Zobrazeno 1 - 10
of 3 518
pro vyhledávání: '"WANG Xiangdong"'
Autor:
Xu Manman, Cao Chuqing, Fu Yili, Wu Yonghong, Wang Xiangdong, Su Yongsheng, Xi Lin, Liu Yongming
Publikováno v:
Nukleonika, Vol 69, Iss 4, Pp 185-193 (2024)
Superconducting cyclotron can generate high-energy proton beams and are mainly used for radiation therapy of tumors and cancers. In the superconducting cyclotron SC200, the maximum magnetic induction intensity can typically reach up to 4.6 T, and the
Externí odkaz:
https://doaj.org/article/c01dcbfffe8f4541a3d40177ddfc1ba8
Autor:
MA Xiaoming, LI Ruiping, YAN Zhiyuan, LI Xinlei, LI Zhengzhong, PAN Hongmei, WANG Xiangdong, LI Yumin
Publikováno v:
Guan'gai paishui xuebao, Vol 41, Iss 11, Pp 6-13 (2022)
【Objective】 Hetao irrigation district is one of the largest surface water-irrigation districts in north China. Keeping groundwater table below a critical depth is essential to preventing salt accumulation in the root zone, and the purpose of this
Externí odkaz:
https://doaj.org/article/4e975fd77d154b92bda15a759edc1db8
Autor:
Wang, Ziteng, Bongiovanni, Domenico, Wang, Xiangdong, Hu, Zhichan, Jukić, Dario, Song, Daohong, Xu, Jingjun, Morandotti, Roberto, Chen, Zhigang, Buljan, Hrvoje
The discovery of topological phases of matter and topological boundary states had tremendous impact on condensed matter physics and photonics, where topological phases are defined via energy bands, giving rise to topological band theory. However, top
Externí odkaz:
http://arxiv.org/abs/2411.11121
Computer-aided cancer survival risk prediction plays an important role in the timely treatment of patients. This is a challenging weakly supervised ordinal regression task associated with multiple clinical factors involved such as pathological images
Externí odkaz:
http://arxiv.org/abs/2409.02145
Recent advances have been witnessed in audio-language joint learning, such as CLAP, that shows much success in multi-modal understanding tasks. These models usually aggregate uni-modal local representations, namely frame or word features, into global
Externí odkaz:
http://arxiv.org/abs/2408.07919
Cancer survival prediction is a challenging task that involves analyzing of the tumor microenvironment within Whole Slide Image (WSI). Previous methods cannot effectively capture the intricate interaction features among instances within the local are
Externí odkaz:
http://arxiv.org/abs/2407.00664
Autor:
Tao, Rui, Huang, Yuxing, Wang, Xiangdong, Yan, Long, Zhai, Lufeng, Ouchi, Kazushige, Li, Taihao
Weakly-supervised learning has emerged as a promising approach to leverage limited labeled data in various domains by bridging the gap between fully supervised methods and unsupervised techniques. Acquisition of strong annotations for detecting sound
Externí odkaz:
http://arxiv.org/abs/2309.11783
Contrastive Language-Audio Pretraining (CLAP) is pre-trained to associate audio features with human language, making it a natural zero-shot classifier to recognize unseen sound categories. To adapt CLAP to downstream tasks, prior works inevitably req
Externí odkaz:
http://arxiv.org/abs/2309.08357
Learning meaningful frame-wise features on a partially labeled dataset is crucial to semi-supervised sound event detection. Prior works either maintain consistency on frame-level predictions or seek feature-level similarity among neighboring frames,
Externí odkaz:
http://arxiv.org/abs/2309.08355