Hoang-Quynh Le

1. Quoc-Viet-Anh Tran, Gia-Bao Duong, Huu-Huy-Hoang Tran, Thi-Hai-Yen Vuong, Hoang-Quynh Le (2026). I-NOWJ: Adaptive Context Selection and Knowledge-guided Learning for Substance Use Named Entity Recognition. Database, 2016, baag056. doi: 10.1093/database/baag056
2. Tran-Ngoc-Linh Nguyen, Anh-Dung Hoang, Manh-Cuong Tran, Minh-Thanh Vu, Xuan-Bach Nguyen, Hoang-Quynh Le, Thi-Hai-Yen Vuong, Xuan-Hieu Phan, Mai-Vu Tran (2026). Improving Retrieval-Augmented Generation for Scalable Movie Chatbots via Graph-Based Recommendation Models. IEEE Access, vol. 14, pp. 135368-135384, 2026. doi: 10.1109/access.2026.3729218
3. Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Masoud Mansoury, Duc-Trong Le, and Hoang-Quynh Le (2026). From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems. In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 3017–3027. Association for Computing Machinery, New York, NY, USA. doi: 10.1145/3805712.3808574.
4. Minh-Hien Nguyen, Khanh Huyen Nguyen, Tan-Minh Nguyen, Hoang-Quynh Le, and Thi-Hai-Yen Vuong ( 2026). ViCSR: A Large-scale Benchmark and Lightweight Two-Stage Framework for Vietnamese Case-to-Statute Retrieval. In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 5301–5303. Association for Computing Machinery, New York, NY, USA. doi: 10.1145/3805712.3808526.
5. Xuan-Hung Le, Thi Toan Do, and Hoang-Quynh Le (2026). Graph-Enhanced Sentence Retrieval for Multi-Document Summarization in Low-Resource Languages. In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 5281–5284. Association for Computing Machinery, New York, NY, USA. doi: 10.1145/3805712.3808523.
6. Tu-Phuong Mai, Minh-Ha Le H., Duc-Luong Tran, Phuong-Anh Chu, Duy-Cat Can, Hoang-Quynh Le (2026). HOPE: Hybrid Optimized Parallel Encoding with Supervised and Unsupervised Semantic Fusion for Depression Symptom Detection. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers, pp. 2898-2911. Association for Computational Linguistics. doi: 10.18653/v1/2026.acl-long.132
7. Duc-Luong Tran, Phuong-Anh Chu, Hoang-Dat Do, Tu-Phuong Mai, Duy-Cat Can, and Hoang-Quynh Le (2026). DAL Team at PsyDefDetect: From Supervised Encoders to Hierarchical LLM-RAG for Psychological Defense Detection. In Proceedings of the BioNLP 2026 (Shared Tasks), pp. 164–170. Association for Computational Linguistics. doi:10.18653/v1/2026.bionlp-2.23
8. Xuan-Hieu Pham, Minh-Tuan Vu, Mai-Vu Tran, Hoang-Quynh Le (2026). Constructing a Silver Corpus for Weakly Supervised Vietnamese Event Extraction using Cross-Document N-ary Relation Filtering. In Proceedings of the 9th Workshop on Event Extraction and Understanding: Challenges and Applications, pp. 26–37. Association for Computational Linguistic. doi: 10.18653/v1/2026.eeuca-1.4
9. Tu-Phuong Mai, Duy-Cat Can, Hoang-Quynh Le (2026). SEEDS: Curriculum-Driven Adaptive Regression Contrastive Learning for Robust Evidence-based Depression Severity Classification. In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 404-416. Lecture Notes in Computer Science, vol 16597. Springer, Singapore. doi: 10.1007/978-981-92-1300-9_32
10. Minh-Chau Le. Tram Truong Huu, Hoang-Quynh Le, Duc-Trong Le (2026). FedCKD: A Knowledge Distillation Approach to Cross-client Learning in Federated Learning with Label-exclusive Datasets. In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 367-379. Lecture Notes in Computer Science, vol 16597. Springer, Singapore. doi: 10.1007/978-981-92-1462-4_29
11. Ha-Anh Hoang Nguyen, Tri-Duc Phan Le, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Duc-Trong Le, Hoang-Quynh Le (2026). Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction. In Proceedings of the European Conference on Information Retrieval, pp. 369-383. Advances in Information Retrieval, Lecture Notes in Computer Science, vol 16485. Springer, Cham. doi: 10.1007/978-3-032-21324-2_29
12. Tu-Phuong Mai, Minh-Ha H. Le, Duc-Luong Tran, Duy-Cat Can and Hoang-Quynh Le (2025). UET@ eRisk2025: Severity Estimation for Depression Symptoms Searching and Early Risk Detection. In Working Notes of the Conference and Labs of the Evaluation Forum (CLEF), pp. 1550-1561. url: https://ceur-ws.org/Vol-4038/paper_125.pdf
13. Thi-Hai-Yen Vuong, Tan-Minh Nguyen, Hoang-Trung Nguyen, Trong-Khoi Dao, Ha-Thanh Nguyen, Hoang-Quynh Le (2025). DRILL Shared Task 2025: The Challenge of Deep Retrieval in the Expansive Legal Landscape. In Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing (VLSP), pp. 113-119. Association for Computational Linguistics. url: https://aclanthology.org/2025.vlsp-1.16/
14. Van-Khang Nguyen, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le, Duc-Trong Le (2025). Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM), pp. 5053-5057. Association for Computing Machinery, New York, NY, USA. doi: 10.1145/3746252.3760837
15. Quoc-An Nguyen, Xuan-Hung Le, Thi-Minh-Thu Vu and Hoang-Quynh Le (2025). Beyond the Scientific Document: A Citation-Aware Multi-Granular Summarization Approach with Heterogeneous Graphs. In Findings of the Association for Computational Linguistics (EMNLP), pp. 5034-5046. Association for Computational Linguistics. doi: 10.18653/v1/2025.findings-emnlp.269
16. Long-Hai Nguyen, Huy-Son Nguyen, Cam-Van Thi Nguyen, Duc-Trong Le, Atsuhiro Takasu, Hoang-Quynh Le. Dual-Enhanced Item Representation for Bundle Construction via Category-Wise and Cross-Modality Learning. In Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP), pp. 272–280. Association for Computing Machinery, New York, NY, USA. doi: 10.1145/3767695.3769501
17. Tung-Lam Ngo, Ba-Hoang Tran, Duy-Cat Can, Trung-Hieu Do, Oliver Y. Chen and Hoang-Quynh Le (2025). MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions. In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), pp. 13243-13249. Association for Computing Machinery, New York, NY, USA. doi: 10.1145/3746027.3758281
18. Xuan-Bach Nguyen and Hoang-Quynh Le (2025). A Graph-based Deep Learning Model with Multimodal Fusion for Vietnamese Recommendation Systems.The Review of Socionetwork Strategies 19, no. 2 (2025): 163-182. doi: 10.1007/s12626-025-00186-6
19. Tuan-Nghia Bui, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le and Duc-Trong Le (2025). BRIDGE: Bundle Recommendation via Instruction-Driven Generation. In Proceedings of the 28th European Conference on Artificial Intelligence (ECAI), pp. 2219-2226. SAGE Publications. doi: 10.3233/FAIA251063
20. Huy-Son Nguyen, Quang-Huy Nguyen, Duc-Hoang Pham, Duc-Trong Le, Hoang-Quynh Le, Padipat Sitkrongwong, Atsuhiro Takasu and Masoud Mansoury (2025). RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction. In Proceedings of the 28th European Conference on Artificial Intelligence (ECAI), pp. 1889-1896. SAGE Publications. doi: 10.3233/FAIA251022
21. Ba-Hoang Tran, Hung-Manh Hoang, Binh-Nguyen Nguyen, Duy-Cat Can, Hoang-Quynh Le (2025). A multifaceted approach to drug-drug interaction extraction with fusion strategies. Journal of biomedical informatics, 2025, 104874. doi: 10.1016/j.jbi.2025.104874
22. Duy-Cat Can, Khanh-Vinh Nguyen, Hung-Manh Hoang, Duc-Loc Vu, Mai-Vu Tran, Hoang-Quynh Le (2025). Toward Effective Comparative Opinion Mining: A Novel Vietnamese Product Review Corpus and Benchmark Approach. IEEE Access, vol. 13, pp. 82111-82128, 2025. doi: 10.1109/ACCESS.2025.3567845
23. Tuan-Nghia Bui, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le, and Duc-Trong Le (2025). Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation. In Companion Proceedings of the ACM on Web Conference 2025 (WWW), pp. 3088–3091. Association for Computing Machinery, New York, NY, USA. doi: 10.1145/3701716.3735081
24. Quoc-An Nguyen, Xuan-Hung Le, Thi-Minh-Thu Vu, and Hoang-Quynh Le (2025). CiteArXiv: A Citation-enriched Dataset and Heterogeneous Graph-based Model for Scientific Articles Summarization. In Companion Proceedings of the ACM on Web Conference 2025 (WWW), pp. 3084–3087. Association for Computing Machinery, New York, NY, USA. doi: 10.1145/3701716.3735083
25. Hung-Manh Hoang, Duc-Loc Vu, Huong Nguyen-Thi-Thuy, Duy-Cat Can and Hoang-Quynh Le (2024). Contrastive Summarization of User Reviews: An Aspect-based Abstractive Approach. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation (PACLIC), pp. 488-496. Association for Computational Linguistics. url: https://aclanthology.org/2024.paclic-1.48/
26. Hoang-Quynh Le and Duy-Cat Can (2024). MERE: A Deep Learning Architecture Using Multi-Fragment Ensemble for Relation Extraction. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation (PACLIC), pp. 267–276. Association for Computational Linguistics. url: https://aclanthology.org/2024.paclic-1.26/
27. Binh-Nguyen Nguyen, Ba-Hoang Tran, Duy-Cat Can, Trung-Hieu Do and Hoang-Quynh Le (2025). Improving Drug-Drug Interaction Extraction from Biomedical Literature using Deep Multimodal Fusion. In Proceedings of International Conference on the Development of Biomedical Engineering in Vietnam, pp. 518-535. FMBE Proceedings, vol 122. Springer, Cham. doi: 10.1007/978-3-031-90194-2_36
28. Tran-Gia-Bao Nguyen, Minh-Chau Le, Van-Khang Nguyen, Huy-Son Nguyen, Thi-Cam-Van Nguyen, Duc-Trong Le, Duy-Cat Can and Hoang-Quynh Le (2025). Towards Explainable Polypharmacy Risk Warnings using Reinforcement Learning on Knowledge Graphs. In Proceedings of International Conference on the Development of Biomedical Engineering in Vietnam, pp. 582-600. FMBE Proceedings, vol 122. Springer, Cham. doi: 10.1007/978-3-031-90194-2_41
29. Minh-Quang Nguyen, Duy-Cat Can and Hoang-Quynh Le (2024). Zero-cost Transition to Multi-document Processing in Summarization with Multi-Channel Attention. In Proceedings of Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), pp. 406-422. Machine Learning and Knowledge Discovery in Databases, Research Track, Lecture Notes in Computer Science, vol 14945. Springer, Cham. doi: 10.1007/978-3-031-70362-1_24
30. Huy-Son Nguyen, Tuan-Nghia Bui, Long-Hai Nguyen, Hoang Manh-Hung, Cam-Van Thi Nguyen, Hoang-Quynh Le, Duc-Trong Le (2024). Bundle Recommendation with Item-Level Causation-Enhanced Multi-view Learning. In Proceedings of Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), pp. 324-341. doi: 10.1007/978-3-031-70371-3_19
31. Quoc-An Nguyen, Duy-Cat Can, Hoang-Quynh Le and Mai-Vu Tran (2022). VLSP 2022 Abmusu task dataset: a resource for Vietnamese abstractive multi-document summarization. International Journal of Asian Language Processing 32, no. 02n03 (2022): 2350003. doi: 10.1142/S2717554523500030
32. Hoang-Quynh Le, Duy-Cat Can and Nigel Collier (2022). Exploiting document graphs for inter sentence relation extraction. Journal of Biomedical Semantics, 13, no. 1 (2022): 15. doi: 10.1186/s13326-022-00267-3
33. Duy-Cat Can, Hoang-Quynh Le, Quang-Thuy Ha (2021). Detection of distributed denial of service attacks using automatic feature selection with enhancement for imbalance dataset. In Proceedings of Asian Conference on Intelligent Information and Database Systems (ACIIDS), pp. 386-398. Lecture Notes in Computer Science(), vol 12672. Springer, Cham. doi: 10.1007/978-3-030-73280-6_31
34. Hoang-Quynh Le, Quoc-An Nguyen, Quoc-Hung Duong, Minh-Quang Nguyen, Huy-Son Nguyen, Tam Doan Thanh, Hai-Yen Thi Vuong, and Trang M. Nguyen (2021). UETfishes at MEDIQA 2021: Standing-on-the-Shoulders-of-Giants Model for Abstractive Multi-answer Summarization. In Proceedings of the 20th SIGBioMed Workshop on Biomedical Language Processing, pp. 328-335. Association for Computational Linguistics. doi: 10.18653/v1/2021.bionlp-1.38
35. Mai-Vu Tran, Hoang-Quynh Le, Duy-Cat Can, Huyen Nguyen, Linh Nguyen Tran Ngoc and Tam Doan Thanh (2020). Overview of VLSP RelEx shared task: A Data Challenge for Semantic Relation Extraction from Vietnamese News. In Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing, pp. 92-98. Association for Computational Linguistics. url: https://aclanthology.org/2020.vlsp-1.17/
36. Duy-Cat Can, Hoang-Quynh Le, Quang-Thuy Ha and Nigel Collier (2019). A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 2902-2912. Association for Computational Linguistics. doi: 10.18653/v1/N19-1298
37. Hoang-Quynh Le, Duy-Cat Can, Sinh T. Vu, Thanh Hai Dang, Mohammad Taher Pilehvar and Nigel Collier (2018). Large-scale Exploration of Neural Relation Classification Architectures. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 2266-2277. Association for Computational Linguistics. doi: 10.18653/v1/D18-1250
38. Thanh Hai Dang, Hoang-Quynh Le, Trang M. Nguyen, Sinh T. Vu (2018). D3NER: Biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information. Bioinformatics, Volume 34, Issue 20, pp. 3539–3546. doi: 10.1093/bioinformatics/bty356
39. Hoang-Quynh Le, Mai-Vu Tran, Thanh Hai Dang, Quang-Thuy Ha and Nigel Collier (2016). Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction. Database, Volume 2016, 2016, baw102. doi: 10.1093/database/baw102
40. Mai-Vu Tran, Nigel Collier, Hoang-Quynh Le, Van-Thuy Phi and Thanh-Binh Pham (2013). Exploring a Probabilistic Earley Parser for Event Composition in Biomedical Texts. In Proceedings of the BioNLP Shared Task 2013 Workshop, pp. 130-134. Association for Computational Linguistics. url: https://aclanthology.org/W13-2019/
41. Nigel Collier, Mai-Vu Tran, Hoang-Quynh Le, Quang-Thuy Ha, Anika Oellrich and Dietrich Rebholz-Schuhmann (2013). Learning to recognize phenotype candidates in the auto-immune literature using SVM re-ranking. PloS one, 8(10), e72965. doi: 10.1371/journal.pone.0072965
42. Nigel Collier, Mai-Vu Tran, Hoang-Quynh Le, Anika Oellrich, Ai Kawazoe, Martin Hall-May and Dietrich Rebholz-Schuhmann (2012). A hybrid approach to finding phenotype candidates in genetic texts. In Proceedings of International Conference on Computational Linguistics 2012 (COLING), pp. 647-662. url: https://aclanthology.org/C12-1040/

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