Hung Le - RankMe

116 papers A* 25A 9B 1C 1Journal 67Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention. CoRR Manh Nguyen, Anh Nguyen, Dung Nguyen, Svetha Venkatesh, Hung Le
2026	A*	`conf`	Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models. AAAI Manh Nguyen, Sunil Gupta, Hung Le
2026	J	`jnl`	Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting. CoRR Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen, Hung Le
2025	J	`jnl`	Accelerated experimental design using a human-AI teaming framework. Knowl. Based Syst. Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Sunil Gupta, Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh
2025	A*	`conf`	Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting. ICDM Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen
2025	J	`jnl`	Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting. CoRR Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen
2025	—	`conf`	Automatic Prompt Selection for Large Language Models. PAKDD (3) Viet-Tung Do, Xuan-Quang Nguyen, Van-Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Jeff Yang, Hajime Hotta, Minh-Tien Nguyen, Hung Le
2025	A*	`conf`	Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer. IJCAI Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le
2025	J	`jnl`	Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer. CoRR Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le
2025	J	`jnl`	CAAD: Context-Aware Adaptive Decoding for Truthful Text Generation. CoRR Manh Nguyen, Sunil Gupta, Hung Le
2025	J	`jnl`	CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning. CoRR Minh Hoang Nguyen, Van Dai Do, Dung Nguyen, Thin Nguyen, Hung Le
2025	J	`jnl`	Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models. CoRR Manh Nguyen, Sunil Gupta, Hung Le
2025	A	`conf`	DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-Domain Reinforcement Learning. ECAI Linh Le Pham Van, Minh Hoang Nguyen, Duc Kieu, Hung Le, Hung The Tran, Sunil Gupta
2025	J	`jnl`	DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning. CoRR Linh Le Pham Van, Minh Hoang Nguyen, Duc Kieu, Hung Le, Hung The Tran, Sunil Gupta
2025	—	`conf`	Dynamic Steering With Episodic Memory For Large Language Models. ACL (Findings) Van Dai Do, Quan Hung Tran, Svetha Venkatesh, Hung Le
2025	A	`conf`	Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains. WACV Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh
2025	A*	`conf`	Federated Domain Generalization with Latent Space Inversion. ICDM Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta
2025	J	`jnl`	Federated Domain Generalization with Latent Space Inversion. CoRR Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta
2025	J	`jnl`	GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation. CoRR Manh Nguyen, Sunil Gupta, Dai Do, Hung Le
2025	—	`conf`	Hybrid Cross-Domain Robust Reinforcement Learning. ECML/PKDD (6) Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung The Tran, Sunil Gupta
2025	J	`jnl`	Hybrid Cross-domain Robust Reinforcement Learning. CoRR Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung The Tran, Sunil Gupta
2025	J	`jnl`	LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying. Neural Comput. Appl. Thommen Karimpanal George, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2025	A*	`conf`	Multi-Reference Preference Optimization for Large Language Models. AAAI Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
2025	A	`conf`	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. AAMAS Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	A*	`conf`	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. IJCAI Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	J	`jnl`	On the Role of Discrete Representation in Sparse Mixture of Experts. Trans. Mach. Learn. Res. Giang Do, Kha Pham, Hung Le, Truyen Tran
2025	J	`jnl`	Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models. CoRR Manh Nguyen, Sunil Gupta, Hung Le
2025	A*	`conf`	Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering. ICLR Kha Pham, Hung Le, Man Ngo, Truyen Tran
2025	J	`jnl`	Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. CoRR Hung Le, Dai Do, Dung Nguyen, Svetha Venkatesh
2025	J	`jnl`	Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. Trans. Mach. Learn. Res. Hung Le, Van Dai Do, Dung Nguyen, Svetha Venkatesh
2025	J	`jnl`	Reinforcement Learning for Causal Discovery without Acyclicity Constraints. Trans. Mach. Learn. Res. Bao Duong, Hung Le, Biwei Huang, Thin Nguyen
2025	J	`jnl`	S2MoE: Robust Sparse Mixture of Experts via Stochastic Learning. CoRR Giang Do, Hung Le, Truyen Tran
2025	J	`jnl`	SPaRFT: Self-Paced Reinforcement Fine-Tuning for Large Language Models. CoRR Dai Do, Manh Nguyen, Svetha Venkatesh, Hung Le
2025	—	`conf`	Sample Efficient Alignment Learning With Episodic Control. EMNLP (Findings) Van Dai Do, Quan Hung Tran, Ahmed Kirmani, Lu Zhang, Hung Le
2025	—	`conf`	SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse. NAACL (Findings) Giang Do, Hung Le, Truyen Tran
2025	J	`jnl`	Sparse Mixture of Experts as Unified Competitive Learning. CoRR Giang Do, Hung Le, Truyen Tran
2025	A*	`conf`	Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. ICLR Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2025	J	`jnl`	Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models. CoRR Manh Nguyen, Dung Nguyen, Dai Do, Svetha Venkatesh, Hung Le
2024	J	`jnl`	ALIAS: DAG Learning with Efficient Unconstrained Policies. CoRR Bao Duong, Hung Le, Thin Nguyen
2024	J	`jnl`	Automatic Prompt Selection for Large Language Models. CoRR Viet-Tung Do, Van-Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Jeff Yang, Hajime Hotta, Minh-Tien Nguyen, Hung Le
2024	A	`conf`	Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
2024	A*	`conf`	Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. IJCAI Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2024	J	`jnl`	Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
2024	A	`conf`	Large Language Model Prompting with Episodic Memory. ECAI Dai Do, Quan Tran, Svetha Venkatesh, Hung Le
2024	J	`jnl`	Large Language Models Prompting With Episodic Memory. CoRR Dai Do, Quan Tran, Svetha Venkatesh, Hung Le
2024	J	`jnl`	Multi-Reference Preference Optimization for Large Language Models. CoRR Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
2024	J	`jnl`	On the effectiveness of discrete representations in sparse mixture of experts. CoRR Giang Do, Kha Pham, Hung Le, Truyen Tran
2024	J	`jnl`	Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory. Trans. Mach. Learn. Res. Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
2024	A	`conf`	Revisiting the Dataset Bias Problem from a Statistical Perspective. ECAI Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	SimSMoE: Solving Representational Collapse via Similarity Measure. CoRR Giang Do, Hung Le, Truyen Tran
2024	J	`jnl`	Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. CoRR Hung Le, Kien Do, Dung Nguyen, Sunil Gupta, Svetha Venkatesh
2024	A	`conf`	VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction. ISSTA Thanh-Dat Nguyen, Tung Do-Viet, Hung Nguyen-Duy, Tuan-Hai Luu, Hung Le, Bach Le, Patanamon Thongtanunam
2024	J	`jnl`	VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction. CoRR Thanh-Dat Nguyen, Tung Do-Viet, Hung Nguyen-Duy, Tuan-Hai Luu, Hung Le, Bach Le, Patanamon Thongtanunam
2024	—	`conf`	Variable-Agnostic Causal Exploration for Reinforcement Learning. ECML/PKDD (2) Minh Hoang Nguyen, Hung Le, Svetha Venkatesh
2024	J	`jnl`	Variable-Agnostic Causal Exploration for Reinforcement Learning. CoRR Minh Hoang Nguyen, Hung Le, Svetha Venkatesh
2024	J	`jnl`	Variational Flow Models: Flowing in Your Style. CoRR Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
2023	J	`jnl`	BO-Muse: A human expert and AI teaming framework for accelerated experimental design. CoRR Sunil Gupta, Alistair Shilton, Arun Kumar A. V., Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh
2023	J	`jnl`	Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. Artif. Intell. Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2023	C	`conf`	Domain Generalization with Interpolation Robustness. ACML Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta
2023	A*	`conf`	Improving Out-of-distribution Generalization with Indirection Representations. ICLR Kha Pham, Hung Le, Man Ngo, Truyen Tran
2023	J	`jnl`	Intrinsic Motivation via Surprise Memory. CoRR Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
2023	J	`jnl`	LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying. CoRR Thommen George Karimpanal, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2023	A*	`conf`	Memory-Augmented Theory of Mind Network. AAAI Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Memory-Augmented Theory of Mind Network. CoRR Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	A*	`conf`	Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Universal Graph Continual Learning. CoRR Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le
2023	J	`jnl`	Universal Graph Continual Learning. Trans. Mach. Learn. Res. Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le
2023	J	`jnl`	When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust. CoRR Minh-Tien Nguyen, Duy-Hung Nguyen, Shahab Sabahi, Hung Le, Jeff Yang, Hajime Hotta
2022	A*	`conf`	Episodic Policy Gradient Training. AAAI Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh
2022	A*	`conf`	Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. NeurIPS Kha Pham, Hung Le, Man Ngo, Truyen Tran
2022	J	`jnl`	Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. CoRR Kha Pham, Hung Le, Man Ngo, Truyen Tran
2022	A*	`conf`	Generative Pseudo-Inverse Memory. ICLR Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh
2022	—	`conf`	HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. ICONIP (7) Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh D. Nguyen, Hung Le
2022	J	`jnl`	HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. CoRR Bao-Sinh Nguyen, Quang-Bach Tran, Tuan Anh Nguyen Dang, Duc Nguyen, Hung Le
2022	—	`conf`	Improving Document Image Understanding with Reinforcement Finetuning. ICONIP (7) Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, Hung Le
2022	J	`jnl`	Improving Document Image Understanding with Reinforcement Finetuning. CoRR Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, Hung Le
2022	A	`conf`	Learning Theory of Mind via Dynamic Traits Attribution. AAMAS Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Learning Theory of Mind via Dynamic Traits Attribution. CoRR Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	A*	`conf`	Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2022	J	`jnl`	Learning to Generate Questions by Enhancing Text Generation with Sentence Selection. CoRR Do Hoang Thai Duong, Nguyen Hong Son, Hung Le, Minh-Tien Nguyen
2022	—	`conf`	Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback. NAACL-HLT (Findings) Duy-Hung Nguyen, Nguyen-Viet-Dung Nghiem, Bao-Sinh Nguyen, Dung Tien Le, Shahab Sabahi, Minh-Tien Nguyen, Hung Le
2022	J	`jnl`	Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback. CoRR Duy-Hung Nguyen, Nguyen-Viet-Dung Nghiem, Bao-Sinh Nguyen, Dung Tien Le, Shahab Sabahi, Minh-Tien Nguyen, Hung Le
2022	J	`jnl`	Memory-Constrained Policy Optimization. CoRR Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2022	A*	`conf`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	J	`jnl`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	A*	`conf`	Neurocoder: General-Purpose Computation Using Stored Neural Programs. ICML Hung Le, Svetha Venkatesh
2022	—	`conf`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2022	J	`jnl`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2021	A*	`conf`	A New Representation of Successor Features for Transfer across Dissimilar Environments. ICML Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	A New Representation of Successor Features for Transfer across Dissimilar Environments. CoRR Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets. CoRR Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2021	A	`conf`	DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta
2021	J	`jnl`	Episodic Policy Gradient Training. CoRR Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh
2021	A*	`conf`	From Deep Learning to Deep Reasoning. KDD Truyen Tran, Vuong Le, Hung Le, Thao Minh Le
2021	A*	`conf`	Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Plug and Play, Model-Based Reinforcement Learning. CoRR Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	—	`conf`	Robust Deep Reinforcement Learning for Extractive Legal Summarization. ICONIP (6) Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen-Viet-Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le
2021	J	`jnl`	Robust Deep Reinforcement Learning for Extractive Legal Summarization. CoRR Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen-Viet-Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le
2020	B	`conf`	LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition. ICPR Huu-Tin Hoang, Chun-Jen Peng, Hung Vinh Tran, Hung Le, Huy Hoang Nguyen
2020	A*	`conf`	Neural Stored-program Memory. ICLR Hung Le, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs. CoRR Hung Le, Svetha Venkatesh
2020	A*	`conf`	Self-Attentive Associative Memory. ICML Hung Le, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Self-Attentive Associative Memory. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory. CoRR Duc Nguyen, Nhan Tran, Hung Le
2019	—	`conf`	Learning to Remember More with Less Memorization. ICLR Hung Le, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Learning to Remember More with Less Memorization. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Neural Stored-program Memory. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2018	—	`conf`	Dual Control Memory Augmented Neural Networks for Treatment Recommendations. PAKDD (3) Hung Le, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Dual Control Memory Augmented Neural Networks for Treatment Recommendations. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2018	A*	`conf`	Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. KDD Hung Le, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta
2018	A*	`conf`	Variational Memory Encoder-Decoder. NeurIPS Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2018	J	`jnl`	Variational Memory Encoder-Decoder. CoRR Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh