A block segmentation method for document images with complicated column structures. - Yuki Hirayama (ICDAR, 1993)

A method for table structure analysis using DP matching. - Yuki Hirayama (ICDAR, 1995)

Analyzing form images by using line-shared-adjacent cell relations. - Yuki Hirayama (ICPR, 1996)

A document recognition system and its applications. - Akio Yamashita; Tomio Amano; Yuki Hirayama; Nobuyasu Itoh; Shin Katoh; Takashi Mano; Kazuharu Toyokawa (IBM J. Res. Dev., 1996)

A Framework for Forms Processing using Enhanced-Line-Shared-Adjacent Format. - Yuki Hirayama (ICDAR, 1999)

A Resource-Efficient Weight Sampling Method for Bayesian Neural Network Accelerators. - Yuki Hirayama; Tetsuya Asai; Masato Motomura; Shinya Takamaeda-Yamazaki (CANDAR, 2019)

A Hardware-efficient Weight Sampling Circuit for Bayesian Neural Networks. - Yuki Hirayama; Tetsuya Asai; Masato Motomura; Shinya Takamaeda (Int. J. Netw. Comput., 2020)

MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity. - Yuki Hirayama; Shinya Takamaeda-Yamazaki (CoRR, 2022)

Enhancing Indoor Altitude Estimation on Smartphones: Resolving Ventilation Fan Effects. - Kota Tsubouchi; Yuki Hirayama; Takuzo Ikuta; Nobuhiko Nishio (IPIN, 2023)

GeMP-BNN: High-Performance Sampling-Free Bayesian Neural Network Accelerator with Gaussian Error Moment Propagation. - Yuki Hirayama; Kengo Suga; Shinya Takamaeda-Yamazaki (MCSoC, 2023)

State and Transition Recognition of Ventilation-induced Barometric Disturbance during Indoor Altitude Estimation. - Yuki Hirayama; Takuzo Ikuta; Kota Tsubouchi; Nobuhiko Nishio (IPIN, 2024)

Scalable Moment Propagation and Analysis of Variational Distributions for Practical Bayesian Deep Learning. - Yuki Hirayama; Shinya Takamaeda-Yamazaki (IEEE Trans. Neural Networks Learn. Syst., 2025)