Building Thermal Performance Assessments Using Simple Sensors for the Green New Deal in Japan. - Yuiko Sakuma; Yusuke Nakajo; Hiroaki Nishi (ISIE, 2018)

Exploring Variability in IoT Data for Human Activity Recognition. - Yuiko Sakuma; Sofia Kleisarchaki; Levent Gürgen; Hiroaki Nishi (IECON, 2019)

Implementation of Content-Based Anonymization Edge Router on NetFPGA. - Akihiro Fukuhara; Tomomu Iwai; Yuiko Sakuma; Hiroaki Nishi (MCSoC, 2019)

Trajectory Anonymization through Laplace Noise Addition in Latent Space. - Yuiko Sakuma; Thai P. Tran; Tomomu Iwai; Akihito Nishikawa; Hiroaki Nishi (CANDAR, 2021)

Recommendation System for Energy Consumption Behavior Change on Residents' Response and Stress. - Yuki Takayama; Yuiko Sakuma; Hiroaki Nishi (IECON, 2021)

Air-Conditioning Control with Spatial Recognition Using Stereo Infrared Array Sensors. - Yuki Takayama; Saki Saito; Yuiko Sakuma; Hiroaki Nishi (IECON, 2021)

n-hot: Efficient bit-level sparsity for powers-of-two neural network quantization. - Yuiko Sakuma; Hiroshi Sumihiro; Jun Nishikawa; Toshiki Nakamura; Ryoji Ikegaya (CoRR, 2021)

Face-Image Anonymization as an Application of Multidimensional Data k-anonymizer. - Taichi Nakamura; Yuiko Sakuma; Hiroaki Nishi (Int. J. Netw. Comput., 2021)

Hierarchical Multiobjective Distributed Deep Learning for Residential Short-Term Electric Load Forecasting. - Yuiko Sakuma; Hiroaki Nishi (IEEE Access, 2022)

DetOFA: Efficient Training of Once-for-All Networks for Object Detection using Path Filter. - Yuiko Sakuma; Masato Ishii; Takuya Narihira (ICCV (Workshops), 2023)

DetOFA: Efficient Training of Once-for-All Networks for Object Detection by Using Pre-trained Supernet and Path Filter. - Yuiko Sakuma; Masato Ishii; Takuya Narihira (CoRR, 2023)

Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion. - Hiromichi Kamata; Yuiko Sakuma; Akio Hayakawa; Masato Ishii; Takuya Narihira (CoRR, 2023)

Mixed-precision Supernet Training from Vision Foundation Models using Low Rank Adapter. - Yuiko Sakuma; Masakazu Yoshimura; Junji Otsuka; Atsushi Irie; Takeshi Ohashi 002 (CoRR, 2024)