Zobrazeno 1 - 10
of 702
pro vyhledávání: '"Zhang Mingzhe"'
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 400-408 (2022)
Tetraspanin CD82 often participates in regulating the function of epidermal growth factor receptor (EGFR) and hepatocyte growth factor receptor (c-Met). Palmitoylation is a post-translational modification that contributes to tetraspanin web formation
Externí odkaz:
https://doaj.org/article/fe89b079cd4d4276993f6252c75e4feb
Autor:
An, Yuda, Yi, Shushu, Mao, Bo, Li, Qiao, Zhang, Mingzhe, Zhou, Ke, Xiao, Nong, Sun, Guangyu, Wang, Xiaolin, Luo, Yingwei, Zhang, Jie
Compute Express Link (CXL) serves as a rising industry standard, delivering high-speed cache-coherent links to a variety of devices, including host CPUs, computational accelerators, and memory devices. It is designed to promote system scalability, en
Externí odkaz:
http://arxiv.org/abs/2411.08312
Images of coral reefs provide invaluable information, which is essentially critical for surveying and monitoring the coral reef ecosystems. Robust and precise identification of coral reef regions within surveying imagery is paramount for assessing co
Externí odkaz:
http://arxiv.org/abs/2410.20436
Autor:
Deng, Xianglong, Fan, Shengyu, Hu, Zhicheng, Tian, Zhuoyu, Yang, Zihao, Yu, Jiangrui, Cao, Dingyuan, Meng, Dan, Hou, Rui, Li, Meng, Lou, Qian, Zhang, Mingzhe
In this paper, we present the first multi-modal FHE accelerator based on a unified architecture, which efficiently supports CKKS, TFHE, and their conversion scheme within a single accelerator. To achieve this goal, we first analyze the theoretical fo
Externí odkaz:
http://arxiv.org/abs/2410.13405
Autor:
Fan, Shengyu, Deng, Xianglong, Tian, Zhuoyu, Hu, Zhicheng, Chang, Liang, Hou, Rui, Meng, Dan, Zhang, Mingzhe
Fully Homomorphic Encryption (FHE), a novel cryptographic theory enabling computation directly on ciphertext data, offers significant security benefits but is hampered by substantial performance overhead. In recent years, a series of accelerator desi
Externí odkaz:
http://arxiv.org/abs/2403.10188
Autor:
Li, Xingquan, Tao, Simin, Huang, Zengrong, Chen, Shijian, Zeng, Zhisheng, Ni, Liwei, Huang, Zhipeng, Zhuang, Chunan, Wu, Hongxi, Li1, Weiguo, Zhao, Xueyan, Liu, He, Long, Shuaiying, He, Wei, Liu, Bojun, Gan, Sifeng, Yu, Zihao, Liu, Tong, Miao, Yuchi, Yan, Zhiyuan, Wang, Hao, Zhao, Jie, Li, Yifan, Liu, Ruizhi, Lin, Xiaoze, Yang, Bo, Xue, Zhen, Huang, Fuxing, Yang, Zonglin, Wu, Zhenggang, Li, Jiangkao, Liu, Yuezuo, Peng, Ming, Qiu, Yihang, Wu, Wenrui, Shao, Zheqing, Mo, Kai, Liu, Jikang, Liang, Yuyao, Zhang, Mingzhe, Ma, Zhuang, Cong, Xiang, Huang, Daxiang, Luo, Guojie, Li, Huawei, Shen, Haihua, Chen, Mingyu, Bu, Dongbo, Zhu, Wenxing, Cai, Ye, Xiong, Xiaoming, Jiang, Ying, Heng, Yi, Zhang, Peng, Xie, Biwei, Bao, Yungang
Open-source EDA shows promising potential in unleashing EDA innovation and lowering the cost of chip design. This paper presents an open-source EDA project, iEDA, aiming for building a basic infrastructure for EDA technology evolution and closing the
Externí odkaz:
http://arxiv.org/abs/2308.01857
In this paper, we propose TensorFHE, an FHE acceleration solution based on GPGPU for real applications on encrypted data. TensorFHE utilizes Tensor Core Units (TCUs) to boost the computation of Number Theoretic Transform (NTT), which is the part of F
Externí odkaz:
http://arxiv.org/abs/2212.14191
Positive-unlabeled (PU) learning deals with binary classification problems when only positive (P) and unlabeled (U) data are available. Many recent PU methods are based on neural networks, but little has been done to develop boosting algorithms for P
Externí odkaz:
http://arxiv.org/abs/2205.09485
Autor:
Li, Chuang, Li, Qingyang, Jiang, Ruizhi, Zhang, Chi, Qi, Enlin, Wu, Mingxin, Zhang, Mingzhe, Zhao, Hua, Zhao, Fenge, Zhou, Hengxing
Publikováno v:
In Journal of Pharmaceutical and Biomedical Analysis 15 December 2024 251
Autor:
Zhang, Weihua, Ren, Shuai, Liu, Zehan, Zhang, Mingzhe, Guan, Xiangchen, Xu, Junfeng, Ren, Xiaoping
Publikováno v:
In IBRO Neuroscience Reports December 2024 17:290-299