Zobrazeno 1 - 10
of 489
pro vyhledávání: '"Wu, Keke"'
Autor:
Wu, Keke, Quadri, Ghulam Jilani, Wang, Arran Zeyu, Osei-Tutu, David Kwame, Petersen, Emma, Koushik, Varsha, Szafir, Danielle Albers
Individuals with Intellectual and Developmental Disabilities (IDD) have unique needs and challenges when working with data. While visualization aims to make data more accessible to a broad audience, our understanding of how to design cognitively acce
Externí odkaz:
http://arxiv.org/abs/2408.16072
Full-waveform inversion (FWI) is a powerful geophysical imaging technique that infers high-resolution subsurface physical parameters by solving a non-convex optimization problem. However, due to limitations in observation, e.g., limited shots or rece
Externí odkaz:
http://arxiv.org/abs/2311.04531
Autor:
Wu, Keke, Szafir, Danielle Albers
Data has transformative potential to empower people with Intellectual and Developmental Disabilities (IDD). However, conventional data visualizations often rely on complex cognitive processes, and existing approaches for day-to-day analysis scenarios
Externí odkaz:
http://arxiv.org/abs/2309.12194
In this paper, we introduce two types of novel Asymptotic-Preserving Convolutional Deep Operator Networks (APCONs) designed to address the multiscale time-dependent linear transport problem. We observe that the vanilla physics-informed DeepONets with
Externí odkaz:
http://arxiv.org/abs/2306.15891
In this paper, we present two novel Asymptotic-Preserving Neural Networks (APNNs) for tackling multiscale time-dependent kinetic problems, encompassing the linear transport equation and Bhatnagar-Gross-Krook (BGK) equation with diffusive scaling. Our
Externí odkaz:
http://arxiv.org/abs/2306.15381
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), April 23-28, 2023, Hamburg, Germany
Data is everywhere but may not be accessible to everyone. Conventional data visualization tools and guidelines often do not actively consider the specific needs and abilities of people with Intellectual and Developmental Disabilities (IDD), leaving t
Externí odkaz:
http://arxiv.org/abs/2303.05655
In this paper we develop a neural network for the numerical simulation of time-dependent linear transport equations with diffusive scaling and uncertainties. The goal of the network is to resolve the computational challenges of curse-of-dimensionalit
Externí odkaz:
http://arxiv.org/abs/2111.02541
Autor:
Zhang, Zixi, Xiao, Yichao, Wang, Cancan, Zhou, Jiabao, Lin, Qiuzhen, Tu, Tao, Wu, Keke, Huang, Yunying, Zhang, Zeying, Liu, Chan, Liu, Qiming
Publikováno v:
In International Journal of Cardiology 15 July 2024 407
Publikováno v:
In Journal of Banking and Finance June 2024 163
Autor:
Li, Fanqi, Lin, Qiuzhen, Zhou, Jiabao, Zhu, Jiayi, Zhou, Yong, Wu, Keke, Li, Qiuyu, Zhao, Donghui, Liu, Qiming
Publikováno v:
In Nutrition, Metabolism and Cardiovascular Diseases June 2024 34(6):1538-1545