, France
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2020 – today
- 2026
[c51]Manh Nguyen, Sunil Gupta, Hung Le:
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models. AAAI 2026: 32546-32554- [c50]Giang Do, Hung Le, Truyen Tran:
Do Domain-specific Experts exist in MoE-based LLMs? ACL (Findings) 2026: 2324-2340 - [c49]Van Dai Do, Manh Nguyen, Svetha Venkatesh, Hung Le:
SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning. ACL (Findings) 2026: 3480-3507 - [i69]Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen, Hung Le:
Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting. CoRR abs/2602.01588 (2026) - [i68]Manh Nguyen, Anh Nguyen, Dung Nguyen, Svetha Venkatesh, Hung Le:
Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention. CoRR abs/2603.20640 (2026) - [i67]Giang Do, Hung Le, Truyen Tran:
Do Domain-specific Experts exist in MoE-based LLMs? CoRR abs/2604.05267 (2026) - [i66]Manh Nguyen, Sunil Gupta, Hung Le:
Beyond Majority Voting: Efficient Best-Of-N with Radial Consensus Score. CoRR abs/2604.12196 (2026) - [i65]Hung Le, Svetha Venkatesh:
Continual Fine-Tuning of Large Language Models via Program Memory. CoRR abs/2605.13162 (2026) - [i64]Minh Hoang Nguyen, Dai Do, Huu Hiep Nguyen, Dung Nguyen, Kien Do, Hung Le:
Reviving Error Correction in Modern Deep Time-Series Forecasting. CoRR abs/2605.21088 (2026) - [i63]Manh Nguyen, Sunil Gupta, Hung Le:
Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning. CoRR abs/2605.26849 (2026) - [i62]Giang Do, Hung Le, Truyen Tran:
Eigenvectors of Experts are Training-free Non-collapsing Routers. CoRR abs/2605.30992 (2026) - [i61]Yafeng Wu, Huu Hiep Nguyen, Thin Nguyen, Hung Le:
Beyond Tokenization: Direct Timestep Embedding and Contrastive Alignment for Time-Series Question Answering. CoRR abs/2606.18986 (2026) - [i60]Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen, Hung Le:
Spectral Retrieval-Augmented Time-Series Forecasting. CoRR abs/2606.19412 (2026) - [i59]Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen, Hung Le:
Does Text Actually Help? Uncovering and Resolving Text Collapse in Multimodal Time Series Forecasting. CoRR abs/2606.19413 (2026) - 2025
- [j8]Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Sunil Gupta, Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh:
Accelerated experimental design using a human-AI teaming framework. Knowl. Based Syst. 315: 113138 (2025) - [j7]Thommen Karimpanal George, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh:
LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying. Neural Comput. Appl. 37(18): 12447-12470 (2025) - [j6]Giang Do, Kha Pham, Hung Le, Truyen Tran:
On the Role of Discrete Representation in Sparse Mixture of Experts. Trans. Mach. Learn. Res. 2025 (2025) - [j5]Bao Duong, Hung Le, Biwei Huang, Thin Nguyen:
Reinforcement Learning for Causal Discovery without Acyclicity Constraints. Trans. Mach. Learn. Res. 2025 (2025) - [j4]Hung Le, Van Dai Do, Dung Nguyen, Svetha Venkatesh:
Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. Trans. Mach. Learn. Res. 2025 (2025) - [c48]Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh:
Multi-Reference Preference Optimization for Large Language Models. AAAI 2025: 24375-24383 - [c47]Van Dai Do, Quan Hung Tran, Svetha Venkatesh, Hung Le:
Dynamic Steering With Episodic Memory For Large Language Models. ACL (Findings) 2025: 13731-13749 - [c46]Linh Le Pham Van, Minh Hoang Nguyen, Duc Kieu, Hung Le, Hung The Tran, Sunil Gupta:
DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-Domain Reinforcement Learning. ECAI 2025: 2331-2338 - [c45]Van Dai Do, Quan Hung Tran, Ahmed Kirmani, Lu Zhang, Hung Le:
Sample Efficient Alignment Learning With Episodic Control. EMNLP (Findings) 2025: 10601-10618 - [c44]Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta:
Federated Domain Generalization with Latent Space Inversion. ICDM 2025: 642-651 - [c43]Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen:
Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting. ICDM 2025: 1340-1349 - [c42]Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh:
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. ICLR 2025 - [c41]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering. ICLR 2025 - [c40]Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. AAMAS 2025: 2693-2695 - [c39]Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. IJCAI 2025: 223-231 - [c38]Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le:
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer. IJCAI 2025: 5994-6002 - [c37]Giang Do, Hung Le, Truyen Tran:
SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse. NAACL (Findings) 2025: 2012-2025 - [c36]Viet-Tung Do, Xuan-Quang Nguyen, Van-Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Jeff Yang, Hajime Hotta, Minh-Tien Nguyen, Hung Le:
Automatic Prompt Selection for Large Language Models. PAKDD (3) 2025: 91-102 - [c35]Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung The Tran, Sunil Gupta:
Hybrid Cross-Domain Robust Reinforcement Learning. ECML/PKDD (6) 2025: 112-128 - [c34]Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh:
Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains. WACV 2025: 7389-7398 - [i58]Giang Do, Hung Le, Truyen Tran:
Sparse Mixture of Experts as Unified Competitive Learning. CoRR abs/2503.22996 (2025) - [i57]Giang Do, Hung Le, Truyen Tran:
S2MoE: Robust Sparse Mixture of Experts via Stochastic Learning. CoRR abs/2503.23007 (2025) - [i56]Hung Le, Dai Do, Dung Nguyen, Svetha Venkatesh:
Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. CoRR abs/2504.02273 (2025) - [i55]Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le:
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer. CoRR abs/2505.09114 (2025) - [i54]Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung The Tran, Sunil Gupta:
Hybrid Cross-domain Robust Reinforcement Learning. CoRR abs/2505.23003 (2025) - [i53]Linh Le Pham Van, Minh Hoang Nguyen, Duc Kieu, Hung Le, Hung The Tran, Sunil Gupta:
DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning. CoRR abs/2507.20499 (2025) - [i52]Manh Nguyen, Sunil Gupta, Hung Le:
CAAD: Context-Aware Adaptive Decoding for Truthful Text Generation. CoRR abs/2508.02184 (2025) - [i51]Dai Do, Manh Nguyen, Svetha Venkatesh, Hung Le:
SPaRFT: Self-Paced Reinforcement Fine-Tuning for Large Language Models. CoRR abs/2508.05015 (2025) - [i50]Minh Hoang Nguyen, Van Dai Do, Dung Nguyen, Thin Nguyen, Hung Le:
CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning. CoRR abs/2508.13721 (2025) - [i49]Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen:
Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting. CoRR abs/2510.01206 (2025) - [i48]Manh Nguyen, Sunil Gupta, Dai Do, Hung Le:
GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation. CoRR abs/2511.03900 (2025) - [i47]Manh Nguyen, Sunil Gupta, Hung Le:
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models. CoRR abs/2511.07694 (2025) - [i46]Manh Nguyen, Dung Nguyen, Dai Do, Svetha Venkatesh, Hung Le:
Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models. CoRR abs/2511.09864 (2025) - [i45]Manh Nguyen, Sunil Gupta, Hung Le:
Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models. CoRR abs/2512.04351 (2025) - [i44]Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta:
Federated Domain Generalization with Latent Space Inversion. CoRR abs/2512.10224 (2025) - 2024
- [j3]Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran:
Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory. Trans. Mach. Learn. Res. 2024 (2024) - [c33]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS 2024: 1084-1092 - [c32]Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Revisiting the Dataset Bias Problem from a Statistical Perspective. ECAI 2024: 3120-3127 - [c31]Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Model Prompting with Episodic Memory. ECAI 2024: 3891-3898 - [c30]Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. IJCAI 2024: 166-174 - [c29]Thanh-Dat Nguyen, Tung Do-Viet, Hung Nguyen-Duy, Tuan-Hai Luu, Hung Le, Bach Le, Patanamon Thongtanunam:
VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction. ISSTA 2024: 704-716 - [c28]Minh Hoang Nguyen, Hung Le, Svetha Venkatesh:
Variable-Agnostic Causal Exploration for Reinforcement Learning. ECML/PKDD (2) 2024: 216-232 - [i43]Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen:
Variational Flow Models: Flowing in Your Style. CoRR abs/2402.02977 (2024) - [i42]Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR abs/2402.03577 (2024) - [i41]Viet-Tung Do, Van-Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Jeff Yang, Hajime Hotta, Minh-Tien Nguyen, Hung Le:
Automatic Prompt Selection for Large Language Models. CoRR abs/2404.02717 (2024) - [i40]Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran:
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR abs/2404.11870 (2024) - [i39]Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh:
Multi-Reference Preference Optimization for Large Language Models. CoRR abs/2405.16388 (2024) - [i38]Giang Do, Hung Le, Truyen Tran:
SimSMoE: Solving Representational Collapse via Similarity Measure. CoRR abs/2406.15883 (2024) - [i37]Thanh-Dat Nguyen, Tung Do-Viet, Hung Nguyen-Duy, Tuan-Hai Luu, Hung Le, Bach Le, Patanamon Thongtanunam:
VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction. CoRR abs/2407.06826 (2024) - [i36]Minh Hoang Nguyen, Hung Le, Svetha Venkatesh:
Variable-Agnostic Causal Exploration for Reinforcement Learning. CoRR abs/2407.12437 (2024) - [i35]Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Models Prompting With Episodic Memory. CoRR abs/2408.07465 (2024) - [i34]Bao Duong, Hung Le, Thin Nguyen:
ALIAS: DAG Learning with Efficient Unconstrained Policies. CoRR abs/2408.13448 (2024) - [i33]Hung Le, Kien Do, Dung Nguyen, Sunil Gupta, Svetha Venkatesh:
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. CoRR abs/2410.10132 (2024) - [i32]Giang Do, Kha Pham, Hung Le, Truyen Tran:
On the effectiveness of discrete representations in sparse mixture of experts. CoRR abs/2411.19402 (2024) - 2023
- [j2]Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. Artif. Intell. 325: 104021 (2023) - [j1]Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le:
Universal Graph Continual Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c27]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. AAAI 2023: 11630-11637 - [c26]Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta:
Domain Generalization with Interpolation Robustness. ACML 2023: 1039-1054 - [c25]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Improving Out-of-distribution Generalization with Indirection Representations. ICLR 2023 - [c24]Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI 2023: 4082-4090 - [i31]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. CoRR abs/2301.06926 (2023) - [i30]Sunil Gupta, Alistair Shilton, Arun Kumar A. V., Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh:
BO-Muse: A human expert and AI teaming framework for accelerated experimental design. CoRR abs/2303.01684 (2023) - [i29]Minh-Tien Nguyen, Duy-Hung Nguyen, Shahab Sabahi, Hung Le, Jeff Yang, Hajime Hotta:
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust. CoRR abs/2305.07230 (2023) - [i28]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Intrinsic Motivation via Surprise Memory. CoRR abs/2308.04836 (2023) - [i27]Thommen George Karimpanal, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh:
LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying. CoRR abs/2308.13542 (2023) - [i26]Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le:
Universal Graph Continual Learning. CoRR abs/2308.13982 (2023) - 2022
- [c23]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. AAAI 2022: 7317-7325 - [c22]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS 2022: 954-962 - [c21]Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh:
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) 2022: 283-300 - [c20]Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh:
Generative Pseudo-Inverse Memory. ICLR 2022 - [c19]Hung Le, Svetha Venkatesh:
Neurocoder: General-Purpose Computation Using Stored Neural Programs. ICML 2022: 12204-12221 - [c18]Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, Hung Le:
Improving Document Image Understanding with Reinforcement Finetuning. ICONIP (7) 2022: 51-63 - [c17]Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh D. Nguyen, Hung Le:
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. ICONIP (7) 2022: 89-99 - [c16]Duy-Hung Nguyen, Nguyen-Viet-Dung Nghiem, Bao-Sinh Nguyen, Dung Tien Le, Shahab Sabahi, Minh-Tien Nguyen, Hung Le:
Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback. NAACL-HLT (Findings) 2022: 1919-1930 - [c15]Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS 2022 - [c14]Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh:
Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS 2022 - [c13]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. NeurIPS 2022 - [i25]Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh:
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR abs/2202.12154 (2022) - [i24]Duy-Hung Nguyen, Nguyen-Viet-Dung Nghiem, Bao-Sinh Nguyen, Dung Tien Le, Shahab Sabahi, Minh-Tien Nguyen, Hung Le:
Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback. CoRR abs/2204.05512 (2022) - [i23]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. CoRR abs/2204.09047 (2022) - [i22]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh:
Memory-Constrained Policy Optimization. CoRR abs/2204.09315 (2022) - [i21]Bao-Sinh Nguyen, Quang-Bach Tran, Tuan Anh Nguyen Dang, Duc Nguyen, Hung Le:
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. CoRR abs/2206.02628 (2022) - [i20]Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR abs/2209.10359 (2022) - [i19]Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, Hung Le:
Improving Document Image Understanding with Reinforcement Finetuning. CoRR abs/2209.12561 (2022) - [i18]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. CoRR abs/2210.12739 (2022) - [i17]Do Hoang Thai Duong, Nguyen Hong Son, Hung Le, Minh-Tien Nguyen:
Learning to Generate Questions by Enhancing Text Generation with Sentence Selection. CoRR abs/2212.12192 (2022) - 2021
- [c12]Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh:
A New Representation of Successor Features for Transfer across Dissimilar Environments. ICML 2021: 1-9 - [c11]Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen-Viet-Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le:
Robust Deep Reinforcement Learning for Extractive Legal Summarization. ICONIP (6) 2021: 597-604 - [c10]Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta:
DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC 2021: 19-33 - [c9]Truyen Tran, Vuong Le, Hung Le, Thao Minh Le:
From Deep Learning to Deep Reasoning. KDD 2021: 4076-4077 - [c8]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS 2021: 30313-30325 - [i16]Hung Thai Le:
Memory and attention in deep learning. CoRR abs/2107.01390 (2021) - [i15]Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh:
A New Representation of Successor Features for Transfer across Dissimilar Environments. CoRR abs/2107.08426 (2021) - [i14]Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Plug and Play, Model-Based Reinforcement Learning. CoRR abs/2108.08960 (2021) - [i13]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR abs/2111.02104 (2021) - [i12]Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets. CoRR abs/2111.02787 (2021) - [i11]Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen-Viet-Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le:
Robust Deep Reinforcement Learning for Extractive Legal Summarization. CoRR abs/2111.07158 (2021) - [i10]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. CoRR abs/2112.01853 (2021) - 2020
- [c7]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. ICLR 2020 - [c6]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. ICML 2020: 5682-5691 - [c5]Huu-Tin Hoang, Chun-Jen Peng, Hung Vinh Tran, Hung Le, Huy Hoang Nguyen:
LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition. ICPR 2020: 4813-4820 - [i9]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. CoRR abs/2002.03519 (2020) - [i8]Hung Le, Svetha Venkatesh:
Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs. CoRR abs/2009.11443 (2020)
2010 – 2019
- 2019
- [c4]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. ICLR 2019 - [i7]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. CoRR abs/1901.01347 (2019) - [i6]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. CoRR abs/1906.08862 (2019) - [i5]Duc Nguyen, Nhan Tran, Hung Le:
Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory. CoRR abs/1911.01577 (2019) - 2018
- [c3]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. KDD 2018: 1637-1645 - [c2]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. NeurIPS 2018: 1515-1525 - [c1]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. PAKDD (3) 2018: 273-284 - [i4]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. CoRR abs/1802.00662 (2018) - [i3]Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta:
Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR abs/1802.00938 (2018) - [i2]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. CoRR abs/1802.03689 (2018) - [i1]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. CoRR abs/1807.09950 (2018)
Coauthor Index
Van Dai Do
aka: Dai Do
aka: Dai Do
Thommen George Karimpanal
aka: Thommen Karimpanal George
aka: Thommen Karimpanal George
[c49] [i68] [i65] [j8] [j7] [j4] [c48] [c47] [c44] [c42] [c40] [c39] [c34] [i56] [i51] [i46] [i44] [j3] [c33] [c32] [c31] [c30] [c28] [i42] [i40] [i39] [i36] [i35] [i33] [j2] [c27] [c26] [c24] [i31] [i30] [i28] [i27] [c23] [c22] [c21] [c20] [c19] [c15] [c14] [i25] [i23] [i22] [i20] [c12] [c8] [i15] [i14] [i13] [i12] [i10] [c7] [c6] [i9] [i8] [c4] [i7] [i6] [c3] [c2] [c1] [i4] [i2] [i1]
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