Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Yifu, Wu"'
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c5a5df0f667181ae9330be2c7d8213d
https://doi.org/10.1109/isscc42615.2023.10067522
https://doi.org/10.1109/isscc42615.2023.10067522
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 9:2201-2222
Thanks to the advances in machine learning, data-driven analysis tools have become valuable solutions for various applications. However, there still remain essential challenges to develop effective data-driven methods because of the need to acquire a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfd75aa296ab5d5a9b856b3aa90fe801
https://doi.org/10.1109/tetc.2020.2983007
https://doi.org/10.1109/tetc.2020.2983007
Publikováno v:
IEEE Internet of Things Journal. 8:9740-9752
In recent years, it has been observed the exponential growth of the Internet of Things (IoT) in different application fields, such as manufacturing and energy industry. To effectively fuse and process the tremendous amount of IoT sensing data timely,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db2d0f9e1e5d723463762e798339d413
https://doi.org/10.1109/jiot.2020.3033482
https://doi.org/10.1109/jiot.2020.3033482
Publikováno v:
CICC
Deep neural networks present a promising future in applications, ranging from face ID on mobile phones to self-driving cars. Weight pruning and quantization act as valuable solutions to release the burden of computation and memory. Figure 1 shows the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7031984a0acbbf4ddb8e5926782413b
https://doi.org/10.1109/cicc51472.2021.9431519
https://doi.org/10.1109/cicc51472.2021.9431519
Autor:
Shaokai Ye, Yuanqing Miao, Kaisheng Ma, Zhanhong Tan, Yifu Wu, Hongyang Chen, Dehui Li, Sia-Huat Tan, Jiebo Song, Xiaolong Ma, Yanzhi Wang
Publikováno v:
DAC
Weight pruning is a powerful technique to realize model compression. We propose PCNN, a fine-grained regular 1D pruning method. A novel index format called Sparsity Pattern Mask (SPM) is presented to encode the sparsity in PCNN. Leveraging SPM with l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07ef3ee1fd2b16da132cac5d2c83865c
http://arxiv.org/abs/2002.04997
http://arxiv.org/abs/2002.04997
Publikováno v:
GlobalSIP
Due to the advances in dramatically increased computing power, machine learning technologies have been widely exploited to provide promising solutions in different application fields. However, the high performance of many of these machine learning te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0561c5721109bfe380412c838e344463
https://doi.org/10.1109/globalsip45357.2019.8969462
https://doi.org/10.1109/globalsip45357.2019.8969462
Publikováno v:
Experimental and Therapeutic Medicine
The effect of different vasoactive drugs on the pH [intracellular pH (pHi)] of gastric mucosa in patients with septic shock was evaluated in the present study. According to the vasoactive drugs applied, 48 patients with septic shock were divided into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49f709fee0341d480dcaa4969ce88e26
https://doi.org/10.3892/etm.2016.3362
https://doi.org/10.3892/etm.2016.3362
Autor:
Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia-Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
Publikováno v:
DAC: Annual ACM/IEEE Design Automation Conference; 2020, Issue 57, p1130-1135, 6p
Publikováno v:
2017 IEEE Power & Energy Society General Meeting.
Distributed Energy Resources (DERs) are being increasingly accepted as an excellent complement to traditional energy sources in smart grids. As most of these generators are geographically dispersed, dedicated communications investments for every gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60eeee43f12e1464f765f1ab7ffc7293
https://doi.org/10.1109/pesgm.2017.8273961
https://doi.org/10.1109/pesgm.2017.8273961
Publikováno v:
ICC
Distributed Energy Resources (DERs) are being increasingly accepted as an excellent complement to traditional energy sources in smart grids. As most of these generators are geographically dispersed, dedicated communications investments for every gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bd7bb18b8f8cf9cdea1b740e5cce91e
https://doi.org/10.1109/icc.2017.7996875
https://doi.org/10.1109/icc.2017.7996875