Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations. - Hiroyoshi Ito; Toshiyuki Amagasa; Hiroyuki Kitagawa (EJC, 2016)

Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs. - Hiroyoshi Ito; Takahiro Komamizu; Toshiyuki Amagasa; Hiroyuki Kitagawa (EDBT/ICDT Workshops, 2018)

Network-Word Embedding for Dynamic Text Attributed Networks. - Hiroyoshi Ito; Takahiro Komamizu; Toshiyuki Amagasa; Hiroyuki Kitagawa (ICSC, 2018)

Class Name Recommendation Based on Graph Embedding of Program Elements. - Shintaro Kurimoto; Yasuhiro Hayase; Hiroshi Yonai; Hiroyoshi Ito; Hiroyuki Kitagawa (APSEC, 2019)

An Optimization Scheme for Non-Negative Matrix Factorization Under Probability Constraints. - Hiroyoshi Ito; Toshiyuki Amagasa (BigComp, 2019)

Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs. - Hiroyoshi Ito; Takahiro Komamizu; Toshiyuki Amagasa; Hiroyuki Kitagawa (IEICE Trans. Inf. Syst., 2019)

A System for Worldwide COVID-19 Information Aggregation. - Akiko Aizawa; Frédéric Bergéron; Junjie Chen; Fei Cheng 002; Katsuhiko Hayashi 001; Kentaro Inui; Hiroyoshi Ito; Daisuke Kawahara; Masaru Kitsuregawa; Hirokazu Kiyomaru; Masaki Kobayashi; Takashi Kodama; et al. (NLP4COVID@EMNLP, 2020)

Computational Division of Labor with Human and AI Workers. - Atsuyuki Morishima; Masaki Matsubara; Kei Wakabayashi; Nobutaka Suzuki; Hiroyoshi Ito (IEEE Data Eng. Bull., 2020)

A Skill-based Worksharing Approach for Microtask Assignment. - Kanta Negishi; Hiroyoshi Ito; Masaki Matsubara; Atsuyuki Morishima (IEEE BigData, 2021)

BUBBLE : A Quality-Aware Human-in-the-loop Entity Matching Framework. - Naofumi Osawa; Hiroyoshi Ito; Yukihiro Fukushima; Takashi Harada; Atsuyuki Morishima (IEEE BigData, 2021)

Efficient Evaluation of AI Workers for the Human+AI Crowd Task Assignment. - Tomoya Kanda; Hiroyoshi Ito; Atsuyuki Morishima (IEEE Big Data, 2022)

Multi-Armed Bandit Approach to Qualification Task Assignment across Multi Crowdsourcing Platforms. - Yunyi Xiao; Yu Yamashita; Hiroyoshi Ito; Masaki Matsubara; Atsuyuki Morishima (IEEE Big Data, 2022)

Bibrecord-Based Literature Management with Interactive Latent Space Learning. - Shingo Watanabe; Hiroyoshi Ito; Masaki Matsubara; Atsuyuki Morishima (ICADL, 2022)

DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks. - Hiroyoshi Ito; Christos Faloutsos (SDM, 2022)

HAEM: Obtaining Higher-Quality Classification Task Results with AI Workers. - Yu Yamashita; Hiroyoshi Ito; Kei Wakabayashi; Masaki Kobayashi; Atsuyuki Morishima (WebSci, 2022)

Effects of Increasing Working Opportunity on Result Quality in Labor-Intensive Crowdsourcing. - Kanta Negishi; Hiroyoshi Ito; Masaki Matsubara; Atsuyuki Morishima (iConference (1), 2023)

Hybrid Crowd-AI Learning for Human-Interpretable Symbolic Rules in Image Classification. - Ayame Shimizu; Kei Wakabayashi; Masaki Matsubara; Hiroyoshi Ito; Atsuyuki Morishima (IIAI-AAI, 2023)

Metadata-Assisted Topic Modeling for Patent Analysis. - Reon Nakamura; Hiroyoshi Ito; Atsuyuki Morishima (ICADL (2), 2024)

Influence of AI's Uncertainty in the Dawid-Skene Aggregation for Human-AI Crowdsourcing. - Takumi Tamura; Hiroyoshi Ito; Satoshi Oyama; Atsuyuki Morishima (iConference (3), 2024)

NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features. - Kentaro Miyake; Hiroyoshi Ito; Christos Faloutsos; Hirotomo Matsumoto; Atsuyuki Morishima (WWW, 2024)

Phrase-Level Topic Modeling Based on Joint Embedding Space of Words, Phrases and Documents. - Zikai Zhou; Kei Wakabayashi; Hiroyoshi Ito (J. Inf. Process., 2024)

Human-in-the-loop latent space learning for biblio-record-based literature management. - Shingo Watanabe; Hiroyoshi Ito; Masaki Matsubara; Atsuyuki Morishima (Int. J. Digit. Libr., 2024)

Inconsistency-driven approach for human-in-the-loop entity matching. - Hiroyoshi Ito; Takahiro Koizumi; Ryuji Yoshimoto; Yukihiro Fukushima; Takashi Harada; Atsuyuki Morishima (Inf. Res., 2025)