Dung D. Le - RankMe

50 papers A* 9A 4Misc 1Journal 29Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders. CoRR Minh-Duc Nguyen, Hai-Dang Kieu, Dung D. Le
2026	J	`jnl`	Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression. CoRR Minh-Duong Nguyen, Senura Hansaja, Le-Tuan Nguyen, Quoc-Viet Pham, Ken-Tye Yong, Nguyen H. Tran, Dung D. Le
2026	—	`conf`	PromptHG: Prompt-Enhanced Heterogeneous Graph for Personalized News Recommendation. ECIR (1) Hai-Dang Kieu, Delvin Ce Zhang, Minh-Duc Nguyen, Qiang Wu, Min Xu, Dung D. Le
2026	J	`jnl`	Prototypical Exemplar Condensation for Memory-efficient Online Continual Learning. CoRR Minh-Duong Nguyen, Thien-Thanh Dao, Le-Tuan Nguyen, Dung D. Le, Kok-Seng Wong
2026	J	`jnl`	ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark. CoRR Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen, Duy Mai Hoang, Chien Dinh Huynh, Inigo Jauregi Unanue, Massimo Piccardi, Wray L. Buntine, Dung D. Le
2025	J	`jnl`	A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks. CoRR Minh-Duc Nguyen, Dung D. Le
2025	J	`jnl`	Communication-Efficient and Accurate Approach for Aggregation in Federated Low-Rank Adaptation. CoRR Le-Tuan Nguyen, Minh-Duong Nguyen, Seon-Geun Jeong, Dung D. Le, Quoc-Viet Pham
2025	—	`conf`	Designing Search Space for Unbounded Bayesian Optimization via Transfer Learning. ECML/PKDD (5) Quoc Anh Hoang Nguyen, Hung The Tran, Sunil Gupta, Dung D. Le
2025	J	`jnl`	Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation. CoRR Minh-Anh Nguyen, Bao Nguyen, Ha Lan N. T., Tuan-Anh Hoang, Duc-Trong Le, Dung D. Le
2025	J	`jnl`	Enhancing Multimodal Recommendations with Vision-Language Models and Information-Aware Fusion. CoRR Hai-Dang Kieu, Min Xu, Thanh Trung Huynh, Dung D. Le
2025	—	`conf`	Enhancing News Recommendation with Hierarchical LLM Prompting. WWW (Companion Volume) Hai-Dang Kieu, Delvin Ce Zhang, Minh Duc Nguyen, Min Xu, Qiang Wu, Dung D. Le
2025	J	`jnl`	Enhancing News Recommendation with Hierarchical LLM Prompting. CoRR Hai-Dang Kieu, Delvin Ce Zhang, Minh Duc Nguyen, Min Xu, Qiang Wu, Dung D. Le
2025	A*	`conf`	Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks. AAAI Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen, Long P. Hoang, Dung D. Le
2025	J	`jnl`	JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture. CoRR Minh-Anh Nguyen, Dung D. Le
2025	—	`conf`	Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations. WWW (Companion Volume) Hai-Dang Kieu, Minh-Duc Nguyen, Thanh-Son Nguyen, Dung D. Le
2025	J	`jnl`	MulCLIP: A Multi-level Alignment Framework for Enhancing Fine-grained Long-context CLIP. CoRR Chau Truong, Hieu Ta Quang, Dung D. Le
2025	J	`jnl`	Optimizing Electric Vehicle Charging Station Placement Using Reinforcement Learning and Agent-Based Simulations. CoRR Minh-Duc Nguyen, Dung D. Le, Phi Long Nguyen
2025	J	`jnl`	Provably Improving Generalization of Few-Shot Models with Synthetic Data. CoRR Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh, Dung D. Le, Long Tran-Thanh, Khoat Than
2025	A*	`conf`	Provably Improving Generalization of Few-shot models with Synthetic Data. ICML Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh, Dung D. Le, Long Tran-Thanh, Khoat Than
2025	J	`jnl`	Robustness Evaluation of OCR-based Visual Document Understanding under Multi-Modal Adversarial Attacks. CoRR Dong Nguyen Tien, Dung D. Le
2025	J	`jnl`	SurveyG: A Multi-Agent LLM Framework with Hierarchical Citation Graph for Automated Survey Generation. CoRR Minh-Anh Nguye, Minh-Duc Nguyen, Ha Lan N. T., Hai-Dang Kieu, Nguyen Tien Dong, Dung D. Le
2024	—	`conf`	A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models. ACL (Findings) Cuong Dang, Dung D. Le, Thai Le
2024	J	`jnl`	A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models. CoRR Cuong Dang, Dung D. Le, Thai Le
2024	J	`jnl`	A framework for controllable Pareto front learning with completed scalarization functions and its applications. Neural Networks Tran Anh Tuan, Long Phi Hoang, Dung D. Le, Tran Ngoc Thang
2024	A*	`conf`	Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation. SIGIR Huy Dao, Yang Deng, Dung D. Le, Lizi Liao
2024	—	`conf`	Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues. EMNLP (Findings) Huy Dao, Yang Deng, Khanh-Huyen Bui, Dung D. Le, Lizi Liao
2024	J	`jnl`	Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks. CoRR Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen, Long P. Hoang, Dung D. Le
2024	—	`conf`	Improving Vietnamese-English Medical Machine Translation. LREC/COLING Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine
2024	J	`jnl`	Improving Vietnamese-English Medical Machine Translation. CoRR Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine
2024	J	`jnl`	Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations. CoRR Hai-Dang Kieu, Minh Duc Nguyen, Thanh-Son Nguyen, Dung D. Le
2024	J	`jnl`	Towards Efficient Communication Federated Recommendation System via Low-rank Training. CoRR Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong
2024	A*	`conf`	Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training. WWW Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong
2024	J	`jnl`	Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings. CoRR Phuong Dinh Mai, Duc-Trong Le, Tuan-Anh Hoang, Dung D. Le
2024	J	`jnl`	Zero-shot Object-Level OOD Detection with Context-Aware Inpainting. CoRR Quang-Huy Nguyen, Jin Peng Zhou, Zhenzhen Liu, Khanh-Huyen Bui, Kilian Q. Weinberger, Dung D. Le
2023	Misc	`conf`	A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys. ICASSP Tan M. Nguyen, Tam Nguyen, Long Bui, Hai Do, Duy Khuong Nguyen, Dung D. Le, Hung Tran-The, Nhat Ho, Stanley J. Osher, Richard G. Baraniuk
2023	J	`jnl`	Controllable Expensive Multi-objective Optimization with Warm-starting Gaussian Processes. CoRR Quang-Huy Nguyen, Long P. Hoang, Hoang V. Viet, Dung D. Le
2023	J	`jnl`	Enhancing Few-Shot Image Classification With Cosine Transformer. IEEE Access Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, Hieu H. Pham
2023	J	`jnl`	Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold. CoRR Tuc Nguyen-Van, Dung D. Le, The-Anh Ta
2023	J	`jnl`	Improving Items and Contexts Understanding with Descriptive Graph for Conversational Recommendation. CoRR Huy Dao, Dung D. Le, Cuong Chu
2023	A*	`conf`	Improving Pareto Front Learning via Multi-Sample Hypernetworks. AAAI Long P. Hoang, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang
2023	A*	`conf`	Reinforced Target-driven Conversational Promotion. EMNLP Huy Dao, Lizi Liao, Dung D. Le, Yuxiang Nie
2022	A	`conf`	Collaborative Curating for Discovery and Expansion of Visual Clusters. WSDM Dung D. Le, Hady W. Lauw
2022	J	`jnl`	Enhancing Few-shot Image Classification with Cosine Transformer. CoRR Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, Hieu H. Pham, Minh N. Do
2022	A*	`conf`	Improving Transformers with Probabilistic Attention Keys. ICML Tam Minh Nguyen, Tan Minh Nguyen, Dung D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher
2021	J	`jnl`	Efficient Retrieval of Matrix Factorization-Based Top-k Recommendations: A Survey of Recent Approaches. J. Artif. Intell. Res. Dung D. Le, Hady Wirawan Lauw
2020	A*	`conf`	Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval. AAAI Dung D. Le, Hady W. Lauw
2019	A*	`conf`	Learning Multiple Maps from Conditional Ordinal Triplets. IJCAI Dung D. Le, Hady W. Lauw
2018	A	`conf`	Multiperspective Graph-Theoretic Similarity Measure. CIKM Dung D. Le, Hady W. Lauw
2017	A	`conf`	Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation. CIKM Dung D. Le, Hady W. Lauw
2016	A	`conf`	Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization. SDM Dung D. Le, Hady Wirawan Lauw