Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Erran Li"'
Autor:
Zhibo Liu, Yuping Li, Xinlun Tian, Qinghua Liu, Erran Li, Xiaoying Gu, Min Liu, Jiuyang Xu, Zhiyi He, Yi Huang, Shuyun Xu, Guoxiang Lai, Yusheng Chen, Xiangyan Zhang, Tiantuo Zhang, Jinfu Xu, Lanyan Zhu, Jieming Qu, Bin Cao
Publikováno v:
Respiratory Research, Vol 21, Iss 1, Pp 1-8 (2020)
Abstract Background The European Organization for Research and Treatment of Cancer/Mycoses Study Group (EORTC/MSG) criteria are widely used in the diagnosis of invasive pulmonary aspergillosis (IPA), but they only apply to immunocompromised patients.
Externí odkaz:
https://doaj.org/article/ead53c1bcd4645e18214aa27413e04b8
Autor:
Wang, Yan, Chen, Xiangyu, You, Yurong, Erran, Li, Hariharan, Bharath, Campbell, Mark, Weinberger, Kilian Q., Chao, Wei-Lun
In the domain of autonomous driving, deep learning has substantially improved the 3D object detection accuracy for LiDAR and stereo camera data alike. While deep networks are great at generalization, they are also notorious to over-fit to all kinds o
Externí odkaz:
http://arxiv.org/abs/2005.08139
Publikováno v:
Oncotarget. 12:1966-1969
Autor:
Ruihan Qi, Hongchun Zhang, Demin Li, Feng Gao, Qing Miao, Sheng Chen, Yan Huang, Lei Wu, Zhenhui Lu, Haibo Hu, Erran Li, Zhibin Chen
Publikováno v:
Evidence-based complementary and alternative medicine : eCAM. 2022
Purpose. The study aimed to explore the efficacy and safety of Xinjia Xuanbai Chengqi granules (XJXBCQ) combined with conventional medicine in the treatment of acute exacerbation of chronic pulmonary disease (AECOPD). Patients and Methods. This multi
Publikováno v:
ICASSP
Spoken language understanding (SLU) is the task of inferring the semantics of spoken utterances. Traditionally, this has been achieved with a cascading combination of Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) modules
Publikováno v:
CVPR
Monocular 3D prediction is one of the fundamental problems in 3D vision. Recent deep learning-based approaches have brought us exciting progress on this problem. However, existing approaches have predominantly focused on end-to-end depth and normal p
Publikováno v:
Proceedings of the Third Workshop on Multimodal Artificial Intelligence.
Recent vision-language understanding approaches adopt a multi-modal transformer pre-training and finetuning paradigm. Prior work learns representations of text tokens and visual features with cross-attention mechanisms and captures the alignment sole
Publikováno v:
Findings of the Association for Computational Linguistics: EMNLP 2021.
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
High automated vehicles rely on the computing system in the car to understand the environment and make driving decisions. Therefore, computing system design is essential for ensuring the driving safety. However, to our knowledge, no clear guideline e
Autor:
Jieming Qu, Xiaoying Gu, Tian-tuo Zhang, Yusheng Chen, Bin Cao, Jiuyang Xu, Yuping Li, Lanyan Zhu, Qinghua Liu, Xinlun Tian, Erran Li, Shuyun Xu, Zhiyi He, Yi Huang, Jin-Fu Xu, Zhibo Liu, Min Liu, Xiang-Yan Zhang, Guoxiang Lai
Publikováno v:
Respiratory Research
Respiratory Research, Vol 21, Iss 1, Pp 1-8 (2020)
Respiratory Research, Vol 21, Iss 1, Pp 1-8 (2020)
Background The European Organization for Research and Treatment of Cancer/Mycoses Study Group (EORTC/MSG) criteria are widely used in the diagnosis of invasive pulmonary aspergillosis (IPA), but they only apply to immunocompromised patients. We here