中国科学院计算技术研究所机构知识库

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发表日期：2022

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	Scalable algorithm simplification using quantum AND logic 期刊论文 NATURE PHYSICS, 2022, 页码: 7 作者:  Chu, Ji;  He, Xiaoyu;  Zhou, Yuxuan;  Yuan, Jiahao;  Zhang, Libo;  Guo, Qihao;  Hai, Yongju;  Han, Zhikun;  Hu, Chang-Kang;  Huang, Wenhui;  Jia, Hao;  Jiao, Dawei;  Li, Sai;  Liu, Yang;  Ni, Zhongchu;  Nie, Lifu;  Pan, Xianchuang;  Qiu, Jiawei;  Wei, Weiwei;  Nuerbolati, Wuerkaixi;  Yang, Zusheng;  Zhang, Jiajian;  Zhang, Zhida;  Zou, Wanjing;  Chen, Yuanzhen;  Deng, Xiaowei;  Deng, Xiuhao;  Hu, Ling;  Li, Jian;  Liu, Song;  Lu, Yao;  Niu, Jingjing;  Tan, Dian;  Xu, Yuan;  Yan, Tongxing;  Zhong, Youpeng;  Yan, Fei;  Sun, Xiaoming;  Yu, Dapeng 收藏  |  浏览/下载：15/0  |  提交时间：2023/07/12
	Circ_CEA promotes the interaction between the p53 and cyclin-dependent kinases 1 as a scaffold to inhibit the apoptosis of gastric cancer 期刊论文 CELL DEATH & DISEASE, 2022, 卷号: 13, 期号: 9, 页码: 15 作者:  Yuan, Yuan;  Zhang, Xiaojing;  Du, Kaining;  Zhu, Xiaohui;  Chang, Shanshan;  Chen, Yang;  Xu, Yidan;  Sun, Jiachun;  Luo, Xiaonuan;  Deng, Shiqi;  Qin, Ying;  Feng, Xianling;  Wei, Yanjie;  Fan, Xinmin;  Liu, Ziyang;  Zheng, Baixin;  Ashktorab, Hassan;  Smoot, Duane;  Li, Song;  Xie, Xiaoxun;  Jin, Zhe;  Peng, Yin 收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
	Search-Free Inference Acceleration for Sparse Convolutional Neural Networks 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 7, 页码: 2156-2169 作者:  Liu, Bosheng;  Chen, Xiaoming;  Han, Yinhe;  Wu, Jigang;  Chang, Liang;  Liu, Peng;  Xu, Haobo 收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07 Internal interconnection  memory bandwidth  sparse accelerators  sparse convolution neural networks (CNNs)
	Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 7006-7019 作者:  Liu, Chang;  Zhang, Xishan;  Zhang, Rui;  Li, Ling;  Zhou, Shiyi;  Huang, Di;  Li, Zhen;  Du, Zidong;  Liu, Shaoli;  Chen, Tianshi 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 Neural network acceleration  low precision training  quantization