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：2019

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	N-glycopeptide Signatures of IgA(2) in Serum from Patients with Hepatitis B Virus-related Liver Diseases 期刊论文 MOLECULAR & CELLULAR PROTEOMICS, 2019, 卷号: 18, 期号: 11, 页码: 2262-2272 作者:  Zhang, Shu;  Cao, Xinyi;  Liu, Chao;  Li, Wei;  Zeng, Wenfeng;  Li, Baiwen;  Chi, Hao;  Liu, Mingqi;  Qin, Xue;  Tang, Lingyi;  Yan, Guoquan;  Ge, Zefan;  Liu, Yinkun;  Gao, Qiang;  Lu, Haojie 收藏  |  浏览/下载：53/0  |  提交时间：2020/12/10
	ShuttleNoC: Power-Adaptable Communication Infrastructure for Many-Core Processors 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, 卷号: 38, 期号: 8, 页码: 1438-1451 作者:  Lu, Hang;  Chang, Yisong;  Yan, Guihai;  Lin, Ning;  Wei, Xin;  Li, Xiaowei 收藏  |  浏览/下载：75/0  |  提交时间：2019/12/10 Many-core processors  networks-on-chip (NoCs)  power management  shuttle networks-on-chip (ShuttleNoC)
	A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients 期刊论文 JOURNAL OF CELLULAR PHYSIOLOGY, 2019, 卷号: 234, 期号: 7, 页码: 11610-11619 作者:  Wang, Song;  Zhang, Jian-Hua;  Wang, Huan;  Yang, Lu;  Hong, Shuai;  Yu, Bo;  Guo, Jin-Cheng;  Liu, Jing;  Zhu, Yan-Bing 收藏  |  浏览/下载：249/0  |  提交时间：2019/08/16 hepatocellular carcinoma  microRNAs  prognostic  protein-coding genes  signature
	Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 6, 页码: 867-881 作者:  Lu, Wenyan;  Yan, Guihai;  Li, Jiajun;  Gong, Shijun;  Jiang, Shuhao;  Wu, Jingya;  Li, Xiaowei 收藏  |  浏览/下载：249/0  |  提交时间：2019/08/16 Convolutional neural networks  accelerator  architecture  parallelism  sparsity
	SynergyFlow: An Elastic Accelerator Architecture Supporting Batch Processing of Large-Scale Deep Neural Networks 期刊论文 ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2019, 卷号: 24, 期号: 1, 页码: 27 作者:  Li, Jiajun;  Yan, Guihai;  Lu, Wenyan;  Gong, Shijun;  Jiang, Shuhao;  Wu, Jingya;  Li, Xiaowei 收藏  |  浏览/下载：70/0  |  提交时间：2019/04/03 Deep neural networks  convolutional neural networks  accelerator  architecture  resource utilization  complementary effect
	LipoSVM: Prediction of Lysine Lipoylation in Proteins based on the Support Vector Machine 期刊论文 CURRENT GENOMICS, 2019, 卷号: 20, 期号: 5, 页码: 362-370 作者:  Wu, Meiqi;  Lu, Pengchao;  Yang, Yingxi;  Liu, Liwen;  Wang, Hui;  Xu, Yan;  Chu, Jixun 收藏  |  浏览/下载：34/0  |  提交时间：2020/12/10 Lysine lipoylation  prediction  amino acids  support vector machine  post-translational modifications  scoring matrix