論文

• 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, Dec. 2022.
• Masanori Hashimoto, X Bai, Naoki Banno, Munehiro Tada, Toshitsugu Sakamoto, Jaehoon Yu, Ryutaro Doi, Hidetoshi Onodera, Takashi Imagawa, Hiroyuki Ochi. Via-switch FPGA with transistor-free programmability enabling energy-efficient near-memory parallel computation, Japanese Journal of Applied Physics, Apr. 2022.
• 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, Feb. 2022.
• 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, July 2021.
• 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, July 2021.
• 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, Jan. 2021.
• Ryutaro Doi, Jaehoon Yu, Masanori Hashimoto. Sneak Path Free Reconfiguration with Minimized Programming Steps for Via-switch Crossbar Based FPGA, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 10, pp. 2572-2587, Oct. 2020.
• TaiYu Cheng, Yukata Masuda, Jun Chen, Jaehoon Yu, Masanori Hashimoto. Logarithm-approximate floating-point multiplier is applicable to power-efficient neural network training, Vol. 74, pp. 19-31, May 2020.
• Salita Sombatsiri, Seiya Shibata, Yuki Kobayashi, Hiroaki Inoue, Takashi Takenaka, Takeo Hosomi, Jaehoon Yu, Yoshinori Takeuchi. Parallelism-flexible Convolution Core for Sparse Convolutional Neural Networks on FPGA, IPSJ Transactions on System LSI Design Methodology, Feb. 2019.

国際会議発表 (査読有り)

• Masafumi Tanaka, Jaehoon Yu, Masaki Nakagawa, Naoya Tate, Masanori Hashimoto. Investigating Small Device Implementation of FRET-based Optical Reservoir Computing, MWSCAS, Aug. 2022.
• 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, July 2022.
• Satida Sookpong, Satida Sookpong, Teerasit Kasetkasem, Teera Phatrapornnant, Jaehoon Yu. A Unhealthy Plant Identification System Using a Generative Adversarial Network, ECTI-CON, May 2022.
• 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, Dec. 2021.
• Angel Lopez Garcia-Arias, Masanori Hashimoto, Masato Motomura, Jaehoon Yu. Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks, The British Machine Vision Conference, Nov. 2021.
• 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, Aug. 2021.
• 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), Feb. 2021.
• 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), Nov. 2020.
• 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), Nov. 2020.
• Ángel López García-Arias, Jaehoon Yu, Masanori Hashimoto. Low-Cost Reservoir Computing using Cellular Automata and Random Forests, 2020 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, Oct. 2020.
• Kazuki Onishi, Jaehoon Yu, Masanori Hashimoto. Memory Efficient Training using Lookup-Table-based Quantization for Neural Network, IEEE International Conference on Artificial Intelligence Circuits and Systems, Sept. 2020.
• M Hashimoto, X Bai, N Banno, M Tada, T Sakamoto, J Yu, R Doi, Y Araki, H Onodera, T Imagawa, H Ochi, K Wakabayashi, Y Mitsuyama, T Sugibayashi. Via-Switch FPGA: 65nm CMOS Implementation and Architecture Extension for AI Applications, International Solid-State Circuits Conference, pp. 502-503, Feb. 2020.
• Shota Fukui, Jaehoon Yu, Masanori Hashimoto. Distilling Knowledge for Non-Neural Networks, Asia-Pacific Signal and Information Processing Association, pp. 1411-1416, Nov. 2019.
• Toranosuke Tanio, Kouya Takeda, Jaehoon Yu, Masanori Hashimoto. Training Data Reduction using Support Vectors for Neural Networks, Asia-Pacific Signal and Information Processing Association, APSIPA, pp. 1405-1410, Nov. 2019.
• Cheng TaiYu, Jaehoon Yu, Masanori Hashimoto. Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier, International Symposium on Power and Timing Modeling, Optimization and Simulation, pp. 91-96, July 2019.
• Jaehoon Yu. Interconnect Delay Analysis for RRAM Crossbar Based FPGA, 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 522-527, July 2018.

国内会議発表 (査読なし・不明)

• 劉 載勲. データ再利用性を考慮した高効率CNN推論アーキテクチャ, 情報処理学会第84回全国大会, Apr. 2022.

その他の論文・著書など

• 劉 載勲. ランダム・スパース・ストカスティック-新しい計算の形を目指して-, 情報処理, Vol. 63, No. 3, pp. e31-e37, Mar. 2022.

特許など

• 本村真人, 劉載勲. ニューラルネットワーク回路装置. 特許. 公開. 国立大学法人東京工業大学. 2021/11/26. 特願2021-192336. 2023/06/07. 特開2023-078975. 2023.

[ BibTeX 形式で保存 ]    [ 論文・著書をCSV形式で保存 ]    [ 特許をCSV形式で保存 ]