Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing. - Akihiko Kasagi; Masahiro Asaoka; Akihiro Tabuchi; Yosuke Oyama; Takumi Honda; Yasufumi Sakai; Thang Dang; Tsuguchika Tabaru (CANDAR, 2021)

Regularizing Data for Improving Execution Time of NLP Model. - Thang Dang; Yasufumi Sakai; Tsuguchika Tabaru; Akihiko Kasagi (FLAIRS, 2022)

Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks. - Yasufumi Sakai; Thang Dang; Shigeki Fukuta; Koichi Shirahata; Atsushi Ishikawa; Atsuki Inoue; Hiroshi Kawaguchi 001; Árni Björn Höskuldsson; Egill Skúlason (INNS DLIA@IJCNN, 2023)

Active Learning for Graph Neural Networks Training in Catalyst Energy Prediction. - Yasufumi Sakai; Naoki Matsumura; Atsuki Inoue; Hiroshi Kawaguchi 001; Thang Dang; Atsushi Ishikawa; Árni Björn Höskuldsson; Egill Skúlason (IJCNN, 2024)