N. N. H. Dang, T. Q. Thanh, og A. Nguyen-Duc, “BERTVRepair: On the Adoption of CodeBERT for Automated Vulnerability Code Repair”, Generative AI for Effective Software Development, A. Nguyen-Duc, P. Abrahamsson, og F. Khomh, Red., Cham: Springer Nature Switzerland, 2024, s. 173–196. doi: 10.1007/978-3-031-55642-5_8.
Mao Nguyen, Dang Le, Tan Huynh, Minh Phan, Thien Pham, Tho Quan, “Energy-Based Learning for Robust Fake News Detection: A Graph Neural Network Approach with Trainable Cost Function”, Proceedings of The 13th International Conference on Computational Data and Social Networks (CSoNet 2024), Bangkok, Thailand, 2024.
Long S. T. Nguyen, Tho T. Quan, “URAG: Implementing a Unified Hybrid RAG for Precise Answers in University Admission Chatbots – A Case Study at HCMUT”, Proceedings of The 13th International Symposium on Information and Communication Technology (SOICT-2024), Danang, Vietnam, 2024.
Long S. T. Nguyen, Huy G. Nguyen, Bao G. Khuu, Huy A. T. Luu, Huy Q. Le, Tuan T. Nguyen, Tho T. Quan, “RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval”, Proceedings of The 13th International Symposium on Information and Communication Technology (SOICT-2024), Danang, Vietnam, 2024.
Thien Pham, Hung Bui, Mao Nguyen, Trong Le, Vinh Vu, Quang Pham, Tho Quan. “Towards Multiple-View Nested Graph Convolutional Networks for Stable and Robust Lithium-ion Battery Forecasting”, Energy Reports (SCI-E), 2024
Khang H. N. Vo, Duc P. T. Nguyen, Thong T. Nguyen, and Tho T. Quan, “TI-JEPA: An Innovative Energy-based Joint Embedding Strategy for Text-Image Multimodal Systems”, Proceedings of The 13th International Symposium on Information and Communication Technology (SOICT-2024), Danang, Vietnam, 2024.
Nghia Hieu Nguyen, Tho Thanh Quan, Ngan Luu-Thuy Nguyen, “ViConsFormer: Constituting Meaningful Phrases of Scene Texts using Transformer-based Method in Vietnamese Text-based Visual Question Answering”, The 38th Pacific Asia Conference on Language, Information and Computation or PACLIC 38 (2024), Tokyo, Japan, 2024
Tri-Quang Pham, Xuan-Vinh Vu, Thien-Anh Nguyen, Cong-Thien Pham, Thanh-Tho Quan, “Slide2Vid: Dynamic Video Generation from Static Presentations through Sequential Contextual Refinement”, Proceedings of The 17th Multi-disciplinary International Conference on Artificial Intelligence (MIWAI-2024), Pattaya, Thailand, 2024
DUC Q. NGUYEN,THANH TOAN NGUYEN, JUN JO, FLORENT POUX, SHIKHA ANIRBAN, THO T. QUAN, “Explainable Neural Subgraph Matching with Learnable Multi-hop Attention”, IEEE Access, SCI-E, Q1, 2024
Hieu Trung Phan, Loc Tan Le, Phat Tan Nguyen, Sang Vinh Nguyen, An Thai Nguyen, Triet Minh Tran, Tho Thanh Quan, “Explainable Optimizing Knee Osteoarthritis Diagnosis: Leveraging Multi-label Learning and Clinical Features for Enhanced Accuracy”, Proceedings of 7th International Conference on Multimedia Analysis and Pattern Recognition (MAPR 2024), IEEE Xplore, Danang, Vietnam, 2024
Tran Ngoc Oanh, Bui Cong Tuan, Nguyen Viet Phuong, Ho Nguyen Ngoc Bao, Nguyen Song Thien Long, Bui Hoai Thang, Quan Thanh Tho, “DEVELOPMENT OF INTELLIGENT VIRTUAL ASSISTANTS USING LARGE LANGUAGE MODELS TO SUPPORT ACADEMIC ACTIVITIES”, Hong Bang International University Journal of Science, Special Issue on National Conference of 05/2024, 2024 (in Vietnamese)
Quan Thanh Tho, Nguyen Hoai Phương, Bui Cong Tuan, Huynh Tan Khai, Bui Le Ngoc Min, “Entity Recognition in Real Estate Using Deep Learning Models”, Science and Technology Development Journal, VNU-HCM Press, 2024 (in Vietnamese)
Long-Ngo-Hoang Bui, Huu-Thien-Phu Nguyen, Minh-Khoi Le, Cong-Thien Pham, Thanh-Tho Quan, “Handling Imbalanced Resources and Loanwords in Vietnamese-Bahnaric Neural Machine Translation”, International Journal of Intelligent Information and Database Systems, 2024 (accepted)
Tuan Bui, Oanh Tran, Phuong Nguyen, Bao Ho, Long Nguyen, Thang Bui, Tho Quan, “Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A Case Study at HCMUT”, Proceedings of The First ACM Workshop on AI-Powered Q&A Systems for Multimedia (AIQAM'24), at The Annual ACM International Conference on Multimedia Retrieval 2024 (ICMR 2024), Phuket, Thailand, 2024
Hieu Trung Phan, Loc Tan Le, Mao Xuan Nguyen, Phat Tan Nguyễn, Sang Vinh Nguyen, Triet Minh Tran, Tho Thanh Quan, “XGA-Osteo: Towards XAI-Enabled Knee Osteoarthritis Diagnosis with Adversarial Learning”, Proceedings of 2024 International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Korea, 2024 (A-ranked Conf.)
Vinh Nguyen-Nhu, Tho Thanh Quan, Thien Duc Duong, Son Trung Huynh, Ngan Thi Kim Le, Duy Phung Quoc Vo, Liem Thanh Nguyen, Bao Pham Gia Nguyen, Hue Thi Hong Nguyen, Phuc Hoang Vo, Tung Ngoc Nguyen, Chinh Quang Doan, Minh Tran Cong Bui, Sy Duong-Quy, “Harnessing Technology for Pandemic Support: Developing a COVID-19 Chatbot in Vietnam”, JOURNAL OF FUNCTIONAL VENTILATION AND PULMONOLOGY, 46(15), 2024
Nguyen Duy Viet Toan, Quan Thanh Tho, “VLF-VQA: Vietnamese Lightweight Fusion architecture for Visual Question Answering”, Proceedings of The 13th Conference on Information Technology and its Applications (CITA 2024), Danang, Vietnam, 2024
Mao Nguyen, Triet Le, Thien Pham, Tho Quan, “GEO: An Approach for Out-of-Distribution Detection in Graph Neural Networks using Energy Scoring and One-Class Learning”, Proceedings of The 13th Conference on Information Technology and its Applications (CITA 2024), Danang, Vietnam, 2024
Sang T. Truong, Duc Q. Nguyen, Toan Nguyen, Dong D. Le, Nhi N. Truong, Tho Quan, Sanmi Koyejo, “Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models”, Proceedings of The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-24), Mexico City, Mexico, 2024 (A-ranked Conf.)
Khang N. H. Vo, Dong Le, Dat M. T. Phan, Sang T. Nguyen, Nguyen Q. Pham, Oanh N. Tran, Duc Q. Nguyen, Hieu M. T. Vo, Tho Quan, “Revitalizing Bahnar Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes”, Proceedings of The 14th Symposium on Educational Advances in Artificial Intelligence (EAAI-24), co-located with The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada, 2024
Khoi M. Le, Trinh Pham, Tho Quan, Luu Anh Tuan, “LAMPAT: Low-rank Adaption for Multilingual Paraphrasing using Adversarial Training”, Proceedings of The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada, 2024 (A-ranked Conf.)
Hoang-Dung Nguyen, Duc Q. Nguyen, Cong-Duy Nguyen, Phong T.To, Danh H. Nguyen, Huy Nguyen-Gia, Long H. Tran, Anh Q. Tran, An Dang-Hieu, Anh Nguyen-Duc, Tho Quan. Supervised Learning Models for Social Bot Detection: Literature review and benchmark, Expert System with Applications, Volume 238, Part E, 15 March 2024, SCI-E (Q1)