Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Su, Haoran"'
In recent years, there has been significant attention given to the robustness assessment of neural networks. Robustness plays a critical role in ensuring reliable operation of artificial intelligence (AI) systems in complex and uncertain environments
Externí odkaz:
http://arxiv.org/abs/2404.08285
Autor:
You, Chenyu, Dai, Weicheng, Liu, Fenglin, Min, Yifei, Su, Haoran, Zhang, Xiaoran, Li, Xiaoxiao, Clifton, David A., Staib, Lawrence, Duncan, James S.
Recent studies on contrastive learning have achieved remarkable performance solely by leveraging few labels in the context of medical image segmentation. Existing methods mainly focus on instance discrimination and invariant mapping. However, they fa
Externí odkaz:
http://arxiv.org/abs/2209.13476
Autor:
Su, Haoran1,2,3 (AUTHOR), Wang, Mengge2,4,5 (AUTHOR) Menggewang2021@163.com, Li, Xiangping2,6 (AUTHOR), Duan, Shuhan2,5,7 (AUTHOR), Sun, Qiuxia2,8 (AUTHOR), Sun, Yuntao2,9 (AUTHOR), Wang, Zhiyong2,6 (AUTHOR), Yang, Qingxin2,6 (AUTHOR), Huang, Yuguo2 (AUTHOR), Zhong, Jie2 (AUTHOR), Chen, Jing2,10 (AUTHOR), Jiang, Xiucheng2,5,7 (AUTHOR), Ma, Jinyue2,5,7 (AUTHOR), Yang, Ting2,6 (AUTHOR), Liu, Yunhui2,8 (AUTHOR), Luo, Lintao2,8 (AUTHOR), Liu, Yan2,5,7 (AUTHOR), Yang, Junbao5,7 (AUTHOR), Chen, Gang11 (AUTHOR), Liu, Chao12 (AUTHOR) liuchaogzf@163.com
Publikováno v:
BMC Genomics. 6/18/2024, Vol. 25 Issue 1, p1-20. 20p.
Publikováno v:
Transportation Research Part C: Emerging Technologies Volume 146, January 2023, 103955
Emergency vehicles (EMVs) play a crucial role in responding to time-critical calls such as medical emergencies and fire outbreaks in urban areas. Existing methods for EMV dispatch typically optimize routes based on historical traffic-flow data and de
Externí odkaz:
http://arxiv.org/abs/2206.13441
Autor:
Lian, Tingting, Zhang, Weijia, Su, Haoran, Yu, Qing, Zhang, Hongxin, Zou, Qingcui, Chen, Haowei, Xiong, Wenjing, Zhang, Nan, Wang, Ke, Zhao, Ling, Fu, Zhen F., Cui, Min
Publikováno v:
In Microbes and Infection July-August 2024 26(5-6)
Autor:
Li, Xiangping, Wang, Mengge, Su, Haoran, Duan, Shuhan, Sun, Yuntao, Chen, Hongyu, Wang, Zhiyong, Sun, Qiuxia, Yang, Qingxin, Chen, Jing, Yang, Ting, Huang, Yuguo, Zhong, Jie, Jiang, Xiucheng, Ma, Jinyue, Chen, Shijia, Liu, Yunhui, Luo, Lintao, Lin, Xinyu, Nie, Shengjie, Liu, Chao, Hu, Liping, He, Guanglin
Publikováno v:
In hLife June 2024 2(6):296-313
Autor:
Sun, Yuntao, Wang, Mengge, Sun, Qiuxia, Liu, Yan, Duan, Shuhan, Wang, Zhiyong, Zhou, Yunyu, Zhong, Jun, Huang, Yuguo, Huang, Xinyu, Yang, Qingxin, Li, Xiangping, Su, Haoran, Cai, Yan, Jiang, Xiucheng, Chen, Jing, Yan, Jiangwei, Nie, Shengjie, Hu, Liping, Yang, Junbao, Tang, Renkuan, Wang, Chuan-Chao, Liu, Chao, Deng, Xiaohui, Yun, Libing, He, Guanglin
Publikováno v:
In Journal of Genetics and Genomics May 2024 51(5):517-530
Emergency vehicles (EMVs) play a critical role in a city's response to time-critical events such as medical emergencies and fire outbreaks. The existing approaches to reduce EMV travel time employ route optimization and traffic signal pre-emption wit
Externí odkaz:
http://arxiv.org/abs/2111.00278
Emergency vehicles (EMVs) play a crucial role in responding to time-critical events such as medical emergencies and fire outbreaks in an urban area. The less time EMVs spend traveling through the traffic, the more likely it would help save people's l
Externí odkaz:
http://arxiv.org/abs/2109.05429
Autor:
Duan, Shuhan, Wang, Mengge, Wang, Zhiyong, Liu, Yan, Jiang, Xiucheng, Su, Haoran, Cai, Yan, Sun, Qiuxia, Sun, Yuntao, Li, Xiangping, Chen, Jing, Zhang, Yijiu, Yan, Jiangwei, Nie, Shengjie, Hu, Liping, Tang, Renkuan, Yun, Libing, Wang, Chuan-Chao, Liu, Chao, Yang, Junbao, He, Guanglin
Publikováno v:
In Heliyon 30 April 2024 10(8)