Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Yang, Zhenhuan"'
Autor:
Yang, Zhenhuan
The growing trend of internationalization in higher education underscores the importance of cross-national studies, particularly in the area of curricula, to facilitate learning and understanding among nations. This study examined undergraduate and g
Externí odkaz:
http://hdl.handle.net/10919/116144
Autor:
Lin, Li, Krubha, Yamini Sri, Yang, Zhenhuan, Ren, Cheng, Le, Thuc Duy, Amerini, Irene, Wang, Xin, Hu, Shu
In the realm of medical imaging, particularly for COVID-19 detection, deep learning models face substantial challenges such as the necessity for extensive computational resources, the paucity of well-annotated datasets, and a significant amount of un
Externí odkaz:
http://arxiv.org/abs/2403.08947
Supervised learning models are challenged by the intrinsic complexities of training data such as outliers and minority subpopulations and intentional attacks at inference time with adversarial samples. While traditional robust learning methods and th
Externí odkaz:
http://arxiv.org/abs/2309.05145
Recently, there has been an increasing adoption of differential privacy guided algorithms for privacy-preserving machine learning tasks. However, the use of such algorithms comes with trade-offs in terms of algorithmic fairness, which has been widely
Externí odkaz:
http://arxiv.org/abs/2303.09527
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 6, Pp 49-53 (2024)
Objective As a braking mode,electromechanical brake adopts the motor controlled screw rod drive to implement the pushing action, making the brake shoe to contact with the wheel and complete the transmission of brake force and friction brake. It is ne
Externí odkaz:
https://doaj.org/article/b70e9ea12746494a9dee8a56d2039397
The use of machine learning models in consequential decision making often exacerbates societal inequity, in particular yielding disparate impact on members of marginalized groups defined by race and gender. The area under the ROC curve (AUC) is widel
Externí odkaz:
http://arxiv.org/abs/2208.10451
Autor:
Li, Haoqian, Wang, Yong, Zeng, Jing, Li, Fansong, Yang, Zhenhuan, Mei, Guiming, Gao, Hao, Ye, Yunguang
Publikováno v:
In Mechanical Systems and Signal Processing 15 January 2025 223
Stochastic gradient descent ascent (SGDA) and its variants have been the workhorse for solving minimax problems. However, in contrast to the well-studied stochastic gradient descent (SGD) with differential privacy (DP) constraints, there is little wo
Externí odkaz:
http://arxiv.org/abs/2201.09046
Pairwise learning refers to learning tasks where the loss function depends on a pair of instances. It instantiates many important machine learning tasks such as bipartite ranking and metric learning. A popular approach to handle streaming data in pai
Externí odkaz:
http://arxiv.org/abs/2111.12050
Publikováno v:
In Reliability Engineering and System Safety June 2024 246