Zobrazeno 1 - 10
of 170
pro vyhledávání: '"He, Xiaoxi"'
Machine-based brain tumor segmentation can help doctors make better diagnoses. However, the complex structure of brain tumors and expensive pixel-level annotations present challenges for automatic tumor segmentation. In this paper, we propose a count
Externí odkaz:
http://arxiv.org/abs/2408.01191
In this paper, we present a novel method to significantly enhance the computational efficiency of Adaptive Spatial-Temporal Graph Neural Networks (ASTGNNs) by introducing the concept of the Graph Winning Ticket (GWT), derived from the Lottery Ticket
Externí odkaz:
http://arxiv.org/abs/2406.08287
Intelligent robots are designed to effectively navigate dynamic and unpredictable environments laden with moving mechanical elements and objects. Such environment-induced dynamics, including moving obstacles, can readily alter the computational deman
Externí odkaz:
http://arxiv.org/abs/2308.15368
Traffic prediction is essential for the progression of Intelligent Transportation Systems (ITS) and the vision of smart cities. While Spatial-Temporal Graph Neural Networks (STGNNs) have shown promise in this domain by leveraging Graph Neural Network
Externí odkaz:
http://arxiv.org/abs/2308.10276
Future intelligent robots are expected to process multiple inputs simultaneously (such as image and audio data) and generate multiple outputs accordingly (such as gender and emotion), similar to humans. Recent research has shown that multi-input sing
Externí odkaz:
http://arxiv.org/abs/2307.11962
Spatial-temporal graph models are prevailing for abstracting and modelling spatial and temporal dependencies. In this work, we ask the following question: whether and to what extent can we localise spatial-temporal graph models? We limit our scope to
Externí odkaz:
http://arxiv.org/abs/2306.06930
While the deployment of deep learning models on edge devices is increasing, these models often lack robustness when faced with dynamic changes in sensed data. This can be attributed to sensor drift, or variations in the data compared to what was used
Externí odkaz:
http://arxiv.org/abs/2305.13536
Time series forecasting has widespread applications in urban life ranging from air quality monitoring to traffic analysis. However, accurate time series forecasting is challenging because real-world time series suffer from the distribution shift prob
Externí odkaz:
http://arxiv.org/abs/2202.10808
Autor:
Zhang, Bowen, He, Xiaoxi, Zhang, Mingchen, Cai, Zhigang, Wang, Fujuan, Zhang, Mu-Shui, Liang, Yan, Wang, Zixin
Publikováno v:
In Optics Communications 1 December 2024 572
Autor:
Zhang, Yang, Wang, Depeng, Tan, Daotong, Zou, Anqi, Wang, Zhe, Gong, Hao, Yang, Yu, Sun, Lishan, Lin, Xiaoliang, Liang, Ming, Yu, Yi, He, Xiaoxi, Yu, Guangli, Wang, Wei, Cai, Chao
Publikováno v:
In Carbohydrate Polymers 15 July 2024 336