Tran Khai Thien

After receiving a Master’s degree with distinction (Gold Medal) in Computer Science in 2013 from the University of Information Technology, VNU-HCM, and a Ph.D. in Computer Science from Ho Chi Minh City University of Technology, VNU-HCM in 2021, Dr. Tran is currently the Head of the Digital Technology Department at Ho Chi Minh City University of Industry and Trade (HUIT).

He has served as a reviewer and published numerous articles in prestigious SCIE-indexed journals, including Artificial Intelligence Review, Connection Science, Journal of Intelligent & Fuzzy Systems, Soft Computing, IEEE Access, Enterprise Information Systems, and Computers and Electrical Engineering. In addition, Dr. Tran is an active member of several International Program Committees and Advisory Boards for various academic conferences.

Interests: artificial intelligence; natural language processing; data science; information retrieval; machine learning; deep learning;

Contact: thientk@huit.edu.vn

Journal Papers

[1] Le An Pha, Le Thi Thuy, Vu Nguyen Hong, Tuoi Thi Phan, and Thien Khai Tran, “A Systematic Survey of Sentiment Analysis in Low-Resource Southeast Asian Languages: Resources, Methods, and Evaluation Challenges,” ICT Express, 2026, doi: https://doi.org/10.1016/j.icte.2026.06.013. Q1 SCIE IF 4.6

[2] Thuy-A Nguyen, Bay Vo, and Thien Khai Tran, “Debating to verify: A robust and explainable multi-agent LLM system for fact-checking,” ICT Express, 2026, doi: https://doi.org/10.1016/j.icte.2026.05.017. Q1 SCIE IF 4.6

[3] Luu Van Nhat Hao, Tieu Phung Mai Suong, Nguyen Khanh Vy, and Thien Khai Tran, “Dominance aware multimodal rumor verification using reliability calibrated multi-expert inference,” Discover Artificial Intelligence, 2026, doi: 10.1007/s44163-026-01687-1. Q1

[4] 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

[5] Tran Tri Dang, Hao Luu Van Nhat, and Thien Khai Tran, “MOSAIC: a structurally robust multimodal framework for fine-grained fake news detection via optimal transport and adaptive expert routing,” Data Technologies and Applications, pp. 1-15, 2026, doi: 10.1108/DTA-07-2026-0792. Q2 SCIE

[6] Phuong Lam, Minh Y Nguyen, and Thien Khai Tran, “Parameter-efficient image–text classification via bidirectional fusion and directional disagreement refinement,” Displays, 2026, doi: 10.1016/j.displa.2026.103679. Q2 SCIE IF 3.9

[7] 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. 🇻🇳

[8] Thanh Le and Thien Khai Tran, “ViToxReduce: A Python library for Toxic Comment Detection and Reduction,” SoftwareX, vol. 34, pp. 102620, 2026, doi: https://doi.org/10.1016/j.softx.2026.102620. Q2 SCIE IF 1.9

[9] 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. 🇻🇳

[10] Dinh-Hong Vu, Kien Nguyen, Khai Thien Tran, Bay Vo, and Tuong Le, “Improving fake job description detection using deep learning-based NLP techniques,” Journal of Information and Telecommunication, vol. 9, no. 1, pp. 113-125, 2025, doi: 10.1080/24751839.2024.2387380. Q2

[11] 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. 🇻🇳

[12] Tieu Phung Mai Suong, Le Huynh Nghiem, and Thien Khai Tran, “Leveraging large language models for enhanced fake news detection: a novel approach using explanation-guided networks,” Enterprise Information Systems, vol. 19, no. 9, pp. 2520213, 2025, doi: 10.1080/17517575.2025.2520213. Q1 SCIE IF 3.6

[13] Le An Pha and Thien Khai Tran, “Leveraging large language models for sentiment analysis: A hybrid contextual and linguistic feature fusion approach,” Computers and Electrical Engineering, vol. 127, pp. 110643, 2025, doi: https://doi.org/10.1016/j.compeleceng.2025.110643. Q1 SCIE IF 5.5

[14] Dai Phuoc Nguyen, Thien Khai Tran, Y Minh Nguyen, and Bay Vo, “ViClickbait-2025: A comprehensive dataset for Vietnamese clickbait detection,” Data in Brief, vol. 63, pp. 112164, 2025, doi: https://doi.org/10.1016/j.dib.2025.112164. Q3

[15] Chien D. C. Ta and Thien Khai Tran, “Constructing a subject-based ontology through the utilization of a semantic knowledge graph,” International Journal of Information Technology, vol. 16, no. 2, pp. 1063-1071, 2024, doi: 10.1007/s41870-023-01575-2. Q1

[16] 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. 🇻🇳

[17] Kha Tu Huynh, Thi Phuong Linh Le, Muhammad Arif, and Thien Khai Tran, “A deep learning model of traffic signs in panoramic images detection,” INTELLIGENT AUTOMATION AND SOFT COMPUTING, vol. 37, no. 1, pp. 401-418, 2023.

[18] An C Tran, Thien Khai Tran, Nguyen Minh Nhut, and Nguyen Huu Van Long, “Building a deep ontology-based herbal medicinal plant search system,” Intelligent Automation & Soft Computing, vol. 15, no. 4, pp. 2209-2223, 2023, doi: 10.1007/s41870-023-01250-6.

[19] Thuy Le Thi, Thien Khai Tran, and Tuoi Thi Phan, “Deep Learning Using Context Vectors to Identify Implicit Aspects,” IEEE Access, vol. 11, pp. 39385-39393, 2023, doi: 10.1109/ACCESS.2023.3268243. Q1 SCIE IF 4.2

[20] 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

[21] 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.

[22] 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.

[23] Thien Khai Tran, Chien DC Ta, and Tuoi Thi Phan, “Simplified effective method for identifying semantic relations from a knowledge graph,” Journal of Intelligent & Fuzzy Systems, vol. 43, no. 2, pp. 1871-1876, 2022, doi: 10.3233/JIFS-219288.

[24] 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

[25] Tran Khai Thien and Tieu Phung Mai Suong, “A SURVEY ON SENTIMENT ANALYSIS FOR VIETNAMESE,” HUFLIT Journal of Science, vol. 6, no. 1, pp. 82, 2020. 🇻🇳

[26] Thien Khai Tran and Tuoi Thi Phan, “Capturing Contextual Factors in Sentiment Classification: An Ensemble Approach,” IEEE Access, vol. 8, no. 1, pp. 116856-116865, 2020, doi: 10.1109/ACCESS.2020.3004180.

[27] Thien Khai Tran and Tuoi Thi Phan, “Deep learning application to ensemble learning—the simple, but effective, approach to sentiment classifying,” Appl. Sci, vol. 9, no. 13, pp. 2760, 2019, doi: 10.3390/app9132760.

[28] Thien Khai Tran and Tuoi Thi Phan, “Mining opinion targets and opinion words from online reviews,” International Journal of Information Technology, vol. 9, pp. 239-249, 2017, doi: 10.1007/s41870-017-0032-9.

[29] Thien Khai Tran, Dung Minh Pham, and Binh Van Huynh, “Towards building an intelligent call routing system,” International Journal of Advanced Computer Science and Applications, vol. 7, no. 1, pp. 528, 2016.

[30] Thien Khai Tran, Tien Cat Khai Tran, Tho Anh Mai, Nhat Minh H Nguyen, and Hien Thanh Vu, “EDUVoice-a system for querying academic information via PSTN,” The Third Asian Conference on Information Systems (ACIS 2014). Nha Trang, 2014.

[31] Thien Khai Tran and Tuoi Thi Phan, “Multi-class opinion classification for Vietnamese hotel reviews,” International Journal of Intelligent Technologies and Applied Statistics, vol. 9, no. 1, pp. 7-18, 2014, doi: 10.6148/IJITAS.2016.0901.02.

[32] Thien Khai Tran and Dang Tuan Nguyen, “Semantic processing mechanism for listening and comprehension in VNSCalendar system,” International Journal on Natural Language Computing (IJNLC), vol. 2, 2013.

Conference Papers

[1] Nguyen Phuoc Dai, Huynh Ly Tan Khoa, Luu Van Nhat Hao, Y. Nguyen Minh, Bay Vo, and Thien Khai Tran, “Benchmarking Conventional, Deep, and Large Language Models on Vietnamese Clickbait Detection,” in Proc. Intelligent Systems and Data Science: ISDS 2025, Communications in Computer and Information Science, vol. 2714, pp. 489-496, 2026, doi: 10.1007/978-981-95-3358-9_35.

[2] Nguyen Phuoc Dai, Luu Van Nhat Hao, and Thien Khai Tran, “Clickbait Detection: A Comparative Analysis of Traditional Machine Learning, Deep Learning, and Large Language Models,” in Proc. Computational Intelligence in Engineering Science, pp. 3-12, 2026.

[3] Nguyen Hong Vu, Pham Ngoc Bao, Hoang Thi Minh Anh, Vu Phu Loc, Huynh Thi Cam Dung, Minh Y. Nguyen, Luu Van Nhat Hao, and Thien Khai Tran, “Enhancing Fake News Detection Resilience Against Style Attacks: The Content-Style Invariant Detector,” in Proc. Computational Intelligence in Engineering Science: ICCIES 2026, Communications in Computer and Information Science, vol. 2943, pp. 233-247, 2026, doi: 10.1007/978-3-032-21625-0_17.

[4] Thanh Le, Luu Duc Ngo, Tan Quang Nguyen, Tuong Le, and Thien Khai Tran, “Enhancing Vietnamese Hate Speech Detection with Multi-agent Debate,” in Proc. Intelligent Systems and Data Science, pp. 401-413, 2026, doi: 10.1007/978-981-95-3355-8_29.

[5] 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.

[6] Tieu Phung Mai Suong, Bay Vo, and Thien Khai Tran, “GRIT-R: A Graph–Text Fusion Framework with Gated Integration for Rumor Detection on Social Media,” in Proc. Intelligent Information and Database Systems, pp. 251-262, 2026, doi: 10.1007/978-981-92-0071-9_17.

[7] Tieu Phung Mai Suong, Bay Vo, and Thien Khai Tran, “GRIT-R: A Graph–Text Fusion Framework with Gated Integration for Rumor Detection on Social Media,” in Proc. Lecture Notes in Computer Science, vol. 16530, pp. 251-262, 2026, doi: 10.1007/978-981-92-0071-9_17.

[8] Nguyen Huynh Huy Hoang, Dang Duc Chinh, Dinh Hung, Vu Nguyen Hong, and Thien Khai Tran, “Towards a Fact-Checking Framework Based on Large Language Models with Structured Knowledge Integration,” in Proc. Proceedings of Fifth International Conference on Computing and Communication Networks, pp. 479-487, 2026.

[9] Sravani Mall, Sayed Reza, Thien Khai Tran, and Hien Nguyen, “Enhancing Knowledge Base Completion for Long-Tail Entities Through Zero-Shot Learning,” in Proc. Innovative Computing and Communications, pp. 535-549, 2025.

[10] Thien Khai Tran and Tuoi Thi Phan, “Computing Sentiment Scores of Verb Phrases for Vietnamese,” in Proc. Proceedings of the 28th Conference on Computational Linguistics and Speech Processing (ROCLING 2016), pp. 204-213, 2016.

[11] Thien Khai Tran and Tuoi Thi Phan, “An upgrading SentiVoice-a system for querying hotel service reviews via phone,” in Proc. 2015 International Conference on Asian Language Processing (IALP), pp. 115-118, 2015, doi: 10.1109/IALP.2015.7451545.