Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jinbei Fang"'
Autor:
Deyang Chen, Zhiwang Guo, Jinbei Fang, Chenyang Zhao, Jingwen Jiang, Keji Zhou, Haidong Tian, Xiankui Xiong, Xiaoyong Xue, Xiaoyang Zeng
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 70:276-280
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f22857a1015661f980c707590bb8f80
https://doi.org/10.1109/tcsii.2022.3201367
https://doi.org/10.1109/tcsii.2022.3201367
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 70:364-377
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ef5d3c6d03e844ac041e3b2d0e3d6e2
https://doi.org/10.1109/tcsi.2022.3215535
https://doi.org/10.1109/tcsi.2022.3215535
Autor:
Zhao Chenyang, Keji Zhou, Haidong Tian, Deyang Chen, Minge Jing, Jinbei Fang, Xiaoyang Zeng, Qi Liu, Xiaoyong Xue, Yujie Huang, Jiang Jingwen, Xiankui Xiong, Jun Han
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 68:2932-2936
In this work, a ReRAM-based energy-efficient CIM accelerator is presented with two techniques for edge AI applications. Firstly, a circuit-algorithm co-design scheme is proposed to realize fully analog processing, which improves the energy efficiency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d33b984ada0120956e1decf8673a65b8
https://doi.org/10.1109/tcsii.2021.3065697
https://doi.org/10.1109/tcsii.2021.3065697
Autor:
Huawei Chen, Weida Hu, Peng Zhou, Jianlu Wang, Zhen Wang, Chunsen Liu, Jinbei Fang, David Wei Zhang, Xiaoyong Xue
Publikováno v:
Nature Electronics. 4:399-404
A single biological neuron can efficiently perform Boolean operations. Artificial neuromorphic systems, on the other hand, typically require several devices to complete a single operation. Here, we show that neuristors that exploit the intrinsic pola
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::938757006e14b1fcec8b658070f0a997
https://doi.org/10.1038/s41928-021-00591-z
https://doi.org/10.1038/s41928-021-00591-z
Autor:
Zhiwang Guo, Deyang Chen, Chenyang Zhao, Jinbei Fang, Jingwen Jiang, Yixuan Liu, Haidong Tian, Xiankui Xiong, Keji Zhou, Xiaoyong Xue, Qi Liu, Xiaoyang Zeng
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1080df2b70be5f7ca80e6e24220df81e
https://doi.org/10.1109/tcsii.2023.3240193
https://doi.org/10.1109/tcsii.2023.3240193
Publikováno v:
2021 IEEE 14th International Conference on ASIC (ASICON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c77ea7f3fcff63440e941028154871f4
https://doi.org/10.1109/asicon52560.2021.9620289
https://doi.org/10.1109/asicon52560.2021.9620289
Autor:
Keji Zhou, Ruijun Lin, Zhiwang Guo, Yixuan Liu, Jingwen Jiang, Chenyang Zhao, Jinbei Fang, Xiaoxin Xu, Xiaoyong Xue, Xiaoyang Zeng
Publikováno v:
Microelectronics Journal. 125:105478
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a86df7989e7b9d6e36dde3e04ea29041
https://doi.org/10.1016/j.mejo.2022.105478
https://doi.org/10.1016/j.mejo.2022.105478
Autor:
Xiaoyang Zeng, Deyang Chen, Hangbing Lv, Jianhua Yang, Ming Liu, Xiaoyong Xue, Qinting Ding, Jinbei Fang
Publikováno v:
2020 IEEE International Electron Devices Meeting (IEDM).
RRAM suffers from poor retention with short-term memory time when using low compliance current for programing. However, the short-term memory time exhibits ideal randomness, which can be exploited as an entropy source for physically unclonable functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::107c7fecd7c6ffae3948c18ad84527ab
https://doi.org/10.1109/iedm13553.2020.9372050
https://doi.org/10.1109/iedm13553.2020.9372050
Autor:
Yunzhe Zheng, Ming Liu, Jiezhi Chen, Peng Yuan, Bing Chen, Haoran Yu, Lu Tai, Xiaoyong Xue, Xiaoxin Xu, Jianhua Yang, Jie Yu, Jinbei Fang, Hangbing Lv, Tiancheng Gong, Yan Cheng, Qing Luo
Publikováno v:
SSRN Electronic Journal.
Ubiquitous artificial intelligence (AI) applications call for increasing computing power and large communication bandwidth, which are challenging to meet given the diminishing benefits from traditional planar CMOS scaling. Three-dimension (3D) integr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85bd9724028deaebdb58eeff5329be50
https://doi.org/10.2139/ssrn.3671968
https://doi.org/10.2139/ssrn.3671968