| CMOS supporting circuitries for nano-oscillator-based associative memories T Shibata, R Zhang, SP Levitan, DE Nikonov, GI Bourianoff 2012 13th International Workshop on Cellular Nanoscale Networks and their …, 2012 | 75 | 2012 |
| Training low-latency spiking neural network through knowledge distillation S Takuya, R Zhang, Y Nakashima 2021 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS), 1-3, 2021 | 30 | 2021 |
| Design of programmable analog calculation unit by implementing support vector regression for approximate computing R Zhang, N Uetake, T Nakada, Y Nakashima IEEE Micro 38 (6), 73-82, 2018 | 25 | 2018 |
| Fully parallel self-learning analog support vector machine employing compact gaussian generation circuits R Zhang, T Shibata Japanese Journal of Applied Physics 51 (4S), 04DE10, 2012 | 24 | 2012 |
| A low voltage CMOS rectifier for wirelessly powered devices Q Li, R Zhang, Z Huang, Y Inoue Proceedings of 2010 IEEE International Symposium on Circuits and Systems …, 2010 | 24 | 2010 |
| An analog on-line-learning K-means processor employing fully parallel self-converging circuitry R Zhang, T Shibata Analog Integrated Circuits and Signal Processing 75, 267-277, 2013 | 22 | 2013 |
| STT-BSNN: An in-memory deep binary spiking neural network based on STT-MRAM VT Nguyen, QK Trinh, R Zhang, Y Nakashima IEEE Access 9, 151373-151385, 2021 | 17 | 2021 |
| A low breakdown-voltage charge pump based on Cockcroft-Walton structure R Zhang, Z Huang, Y Inoue 2009 IEEE 8th International Conference on ASIC, 328-331, 2009 | 16 | 2009 |
| Multi-tier platform for cognizing massive electroencephalogram Z Chen, L Zhu, Z Yang, R Zhang arXiv preprint arXiv:2204.09840, 2022 | 12 | 2022 |
| Daisy-chained systolic array and reconfigurable memory space for narrow memory bandwidth J Iwamoto, Y Kikutani, R Zhang, Y Nakashima IEICE TRANSACTIONS on Information and Systems 103 (3), 578-589, 2020 | 12 | 2020 |
| Robust and low-power digitally programmable delay element designs employing neuron-MOS mechanism R Zhang, M Kaneko ACM Transactions on Design Automation of Electronic Systems (TODAES) 20 (4 …, 2015 | 12 | 2015 |
| A multi-grained reconfigurable accelerator for approximate computing Y Kan, M Wu, R Zhang, Y Nakashima 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 90-95, 2020 | 11 | 2020 |
| A vlsi hardware implementation study of svdd algorithm using analog gaussian-cell array for on-chip learning R Zhang, T Shibata 2012 13th International Workshop on Cellular Nanoscale Networks and their …, 2012 | 11 | 2012 |
| A transformer-based spatial-temporal sleep staging model through raw EEG G Shi, Z Chen, R Zhang 2021 International Conference on High Performance Big Data and Intelligent …, 2021 | 10 | 2021 |
| A 16-valued logic FPGA architecture employing analog memory circuit R Zhang, M Kaneko 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 718-721, 2016 | 9 | 2016 |
| A memcapacitive spiking neural network with circuit nonlinearity-aware training R Oshio, T Sugahara, A Sawada, M Kimura, R Zhang, Y Nakashima 2022 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS), 1-6, 2022 | 7 | 2022 |
| MuGRA: A scalable multi-grained reconfigurable accelerator powered by elastic neural network Y Kan, M Wu, R Zhang, Y Nakashima IEEE Transactions on Circuits and Systems I: Regular Papers 69 (1), 258-271, 2021 | 7 | 2021 |
| A programmable calculation unit employing memcapacitor-based neuromorphic circuit Y Chen, J Zhang, Y Zhang, R Zhang, M Kimura, Y Nakashima 2019 17th IEEE International New Circuits and Systems Conference (NEWCAS), 1-4, 2019 | 7 | 2019 |
| Adaptive spike-like representation of eeg signals for sleep stages scoring L Zhu, Z Yang, K Odani, G Shi, Y Kan, Z Chen, R Zhang 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 6 | 2022 |
| An efficient ReRAM-based inference accelerator for convolutional neural networks via activation reuse Y Chen, J Zhang, Y Xu, Y Zhang, R Zhang, Y Nakashima IEICE Electronics Express 16 (18), 20190396-20190396, 2019 | 5 | 2019 |
