🧑‍🔬 Toshihiko Yamasaki

🏛️ Affiliations

🎓The University of TokyoTokyo · Japan1994–2026 · 410 papersEducation 1995–1999 · Bachelor of Engineering, Electrical EngineeringEducation 1999–2001 · Master of Engineering, Information and Communication EngineeringEducation 2001–2004 · Ph.D., Electrical EngineeringEmployment 2004–2006 · Assistant Professor, Frontier InformaticsEmployment 2006–2009 · Senior Assistant Professor (Lecturer), Information and Communication EngineeringEmployment 2009–2022 · Associate Professor, Information and Communication EngineeringEmployment since 2022 · Professor, Information and Communication Engineeringcurrent🎓Cornell UniversityIthaca · United States2011–2013 · 11 papersEmployment 2012–2013 · Visiting Scientist, Electrical and Computer Engineering🤝Japan Society for the Promotion of ScienceTokyo · Japan2012–2013 · 3 papers🏢Alibaba GroupHangzhou · China2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation (2026 · 2 citations)
   Generative agents powered by LLMs can imitate everyday human conduct. However, current urban simulators give agents fixed personas, ignore routines, duties and weather, assume a single simplistic way of travelling, and call the model synchronously with lengthy dialogues. This makes populations of thousands too…
2. Disagreement-Driven Joint Refinement of Retrieval and Decision Rules for Imbalanced Counseling Risk Classification (2026)
   The paper addresses automatic triage of online counseling records by suicide-risk acuity. This binary task is hard because high-risk cases are rare (about 7% versus 93% low-risk), and LLM predictions on such data tend to be unstable and systematically biased. As a solution, the authors introduce Disagreement-Driven…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Detecting Deepfakes with Self-Blended Images ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKaede Shiohara, Toshihiko Yamasaki2022 · 481 citations
2. Object-Aware Instance Labeling for Weakly Supervised Object Detection ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetSatoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa2019 · 57 citations
3. MobileCity: An Efficient Framework for Large-Scale Urban Behavior SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Xiaotong Ye, Nicolas Bougie, Toshihiko Yamasaki, et al.2026 · 2 citations
4. Disagreement-Driven Joint Refinement of Retrieval and Decision Rules for Imbalanced Counseling Risk ClassificationWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECZhihao Shao, Ryo Sekizaki, Shengzhou Yi, et al.2026

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC: Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2026
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• IEEE/CVF International Conference on Computer Vision (ICCV)

🔗 Cited by

Papers of our library cite their works 6 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026

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