言語(Languages): 日本語 / English
田村匠 / Takumi TAMURA
see also:
GitHub
・Zenn
・ORCID
・E-mail
Affiliation
- Master's Programs in Informatics, Graduate School of Comprehensive Human Sciences, University of Tsukuba.
- A member of FunsionCompLab.
Interests
My research topic is human-AI collaboration as a subject of quality control in crowdsourcing.
I am also very interested in recommender systems and AI security.
Data Engineering
Machine Learning, Deep Learning, Recommender Systems, Natural Language Processing (NLP), Crowdsourcing, Human computation, ...etc.
Cyber Security
OSINT (Open Source Inteligence), AI/ML Security, ...etc.
Education
- 2017-2020: Saitama Municipal Urawa High School.
- 2020-2022: Department of Information and Computer Engineering, National Institute of Technology (KOSEN), Kisarazu
College. (Associate Degree of Engineering)
- 2022-2024: College of Media Arts, Science and Technology, School of Informatics, University of Tsukuba. (BSc. in Media Sciences and Engineering)
- 2024-: Master's Programs in Informatics, Graduate School of Comprehensive Human Sciences, University of Tsukuba.
Extracurricular Activities
Publications
Peer-reviewed papers
- Takumi Tamura, Takashi Harada, Hiroyoshi Ito, Atsuyuki Morishima, Yukihiro Fukusima, Minako Nishiura, Sho Sato, Conditions for Human Intervention in Library-Oriented Hybrid Bibliographic Identification, In proceedings of the 2025 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC2025), 20-22 September 2025, Hanoi, Vietnam (accepted).
- Tomoya Nishio, Hiroyoshi Ito, Takumi Tamura, Atsuyuki Morishima, Rationale-aware Label Aggregation in Crowdsourcing, In proceedings of the ACM Collective Intelligence Conference 2025 (CI'2025), pp.188-197, 4-6 August, 2025, La Jolla, California, USA.
- Takumi Tamura, Yoichiro Ito, Masaki Aota, Kenta Yamada, Shotaro Ishihara, Should Embedding-Based News Recommendation Be Revisited? A Focus on the Differences Between News Publishers and Aggregators, Industry Track, In proceedings of the 30th International Conference on Natural Language & Information Systems (NLDB2025), Part II, pp.177-188, July 4-6, 2025, Kanazawa, Japan.
- Takumi Tamura, Hiroyoshi Ito, Satoshi Oyama, Atsuyuki Morishima, Simulation-based Exploration for Aggregation Algorithms in Human+AI Crowd: What factors should we consider for better results?, Works-in-Progress and Demos track, The 12th AAAI Conference on Human Computation and Crowdsourcing (HCOMP2024), 4 pages, October 16–19, 2024, Pittsburgh, Pennsylvania, USA. (Best Work-in-Progress Paper) [poster] [supplemental materials]
- Takumi Tamura, Hiroyoshi Ito, Satoshi Oyama, Atsuyuki Morishima, Influence of AI’s Uncertainty in the Dawid-Skene Aggregation for Human-AI Crowdsourcing, In proceedings of the 19th International Conference on Information (iConference2024), Part III, pp.232–247, April 15–26, 2024, Changchun, China. (Available at: https://tsukuba.repo.nii.ac.jp/records/2014554)
Japanese papers (non peer-reviewed)
Presentations
Awards
- 2024.3: Student Presentation Award: 16th Forum on Data Engineering and Information Management (DEIM2024)
- 2024.3: Dean of School of Informatics Award: University of Tsukuba
- 2024.10 HCOMP2024 Best Work-in-Progress Paper Award (Best Poster Award)
- 2024.11 Hack the Disinfo 2024 (Awarded as the team "ibaraki-panda-lovers")
Qualifications
Japan Information-Technology Engineers Examination
- FundamentaI Information TechnoIogy Engineer (in 2018)
- Applied Information TechnoIogy Engineer (in 2020)
- Information Security Specialist (in 2022, not registered)