Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Chunmeng Dou"'
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:
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:
Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 1, Pp n/a-n/a (2024)
In this work, the requirement of using high‐precision (HP) signals is lifted and the circuits for implementing deep learning algorithms in memristor‐based hardware are simplified. The use of HP signals is required by the backpropagation learning
Externí odkaz:
https://doaj.org/article/fa29901c0caa49438007068fa935eaea
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
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
Autor:
Jinshan Yue, Yongpan Liu, Zhe Yuan, Xiaoyu Feng, Yifan He, Wenyu Sun, Zhixiao Zhang, Xin Si, Ruhui Liu, Zi Wang, Meng-Fan Chang, Chunmeng Dou, Xueqing Li, Ming Liu, Huazhong Yang
Publikováno v:
IEEE Journal of Solid-State Circuits. 57:2560-2573
Autor:
Jinshan Yue, Chaojie He, Zi Wang, Zhaori Cong, Yifan He, Mufeng Zhou, Wenyu Sun, Xueqing Li, Chunmeng Dou, Feng Zhang, Huazhong Yang, Yongpan Liu, Ming Liu
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
Autor:
Jianguo Yang, Qing Luo, Xiaoyong Xue, Haijun Jiang, Qiqiao Wu, Zhongze Han, Yue Cao, Yongkang Han, Chunmeng Dou, Hangbing Lv, Qi Liu, Ming LiU
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
Autor:
Linfang Wang, Qi Liu, Xiping Jiang, Chixiao Chen, Chenggao Zhang, Zhaoan Yu, Chunmeng Dou, Junjie An, Zhihong Yao, Xumeng Zhang, Tuo Shi, Jing Liu, Zuheng Wu, Ye Wang, Wang Xuehong, Meng-Fan Chang
Publikováno v:
IEEE Transactions on Electron Devices. 68:4933-4937
In this work, we present a four-transistor-two-resistor (4T2R) ternary content addressable memory (TCAM) bit cell based on the resistive memory (RRAM), comprising the conventional two-transistor-two-resistor (2T2R) cell with two additional comparison
Autor:
Linfang Wang, Junjie An, Wang Ye, Weizeng Li, Hanghang Gao, Yangu He, Jianfeng Gao, Jinshan Yue, Lingyan Fan, Chunmeng Dou
Publikováno v:
2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS).