Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Sun, Jiyuan"'
Autor:
Zhang, Yulin, Zheng, Yang, Hu, Qiwen, Hu, Zhen, Sun, Jiyuan, Cheng, Ping, Rao, Xiancai, Jiang, Xiao-Ran
Publikováno v:
In Synthetic and Systems Biotechnology September 2024 9(3):586-593
Publikováno v:
In Ocean Engineering 1 November 2023 287 Part 1
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Zhang, Shunhu, Tian, Chun, Jiang, Xiaowu, Xu, Xiang, Zhao, Haitao, Sun, Jiyuan, Zhang, Lifen, Cheng, Zhenping
Publikováno v:
In European Polymer Journal 11 September 2023 196
Cationic porphyrin-based star-shaped polymers with photo-enhanced antibacterial activity by BIT-RDRP
Publikováno v:
In European Polymer Journal 17 August 2023 195
Autor:
Yang, Jianqiao, Shang, Lunlin, Sun, Jiyuan, Bai, Shuyuan, Wang, Shuzhong, Liu, Junkai, Yun, Di, Ma, Dayan
Publikováno v:
In Corrosion Science 15 April 2023 214
Autor:
Yang, Jianqiao, Bai, Shuyuan, Sun, Jiyuan, Wu, Hao, Sun, Shenghan, Wang, Shuzhong, Li, Yanhui, Ma, Wenhao, Tang, Xingying, Xu, Donghai
Publikováno v:
In Corrosion Science February 2023 211
Publikováno v:
In Ocean Engineering 15 January 2023 268
Autor:
Ma, Lei, Zhang, Fuyuan, Sun, Jiyuan, Xue, Minhui, Li, Bo, Juefei-Xu, Felix, Xie, Chao, Li, Li, Liu, Yang, Zhao, Jianjun, Wang, Yadong
Publikováno v:
DeepMutation: Mutation Testing of Deep Learning Systems. In Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering (ISSRE 2018), October 15-18, 2018, Memphis, USA
Deep learning (DL) defines a new data-driven programming paradigm where the internal system logic is largely shaped by the training data. The standard way of evaluating DL models is to examine their performance on a test dataset. The quality of the t
Externí odkaz:
http://arxiv.org/abs/1805.05206
Autor:
Ma, Lei, Juefei-Xu, Felix, Zhang, Fuyuan, Sun, Jiyuan, Xue, Minhui, Li, Bo, Chen, Chunyang, Su, Ting, Li, Li, Liu, Yang, Zhao, Jianjun, Wang, Yadong
Publikováno v:
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems. In Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE 18), September 3-7, 2018, Montpellier, France
Deep learning (DL) defines a new data-driven programming paradigm that constructs the internal system logic of a crafted neuron network through a set of training data. We have seen wide adoption of DL in many safety-critical scenarios. However, a ple
Externí odkaz:
http://arxiv.org/abs/1803.07519