Graph Neural Networks/Graph representation
Natural Language Processing
Machine Learning/Deep Learning
Computer vision for the application
Phong, NT., Yen, NHK., An, NH., Quang, DC. (2025). Leveraging Deep Neural Networks for Regional Weather Forecasting in Vietnam. In: Nguyen, N.T., et al. Computational Intelligence in Engineering Science. ICCIES 2025. Communications in Computer and Information Science, vol 2584. Springer, Cham. https://doi.org/10.1007/978-3-031-98161-6_16
L. -T. Tien, H. -N. -M. Hien, H. -T. -X. Ny, N. -H. An and D. -C. Quang, "VNExpirationDate: A Novel Expiration Date Dataset and a Robust Framework for Expiration Date Recognition on Complex Packaging in Vietnam," 2024 RIVF International Conference on Computing and Communication Technologies (RIVF), Danang, Vietnam, 2024, pp. 388-392, doi: 10.1109/RIVF64335.2024.11009092
D. Cam-Quang, N. Huu-An, and L. Van-Vang, “HYPERGRAPH WAVENET: A NOVEL FRAMEWORK FOR TRAFFIC SPEED FORECASTING,” in KỶ YẾU HỘI NGHỊ KHOA HỌC CÔNG NGHỆ QUỐC GIA LẦN THỨ XVII NGHIÊN CỨU CƠ BẢN VÀ ỨNG DỤNG CÔNG NGHỆ THÔNG TIN, Nhà xuất bản Khoa học tự nhiên và Công nghệ, Dec. 2024, pp. 379–387. doi: 10.15625/vap.2024.0227.
Quang, DC., An, NH., Le, VV. (2024). In-Depth with Spatial-Temporal Graph Neural Networks for Traffic Forecasting: An Overview with Attention. In: Nguyen, N.T., Huynh, CP., Nguyen, T.T., Le-Khac, NA., Nguyen, QV. (eds) The 13th Conference on Information Technology and Its Applications. CITA 2024. Lecture Notes in Networks and Systems, vol 882. Springer, Cham. https://doi.org/10.1007/978-3-031-74127-2_25
"Develop the Application integrate Product Details Recognition and Expiration Date Management for Packaged Product" - Academic year 2024.2025 - First Prize at the university level
"Develop an application for expiry date management and dish recommendations based on available food and drink" - Academic year 2023.2024 - Second Prize at the university level
"Develop an application for recognizing tourism attractions in Vietnam" - Academic year 2022.2023 - Second Prize at the university level