Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Huang Yubo"'
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 1077-1083 (2022)
This study aimed to determine the relation of serum uric acid (UA) level with outcomes in adults with candidemia. Medical records of patients with candidemia treated from 2014 to 2017 were retrospectively reviewed. Patients were age- and sex-matched
Externí odkaz:
https://doaj.org/article/460258c3559e4277979dccf56794ed7d
Autor:
Huang, Yubo, Feng, Wenhao, Lai, Xin, Wang, Zixi, Xu, Jingzehua, Zhang, Shuai, He, Hongjie, Chen, Fan
Advanced facial recognition technologies and recommender systems with inadequate privacy technologies and policies for facial interactions increase concerns about bioprivacy violations. With the proliferation of video and live-streaming websites, pub
Externí odkaz:
http://arxiv.org/abs/2409.19306
Autor:
Huang, Yubo, Lai, Xin, Ye, Muyang, Zhu, Anran, Wang, Zixi, Xu, Jingzehua, Zhang, Shuai, Zhou, Zhiyuan, Niu, Weijie
Singing Voice Conversion (SVC) has emerged as a significant subfield of Voice Conversion (VC), enabling the transformation of one singer's voice into another while preserving musical elements such as melody, rhythm, and timbre. Traditional SVC method
Externí odkaz:
http://arxiv.org/abs/2409.08583
Autor:
Chen, Wenjie, Yang, Qi, Liu, Qi, Zhang, Yiqun, He, Liang, Xia, Yuanlin, Wang, Zhuqing, Huang, Yubo, Chen, Jianfeng, Xia, Cao
For traditional capacitive pressure sensors, high nonlinearity and poor sensitivity greatly limited their sensing applications. Hence, an innovative design of capacitors based on spiral comb electrodes is proposed for high-sensitivity pressure detect
Externí odkaz:
http://arxiv.org/abs/2407.08559
Publikováno v:
2023 IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, 2023, pp. 510-515
Iris restoration from complexly degraded iris images, aiming to improve iris recognition performance, is a challenging problem. Due to the complex degradation, directly training a convolutional neural network (CNN) without prior cannot yield satisfac
Externí odkaz:
http://arxiv.org/abs/2407.00261
This study presents a comprehensive approach for optimizing the acquisition, utilization, and maintenance of ABLVR vascular robots in healthcare settings. Medical robotics, particularly in vascular treatments, necessitates precise resource allocation
Externí odkaz:
http://arxiv.org/abs/2403.19484
Autor:
Fu, Chaoyou, Zhang, Renrui, Wang, Zihan, Huang, Yubo, Zhang, Zhengye, Qiu, Longtian, Ye, Gaoxiang, Shen, Yunhang, Zhang, Mengdan, Chen, Peixian, Zhao, Sirui, Lin, Shaohui, Jiang, Deqiang, Yin, Di, Gao, Peng, Li, Ke, Li, Hongsheng, Sun, Xing
The surge of interest towards Multi-modal Large Language Models (MLLMs), e.g., GPT-4V(ision) from OpenAI, has marked a significant trend in both academia and industry. They endow Large Language Models (LLMs) with powerful capabilities in visual under
Externí odkaz:
http://arxiv.org/abs/2312.12436
In reinforcement learning (RL), we always expect the agent to explore as many states as possible in the initial stage of training and exploit the explored information in the subsequent stage to discover the most returnable trajectory. Based on this p
Externí odkaz:
http://arxiv.org/abs/2009.06858
Autor:
Huang, Yubo, Zhang, Weidong
The outbreak of COVID-19 since Dec. 2019 has caused severe life and economic damage worldwide, many countries are trapped by medical resource constraints or absence of targeted therapeutics, and therefore the implement of systemic policies to block t
Externí odkaz:
http://arxiv.org/abs/2004.11626
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