Kazutoshi Hirose

17 papers A* 1C 1Journal 4Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Accelerating Multi-Modal Radio Frequency Fingerprinting by Efficient Early Fusion. VTC2025-Spring Kazutoshi Hirose, Seiya Shibata, Taichi Ohtsuji, Takashi Takenaka
2022	—	`conf`	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. ISSCC Kazutoshi Hirose, Jaehoon Yu, Kota Ando, Yasuyuki Okoshi, Ángel López García-Arias, Junnosuke Suzuki, Thiem Van Chu, Kazushi Kawamura, Masato Motomura
2022	A*	`conf`	Multicoated Supermasks Enhance Hidden Networks. ICML Yasuyuki Okoshi, Ángel López García-Arias, Kazutoshi Hirose, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu
2021	—	`conf`	Edge Inference Engine for Deep & Random Sparse Neural Networks with 4-bit Cartesian-Product MAC Array and Pipelined Activation Aligner. HCS Kota Ando, Jaehoon Yu, Kazutoshi Hirose, Hiroki Nakahara, Kazushi Kawamura, Thiem Van Chu, Masato Motomura
2021	J	`jnl`	ProgressiveNN: Achieving Computational Scalability with Dynamic Bit-Precision Adjustment by MSB-first Accumulative Computation. Int. J. Netw. Comput. Junnosuke Suzuki, Tomohiro Kaneko, Kota Ando, Kazutoshi Hirose, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu
2021	J	`jnl`	Selective Fine-Tuning on a Classifier Ensemble: Realizing Adaptive Neural Networks With a Diversified Multi-Exit Architecture. IEEE Access Kazutoshi Hirose, Shinya Takamaeda-Yamazaki, Jaehoon Yu, Masato Motomura
2020	C	`conf`	A 3D-Stacked SRAM using Inductive Coupling with Low-Voltage Transmitter and 12: 1 SerDes. ISCAS Kota Shiba, Tatsuo Omori, Kodai Ueyoshi, Kota Ando, Kazutoshi Hirose, Shinya Takamaeda-Yamazaki, Masato Motomura, Mototsugu Hamada, Tadahiro Kuroda
2020	—	`conf`	ProgressiveNN: Achieving Computational Scalability without Network Alteration by MSB-first Accumulative Computation. CANDAR Junnosuke Suzuki, Kota Ando, Kazutoshi Hirose, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu
2019	J	`jnl`	Dither NN: Hardware/Algorithm Co-Design for Accurate Quantized Neural Networks. IEICE Trans. Inf. Syst. Kota Ando, Kodai Ueyoshi, Yuka Oba, Kazutoshi Hirose, Ryota Uematsu, Takumi Kudo, Masayuki Ikebe, Tetsuya Asai, Shinya Takamaeda-Yamazaki, Masato Motomura
2019	J	`jnl`	QUEST: Multi-Purpose Log-Quantized DNN Inference Engine Stacked on 96-MB 3-D SRAM Using Inductive Coupling Technology in 40-nm CMOS. IEEE J. Solid State Circuits Kodai Ueyoshi, Kota Ando, Kazutoshi Hirose, Shinya Takamaeda-Yamazaki, Mototsugu Hamada, Tadahiro Kuroda, Masato Motomura
2018	—	`conf`	Area and Energy Optimization for Bit-Serial Log-Quantized DNN Accelerator with Shared Accumulators. MCSoC Takumi Kudo, Kodai Ueyoshi, Kota Ando, Kazutoshi Hirose, Ryota Uematsu, Yuka Oba, Masayuki Ikebe, Tetsuya Asai, Masato Motomura, Shinya Takamaeda-Yamazaki
2018	—	`conf`	Dither NN: An Accurate Neural Network with Dithering for Low Bit-Precision Hardware. FPT Kota Ando, Kodai Ueyoshi, Yuka Oba, Kazutoshi Hirose, Ryota Uematsu, Takumi Kudo, Masayuki Ikebe, Tetsuya Asai, Shinya Takamaeda-Yamazaki, Masato Motomura
2018	—	`conf`	QUEST: A 7.49TOPS multi-purpose log-quantized DNN inference engine stacked on 96MB 3D SRAM using inductive-coupling technology in 40nm CMOS. ISSCC Kodai Ueyoshi, Kota Ando, Kazutoshi Hirose, Shinya Takamaeda-Yamazaki, Junichiro Kadomoto, Tomoki Miyata, Mototsugu Hamada, Tadahiro Kuroda, Masato Motomura
2017	—	`conf`	Accelerating deep learning by binarized hardware. APSIPA Shinya Takamaeda-Yamazaki, Kodai Ueyoshi, Kota Ando, Ryota Uematsu, Kazutoshi Hirose, Masayuki Ikebe, Tetsuya Asai, Masato Motomura
2017	—	`conf`	In-memory area-efficient signal streaming processor design for binary neural networks. MWSCAS Haruyoshi Yonekawa, Shimpei Sato, Hiroki Nakahara, Kota Ando, Kodai Ueyoshi, Kazutoshi Hirose, Kentaro Orimo, Shinya Takamaeda-Yamazaki, Masayuki Ikebe, Tetsuya Asai, Masato Motomura
2017	—	`conf`	Logarithmic Compression for Memory Footprint Reduction in Neural Network Training. CANDAR Kazutoshi Hirose, Ryota Uematsu, Kota Ando, Kentaro Orimo, Kodai Ueyoshi, Masayuki Ikebe, Tetsuya Asai, Shinya Takamaeda-Yamazaki, Masato Motomura
2017	—	`conf`	Quantization Error-Based Regularization in Neural Networks. SGAI Conf. Kazutoshi Hirose, Kota Ando, Kodai Ueyoshi, Masayuki Ikebe, Tetsuya Asai, Masato Motomura, Shinya Takamaeda-Yamazaki