論文発表

ジャーナル論文
  • Chihiro Matsui, Ayumu Yamada, Naoko Misawa, and Ken Takeuchi, “ReRAM Resistance Design of LRS and HRS for Ultrahigh-Capacity Digital Memory and Analog Computation-in-Memory,” IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, vol.E109–A, no.3, March, 2026.

  • Daqi Lin, Tao Wang, Adil Padiyal, Naoko Misawa, Chihiro Matsui and Ken Takeuchi, “Signed Approximate Adder Tree and Quantization- and Bit-Pruning-Aware Training for Digital Computation-in-Memory,” IEICE Transactions on Electronics, vol. E108.C, no. 9 pp. 418-426, July 16, 2025.

  • Naoko Misawa, Tao Wang, Chihiro Matsui and Ken Takeuchi, “Quantization methodology for edge Transformer Hetero-CiM with SRAM CiM in self-attention and MLC ReRAM CiM in linear and FC layers,” Japanese Journal of Applied Physics (JJAP), vol. 64, pp. 071004, July 16, 2025.

  • Ayumu Nagai, Yuya Ichikawa, Chihiro Matsui and Ken Takeuchi, “Quantization tolerant network design and performance estimation of computation-in-memory for energy-efficient 3D object detection inference,” Japanese Journal of Applied Physics (JJAP), vol. 64, pp. 02SP09, February 4, 2025.

  • Fuyuki Kihara, Seiji Uenohara, Satoshi Awamura, Naoko Misawa, Chihiro Matsui and Ken Takeuchi, “4T2R X-ReRAM CiM Array for Variation-tolerant, Low-power, Massively Parallel MAC Operation,” arXiv:2507.13631, July 18, 2025.

  • Akira Goda, Chihiro Matsui and Ken Takeuchi, “Device and System Co-Design of Summing Network With Floating Gate-Based Stochastic Neurons,” IEEE Journal of the Electron Devices Society, December 16, 2024.

  • Yuya Ichikawa, Naoko Misawa, Chihiro Matsui and Ken Takeuchi, “RGB-Event Multi-modal NV-CiM to Detect Object by Mapping-Oriented Enhanced-Feature Pyramid Network with Mapping-Aware Group Convolution,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, September 5, 2024.

  • Fuyuki Kihara, Chihiro Matsui and Ken Takeuchi, “3D Parallel ReRAM Computation-in-Memory for Hyperdimensional Computing,” IEICE Transactions on Electronics Brief Letter, April 16, 2024.

  • Yuya Ichikawa, Ayumu Yamada, Naoko Misawa, Chihiro Matsui and Ken Takeuchi, “REM-CiM: Attentional RGB-Event Fusion Multi-modal Analog CiM for Area/Energy-efficient Edge Object Detection during both Day and Night,” IEICE Transactions on Electronics, April 9, 2024.

  • Ayumu Yamada, Zhiyuan Huang, Naoko Misawa, Chihiro Matsui and Ken Takeuchi, “Comprehensive Analysis of Read Fluctuations in ReRAM CiM by Using Fluctuation Pattern Classifier,” IEICE Transactions on Electronics, April 9, 2024.

  • Naoko Misawa, Ryuhei Yamaguchi, Ayumu Yamada, Tao Wang, Chihiro Matsui and Ken Takeuchi, “Design methodology of compact edge vision transformer CiM considering non-volatile memory bit precision and memory error tolerance,” Japanese Journal of Applied Physics (JJAP), vol. 63, pp. 03SP05, February 8, 2024.

  • Naoko Misawa, Shunsuke Koshino, Ruhui Liu, Chihiro Matsui and Ken Takeuchi, “Dual integration design of approximate random weight generator and computation-in-memory for event-based neuromorphic computing,” Japanese Journal of Applied Physics (JJAP), vol. 63, pp. 03SP83, March 11, 2024.

  • Kenshin Yamauchi, Ayumu Yamada, Naoko Misawa, Seong-Kun Cho, Kasidit Toprasertpong , Shinichi Takagi, Chihiro Matsui and Ken Takeuchi, “Co-design of SLC/MLC FeFET-based highly error-tolerant low-power CiM and strong lottery ticket hypothesis-based algorithm,” Japanese Journal of Applied Physics (JJAP), vol. 63, pp. , 04SP06, March 20, 2024.

  • Adil Padiyal, Ayumu Yamada, Naoko Misawa, Chihiro Matsui and Ken Takeuchi, “Assessment of inference accuracy and memory capacity of computation-in-memory enabled neural network due to quantized weights, gradients, input and output signals, and memory non-idealities,” Japanese Journal of Applied Physics (JJAP), vol. 63, pp. 04SP15, March 21, 2024.

  • Akira Goda, Chihiro Matsui and Ken Takeuchi, “Stochastic Resonance Modeling of Floating Gate-based Neurons in Summing Networks for Accurate and Energy Efficient Operations,” IEEE Transactions on Electron Devices, vol. 71, no. 3, pp. 1737-1744, January 29, 2024.

  • Chihiro Matsui, Kasidit Toprasertpong, Shinichi Takagi and Ken Takeuchi, “FeFET Local Multiply and Global Accumulate Voltage-sensing Computation-in-Memory Circuit Design for Neuromorphic Computing,” IEEE Transactions on VLSI Systems, December 2023.

  • Kasidit Toprasertpong, Chihiro Matsui, Mitsuru Takenaka, Ken Takeuchi and Shinichi Takagi, “Ferroelectric source follower for voltage-sensing nonvolatile memory and computing-in-memory,” Journal of Physics D: Applied Physics, vol. 56, no. 46, August 23, 2023.

  • Shinsei Yoshikiyo, Naoko Misawa, Kasidit Toprasertpong, Shinichi Takagi, Chihiro Matsui and Ken Takeuchi, “Write Variation & Reliability Error Compensation by Layer-wise Tunable Retraining of Edge FeFET LM-GA CiM,” IEICE Transactions on Electronics, vol. E106-C, no. 7, pp. 352-364, July, 2023.

  • Chihiro Matsui, Eitaro Kobayashi, Naoko Misawa and Ken Takeuchi, “Comprehensive analysis on error-robustness of FeFET computation-in-memory for hyperdimensional computing,” Japanese Journal of Applied Physics (JJAP), vol. 62, pp. SC1053, February 6, 2023.

  • Kazuhide Higuchi, Tomoki Kobayashi, Naoko Misawa, Chihiro Matsui and Ken Takeuchi, “Tiny and error-tolerant ConvLSTM for event-based vision sensor with optimized event representation and ReRAM computation-in-memory,” Japanese Journal of Applied Physics (JJAP), vol. 62, pp. SC1068, February 14, 2023.

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