Zobrazeno 1 - 10
of 30 904
pro vyhledávání: '"Wang,Ling"'
Autor:
Sun, Kai, Xue, Siyan, Sun, Fuchun, Sun, Haoran, Luo, Yu, Wang, Ling, Wang, Siyuan, Guo, Na, Liu, Lei, Zhao, Tian, Wang, Xinzhou, Yang, Lei, Jin, Shuo, Yan, Jun, Dong, Jiahong
Recent advancements in deep learning have significantly revolutionized the field of clinical diagnosis and treatment, offering novel approaches to improve diagnostic precision and treatment efficacy across diverse clinical domains, thus driving the p
Externí odkaz:
http://arxiv.org/abs/2412.02621
Solving constrained multi-objective optimization problems (CMOPs) is a challenging task. While many practical algorithms have been developed to tackle CMOPs, real-world scenarios often present cases where the constraint functions are unknown or unqua
Externí odkaz:
http://arxiv.org/abs/2411.08437
With the popularization of high-end mobile devices, Ultra-high-definition (UHD) images have become ubiquitous in our lives. The restoration of UHD images is a highly challenging problem due to the exaggerated pixel count, which often leads to memory
Externí odkaz:
http://arxiv.org/abs/2411.06456
Can we directly visualize what we imagine in our brain together with what we describe? The inherent nature of human perception reveals that, when we think, our body can combine language description and build a vivid picture in our brain. Intuitively,
Externí odkaz:
http://arxiv.org/abs/2409.14021
Autonomous vehicles and robots often struggle with reliable visual perception at night due to the low illumination and motion blur caused by the long exposure time of RGB cameras. Existing methods address this challenge by sequentially connecting the
Externí odkaz:
http://arxiv.org/abs/2409.13496
Dynamic graphs (DG) are often used to describe evolving interactions between nodes in real-world applications. Temporal patterns are a natural feature of DGs and are also key to representation learning. However, existing dynamic GCN models are mostly
Externí odkaz:
http://arxiv.org/abs/2408.02704
Recently, several pulsar timing array (PTA) projects have detected evidence of the existence of a stochastic gravitational wave background (SGWB) in the nanohertz frequency band, providing confidence in detecting individual supermassive black hole bi
Externí odkaz:
http://arxiv.org/abs/2408.00609
The exploration of neural network quantum states has become widespread in the studies of complicated quantum many-body systems. However, achieving high precision remains challenging due to the exponential growth of Hilbert space size and the intricat
Externí odkaz:
http://arxiv.org/abs/2407.20065
Learning policies for multi-entity systems in 3D environments is far more complicated against single-entity scenarios, due to the exponential expansion of the global state space as the number of entities increases. One potential solution of alleviati
Externí odkaz:
http://arxiv.org/abs/2407.12505
Recently, electroencephalography (EEG) signals have been actively incorporated to decode brain activity to visual or textual stimuli and achieve object recognition in multi-modal AI. Accordingly, endeavors have been focused on building EEG-based data
Externí odkaz:
http://arxiv.org/abs/2407.01884