Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Jiancong Li"'
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 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
Autor:
Yun Zhu, Penghui Sun, Kunyuan Wang, Shuzhe Xiao, Yanling Cheng, Xiangzhao Li, Biao Wang, Jiancong Li, Wenxuan Yu, Yang Cheng
Publikováno v:
Cancer Cell International, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background Lenvatinib and lenvatinib-based combination treatments are widely used in patients with unresectable hepatocellular carcinoma (uHCC) in clinical practice, but their curative effect and safety need further study in the real world.
Externí odkaz:
https://doaj.org/article/913a35554dec46c399cc4693524e8b34
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
Publikováno v:
IEEE Access, Vol 8, Pp 20717-20724 (2020)
This paper proposes an anomaly detection model based on the reconstruction error to detect malicious requests in a Web application. Our model combines a multi-head attention network and gated convolution network to capture the pattern of a normal req
Externí odkaz:
https://doaj.org/article/09dbf6997c784e3d9160c9909bee5106
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
Autor:
Ruofei Wu, Jiaxiong Luo, Jiancong Li, Hanbao Chen, Junrui Zhen, Sicong Zhu, Zicong Luo, Yanxiong Wu
Publikováno v:
Journal of Biomedical Optics. 28
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics. 28:1-7
Single nanoparticle detection is demanding in fields such as early-stage diagnostics, environmental monitoring and biochemical researches. Microcavities are becoming excellent platforms for ultrasensitive detection due to the extremely strong enhance
Publikováno v:
Advanced Sensor Systems and Applications XII.