Zobrazeno 1 - 10
of 292
pro vyhledávání: '"Zhu, Keyu"'
Autor:
Zhai, Jiyuan, Pan, Weimin, He, Feisi, Ge, Rui, Mi, Zhenghui, Sha, Peng, Jin, Song, Han, Ruixiong, Wang, Qunyao, Lin, Haiying, Wang, Guangwei, Li, Mei, Sang, Minjing, Sun, Liangrui, Ye, Rui, Zhao, Tongxian, Li, Shaopeng, Zhu, Keyu, Liu, Baiqi, Wang, Xiaolong, Yang, Xiangchen, Bian, Xiaojuan, Zhang, Xiangzhen, Ma, Huizhou, Dai, Xuwen, Zhang, Zhanjun, Zhang, Liang, Zhao, Hui, Guo, Runbing, Mu, Zhihui, Yang, Conglai, Zheng, Xiaobing, Dong, Chao, Huang, Tongming, Ma, Qiang, Zheng, Hongjuan, Liu, Ming, Wang, Zihan, Zhou, Wenzhong
World's first 1.3 GHz cryomodule containing eight 9-cell superconducting radio-frequency (RF) cavities treated by medium-temperature furnace baking (mid-T bake) was developed, assembled and tested at IHEP for the Dalian Advanced Light Source (DALS) a
Externí odkaz:
http://arxiv.org/abs/2312.01175
Impacts of Differential Privacy on Fostering more Racially and Ethnically Diverse Elementary Schools
In the face of increasingly severe privacy threats in the era of data and AI, the US Census Bureau has recently adopted differential privacy, the de facto standard of privacy protection for the 2020 Census release. Enforcing differential privacy invo
Externí odkaz:
http://arxiv.org/abs/2305.07762
Disclosure avoidance (DA) systems are used to safeguard the confidentiality of data while allowing it to be analyzed and disseminated for analytic purposes. These methods, e.g., cell suppression, swapping, and k-anonymity, are commonly applied and ma
Externí odkaz:
http://arxiv.org/abs/2301.12204
The remarkable performance of deep learning models and their applications in consequential domains (e.g., facial recognition) introduces important challenges at the intersection of equity and security. Fairness and robustness are two desired notions
Externí odkaz:
http://arxiv.org/abs/2211.11835
A critical concern in data-driven processes is to build models whose outcomes do not discriminate against some demographic groups, including gender, ethnicity, or age. To ensure non-discrimination in learning tasks, knowledge of the group attributes
Externí odkaz:
http://arxiv.org/abs/2204.05157
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI 2022). Pages 5470-5477
This paper surveys recent work in the intersection of differential privacy (DP) and fairness. It reviews the conditions under which privacy and fairness may have aligned or contrasting goals, analyzes how and why DP may exacerbate bias and unfairness
Externí odkaz:
http://arxiv.org/abs/2202.08187
Autor:
Pan, Weimin, Ge, Rui, Li, Mei, Han, Ruixiong, Sun, Liangrui, He, Feisi, Zhai, Jiyuan, Li, Shaopeng, Sang, Minjing, Ye, Rui, Zhao, Tongxian, Zhang, Xiangzhen, Yang, Xiaochen, Zhu, Keyu, Chang, Zhengze, Ma, Changcheng, Mi, Zhenghui, Sha, Peng, Jin, Song, Zhou, Wenzhong, Zhang, Zhanjun, Wang, Zihan, Liu, Ming
Publikováno v:
In Applied Thermal Engineering 15 October 2024 255
Publikováno v:
In Chinese Journal of Aeronautics October 2024 37(10):265-274
Publikováno v:
In Advanced Engineering Informatics October 2024 62 Part B
Autor:
Han, Ruixiong, Zhang, Xiangzhen, Ge, Rui, Geng, Haipeng, Xu, Hao, Lin, Hao, Jiang, Yongcheng, Zhang, Jiehao, Sang, Minjing, Zhao, Tongxian, Zhang, Zhuo, Ma, Changcheng, Ye, Rui, Yang, Xiaochen, Chang, Zhengze, Li, Mei, Xu, Miaofu, Sun, Liangrui, Zhu, Keyu, Li, Shaopeng
Publikováno v:
In Cryogenics September 2024 142