Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Naifeng Jing"'
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42:874-886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::276860c927f2793d08ec784aed36c912
https://doi.org/10.1109/tcad.2022.3185544
https://doi.org/10.1109/tcad.2022.3185544
Publikováno v:
Integration. 88:400-409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::725ab015c41a29950d3e6aca45053bce
https://doi.org/10.1016/j.vlsi.2022.09.008
https://doi.org/10.1016/j.vlsi.2022.09.008
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 28:1-21
High-resolution video object recognition (VOR) evolves so fast but is very compute-intensive. This is because VOR leverages compute-intensive deep neural network (DNN) for better accuracy. Although many works have been proposed for speedup, they most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143581b13f59630468f823f7f56334e9
https://doi.org/10.1145/3543852
https://doi.org/10.1145/3543852
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 27:1-22
Resistive-RAM-based (ReRAM-based) computing shows great potential on accelerating DNN inference by its highly parallel structure. Regrettably, computing accuracy in practical is much lower than expected due to the non-ideal ReRAM device. Conventional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb8963f92efa46ba649c7ea6597c906a
https://doi.org/10.1145/3510819
https://doi.org/10.1145/3510819
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:2094-2106
Resistive-RAM (RRAM) based deep neural network (DNN) accelerator has shown great potential as it is good at the matrix-vector multiplication (MVM) operator. However, it does not benefit non-MVM operators, such as transcendental activation or element-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe2cfa76ce2299014d9dab721b4ca720
https://doi.org/10.1109/tcad.2021.3107252
https://doi.org/10.1109/tcad.2021.3107252
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:1842-1854
RC-NVM (Row-Column-NVM) is a new architecture for emerging non-volatile memory (NVM) such as ReRAM, PCM and STT-RAM. It leverages the symmetry of crossbar structure and supports both row and column memory accesses. The new architecture is well fit fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9791c794e16482a2410d6659ac4907ba
https://doi.org/10.1109/tcad.2021.3097288
https://doi.org/10.1109/tcad.2021.3097288
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57492df414b1b77954d60c9fcd911db6
https://doi.org/10.1109/lgrs.2022.3188850
https://doi.org/10.1109/lgrs.2022.3188850
Autor:
Yuqing Yang, Weidong Yang, Qin Wang, Naifeng Jing, Jianfei Jiang, Zhigang Mao, Weiguang Sheng
Publikováno v:
Proceedings of the 28th Asia and South Pacific Design Automation Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b054996f0d5b63108d09ede0f179160
https://doi.org/10.1145/3566097.3567857
https://doi.org/10.1145/3566097.3567857
Publikováno v:
Remote Sensing, Vol 12, Iss 7, p 1196 (2020)
Much attention is being paid to using high-performance convolutional neural networks (CNNs) in the area of ship detection in optical remoting sensing (ORS) images. However, the problem of false negatives (FNs) caused by side-by-side ships cannot be s
Externí odkaz:
https://doaj.org/article/dd0b649f99e54c66820cdc4a986e29bd
Autor:
Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
Publikováno v:
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ade0d7d54db6e8bb3f54d1904028bfa3
https://doi.org/10.1145/3508352.3549372
https://doi.org/10.1145/3508352.3549372