"Satoru Jimbo,Daiki Okonogi,Kota Ando,Thiem Van Chu,Jaehoon Yu,Masato Motomura,Kazushi Kawamura","A Hybrid Integer Encoding Method for Obtaining High-quality Solutions of Quadratic Knapsack Problems on Solid-state Annealers",,"IEICE Transactions on Information and Systems",,"Vol. E105-D","No. 12",,2022,Dec.
"Yasuyuki Okoshi,Angel Lopez Garcia-Arias,Kazutoshi Hirose,Kota Ando,Kazushi Kawamura,Thiem Van Chu,Masato Motomura,Jaehoon Yu","Multicoated Supermasks Enhance Hidden Networks","International Conference on Machine Learning",,,,,,2022,July
"Kazutoshi Hirose,Jaehoon Yu,Kota Ando,Yasuyuki Okoshi,Angel Lopez Garcia-Arias,Junnosuke Suzuki,Thiem Van Chu,Kazushi Kawamura,Masato Motomura","Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting On-Chip Model Construction Achieving 34.8-to-16.0TOPS/W for CIFAR-100 and ImageNet",,"International Solid-State Circuits Conference",,,,,2022,Feb.
"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.
"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.
"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
"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
"Junnosuke Suzuki,Kota Ando,Kazutoshi Hirose,Kazushi Kawamura,Thiem Van Chu,Masato Motomura,Jaehoon Yu","ProgressiveNN: Achieving Computational Scalability without Network Alteration by MSB-first Accumulative Computation","International Symposium on Computing and Networking (CANDAR)",,,,,,2020,Nov.
"Shungo Kumazawa,Kazushi Kawamura,Thiem Van Chu,Masato Motomura,Jaehoon Yu","ExtraFerns: Fully Parallel Ensemble Learning Technique with Non-Greedy yet Minimal Memory Access Training","International Symposium on Computing and Networking (CANDAR)",,,,,,2020,Nov.