Zobrazeno 1 - 10
of 693
pro vyhledávání: '"Li Jialong"'
Publikováno v:
Jixie chuandong, Vol 48, Pp 148-157 (2024)
Underwater robot has been widely used to carry out a variety of underwater inspection and maintenance operations instead of human beings, in which the adsorption structure is an important unit for the robot to face all kinds of complex slope and elev
Externí odkaz:
https://doaj.org/article/d575a22c8a8f4b859ccd6d2ff734afef
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 40, Iss 03, Pp 258-269 (2023)
Magnetic resonance (MR) effective transverse relaxation rate (R∗2) technique has been widely applied for assessing hepatic iron concentration. However,R∗2 mapping of iron-loaded liver can be severely degraded by noise. With the development of dee
Externí odkaz:
https://doaj.org/article/f7c39280b4b149e09865b4b4c5ecf6eb
Publikováno v:
Jixie chuandong, Pp 1-10 (2023)
Underwater robot has been widely used to carry out a variety of underwater inspection and maintenance operations instead of human beings, in which the adsorption structure is an important unit for the robot to face all kinds of complex slope and elev
Externí odkaz:
https://doaj.org/article/0b06911c011144d89d6122cb671139f5
Optimizing Mixture-of-Experts Inference Time Combining Model Deployment and Communication Scheduling
As machine learning models scale in size and complexity, their computational requirements become a significant barrier. Mixture-of-Experts (MoE) models alleviate this issue by selectively activating relevant experts. Despite this, MoE models are hind
Externí odkaz:
http://arxiv.org/abs/2410.17043
Optical data center networks (DCNs) are renovating the infrastructure design for the cloud in the post Moore's law era. The fact that optical DCNs rely on optical circuits of microsecond-scale durations makes nanosecond-precision time synchronization
Externí odkaz:
http://arxiv.org/abs/2410.17012
Autor:
Li, Jialong, Zhang, Zhicheng, Chen, Yunwei, Lu, Qiqi, Wu, Ye, Liu, Xiaoming, Feng, QianJin, Feng, Yanqiu, Zhang, Xinyuan
Diffusion tensor imaging (DTI) holds significant importance in clinical diagnosis and neuroscience research. However, conventional model-based fitting methods often suffer from sensitivity to noise, leading to decreased accuracy in estimating DTI par
Externí odkaz:
http://arxiv.org/abs/2409.02492
Autor:
Yang, Shiqi, Liu, Minghuan, Qin, Yuzhe, Ding, Runyu, Li, Jialong, Cheng, Xuxin, Yang, Ruihan, Yi, Sha, Wang, Xiaolong
Learning from demonstrations has shown to be an effective approach to robotic manipulation, especially with the recently collected large-scale robot data with teleoperation systems. Building an efficient teleoperation system across diverse robot plat
Externí odkaz:
http://arxiv.org/abs/2408.11805
Diffusion models, which leverage stochastic processes to capture complex data distributions effectively, have shown their performance as generative models, achieving notable success in image-related tasks through iterative denoising processes. Recent
Externí odkaz:
http://arxiv.org/abs/2408.10266
People with color vision deficiency often face challenges in distinguishing colors such as red and green, which can complicate daily tasks and require the use of assistive tools or environmental adjustments. Current support tools mainly focus on pres
Externí odkaz:
http://arxiv.org/abs/2407.04362
Rule-based adaptation is a foundational approach to self-adaptation, characterized by its human readability and rapid response. However, building high-performance and robust adaptation rules is often a challenge because it essentially involves search
Externí odkaz:
http://arxiv.org/abs/2407.02203