For publication records prior to 2023, please visit the personal homepage of Racharak !
Wuttichai Vijitkunsawat, Teeradaj Racharak**, GSR-Fusion: A Deep Multimodal Fusion Architecture for Robust Sign Language Recognition Using RGB, Skeleton, and Graph-based Modalities, In IEEE Access, 2025. DOI: 10.1109/ACCESS.2025.3581683 (Q1, Impact Factor: 3.557)
Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari, A New Integrated Neurosymbolic Approach for Crop-Yield Prediction Using Environmental Data and Satellite Imagery at Field Scale, In Artificial Intelligence in Geosciences, 2025 (Q1, Impact Factor: 4.2)
Kong Wei Kun**, Xin Liu, Teeradaj Racharak**, Guanqun Sun, Qiang Ma, Le-Minh Nguyen, Weight-aware Tasks for Evaluating Knowledge Graph Embeddings, In Knowledge-Based Systems, 2025. DOI: 10.1016/j.knosys.2025.113596 (Q1, Impact Factor: 7.2)
Han Shu, Guanqun Sun**, Yizhi Pan, Qi Yuan, Yangyi Feng, Peng Cheng, Kai Li, Le-Minh Nguyen, Teeradaj Racharak**, and Junyi Xin**, Decoder-Focused Knowledge Distillation for Lightweight U-Net Segmentation in Medical Imaging, In Scientific Reports, 2025 (Q1, Impact Factor: 3.8)
Chutiporn Anutariya, Hathaichanok Chawmungkrung, Watanee Jearanaiwongkul**, Teeradaj Racharak**, ChatBlock: A Block-based Chatbot Framework for Supporting Young Learners and the Classroom Authoring for Teachers, In Technologies, 2024 (Q1, Impact Factor: 4.2)
Pan Yizhi**, Junyi Xin, Tianhua Yang, Siqi Li, Le-Minh Nguyen, Teeradaj Racharak**, Kai Li**, Guanqun Sun**, A Mutual Inclusion Mechanism for Precise Boundary Segmentation in Medical Images, In Frontiers in Bioengineering and Biotechnology, section Biosensors and Biomolecular Electronics, 2024 (Q1, Impact Factor: 4.3)
Wuttichai Vijitkunsawat, Teeradaj Racharak**, A Comprehensive Benchmark and Evaluation of Thai Finger Spelling in Multi-modal Deep Learning Models, In IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3486729 (Q1, Impact Factor: 3.557)
Yao Wang, Xin Liu**, Wei kun Kong, Hai-Tao Yu , Teeradaj Racharak**, Kyoung-Sook Kim, Minh Le Nguyen**, A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations, In IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3420877 (Q1, Impact Factor: 3.557)
Wuttichai Vijitkunsawat, Teeradaj Racharak**, Minh Le Nguyen, Deep Multimodal-based Finger Spelling Recognition for Thai Sign Language: A New Benchmark and Model Composition, In Machine Vision and Applications (MVA), 2024. DOI: 10.1007/s00138-024-01557-9 (Q2, Impact Factor: 2.983)
Guanqun SUN, Yizhi Pan, Weikun Kong, Zichang Xu, Jianhua Ma, Teeradaj Racharak, Le-Minh Nguyen, Junyi Xin, DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation, In Frontiers in Bioengineering and Biotechnology, section Biosensors and Biomolecular Electronics, 2024. (Q1, Impact Factor: 5.7)
Guanqun Sun, Han Shu, Feihe Shao, Teeradaj Racharak, Weikun Kong, Yizhi Pan, Jingjing Dong, Shuang Wang, Le-minh Nguyen, Junyi Xin, FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting through Knowledge Distillation, In IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3372394 (Q1, Impact Factor: 3.557)
Supatta Viriyavisuthisakul, Parinya Sanguansat, Teeradaj Racharak, Minh Le Nguyen, Natsuda Kaothanthong, Choochart Haruechaiyasak, Toshihiko Yamasaki, Parametric Loss based Super-Resolution for Scene Text Recognition, In Machine Vision and Applications (MVA), 2023. DOI: 10.1007/s00138-023-01416-z (Q2, Impact Factor: 2.983)
Kong Wei Kun, Xin Liu, Teeradaj Racharak, Guanqun Sun, Jianan Chen, Qiang Ma, Le-Minh Nguyen, WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs, In IEEE Access, vol. 11, pp. 48901-48911, 2023. DOI: 10.1109/ACCESS.2023.3276319 (Q1, Impact Factor: 3.476)
Feifei Sun, Ziyi Tong, Teeradaj Racharak, Minh Le Nguyen, Time Tells: Temporal Event Ordering in Frontier LLMs — Performance, Limitations, and Human Comparison, In Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation (PACLIC), December 5-7, 2025 (CORE Rank C)
Teeradaj Racharak*, Chaiyong Ragkhitwetsagul*, Chayanee Junplong**, Akara Supratak, Towards Human-interpretable Explanation in Code Clone Detection using LLM-based Post Hoc Explainer, In Proceedings of the 32nd Asia-Pacific Software Engineering Conference (APSEC), December 2-5, 2025 (CORE Rank C)
Teeradaj Racharak, Watanee Jearanaiwongkul, JSimELHExplainer: A Robust JAVA Library for Explainable Semantic Similarity for ELH Description Logic Ontology, In Proceedings of the 24th International Semantic Web Conference (ISWC), November 2-6, 2025 (CORE Rank A)
Accepted as a Poster Paper
Watanee Jearanaiwongkul, Teeradaj Racharak, Human-Friendly Explanation for Ontology-based Concept Similarity: Design and Development, In Proceedings of the 24th International Semantic Web Conference (ISWC), November 2-6, 2025 (CORE Rank A)
Accepted as a Poster Paper
Watanee Jearanaiwongkul, Teeradaj Racharak, Jiraporn Pooksook, Find a Contrary in Hotel Reviews Booking.com: A Corpus Creation for Contrary Mining Task of Assumption-based Argument Mining, In Proceedings of the 3rd International Conference on Data Science & Artificial Intelligence (DS&AI 2025), Sri Lanka, November 19-21, 2025
Chavakan Yimmark and Teeradaj Racharak, T-GreC at LLMs4OL 2025 Task B: A Report on Term-Typing Task of OBI dataset using LLM with k-Nearest Neighbors, LLMs4OL 2025: The 2nd Large Language Models for Ontology Learning Challenge at the 24th ISWC, Co-located with the 24th International Semantic Web Conference (ISWC 2025), Nara, Japan, November 2-6, 2025
Teeradaj Racharak*, Chaiyong Ragkhitwetsagul*, Chommakorn Sontesadisai, Thanwadee Sunetnanta, Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning, In Proceedings of the 30th International Conference on Natural Language & Information Systems (NLDB), Kanazawa, Japan, July 4-6, 2025 (CORE Rank C)
Teeradaj Racharak, Watanee Jearanaiwongkul, Jiraporn Pooksook and Kazuki Takashima, Towards Assumption-based Argumentation Mining in Hotel Reviews, In Proceedings of the 6th International Conference on Logic and Argumentation (CLAR), Taiyuan, China, June 14-16, 2025
Teeradaj Racharak, Chavakan Yimmark, A Strategy for Implementing Garbage Detection in Ontology Completion using Description Logics, In Proceedings of the 38th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE), Kitakyushu, Japan, July 1-4, 2025 (CORE Rank C)
Prabhat Parajuli, Teeradaj Racharak**, A Framework for Identifying Underspecification in Image Classification Pipeline using Post-hoc Analyzer, In Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Porto, Portugal, February 23-25, 2025 (CORE Rank C)
Teeradaj Racharak, Tongyu Wang*, Watanee Jearanaiwongkul*, An Automated Medical RDF Knowledge Graph Construction from Text using In-context Learning, In Proceedings of the 16th International Conference on Knowledge and Systems Engineering (KSE), Kuala Lumpur, Malaysia, November 5-7, 2024 (Hybrid) [SLIDE]
Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari, A Quantitative Assessment Framework for Modelling and Evaluation using Representation Learning in Smart Agriculture Ontology, In Proceedings of 16th International Conference on Agents and Artificial Intelligence (ICAART), Rome, Italy, February 24-26, 2024 (CORE Rank B) [SLIDE]
Rathachai Chawuthai, Natthawut Kertkeidkachorn*, Teeradaj Racharak*, Modelling an RDF Knowledge Graph with Transitivity and Symmetry for Bus Route Path Finding, In Proceedings of the 6th Artificial Intelligence and Cloud Computing Conference (AICCC), Kyoto, Japan, December 16-18, 2023
Kasorn Galajit, Thunpisit Kosolsriwiwat, Masashi Unoki, Candy Olivia Mawalim, Pakinee Aimmanee, Waree Kongprawechnon, Win Pa Pa, Anuwat Chaiwongyen, Teeradaj Racharak, Surasak Boonkla, Hayati Yassin, and Jessada Karnjana, ThaiSpoof: A Database for Spoof Detection in Thai Language, In Proceedings of the 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2023), Bangkok, Thailand, November 27-29, 2023
Shin Thant, Teeradaj Racharak, Frederic Andres, BERT Fine-tuning the Covid-19 Open Research Dataset for Named Entity Recognition, In Proceedings of the 1st International Conference of Data Science and Artificial Intelligence (DSAI), Bangkok, Thailand, November 27-29, 2023 [SLIDE]
Khine Myat Thwe, Teeradaj Racharak, Minh Le Nguyen, Gender Bias Analysis in Commonsense Knowledge Graph Embeddings, In Proceedings of the 15th IEEE International Conference on Knowledge and Systems Engineering (KSE), Ha Noi, Vietnam, October 18-20, 2023 [SLIDE]
Wuttichai Vijitkunsawat, Teeradaj Racharak, Minh Le Nguyen, Deep Multimodal-Based Number Finger Spelling Recognizer for Thai Sign Language, In Proceedings of the International Symposium on Communications and Information Technologies (ISCIT), Sydney, Australia, 2023
Teeradaj Racharak, Watanee Jearanaiwongkul, Khine Myat Thwe, Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge, In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Phuket, Thailand, 2023 (CORE2021 Rank B)
Tao Jin, Teeradaj Racharak, Minh Le Nguyen, NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering, In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Phuket, Thailand, 2023 (CORE2021 Rank B) [SLIDE]
Wuttichai Vijitkunsawat, Teeradaj Racharak, Chau Nguyen, Le-Minh Nguyen, Video-based Sign Language Digit Recognition for the Thai Language: A New Dataset and Method Comparisons, In Proceedings of 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Lisbon, Portugal, 2023 (CORE Rank C)
Yudai Kubono, Teeradaj Racharak, Satoshi Tojo, Logic of Awareness in Agent’s Reasoning, In Proceedings of 15th International Conference on Agents and Artificial Intelligence (ICAART), Lisbon, Portugal, 2023 (CORE2021 Rank B)
Feifei Sun, Ziyi Tong, Houjing Wei, Cheng Peng, Teeradaj Racharak, Minh Le Nguyen, Benchmarking Temporal Reasoning: Can Large Language Models Navigate Time When Stories Refuse to Follow a Straight Line?, In the NeurIPS Workshop on Foundations of Reasoning in Language Models (FoRLM), San Diego, California, December 6-7, 2025
Teeradaj Racharak*, Chaiyong Ragkhitwetsagul*, Chayanee Junplong**, Akara Supratak, Towards Human-interpretable Explanation in Code Clone Detection using LLM-based Post Hoc Explainer, In Proceedings of the 32nd Asia-Pacific Software Engineering Conference (APSEC), December 2-5, 2025 (CORE Rank C)
Teeradaj Racharak, Tongyu Wang*, Watanee Jearanaiwongkul*, AutoMedKG: Prompt Engineering for A Medical RDF Knowledge Graph Construction from Text, In International Workshop on Forging Trust in Artificial Intelligence (ForgtAI) in conjunction with IEEE IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024. (Hybrid) [SLIDE]
Supatta Viriyavisuthisakul, Parinya Sanguansat, Teeradaj Racharak, Minh Le Nguyen, Natsuda Kaothanthong, Choochart Haruechaiyasak, Toshihiko Yamasaki, Parametric Loss based Super-Resolution for Scene Text Recognition, In the Women in Computer Vision Workshop in conjunction with ICCV 2023, Paris, France, 2023
Accepted as a Poster Paper (not considered for proceedings)
Supatta Viriyavisuthisakul, Parinya Sanguansat, Teeradaj Racharak, Minh Le Nguyen, Toshihiko Yamasaki, Text Recognition in Low Resolution Images Using Trainable Regularization, In the 37th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), June 6 - 9, 2023
Prabhat Parajuli, Teeradaj Racharak, Towards Identification of Underspecification Problem in Image Classification, In (the Poster Session of) the 8th International Conference on Information Technology (InCIT), Kanazawa, Japan, November 14, 2024
Tongyu Wang , Teeradaj Racharak**, Prabhat Parajuli, Kazuki Takashima, Towards Benchmarking Description Logic Learning, In (the Poster Session of) the 8th International Conference on Information Technology (InCIT), Kanazawa, Japan, November 14, 2024
Yao Wang, Xin Liu**, Wei kun Kong, Hai-Tao Yu , Teeradaj Racharak**, Kyoung-Sook Kim, Minh Le Nguyen**, A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations, In (the Encore Track of) Australasian Database Conference (ADC), 2024
Supatta Viriyavisuthisakul, Parinya Sanguanset, Teeradaj Racharak, Minh Le Nguyen, Toshihiko Yamasaki, A Parametric Weight Method for Scene Text Image Super-Resolution, In Image Engineering Study Group (IE), IEICE, Hokkaido University, Japan, February 21-22, 2023.