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所属機関・部署：
論文 (16件)：
MISC (30件)：
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京都大学
京都大学 について
論文 (16件)：
- Tianchen Wang, Jiawei Zhang, Jinjun Xiong, Song Bian, Zheyu Yan, Meiping Huang, Jian Zhuang, Takashi Sato, Yiyu Shi, Xiaowei Xu. VisualNet: An end-to-end human visual system inspired framework to reduce inference latency of deep neural networks. IEEE Transactions on Computers. 2022
- Shumpei Morita, Song Bian, Michihiro Shintani, Takashi Sato. Efficient analysis and mitigation of workload-dependent aging degradation. IEEE Transactions on Computer-Aided Design (TCAD). 2022. 1-1
- Song Bian, Weiwen Jiang, Takashi Sato. Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment. Proceedings - Design Automation Conference. 2021. 2021-. 1347-1350
- Hiroki Tsukamoto, Song Bian, Takashi Sato. Statistical Device Modeling with Arbitrary Model-Parameter Distribution via Markov Chain Monte Carlo. International Conference on Simulation of Semiconductor Processes and Devices, SISPAD. 2021. 2021-. 192-196
- Takashi Sato, Yuki Tanaka, Song Bian. Clonable PUF: On the design of PUFs that share equivalent responses. Proc. IEEE International Symposium on Circuits and Systems (ISCAS). 2021
- A. Dan, R. Shimizu, T. Nishikawa, S. Bian, T. Sato. Clustering Approach for Solving Traveling Salesman Problems via Ising Model Based Solver. ACM/IEEE Design Automation Conference (DAC). 2020
- S. Bian, T. Wang, M. Hiromoto, Y. Shi, T. Sato. ENSEI: Efficient Secure Inference via Frequency-domain Homomorphic Convolution for Privacy-preserving Visual Recognition. Computer Vision and Pattern Recognition (CVPR). 2020
- S. Bian, W. Jian, Q. Lu, T. Sato. NASS: Optimizing Secure Inference via Neural Architecture Search. European Conference on Artificial Intelligence (ECAI). 2020
- Y. Kume, S. Bian, T. Sato. A Tuning-free Hardware Reservoir Based on MOSFET Crossbar Array for Practical Echo State Network Implementation. ACM/IEEE Asia and South Pacific Design Automation Conference (ASPDAC). 2020. 458-463
- K. Oshima, S. Bian, T. Sato. Estimation of NBTI-induced Timing Degradation Considering Duty Ratio. The 22nd workshop on synthesis and system integration of mixed information technologies (SASIMI). 2019. 330-335
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