Zobrazeno 1 - 10
of 18 864
pro vyhledávání: '"Songtao An"'
AllReduce is an important and popular collective communication primitive, which has been widely used in areas such as distributed machine learning and high performance computing. To design, analyze, and choose from various algorithms and implementati
Externí odkaz:
http://arxiv.org/abs/2409.04202
Autor:
Zhou, Yixuan, Qin, Xiaoyu, Jin, Zeyu, Zhou, Shuoyi, Lei, Shun, Zhou, Songtao, Wu, Zhiyong, Jia, Jia
Recent AIGC systems possess the capability to generate digital multimedia content based on human language instructions, such as text, image and video. However, when it comes to speech, existing methods related to human instruction-to-speech generatio
Externí odkaz:
http://arxiv.org/abs/2408.15676
Autor:
Jin, Zeyu, Jia, Jia, Wang, Qixin, Li, Kehan, Zhou, Shuoyi, Zhou, Songtao, Qin, Xiaoyu, Wu, Zhiyong
Speech-language multi-modal learning presents a significant challenge due to the fine nuanced information inherent in speech styles. Therefore, a large-scale dataset providing elaborate comprehension of speech style is urgently needed to facilitate i
Externí odkaz:
http://arxiv.org/abs/2408.13608
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, Volume: 24, Issue: 4, pp. 1125 - 1136, 2020
The presence of hyperreflective foci (HFs) is related to retinal disease progression, and the quantity has proven to be a prognostic factor of visual and anatomical outcome in various retinal diseases. However, lack of efficient quantitative tools fo
Externí odkaz:
http://arxiv.org/abs/2407.21272
Federated learning (FL) has emerged as a widely adopted training paradigm for privacy-preserving machine learning. While the SGD-based FL algorithms have demonstrated considerable success in the past, there is a growing trend towards adopting adaptiv
Externí odkaz:
http://arxiv.org/abs/2407.18365
Autor:
Huang, Songtao, Ji, Yunpeng, Repplinger, Thomas, Assumpção, Gabriel G. T., Chen, Jianyi, Schumacher, Grant L., Vivanco, Franklin J., Kurkjian, Hadrien, Navon, Nir
Landau's Fermi-liquid (FL) theory has been successful at the phenomenological description of the normal phase of many different Fermi systems. Using a dilute atomic Fermi fluid with tunable interactions, we investigate the microscopic basis of Landau
Externí odkaz:
http://arxiv.org/abs/2407.13769
User comments on social media have been recognized as a crucial factor in distinguishing between fake and real news, with many studies focusing on the textual content of user reactions. However, the interactions among agents in the comment sections f
Externí odkaz:
http://arxiv.org/abs/2407.05083
Autor:
Tong, Qiang, Wang, Jinrui, Yang, Wenshuang, Wu, Songtao, Zhang, Wenqi, Sun, Chen, Xu, Kuanhong
The utilization of AIoT technology has become a crucial trend in modern poultry management, offering the potential to optimize farming operations and reduce human workloads. This paper presents a real-time and compact edge-AI enabled detector designe
Externí odkaz:
http://arxiv.org/abs/2407.09562
Publikováno v:
Drug Delivery, Vol 28, Iss 1, Pp 285-292 (2021)
In relieving local pains, lidocaine, one of ester-type local anesthetics, has been used. To develop the lidocaine membranes of enhanced local anesthetic effects, we have designed to establish the composition of wound dressings based on lidocaine chlo
Externí odkaz:
https://doaj.org/article/e16e7af61e4c44338753ba3c3a0f26ec
Autor:
Fang, Minghong, Zhang, Zifan, Hairi, Khanduri, Prashant, Liu, Jia, Lu, Songtao, Liu, Yuchen, Gong, Neil
Federated learning (FL) enables multiple clients to collaboratively train machine learning models without revealing their private training data. In conventional FL, the system follows the server-assisted architecture (server-assisted FL), where the t
Externí odkaz:
http://arxiv.org/abs/2406.10416