Zobrazeno 101 - 110
of 39 405
pro vyhledávání: '"Wang, Ping"'
Event Detection (ED) is an important task in natural language processing. In the past few years, many datasets have been introduced for advancing ED machine learning models. However, most of these datasets are under-explored because not many tools ar
Externí odkaz:
http://arxiv.org/abs/2204.12456
Autor:
Cai, Ce, Xiong, Shaolin, Lin, Lin, Li, Chengkui, Zhang, Shuangnan, Xue, Wangchen, Tuo, Youli, Li, Xiaobo, Ge, Mingyu, Zhao, Haisheng, Song, Liming, Lu, Fangjun, Zhang, Shu, Li, Qingxin, Xiao, Shuo, Guo, Zhiwei, Xie, Shenglun, Zhang, Yanqiu, Yi, Qibin, Zhao, Yi, Zhang, Zhen, Liu, Jiacong, Zheng, Chao, Wang, Ping
Since April 28, 2020, Insight-HXMT has implemented a dedicated observation on the magnetar SGR J1935+2154. Thanks to the wide energy band (1-250 keV) and high sensitivity of Insight-HXMT, we obtained 75 bursts from SGR J1935+2154 during a month-long
Externí odkaz:
http://arxiv.org/abs/2204.07369
Autor:
Zheng, Zhaohui, Ye, Rongguang, Hou, Qibin, Ren, Dongwei, Wang, Ping, Zuo, Wangmeng, Cheng, Ming-Ming
Previous knowledge distillation (KD) methods for object detection mostly focus on feature imitation instead of mimicking the prediction logits due to its inefficiency in distilling the localization information. In this paper, we investigate whether l
Externí odkaz:
http://arxiv.org/abs/2204.05957
In recent years, deep learning has been successfully adopted in a wide range of applications related to electronic health records (EHRs) such as representation learning and clinical event prediction. However, due to privacy constraints, limited acces
Externí odkaz:
http://arxiv.org/abs/2204.04797
Autor:
Cai, Ce, Xue, Wangchen, Li, Chengkui, Xiong, Shaolin, Zhang, Shuangnan, Lin, Lin, Li, Xiaobo, Ge, Mingyu, Zhao, Haisheng, Song, Liming, Lu, Fangjun, Zhang, Shu, Zhang, Yanqiu, Xiao, Shuo, Tuo, Youli, Yi, Qibin, Guo, Zhiwei, Xie, Shenglun, Zhao, Yi, Zhang, Zhen, Li, Qingxin, Liu, Jiacong, Zheng, Chao, Wang, Ping
Magnetars are neutron stars with extreme magnetic field and sometimes manifest as soft gamma-ray repeaters (SGRs). SGR J1935+2154 is one of the most prolific bursters and the first confirmed source of fast radio burst (i.e. FRB 200428). Encouraged by
Externí odkaz:
http://arxiv.org/abs/2203.16855
The Internet of Things (IoT) has been continuously rising in the past few years, and its potentials are now more apparent. However, transient data generation and limited energy resources are the major bottlenecks of these networks. Besides, minimum d
Externí odkaz:
http://arxiv.org/abs/2203.12674
Unsupervised pre-training has been proven as an effective approach to boost various downstream tasks given limited labeled data. Among various methods, contrastive learning learns a discriminative representation by constructing positive and negative
Externí odkaz:
http://arxiv.org/abs/2202.02371
Autor:
Wang, Ping.
Publikováno v:
Full thesis. Abstract..
Thesis (MHSc--Health Science) -- Auckland University of Technology, 2004.
Also held in print (202 leaves, 30 cm.) in Akoranga Theses Collection (T 610.951 WAN)
Also held in print (202 leaves, 30 cm.) in Akoranga Theses Collection (T 610.951 WAN)
Autor:
Ye Sunyi, MD, Zhu Yi, MD, He Anbang, MD, Peng Ding, MD, Wang Ping, MD, Xia Dan, MD, Wang Shuo, MD
Publikováno v:
Journal of Vascular Surgery Cases and Innovative Techniques, Vol 10, Iss 2, Pp 101403- (2024)
This study aims to investigate the significance of using the Toumai robotic platform for the resection of inferior vena cava (IVC) hemangiomas. Our objective is to provide information on the potential benefits of this innovative approach in managing
Externí odkaz:
https://doaj.org/article/a934e708d0b24b50aaa1f684699fcca5
In recent years, machine learning - particularly deep learning - has significantly impacted the field of information management. While several strategies have been proposed to restrict models from learning and memorizing sensitive information from ra
Externí odkaz:
http://arxiv.org/abs/2201.00965