Dinh Minh Hoa

Dinh Minh Hoa is a lecturer at Ho Chi Minh City University of Foreign Languages – Information Technology (HUFLIT) and a doctoral student in information technology at HUTECH. He holds a BSc and an MSc from HUFLIT, and worked for several years as a software developer before moving into research.

His research lies in natural language processing, centred on question answering systems and conversational agents for Vietnamese, including natural language interfaces to databases and knowledge graphs. Related interests in retrieval, reasoning with large language models, and evidence selection support this line of work.

Journal Papers

[1] Dinh Minh Hoa, Thien Khai Tran, and Bay Vo, “MathCoRL: Structured function-prototype prompting with policy-guided exemplars for efficient mathematical reasoning,” Computers and Electrical Engineering, vol. 134, pp. 111103, 2026, doi: https://doi.org/10.1016/j.compeleceng.2026.111103. Q1 SCIE IF 5.5

[2] Dinh Minh Hoa and Tran Thien Khai, “ViR²: Beam-guided semantic and syntactic example selection for prompting Vietnamese Text-to-SQL,” Vietnam Journal of Science, Technology and Engineering, 2026, doi: 10.31276/VJSTE.2025.0089. 🇻🇳

[3] Tran Khai Thien, Dinh Minh Hoa, Bui Thi Thanh Tu, Nguyen Van Xanh, and Nguyen Tran Thanh Nha, “EXPLORING THE POTENTIAL OF GRAPH NEURAL NETWORKS FOR VIETNAMESE SENTIMENTANALYSIS,” HUFLIT Journal of Science, vol. 9, no. 2, pp. 11, 2025, doi: 10.71091/2354-113X/266. 🇻🇳

[4] Nguyen Van Xanh, Luu Van Nhat Hao, Dinh Hung, and Dinh Minh Hoa, “FINE-TUNING PRE-TRAINED LANGUAGE MODELS FOR VIETNAMESE: A COMPARATIVE STUDY OF FULL FINE-TUNING AND LORA,” HUFLIT Journal of Science, vol. 9, no. 3, pp. 36, 2025. 🇻🇳

[5] Tran Khai Thien and Dinh Minh Hoa, “LEVERAGING LARGE LANGUAGE MODELS FOR EFFICIENT TRANSFORMATION OF NATURAL LANGUAGE INTO CYPHER QUERIES,” HUFLIT Journal of Science, vol. 9, no. 1, pp. 35, 2025, doi: 10.71091/2354-113X/248. 🇻🇳

[6] Tran Khai Thien, Dinh Minh Hoa, Pham Ngoc Bao, Huynh Vu Le, Le Huynh Nghiem, and Nguyen Thi Thuy A, “LARGE LANGUAGE MODELS AND APPLICATIONS,” HUFLIT Journal of Science, vol. 8, no. 3, pp. 17, 2024. 🇻🇳

[7] Dinh Minh Hoa and Duong Tuan Anh, “CLASSIFICATION WITH IMBALANCED DATA IN CUSTOMER CHURN PREDICTION BASED ON IMPROVE RANDOM FOREST,” HUFLIT Journal of Science, vol. 7, no. 3, pp. 58, 2023. 🇻🇳

[8] Hoa Dinh and Thien Khai Tran, “EduChat: An AI-Based Chatbot for University-Related Information Using a Hybrid Approach,” Applied Sciences, vol. 13, no. 22, 2023, doi: 10.3390/app132212446. Q3

[9] Khai Thien Tran, Kha Tu Huynh, Dac-Nhuong Le, Arif Muhammad, and Dinh Minh Hoa, “A deep trash classification model on raspberry pi 4,” Intelligent Automation & Soft Computing, vol. 35, no. 2, pp. 2479-2491, 2022.

[10] Thien Khai Tran, Hoa Minh Dinh, and Tuoi Thi Phan, “Building an enhanced sentiment classification framework based on natural language processing,” Journal of Intelligent & Fuzzy Systems, vol. 43, no. 2, pp. 1771-1777, 2022, doi: 10.3233/JIFS-21927.

[11] Thien Khai Tran, Hoa Dinh, Hien Nguyen, Dac-Nhuong Le, Dong-Ky Nguyen, An C. Tran, Viet Nguyen-Hoang, Ha Nguyen Thi Thu, Dinh Hung, Suong Tieu, Canh Khuu, and Tuan A. Nguyen, “The Impact of the COVID-19 Pandemic on College Students: An Online Survey,” Sustainability, vol. 13, no. 19, 2021, doi: 10.3390/su131910762. Q1 SCIE IF 3.9

Conference Papers

[1] Tieu Phung Mai Suong, Nguyen Tran Thanh Nha, Bay Vo, Dinh Minh Hoa, and Thien Khai Tran, “Graph-Beam Retriever: A Lightweight Framework for Evidence Selection in Vietnamese Fact Verification,” in Proc. Intelligent Systems and Data Science, pp. 476-488, 2026, doi: https://doi.org/10.1007/978-981-95-3358-9_34.