論文

• Shungo Kumazawa, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu. ExtraFerns: Fully Parallel Ensemble Learning Technique with Random Projection and Non-Greedy yet Minimal Memory Access Training, International Journal of Networking and Computing, July 2021.
• Junnosuke Suzuki, Tomohiro Kaneko, Kota Ando, Kazutoshi Hirose, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu. ProgressiveNN: Achieving Computational Scalability with Dynamic Bit-Precision Adjustment by MSB-first Accumulative Computation, International Journal of Networking and Computing, July 2021.
• Kazutoshi Hirose, Shinya Takamaeda-Yamazaki, Jaehoon Yu, Masato Motomura. Selective Fine-Tuning on a Classifier Ensemble: Realizing Adaptive Neural Networks With a Diversified Multi-Exit Architecture, IEEE Access, Vol. 9, pp. 6179-6187, Jan. 2021.

国際会議発表 (査読有り)

• Thiem Van Chu, Ryuichi Kitajima, Kazushi Kawamura, Jaehoon Yu, Masato Motomura. A High-Performance and Flexible FPGA Inference Accelerator for Decision Forests Based on Prior Feature Space Partitioning, International Conference on Field-Programmable Technology, Dec. 2021.
• Angel Lopez Garcia-Arias, Masanori Hashimoto, Masato Motomura, Jaehoon Yu. Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks, The British Machine Vision Conference, Nov. 2021.
• Kota Ando, Jaehoon Yu, Kazutoshi Hirose, Hiroki Nakahara, Kazushi Kawamura, Thiem Van Chu, Masato Motomura. Edge Inference Engine for Deep & Random Sparse Neural Networks with 4-bit Cartesian-Product MAC Array and Pipelined Activation Aligner, Hot Chips, Aug. 2021.
• Takashi Imagawa, Jaehoon Yu, Masanori Hashimoto, Hiroyuki Ochi. MUX Granularity Oriented Iterative Technology Mapping for Implementing Compute-Intensive Applications on Via-Switch FPGA, Design, Automation and Test in Europe Conference (DATE), Feb. 2021.

特許など

• 本村真人, 劉載勲. ニューラルネットワーク回路装置. 特許. 公開. 国立大学法人東京工業大学. 2021/11/26. 特願2021-192336. 2023/06/07. 特開2023-078975. 2023.

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