"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",,,,,,2021,Dec.
"Angel Lopez Garcia-Arias,Masanori Hashimoto,Masato Motomura,Jaehoon Yu","Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks","The British Machine Vision Conference",,,,,,2021,Nov.
"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",,,,,,2021,Aug.
"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",,,,,2021,July
"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",,,,,2021,July
"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)",,,,,,2021,Feb.
"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",2021,Jan.