| 2026 | ACL | HOPE: Hybrid Optimized Parallel Encoding with Supervised and Unsupervised Semantic Fusion for Depression Symptom Detection. | Tu-Phuong Mai, Minh-Ha H. Le, Duc-Luong Tran, Phuong-Anh Chu, Duy-Cat Can, Hoang-Quynh Le |
| 2026 | ECIR | Counterfactual Understanding via Retrieval-Aware Multimodal Modeling for Time-to-Event Survival Prediction. | 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 | PAKDD | FedCKD: A Knowledge Distillation Approach to Cross-Client Learning in Federated Learning with Label-Exclusive Datasets. | Minh-Chau Le, Hoang-Quynh Le, Duc-Trong Le, Tram Truong Huu |
| 2026 | PAKDD | SEEDS: Curriculum-Driven Adaptive Regression Contrastive Learning for Robust Evidence-Based Depression Severity Classification. | Tu-Phuong Mai, Duy-Cat Can, Hoang-Quynh Le |
| 2026 | SIGIR | Graph-Enhanced Sentence Retrieval for Multi-Document Summarization in Low-Resource Languages. | Xuan-Hung Le, Thi Toan Do, Hoang-Quynh Le |
| 2026 | SIGIR | ViCSR: A Large-scale Benchmark and Lightweight Two-Stage Framework for Vietnamese Case-to-Statute Retrieval. | Minh-Hien Nguyen, Khanh-Huyen Nguyen, Tan-Minh Nguyen, Hoang-Quynh Le, Thi-Hai-Yen Vuong |
| 2026 | SIGIR | From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems. | Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Masoud Mansoury, Duc-Trong Le, Hoang-Quynh Le |
| 2025 | CIKM | Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation. | Van-Khang Nguyen, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le, Duc-Trong Le |
| 2025 | ECAI | BRIDGE: Bundle Recommendation via Instruction-Driven Generation. | Tuan-Nghia Bui, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le, Duc-Trong Le |
| 2025 | ECAI | RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction. | Huy-Son Nguyen, Quang-Huy Nguyen, Duc-Hoang Pham, Duc-Trong Le, Hoang-Quynh Le, Padipat Sitkrongwong, Atsuhiro Takasu, Masoud Mansoury |
| 2025 | EMNLP | Beyond the Scientific Document: A Citation-Aware Multi-Granular Summarization Approach with Heterogeneous Graphs. | Quoc-An Nguyen, Xuan-Hung Le, Thi-Minh-Thu Vu, Hoang-Quynh Le |
| 2025 | WWW | Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation. | Tuan-Nghia Bui, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le, Duc-Trong Le |
| 2025 | WWW | CiteArXiv: A Citation-enriched Dataset and Heterogeneous Graph-based Model for Scientific Articles Summarization. | Quoc-An Nguyen, Xuan-Hung Le, Thi-Minh-Thu Vu, Hoang-Quynh Le |
| 2024 | ACIIDS | Enhancing Deepfake Detection Through Innovative Data Augmentation Strategies and Frame-Based Deep Learning Architecture. | Hoang-Viet Nguyen, Thi-Hai-Yen Vuong, Hoang-Quynh Le |
| 2024 | ACIIDS | Continual Learning Based on Task Masking for Multi-domain Recommendation. | Tran-Ngoc-Linh Nguyen, Chi-Dung Vu, Hoang-Ngan Le, Anh-Dung Hoang, Xuan-Hieu Phan, Quang-Thuy Ha, Hoang-Quynh Le, Mai-Vu Tran |
| 2024 | PACLIC | Contrastive Summarization of User Reviews: An Aspect-based Abstractive Approach. | Hung-Manh Hoang, Duc-Loc Vu, Huong Nguyen-Thi-Thuy, Duy-Cat Can, Hoang-Quynh Le |
| 2024 | PACLIC | MERE: A Deep Learning Architecture Using Multi-Fragment Ensemble for Relation Extraction. | Hoang-Quynh Le, Duy-Cat Can |
| 2023 | ACIIDS | Integrating Ontology-Based Knowledge to Improve Biomedical Multi-Document Summarization Model. | Quoc-An Nguyen, Khanh-Vinh Nguyen, Hoang-Quynh Le, Duy-Cat Can, Tam Doan Thanh, Trung-Hieu Do, Mai-Vu Tran |
| 2023 | ACIIDS | GIFT4Rec: An Effective Side Information Fusion Technique Apply to Graph Neural Network for Cold-Start Recommendation. | Tran-Ngoc-Linh Nguyen, Chi-Dung Vu, Hoang-Ngan Le, Anh-Dung Hoang, Xuan Hieu Phan, Quang-Thuy Ha, Hoang-Quynh Le, Mai-Vu Tran |
| 2022 | ACIIDS | EfficientRec: An Unlimited User Scale Recommendation System Based on Clustering and User's Interaction Embedding Profile. | Vu Hong Quan, Le Hoang Ngan, Le Minh Duc, Nguyen Tran Ngoc Linh, Hoang-Quynh Le |
| 2021 | ACIIDS | Detection of Distributed Denial of Service Attacks Using Automatic Feature Selection with Enhancement for Imbalance Dataset. | Duy-Cat Can, Hoang-Quynh Le, Quang-Thuy Ha |
| 2019 | ACIIDS | Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path. | Duy-Cat Can, Hoang-Quynh Le, Quang-Thuy Ha |
| 2019 | NAACL | A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction. | Duy-Cat Can, Hoang-Quynh Le, Quang-Thuy Ha, Nigel Collier |
| 2018 | EMNLP | Large-scale Exploration of Neural Relation Classification Architectures. | Hoang-Quynh Le, Duy-Cat Can, Sinh T. Vu, Thanh Hai Dang, Mohammad Taher Pilehvar, Nigel Collier |
| 2016 | ACIIDS | An Experimental Study on Cholera Modeling in Hanoi. | Ngoc-Anh Thi Le, Thi-Oanh Ngo, Huyen-Trang Thi Lai, Hoang-Quynh Le, Hai-Chau Nguyen, Quang-Thuy Ha |
| 2012 | COLING | A Hybrid Approach to Finding Phenotype Candidates in Genetic Texts. | Nigel Collier, Mai-Vu Tran, Hoang-Quynh Le, Anika Oellrich, Ai Kawazoe, Martin Hall-May, Dietrich Rebholz-Schuhmann |