Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Baoting Li"'
Autor:
Xueying Fan, Mingjing Meng, Baoting Li, Hui Chen, Jincheng Tan, Keyang Xu, Shilin Xiao, Hiu-Yee Kwan, Zhongqiu Liu, Tao Su
Publikováno v:
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-17 (2023)
Abstract Background More than half of the colorectal cancer (CRC) patients will develop liver metastasis that underlies the cancer mortality. In the hepatic tumor microenvironment, the interplay between CRC cells and hepatic stellate cells (HSCs), an
Externí odkaz:
https://doaj.org/article/ec345cff9e414f6d82be5801c901829f
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 31:738-748
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9400b1937280e5e239211cd6bf2933bc
https://doi.org/10.1109/tvlsi.2023.3262787
https://doi.org/10.1109/tvlsi.2023.3262787
Publikováno v:
Energy & Fuels. 36:1973-1985
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc1d74e7ea3a1c40be792887e15ae457
https://doi.org/10.1021/acs.energyfuels.1c02982
https://doi.org/10.1021/acs.energyfuels.1c02982
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:3279-3292
Depthwise separable convolution (DSC) has become one of the essential structures for lightweight convolutional neural networks. Nevertheless, its hardware architecture has not received much attention. Several previous hardware designs incur either hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7de65e7a30bbff3bff0a6be23870ce6
https://doi.org/10.1109/tcsi.2021.3078541
https://doi.org/10.1109/tcsi.2021.3078541
Publikováno v:
Applied Optics. 62:3892
Design of an off-axis system using the Wassermann–Wolf (W-W) differential equations can effectively eliminate the spherical aberration and coma problem; however, it is complicated and time consuming to calculate the discrete point coordinates on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beb5a1bfaa59bc5dac24737d2166fc29
https://doi.org/10.1364/ao.483753
https://doi.org/10.1364/ao.483753
Autor:
Hao Meng, Bingbing Chen, Xiuhong Dai, Jianxin Guo, Wenheng Li, Yuhua Bai, Xuan Chang, Xuning Zhang, Jingwei Chen, Qing Gao, Baoting Liu, Jianhui Chen
Publikováno v:
Advanced Science, Vol 11, Iss 31, Pp n/a-n/a (2024)
Abstract Perovskite oxides and organic–inorganic halide perovskite materials, with numerous fascinating features, have been subjected to extensive studies. Most of the properties of perovskite materials are dependence on their ferroelectricity that
Externí odkaz:
https://doaj.org/article/ba5f1aecd70b4894be002a6daa15f4f5
Publikováno v:
AICAS
In this paper, we present a flexible Variable Precision Computation Array (VPCA) component for different accelerators, which leverages a sparsification scheme for activations and a low bits serial-parallel combination computation unit for improving t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d2bc9ec4d4f21f0bfc0d5b2bb30a5ac
https://doi.org/10.1109/aicas48895.2020.9073832
https://doi.org/10.1109/aicas48895.2020.9073832
Publikováno v:
ASP-DAC
Network quantization is an effective solution to compress Deep Neural Networks (DNN) that can be accelerated with custom circuit. However, existing quantization methods suffer from significant loss in accuracy. In this paper, we propose an efficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::062731164de610c8f1fd53d6eb22158e
https://doi.org/10.1109/asp-dac47756.2020.9045739
https://doi.org/10.1109/asp-dac47756.2020.9045739
Publikováno v:
DSL
Due to the ever-increasing number of neural networks(NNs) connections and parameters, computation on neural networks is becoming both power hankering and memory intensive. In this paper, we propose a sparse neural networks accelerator to improve memo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f209c9dd7ef6321798213ec253bce3e9
https://doi.org/10.1109/icdsp.2018.8631853
https://doi.org/10.1109/icdsp.2018.8631853
Autor:
Yanle Zhang, Xiaobo Li, Jianmin Song, Suwei Zhang, Jing Wang, Xiuhong Dai, Baoting Liu, Guoyi Dong, Lei Zhao
Publikováno v:
Journal of Materiomics, Vol 7, Iss 6, Pp 1294-1300 (2021)
Antiferroelectric materials with double hysteresis loops are attractive for energy storage applications, which are becoming increasingly important for power electronics nowadays. Among them, AgNbO3 based lead-free ceramics have attracted intensive in
Externí odkaz:
https://doaj.org/article/6f1fb2c42d6e41919dfef784ec383b1b