Summary

I am currently a Senior Scientist and Group Manager, leading the Semantic Intelligence Group in Computing & Intelligence Department of Institute of High Performance Computing (IHPC),  Agency for Science, Technology, and Research (A*STAR), Singapore. Prior to that, I was an assistant professor at Ritsumeikan University, Japan. I obtained my PhD degree at Ritsumeikan University in September 2018.

My current research mainly focuses on Large Language Models and Natural Language Processing, with applications in Healthcare and Finance.

We are seeking outstanding Research Interns in AI for FinTech and MedTech, to join IHPC at A*STAR. Please drop me your CV today!

Research Interests

 Large Language Models, Natural Language Processing, Agentic AI, Data Mining, Entity Matching, Multilingual Information Access,  Digital Library

Publications

• Zhenyu Qian, Yiming Qian, Yuting Song, Fei Gao, Hai Jin, Chen Yu, and Xia Xie, "Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing", In Proceedings of LREC-COLING 2024, pp.8035-8049, 2024.

• Yiming Qian, Yuting Song, et al, "Dr. EYE Chatbot: A Self-Instruct Tuned Large Language Model For Ophthalmology Questions,” International AI in Medicine, 2023.

• Xintao Fang, Yuting Song, and Akira Maeda, "Joint Extraction of Clinical Entities and Relations Using Multi-head Selection Method", In Proceedings of 2021 International Conference on Asian Language Processing, pp.99-104, 2021.

• Yuting Song, Biligsaikhan Batjargal, and Akira Maeda, "Learning Japanese-English Bilingual Word Embeddings by Using Language Specificity", International Journal of Asian Language Processing, Vol. 30, No. 2, 2050014(14 pages), 2020.

• Yuting Song, Biligsaikhan Batjargal, and Akira Maeda, "A Preliminary Attempt to Evaluate Machine Translations of Ukiyo-e Metadata Records", In Proceedings of the 22nd International Conference on Asia-Pacific Digital Libraries, pp.262-268, 2020.

• Yuting Song, Biligsaikhan Batjargal, and Akira Maeda, "Improving Japanese-English Bilingual Mapping of Word Embeddings based on Language Specificity", In Proceedings of 2019 International Conference on Asian Language Processing, pp.279-283, 2019.

• Yuting Song, Biligsaikhan Batjargal, and Akira Maeda, "Title Matching for Finding Identical Metadata Records in Different Languages", In Proceedings of the 13th International Conference on Metadata and Semantics Research, pp.431-437, 2019.

• Yuting Song, Biligsaikhan Batjargal, and Akira Maeda, "Cross-Language Record Linkage based on Semantic Matching of Metadata", The Database Society of Japan English Journal, vol.17, No.1, pp.1-8, 2019.

• Yuting Song, Biligsaikhan Batjargal, and Akira Maeda, "Recognition and Transliteration of Proper Nouns in Cross-Language Record Linkage by Constructing Transliterated Word Pairs", International Journal of Asian Language Processing, Vol.27 No.2, pp.111-125, 2017.

• Yuting Song, "Cross-Language Record Linkage across Humanities Collections using Metadata Similarities among Languages", In Proceedings of the 21st International Conference on Theory and Practice of Digital Libraries (TPDL 2017), pp.640-643, 2017.

• Yuting Song, Taisuke Kimura, Biligsaikhan Batjargal, and Akira Maeda, “Proper Noun Recognition in Cross-Language Record Linkage by Exploiting Transliterated Words”, In Proceedings of the 20th International Conference on Asian Language Processing, pp. 83-86, 2016

• Yuting Song, Taisuke Kimura, Biligsaikhan Batjargal, and Akira Maeda, “Cross-Language Record Linkage using Word Embedding driven Metadata Similarity Measurement”, In Proceedings of the 15th International Semantic Web Conference (ISWC 2016) Poster and Demonstration Track, 4 pages, 2016.

Grants and Industry Projects

"AIDoc: Telehealth AI Powered by Triaging AI Grounded by Medical Knowledge", AI Singapore Open Theme Technology Challenge Plus (AISG-OTTC+) , 2023 ~ 2025 (Co-Investigator).

"End-to-End Privacy Preserving Platform for Facilitating Multi-Institutional Collaboration in Digital Health", IAP-ICP, 2023 ~ 2026 (Tech Lead of Work Package 1).

"Multilingual Knowledge Discovery in Digital Cultural Collections", JSPS KAKENHI Grant-in-Aid for Early-Career Scientists, 2020 ~ 2022 (Principal Investigator).

"Transparent Visualization for Large-Scale 3D Scanned Data of Cultural Heritages", JSPS KAKENHI Fostering Joint International Research (B), 2019 ~ 2022 (Co-Investigator).

Award

Student Presentation Award, The 8th Forum on Data Engineering and Information Management (Japan), Mar. 2016.