Curriculum Vitae

Education

Ph.D. in Computer Science, Macquarie University, Australia, 2024–2027 (expected)
- School of Computing, Frontier AI Research Centre
- Thesis: Generative Patent Understanding
- iRTP and MQRES Scholarship Recipient
M.E. in Industrial Engineering, Inha University, Republic of Korea, 2018
- Thesis: Automatic Creation of Categories Using Doc2Vec and Document Clustering Techniques
- Winner, 13th Intellectual Property Excellent Thesis Competition, Korean Intellectual Property Office
LL.B. in Law and B.E. in Industrial Management Engineering, Kyungsung University, Republic of Korea, 2016

NLP Research Engineer, NHN, Republic of Korea, April 2019–May 2022
- Conducted research and development in natural language processing, including semantic similarity, data augmentation, medical code prediction, information retrieval, and Korean text correction.
- Developed and evaluated deep learning and language-model methods for both research and production environments.

Seung-Won Seo, Won Ik Cho, and Yongmin Yoo (corresponding author).
“Domain-Agnostic Neural Topic Modeling with Contextual Token-Level Semantic Graph Representation.”
Proceedings of AACL-IJCNLP 2026 (Main Conference).
Yongmin Yoo, Qiongkai Xu, and Longbing Cao.
“Adaptive Cost-Efficient Evaluation for Reliable Patent Claim Validation.”
Findings of the Association for Computational Linguistics: EMNLP 2026.
Yongmin Yoo, Qiongkai Xu, and Longbing Cao.
“PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation.”
Findings of the Association for Computational Linguistics: ACL 2026.
Yongmin Yoo, Seungwoo Kim, and Jingjiang Liu.
“ERA: Aligning Semantic Models with Revealed Economic Preference for Real-Time and Explainable Patent Valuation.”
Information Processing & Management, 63(7), 104898.

Yongmin Yoo, Qiongkai Xu, and Longbing Cao.
“PatentScore: Multi-Dimensional Evaluation of LLM-Generated Patent Claims.”
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), pp. 30715–30734.

Ej Cho, George Jensen, Yongmin Yoo, Aniket Mahanti, and Jong-Kyou Kim.
“Characterizing the Initial and Subsequent NFT Sales Market Dynamics: Perspectives from Boom and Slump Periods.”
IEEE Access, 12, pp. 3638–3658.

Yongmin Yoo, Tak-Sung Heo, Yeongjoon Park, and Kyungsun Kim.
“A Novel Hybrid Methodology of Measuring Sentence Similarity.”
Symmetry, 13(8), 1442.
Tak-Sung Heo, Yongmin Yoo, Yeongjoon Park, Byeong-Cheol Jo, Kyounguk Lee, and Kyungsun Kim.
“Medical Code Prediction from Discharge Summary: Document-to-Sequence BERT Using Sequence Attention.”
Proceedings of the 2021 IEEE International Conference on Machine Learning and Applications (ICMLA 2021), pp. 1239–1244.

Macquarie University Postgraduate Research Fund (PGRF), 2026
HDR Research Rising Star Award, Macquarie University, 2025
International Research Training Program (iRTP) Scholarship, 2024–2027
Macquarie University Research Excellence Scholarship (MQRES), 2024–2027
13th Intellectual Property Excellent Thesis Competition — Winner, Korean Intellectual Property Office, 2018

Teaching Associate, COMP8420: Advanced Natural Language Processing
School of Computing, Macquarie University, 2026
- Delivered practical workshops on advanced NLP methods.
- Mentored master’s students in implementing and evaluating modern language models.
- Assessed NLP and LLM projects for approximately 90 students.

Special Session Chair, “Integrated Smart Systems and Data-Driven AI,” 13th International Conference on Behavioural and Social Computing (BESC 2026)