Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Chen Xizi"'
Autor:
Wang, Xiaomeng, Tian, Fengshi, Chen, Xizi, Zheng, Jiakun, Liu, Xuejiao, Tu, Fengbin, Yang, Jie, Sawan, Mohamad, Cheng, Kwang-Ting, Tsui, Chi-Ying
In this paper, we propose a high-precision SRAM-based CIM macro that can perform 4x4-bit MAC operations and yield 9-bit signed output. The inherent discharge branches of SRAM cells are utilized to apply time-modulated MAC and 9-bit ADC readout operat
Externí odkaz:
http://arxiv.org/abs/2307.05944
The unstructured sparsity after pruning poses a challenge to the efficient implementation of deep learning models in existing regular architectures like systolic arrays. On the other hand, coarse-grained structured pruning is suitable for implementat
Externí odkaz:
http://arxiv.org/abs/2104.01303
Recent literature has shown that convolutional neural networks (CNNs) with large kernels outperform vision transformers (ViTs) and CNNs with stacked small kernels in many computer vision tasks, such as object detection and image restoration. The Wino
Externí odkaz:
http://arxiv.org/abs/2102.13272
Autor:
Chen, Xizi, Xu, Yanhui
Publikováno v:
In Trends in Biochemical Sciences February 2024 49(2):145-155
Research on Auditing Supply Chain Finance Business of State-owned Enterprises Based on Deep Learning
Autor:
Jing Xiaojuan, Chen Xizi
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Due to the complexity and tediousness of the current audit process, the development of audit intelligence has become a general trend. In order to improve the audit quality, the study establishes an intelligent financial audit model based on audit opi
Externí odkaz:
https://doaj.org/article/e219e9998cc945e4b939361088832b20
Recently Resistive-RAM (RRAM) crossbar has been used in the design of the accelerator of convolutional neural networks (CNNs) to solve the memory wall issue. However, the intensive multiply-accumulate computations (MACs) executed at the crossbars dur
Externí odkaz:
http://arxiv.org/abs/1906.03180
Autor:
Chen, Xizi, Xu, Yanhui
Publikováno v:
In Current Opinion in Structural Biology August 2022 75
Contemporary Deep Neural Network (DNN) contains millions of synaptic connections with tens to hundreds of layers. The large computation and memory requirements pose a challenge to the hardware design. In this work, we leverage the intrinsic activatio
Externí odkaz:
http://arxiv.org/abs/1711.01263
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