Improving chemical-induced disease relation extraction with learned features based on convolutional neural network. - Hoang-Quynh Le; Duy-Cat Can; Thanh Hai Dang; Mai-Vu Tran; Quang-Thuy Ha; Nigel Collier (KSE, 2017)

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 (EMNLP, 2018)

A Hybrid Deep Learning Architecture for Sentence Unit Detection. - Duy-Cat Can; Thi-Nga Ho; Eng Siong Chng (IALP, 2018)

An Investigation of Word Embeddings with Deep Bidirectional LSTM for Sentence Unit Detection in Automatic Speech Transcription. - Thi-Nga Ho; Duy-Cat Can; Engsiong Chng (IALP, 2018)

Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path. - Duy-Cat Can; Hoang-Quynh Le; Quang-Thuy Ha (ACIIDS (1), 2019)

QASA: Advanced Document Retriever for Open-Domain Question Answering by Learning to Rank Question-Aware Self-Attentive Document Representations. - Trang M. Nguyen; Van-Lien Tran; Duy-Cat Can; Quang-Thuy Ha; Ly T. Vu; Engsiong Chng (ICMLSC, 2019)

A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction. - Duy-Cat Can; Hoang-Quynh Le; Quang-Thuy Ha; Nigel Collier (NAACL-HLT (1), 2019)

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 (ACIIDS, 2021)

UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model. - Duy-Cat Can; Vo Nguyen Quoc Bao; Quoc-Hung Duong; Minh-Quang Nguyen; Huy-Son Nguyen; Linh Nguyen Tran Ngoc; Quang-Thuy Ha; Mai-Vu Tran (BioNLP@NAACL-HLT, 2021)

THANOS: The Aspect Classification Model for Imbalanced Vietnamese E-commerce Review Data. - Minh-Son Cong; Tuan-Minh Dam; Anh-My Phuong; Thi-Quyen Nguyen; Duy-Cat Can; Hoang-Quynh Le; Long Hoang; Mai-Vu Tran (IALP, 2021)

Aspect-Based Sentiment Analysis Using Mini-Window Locating Attention for Vietnamese E-commerce Reviews. - Binh Le-Minh; Thi-Phuong Le; Khanh-Hung Tran; Khanh-Huyen Bui; Hoang-Quynh Le; Duy-Cat Can; Hung Nguyen Chung Thanh; Mai-Vu Tran (KSE, 2021)

A Hybrid Multi-answer Summarization Model for the Biomedical Question-Answering System. - Quoc-An Nguyen; Quoc-Hung Duong; Minh-Quang Nguyen; Huy-Son Nguyen; Hoang-Quynh Le; Duy-Cat Can; Tam Doan Thanh; Mai-Vu Tran (KSE, 2021)

Models Distillation with Lifelong Deep Learning for Vietnamese Biomedical Named Entity Recognition. - Thi-Cham Nguyen; Hoang-Quynh Le; Duy-Cat Can; Quang-Thuy Ha (KSE, 2021)

Attention-Based Deep Learning Model for Aspect Classification on Vietnamese E-commerce Data. - Ngoc-Tu Nguyen 004; Trong-Dat Nguyen; Duy-Cat Can; Mai-Vu Tran; Ha Luu Manh; Hoang-Quynh Le (KSE, 2021)

Exploiting document graphs for inter sentence relation extraction. - Hoang-Quynh Le; Duy-Cat Can; Nigel Collier (J. Biomed. Semant., 2022)

VLSP 2022 Abmusu Task Dataset: A Resource for Vietnamese Abstractive Multi-Document Summarization. - Quoc-An Nguyen; Duy-Cat Can; Hoang-Quynh Le; Mai-Vu Tran (Int. J. Asian Lang. Process., 2022)

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 (ACIIDS (2), 2023)

UETCorn at MEDIQA-Sum 2023: Template-based Summarization for Clinical Note Generation from Doctor-Patient Conversation. - Duy-Cat Can; Quoc-An Nguyen; Binh-Nguyen Nguyen; Minh-Quang Nguyen; Khanh-Vinh Nguyen; Trung-Hieu Do; Hoang-Quynh Le (CLEF (Working Notes), 2023)

Contrastive Hierarchical Discourse Graph for Vietnamese Extractive Multi-Document Summarization. - Tu-Phuong Mai; Quoc-An Nguyen; Duy-Cat Can; Hoang-Quynh Le (IALP, 2023)

Enhancing Aspect-Based Sentiment Analysis with Contextualized Window Attention Mechanism. - Hoang-Ha Do; Xuan-Hieu Pham; Duc-Hiep Nguyen; Quoc-An Nguyen; Duy-Cat Can; Hoang-Quynh Le (KSE, 2023)

HHMC: A Heterogeneous x Homogeneous Graph-Based Network for Multimodal Cross-Selling Recommendation. - Huy-Son Nguyen; Tuan-Nghia Bui; Long-Hai Nguyen; Duy-Cat Can; Cam-Van Thi Nguyen; Duc-Trong Le; Hoang-Quynh Le (KSE, 2023)

Enhancing Clinical Note Generation from Doctor-Patient Conversations through Semantic Partition-Oriented Summarization. - Binh-Nguyen Nguyen; Hoang-Quynh Le; Duy-Cat Can (KSE, 2023)

FOREcaST: Improving Extreme Weather Forecasts with Deep Neural Decision Forest for Climate Change Adaptation. - Khanh-Vinh Nguyen; Quoc-An Nguyen; Hoang-Quynh Le; Duy-Cat Can (KSE, 2023)

Overview of the VLSP 2022 - Abmusu Shared Task: A Data Challenge for Vietnamese Abstractive Multi-document Summarization. - Mai-Vu Tran; Hoang-Quynh Le; Duy-Cat Can; Quoc-An Nguyen (CoRR, 2023)

Zero-cost Transition to Multi-document Processing in Summarization with Multi-Channel Attention. - Minh-Quang Nguyen; Duy-Cat Can; Hoang-Quynh Le (ECML/PKDD (5), 2024)

Overview of the VLSP 2023 - ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews. - Hoang-Quynh Le; Duy-Cat Can; Khanh-Vinh Nguyen; Mai-Vu Tran (CoRR, 2024)

Toward Effective Comparative Opinion Mining: A Novel Vietnamese Product Review Corpus and Benchmark Approach. - Duy-Cat Can; Khanh-Vinh Nguyen; Hung-Manh Hoang; Duc-Loc Vu; Mai-Vu Tran; Hoang-Quynh Le (IEEE Access, 2025)

A multifaceted approach to drug-drug interaction extraction with fusion strategies. - Ba-Hoang Tran; Hung-Manh Hoang; Binh-Nguyen Nguyen; Duy-Cat Can; Hoang-Quynh Le (J. Biomed. Informatics, 2025)

VCOM. - Duy-Cat Can; Hoang-Quynh Le (IEEE DataPort, 2025)

VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis. - Duy-Cat Can; Linh D. Dang; Quang-Huy Tang; Dang Minh Ly; Huong Ha 002; Guillaume Blanc; Oliver Y. Chén; Binh T. Nguyen 001 (CoRR, 2025)

OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values. - Christelle Schneuwly Diaz; Duy-Thanh Vu; Julien Bodelet; Duy-Cat Can; Guillaume Blanc; Haiting Jiang; Lin Yao; Guiseppe Pantaleo; Adni; Oliver Y. Chén (CoRR, 2025)

Explainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction. - Narmina Baghirova; Duy-Thanh Vu; Duy-Cat Can; Christelle Schneuwly Diaz; Julien Bodelet; Guillaume Blanc; Georgi Hrusanov; Bernard Ries; Oliver Y. Chén (CoRR, 2025)

REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis. - Duy-Cat Can; Quang-Huy Tang; Huong Ha 002; Binh T. Nguyen 001; Oliver Y. Chén (CoRR, 2025)

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions. - Tung-Lam Ngo; Ba-Hoang Tran; Duy-Cat Can; Trung-Hieu Do; Oliver Y. Chén; Hoang-Quynh Le (CoRR, 2025)