Farming Robots. - Junichi Sato (J. Robotics Mechatronics, 1997)

Fine-grained social relationship extraction from real activity data under coarse supervision. - Kota Tsubouchi; Osamu Saisho; Junichi Sato; Seira Araki; Masamichi Shimosaka (ISWC, 2015)

Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction. - Masamichi Shimosaka; Junichi Sato; Kazuhito Takenaka; Kentarou Hitomi (AAAI, 2017)

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

MOIRE: Mixed-Order Poisson Regression towards Fine-grained Urban Anomaly Detection at Nationwide Scale. - Masamichi Shimosaka; Kota Tsubouchi; Yanru Chen; Yoshiaki Ishihara; Junichi Sato (IEEE BigData, 2020)

13.5 A 128Gb 1b/Cell 96-Word-Line-Layer 3D Flash Memory to Improve Random Read Latency with tPROG=75µs and tR=4µs. - Toshiyuki Kouchi; Noriyasu Kumazaki; Masashi Yamaoka; Sanad Bushnaq; Takuyo Kodama; Yuki Ishizaki; Yoko Deguchi; Akio Sugahara; Akihiro Imamoto; Norichika Asaoka; Ryosuke Isomura; Takaya Handa; et al. (ISSCC, 2020)

A 128Gb 1-bit/Cell 96-Word-Line-Layer 3D Flash Memory to Improve the Random Read Latency With tProg = 75 μs and tR = 4 μs. - Toshiyuki Kouchi; Mami Kakoi; Noriyasu Kumazaki; Akio Sugahara; Akihiro Imamoto; Yasufumi Kajiyama; Yuri Terada; Sanad Bushnaq; Naoaki Kanagawa; Takuyo Kodama; Ryo Fukuda; Hiromitsu Komai; et al. (IEEE J. Solid State Circuits, 2021)

Predicting Touch Accuracy for Rectangular Targets by Using One-Dimensional Task Results. - Hiroki Usuba; Shota Yamanaka; Junichi Sato; Homei Miyashita (Proc. ACM Hum. Comput. Interact., 2022)

Single-tap Latency Reduction with Single- or Double- tap Prediction. - Naoto Nishida; Kaori Ikematsu; Junichi Sato; Shota Yamanaka; Kota Tsubouchi (Proc. ACM Hum. Comput. Interact., 2023)

Clarifying the Effect of Edge Targets in Touch Pointing through Crowdsourced Experiments. - Hiroki Usuba; Shota Yamanaka; Junichi Sato (Proc. ACM Hum. Comput. Interact., 2023)

Behavioral Differences between Tap and Swipe: Observations on Time, Error, Touch-point Distribution, and Trajectory for Tap-and-swipe Enabled Targets. - Shota Yamanaka; Hiroki Usuba; Junichi Sato (CHI, 2024)

Tappy: Predicting Tap Accuracy of User-Interface Elements by Reverse-Engineering Webpage Structures. - Hiroki Usuba; Junichi Sato; Naomi Sasaya; Shota Yamanaka; Fumiya Yamashita (CoRR, 2024)

Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging. - Ryota Tozuka; Hisashi Johno; Akitomo Amakawa; Junichi Sato; Mizuki Muto; Shoichiro Seki; Atsushi Komaba; Hiroshi Onishi (CoRR, 2024)

Tappy Plugin for Figma: Predicting Tap Success Rates of User-Interface Elements under Development for Smartphones. - Shota Yamanaka; Hiroki Usuba; Junichi Sato; Naomi Sasaya; Fumiya Yamashita; Shuji Yamaguchi (CoRR, 2024)

Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation. - Hisashi Johno; Yuki Johno; Akitomo Amakawa; Junichi Sato; Ryota Tozuka; Atsushi Komaba; Hiroaki Watanabe; Hiroki Watanabe; Chihiro Goto; Hiroyuki Morisaka; Hiroshi Onishi; Kazunori Nakamoto (CoRR, 2025)