Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Houji Zhou"'
Publikováno v:
APL Machine Learning, Vol 1, Iss 4, Pp 040901-040901-13 (2023)
In-memory computing (IMC) using emerging nonvolatile devices has received considerable attention due to its great potential for accelerating artificial neural networks and machine learning tasks. As the basic concept and operation modes of IMC are no
Externí odkaz:
https://doaj.org/article/c01db2e44a1349c8ae9b2ab032104bf9
Autor:
Ling Yang, Xiaodi Huang, Yi Li, Houji Zhou, Yingjie Yu, Han Bao, Jiancong Li, Shengguang Ren, Feng Wang, Lei Ye, Yuhui He, Jia Chen, Guiyou Pu, Xiang Li, Xiangshui Miao
Publikováno v:
InfoMat, Vol 5, Iss 5, Pp n/a-n/a (2023)
Abstract Similarity search, that is, finding similar items in massive data, is a fundamental computing problem in many fields such as data mining and information retrieval. However, for large‐scale and high‐dimension data, it suffers from high co
Externí odkaz:
https://doaj.org/article/669c845332cd490fa417cb829778fbab
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 3, Pp n/a-n/a (2023)
Finding similar images in real time plays a key role in information retrieval and serves as an indispensable function of the search engine. However, image retrieval involves massive distance computation. With the increase in image data volume and dim
Externí odkaz:
https://doaj.org/article/9360be4f484144a0bc2f8f2377ec6096
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 2, Pp n/a-n/a (2023)
External‐memory‐based few‐shot learning has emerged as a promising solution to deal with the shortage of labeled samples in traditional deep neural networks (DNNs). The external memories here are used to perform explicit similarity calculations
Externí odkaz:
https://doaj.org/article/56bbd8b59af348458a248d0b30261d21
Publikováno v:
Frontiers in Electronics, Vol 3 (2022)
Nonvolatile memory (NVM)-based convolutional neural networks (NvCNNs) have received widespread attention as a promising solution for hardware edge intelligence. However, there still exist many challenges in the resource-constrained conditions, such a
Externí odkaz:
https://doaj.org/article/b847b43af73543078ed5c8e203206cca
Autor:
Houji Zhou, Jia Chen, Yinan Wang, Sen Liu, Yi Li, Qingjiang Li, Qi Liu, Zhongrui Wang, Yuhui He, Hui Xu, Xiangshui Miao
Publikováno v:
Advanced Intelligent Systems, Vol 3, Iss 11, Pp n/a-n/a (2021)
Inspired by competitive rules of the nature, competitive learning contributes to the specialization of the human brain and the general creativity of mankind. However, the construction of hardware competitive learning neural network still faces great
Externí odkaz:
https://doaj.org/article/9b241c76c298406f8ec126d570d6e327
Autor:
Ling Yang, Xiaodi Huang, Yi Li, Houji Zhou, Yingjie Yu, Han Bao, Jiancong Li, Shengguang Ren, Feng Wang, Lei Ye, Yuhui He, Jia Chen, Guiyou Pu, Xiang Li, Xiangshui Miao
Publikováno v:
InfoMat. 5
Publikováno v:
Science China Information Sciences. 66
Autor:
Han Bao, Houji Zhou, Jiancong Li, Huaizhi Pei, Jing Tian, Ling Yang, Shengguang Ren, Shaoqin Tong, Yi Li, Yuhui He, Jia Chen, Yimao Cai, Huaqiang Wu, Qi Liu, Qing Wan, Xiangshui Miao
Publikováno v:
Frontiers of Optoelectronics. 15
With the rapid growth of computer science and big data, the traditional von Neumann architecture suffers the aggravating data communication costs due to the separated structure of the processing units and memories. Memristive in-memory computing para
Autor:
Jiangcong Li, Shengguang Ren, Yi Li, Ling Yang, Yingjie Yu, Run Ni, Houji Zhou, Han Bao, Yuhui He, Jia Chen, Han Jia, Xiang Shui Miao
Memristor-enabled in-memory computing provides an unconventional computing paradigm to surpass the energy efficiency of von Neumann computers. However, owing to the physical limitation of the crossbar structure, although the memristor array is desira
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1582f0aa4a7a5f435f81ab0b22f2a0f6
https://doi.org/10.21203/rs.3.rs-1560488/v1
https://doi.org/10.21203/rs.3.rs-1560488/v1