Extractive Headline Generation Based on Learning to Rank for Community Question Answering. - Tatsuru Higurashi; Hayato Kobayashi; Takeshi Masuyama; Kazuma Murao (COLING, 2018)

Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System. - Akihiro Yoshida; Yosuke Yatsushiro; Nozomi Hata; Tatsuru Higurashi; Nariaki Tateiwa; Takashi Wakamatsu; Akira Tanaka; Kenichi Nagamatsu; Katsuki Fujisawa (IEEE BigData, 2019)

A Case Study on Neural Headline Generation for Editing Support. - Kazuma Murao; Ken Kobayashi; Hayato Kobayashi; Taichi Yatsuka; Takeshi Masuyama; Tatsuru Higurashi; Yoshimune Tabuchi (NAACL-HLT (2), 2019)

Context-Aware Authentication Using Co-Located Devices. - Hidehito Gomi; Shuji Yamaguchi; Wataru Ogami; Teruhiko Teraoka; Tatsuru Higurashi (TrustCom/BigDataSE, 2019)

Location YardStick: Calculation of the Location Data Value Depending on the Users' Context. - Kenta Kanamori; Kota Tsubouchi; Junichi Sato; Tatsuru Higurashi (IEEE BigData, 2020)

New Performance Index "Attractiveness Factor" for Evaluating Websites via Obtaining Transition of Users' Interests. - Akihiro Yoshida; Tatsuru Higurashi; Masaki Maruishi; Nariaki Tateiwa; Nozomi Hata; Akira Tanaka; Takashi Wakamatsu; Kenichi Nagamatsu; Akira Tajima; Katsuki Fujisawa (Data Sci. Eng., 2020)

ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from Users. - Yuki Maeda; Shuji Yamaguchi; Tatsuru Higurashi; Kota Tsubouchi (WSDM, 2021)

Development and Evaluation of Embedding Methods for Graphs with Multi Attributes. - Miyu Fujii; David Taingngin; Keiichiro Yamamura; Nozomi Hata; Hiroki Kai; Ryuji Noda; Hiroki Ishikura; Tatsuru Higurashi; Katsuki Fujisawa (IEEE Big Data, 2022)

Boosting Feedback: A Framework for Enhancing Ground Truth Data Collection. - Kota Tsubouchi; Shuji Yamaguchi; Tatsuru Higurashi (IEEE Big Data, 2023)