Hiroyoshi Ito

Journal

1. Shingo Watanabe, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima　Human-in-the-loop Latent Space Learning for Bibrecord-based Literature Management International Journal on Digital Libraries (IJDL), 17 pages, 2024. [paper]
2. Yukiko Matsumoto, Satoshi Nishida, Ryusuke Hayashi, Shuraku Son, Akio Murakami, Naganobu Yoshikawa, Hiroyoshi Ito, Naoya Oishi, Naoki Masuda, Toshiya Murai, Karl Friston, Shinji Nishimoto, Hidehiko Takahashi Disorganization of Semantic Brain Networks in Schizophrenia Revealed by fMRI Schizophrenia Bulletin, Volume 49, Issue 2, pp. 498–506, 2023. [paper]
3. Atsuyuki Morishima, Masaki Matsubara, Kei Wakabayashi, Hiroyoshi Ito, Nobutaka Suzuki, Computational Division of Labor with Human and AI Workers IEEE Data Engineering Bulletin/43(3)/pp.12-25, 2020.
4. Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs
   Hiroyoshi Ito，Takahiro Komamizu，Toshiyuki Amagasa, Hiroyuki Kitagawa,
   IEICE Transactions on Information and Systems, 102 (4), pp. 810-820, 2019. [paper]
5. Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations
   Hiroyoshi Ito, Toshiyuki Amagasa, Hiroyuki Kitagawa,
   Information Modelling and Knowledge Bases, IOS Press, Vol.XXVIII, pp. 489-504, 2017.

International Conference

1. Kentaro Miyake, Hiroyoshi Ito, Christos Faloutsos, Hirotomo Matsumoto, Atsuyuki Morishima, NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features ACM The Web Conference (WWW 2024), 10 pages, May 13–17, 2024. [paper]
2. Takumi Tamura, Hiroyoshi Ito, Satoshi Oyama, Atsuyuki Morishima, Influence of AI's Uncertainty in the Dawid-Skene Aggregation for Human-AI Crowdsourcing Wisdom, Well-being, Win-win, 19th International Conference (iConference 2024), 15 pages, April 15 - 18, 2024. [paper]
3. Haruto Yamasaki, Masaki Matsubara, Hiroyoshi Ito, Yuta Nambu, Masahiro Kohjima, Yuki Kurauchi, Ryuji Yamamoto, Atsuyuki Morishima, A Cluster-Aware Transfer Learning for Bayesian Optimization of Personalized Preference Models in the Crowd Setting The Eleventh AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023), November 6–9, 2023. [paper]
4. Shingo Watanabe, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima, Human-in-the-loop Latent Space Learning for Bibrecord-based Literature Management The 27th International Conference on Theory and Practice of Digital Libraries (TPDL 2023), September 26-29, 2023.
5. Ayame Shimizu, Kei Wakabayashi, Masaki Matsubara, Hiroyoshi Ito, Atsuyuki Morishima, Hybrid Crowd-AI Learning for Human-Interpretable Symbolic Rules in Image Classification The 13th International Conference on Smart Computing and Artificial Intelligence (SCAI2023), 8 pages, July 8-13, 2023. [paper]
6. Kanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima, Effects of Increasing Working Opportunity on Result Quality in Labor-Intensive Crowdsourcing Normality-Virtuality-Inclusivity-Physicality, 18th International Conference, (iConference 2023), pp.277-293, March 13 - 17, 2023. [paper]
7. Tomoya Kanda, Hiroyoshi Ito, Atsuyuki Morishima, Efficient Evaluation of AI Workers for the Human+AI Crowd Task Assignment The 6th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2022), Proceedings of 2022 IEEE International Conference on BigData, pp.3995-4001, online(Osaka), 17th December 2022. [paper]
8. Yunyi Xiao, Yu Yamashita, Hiroyoshi Ito, Atsuyuki Morishima, Multi-Armed Bandit Approach to Qualification Task Assignment across Multi Crowdsourcing Platforms The 6th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2022), Proceedings of 2022 IEEE International Conference on BigData, pp.4040-4048, online(Osaka), 17th December 2022. [paper]
9. Shingo Watanabe, Hiroyoshi Ito, Masaki Matsubara and Atsuyuki Morishima Bibrecord-based Literature Management with Interactive Latent Space Learning The 24th International Conference on Asia-Pacific Digital Libraries (ICADL 2022), November30-December2, 2022. (Best Student Paper) [paper]
10. Yoshiteru Matsumoto, Hiroyoshi Ito, Hiroko Terasawa, Yuya Yamamoto, Yuzuru Hiraga, Masaki Matsubara, Human-In-The-Loop Chord Progression Generator With Generative Adversarial Network Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC '22) November 7-9, 2022. [paper]
11. Yu Yamashita, Hiroyoshi Ito, Kei Wakabayashi, Masaki Kobayashi, Masaki Matsubara, Atsuyuki Morishima, HAEM: Obtaining Higher-Quality Classification Task Results with AI Workers 14th ACM Web Science Conference 2022 (WebSci22) June, 2022. (Best Paper Candidate) [paper]
12. Hiroyoshi Ito, Christos Faloutsos, DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks Proc. SIAM International Conference on Data Mining (SDM 2022) , Alexandria, Virginia, U.S., pp 46-54, April 28 - 30, 2022. [paper]
13. Yoshiteru MATSUMOTO, Masaki MATSUBARA, Hiroyoshi Ito, Hiroko TERASAWA, Yuzuru HIRAGA, Discussion on the development of feedback-based generation system for chord progressions The 3rd Japan-Taiwan Symposium on Psychological and Physiological Acoustics Jointly held with ASJ Auditory Research Meeting, December, 2021.
14. Naofumi Osawa, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima, BUBBLE : A Quality-Aware Human-in-the-loop Entity Matching Framework The 5th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2021), pp. 3557-3565, December 13th-15th, 2021. [paper]
15. Kanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima, A Skill-based Worksharing Approach for Microtask Assignment The 5th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2021), pp 3544-3547, December 13th-15th, 2021. [paper]
16. Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong A System for Worldwide COVID-19 Information Aggregation Proc. the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020 [paper] online, July 7th-9th, 2020.
17. Shintaro Kurimoto, Yasuhiro Hayase, Hiroshi Yonai, Hiroyoshi Ito, Hiroyuki Kitagawa, Class Name Recommendation Based on Graph Embedding of Program Elements Proc. 26th Asia-Pacific Software Engineering Conference (APSEC 2019) , pp. 498-505, Putrajaya, Malaysia, December 2nd - 5th, 2019. [paper]
18. Hiroyoshi Ito, Toshiyuki Amagasa,An Optimization Scheme for Non-negative Matrix Factorization under Probability Constraints Proc. 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019) , pp. 1-8, Kyoto, Japan, February 27th - March 2nd, 2019. [paper] (Best Paper Runner Up)
19. Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs Proc. 2nd International Workshop on Data Analytics Solutions for Real-Life Applications with 21st EDBT/ICDT Joint Conference , pp. 2-9, Vienna, Austria, March 26th−29th, 2018. [paper]
20. Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, Network-Word Embedding for Dynamic Text Attributed Networks Proc. 6th International Workshop on Semantic Computing for Social Networks and Organization Science with Twelfth IEEE ICSC , pp. 334-339, Laguna Hills, USA, January 31st−Feburary 2nd, 2018. [paper]
21. Hiroyoshi Ito, Toshiyuki Amagasa, Hiroyuki Kitagawa, Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations The 26th International Conference on Information Modelling and Knowledge Bases, Tampere, Finland, June 6−10, 2016.

Poster and Demo

1. Tomoya Kanda, Hiroyoshi Ito, Nobutaka Suzuki, Atsuyuki Morishima, A Logic-based Microtasking Approach for LLMs and Human Processing Demonstration track, The Eleventh AAAI Conference on Human Computation and Crowdsourcing (HCOMP2023),4pages, November 6–9, 2023, Delft, Netherlands.
2. Yunyi Xiao, Yu Yamashita, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima, Multi-Armed Bandit Approach to Task Assignment across Multi Crowdsourcing Platforms The Tenth AAAI Conference on Human Computation and Crowdsourcing (HCOMP2022), Work-in-Progress, Virtual November 6–10, 2022.
3. Kai Kida, Hiroyoshi Ito, Masaki Matsubara, Nobutaka Suzuki, Atsuyuki Morishima, Aggregating Crowd Intelligence over Open Source Information: An Inference Rule Centric Approach The Tenth AAAI Conference on Human Computation and Crowdsourcing (HCOMP2022), Work-in-Progress, Virtual, November 6–10, 2022.
4. Yu Yamashita, Hiroyoshi Ito, Kei Wakabayashi, Masaki Kobayashi, Atsuyuki Morishima, HAEM: Obtaining Higher-Quality Classification Task Results with AI Co-Workers Tne Ninth AAAI Conference on Human Computation and Crowdsourcing (HCOMP2021), Online, November 14-18 2021.

Invited Talk

1. Hiroyoshi Ito, Human-in-the-Loop Machine Learning for Designing Human-AI Co-Existing Society iKeynote Series No.65 ECR'S 1-Hour Forum, November 10th 2023.
2. Hiroyoshi Ito, Sholarly Communication & Scholarly Data Mining AP-iSchools & iNext workshop series, July 18th 2023.
3. Hiroyoshi Ito, Open data sharing concept/policy/technology from data analyzer‘s view The 24th International Conference on Asia-Pacific Digital Libraries (ICADL 2022), pannel discussion, December 2nd 2022.
4. Hiroyoshi Ito, Coexistence Of Humans And AI In The Virtual World – Challenges And Opportunities University of Tsukuba, Tsukuba Conference, September 29th 2021.

Teaching

• Data Structure and Algorithms University of Tsukuba, from 2020 to present.
• Information Mathematics A University of Tsukuba, from 2021 to present.
• Data Science Practice University of Tsukuba, from 2020 to present.

Research Assistant

• University of Tsukuba, Center for Computational Sciences 2015,2016.
• University of Tsukuba, Graduate School of Systems and Information Engineering 2017~2020.

Internship

• FreakOut, inc. Engineer Internship, August 2015.

Technical Assistant

• AIST (Deep Learning, Data Analysis) 2016~2020.
• Department of Health Service Research, University of Tsukuba (Electronic Health Record, Database Construction, Data Analysis) 2018~2020.