Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Woyu Zhang"'
Autor:
Danian Dong, Woyu Zhang, Yuanlu Xie, Jinshan Yue, Kuan Ren, Hongjian Huang, Xu Zheng, Wen Xuan Sun, Jin Ru Lai, Shaoyang Fan, Hongzhou Wang, Zhaoan Yu, Zhihong Yao, Xiaoxin Xu, Dashan Shang, Ming Liu
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 10, Pp n/a-n/a (2024)
Reservoir computing (RC) possesses a simple architecture and high energy efficiency for time‐series data analysis through machine learning algorithms. To date, RC has evolved into several innovative variants. The next generation reservoir computing
Externí odkaz:
https://doaj.org/article/ccf274fc05ba4f94bfb4dcb1dd3a1470
Autor:
Woyu Zhang, Zhi Li, Xinyuan Zhang, Fei Wang, Shaocong Wang, Ning Lin, Yi Li, Jun Wang, Jinshan Yue, Chunmeng Dou, Xiaoxin Xu, Zhongrui Wang, Dashan Shang
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 7, Pp n/a-n/a (2024)
Artificial intelligence for graph‐structured data has achieved remarkable success in applications such as recommendation systems, social networks, drug discovery, and circuit annotation. Graph convolutional networks (GCNs) are an effective way to l
Externí odkaz:
https://doaj.org/article/b30619a65a6d4e07b5d70d9ead20fd49
Autor:
Renrui Fang, Shaocong Wang, Woyu Zhang, Kuan Ren, Wenxuan Sun, Fei Wang, Jinru Lai, Peiwen Zhang, Xiaoxin Xu, Qing Luo, Ling Li, Zhongrui Wang, Dashan Shang
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 4, Pp n/a-n/a (2024)
Abstract Time‐delayed reservoir computing with marked strengths of friendly hardware implementation and low training cost is regarded as a promising solution to realize time and energy‐efficient time series information processing and thus receive
Externí odkaz:
https://doaj.org/article/fd16f9a20ac144648b43eeeb01d63976
Autor:
Han Xu, Dashan Shang, Qing Luo, Junjie An, Yue Li, Shuyu Wu, Zhihong Yao, Woyu Zhang, Xiaoxin Xu, Chunmeng Dou, Hao Jiang, Liyang Pan, Xumeng Zhang, Ming Wang, Zhongrui Wang, Jianshi Tang, Qi Liu, Ming Liu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Neuromorphic computing aims to emulate the computing processes of the brain by replicating the functions of biological neural networks using electronic counterparts. One promising approach is dendritic computing, which takes inspiration from
Externí odkaz:
https://doaj.org/article/3bc2672834124cd9b530a50d940c4c38
Autor:
Dingchen Wang, Dingyao Liu, Yinan Lin, Anran Yuan, Woyu Zhang, Yaping Zhao, Shaocong Wang, Xi Chen, Hegan Chen, Yi Zhang, Yang Jiang, Shuhui Shi, Kam Chi Loong, Jia Chen, Songrui Wei, Qing Wang, Hongyu Yu, Renjing Xu, Dashan Shang, Han Zhang, Shiming Zhang, Zhongrui Wang
Publikováno v:
InfoMat, Vol 5, Iss 4, Pp n/a-n/a (2023)
Abstract Autonomous one‐shot on‐the‐fly learning copes with the high privacy, small dataset, and in‐stream data at the edge. Implementing such learning on digital hardware suffers from the well‐known von‐Neumann and scaling bottlenecks. T
Externí odkaz:
https://doaj.org/article/0bb2979ac1694b1f9586ea53d4bc6ffb
Autor:
Han Xu, Renrui Fang, Shuyu Wu, Junjie An, Woyu Zhang, Chao Li, Jikai Lu, Yue Li, Xiaoxin Xu, Yan Wang, Qi Liu, Dashan Shang
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 2, Pp n/a-n/a (2023)
Abstract The hardware implementation of artificial neural networks requires synaptic devices with linear and high‐speed weight modulation. Memristors as a candidate suffer from excessive write variation and asymmetric resistance modulation that inh
Externí odkaz:
https://doaj.org/article/b7b34e3a7d6c4e42972bfa5f90f0400c
Autor:
Shaocong Wang, Hegan Chen, Woyu Zhang, Yi Li, Dingchen Wang, Shuhui Shi, Yaping Zhao, Kam Chi Loong, Xi Chen, Yujiao Dong, Yi Zhang, Yang Jiang, Chaudhry Furqan, Jia Chen, Qing Wang, Xiaoxin Xu, Guangyi Wang, Hongyu Yu, Dashan Shang, Zhongrui Wang
Publikováno v:
Advanced Intelligent Systems, Vol 4, Iss 8, Pp n/a-n/a (2022)
The unprecedented development of Internet of Things results in the explosion of spatiotemporal signals generated by smart edge devices, leading to a surge of interest in real‐time learning of such data. This imposes a big challenge to conventional
Externí odkaz:
https://doaj.org/article/6352b066583a45d6a2b6c5c779652c41
Autor:
Yi Li, Woyu Zhang, Xiaoxin Xu, Yifan He, Danian Dong, Nanjia Jiang, Fei Wang, Zeyu Guo, Shaocong Wang, Chunmeng Dou, Yongpan Liu, Zhongrui Wang, Dashan Shang
Publikováno v:
Advanced Intelligent Systems, Vol 4, Iss 8, Pp n/a-n/a (2022)
Artificial neural networks have acquired remarkable achievements in the field of artificial intelligence. However, it suffers from catastrophic forgetting when dealing with continual learning problems, i.e., the loss of previously learned knowledge u
Externí odkaz:
https://doaj.org/article/a82ff1eceb664e5c960d4b497cc5c8e6
Publikováno v:
Materials Futures, Vol 2, Iss 2, p 022701 (2023)
The reservoir computing (RC) system, known for its ability to seamlessly integrate memory and computing functions, is considered as a promising solution to meet the high demands for time and energy-efficient computing in the current big data landscap
Externí odkaz:
https://doaj.org/article/22c063cc604e4844a08dd084b3ed85eb
Autor:
Yi Li, Jia Chen, Linfang Wang, Woyu Zhang, Zeyu Guo, Jun Wang, Yongkang Han, Zhi Li, Fei Wang, Chunmeng Dou, Xiaoxin Xu, Jianguo Yang, Zhongrui Wang, Dashan Shang
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 70:1871-1875