Zobrazeno 1 - 10
of 30 355
pro vyhledávání: '"Wang, Ling"'
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
Autor:
Wang, Hongyang, Zhao, Yijing, Wu, Hao, Wang, Ling, Wu, Zhixing, Geng, Zhihui, Xiao, Jiewen, Xue, Weiwei, Ye, Shufeng, Chen, Ning, Qiao, Xianfeng, Yao, Yao
Through heavily doping sulfur into an apatite framework, we synthesize a new blend mainly comprising variant apatite and covellite (copper sulfide). Magnetic measurement exhibits that significant diamagnetism appears at around 260 K and drops dramati
Externí odkaz:
http://arxiv.org/abs/2406.17525
This article studies the control ideas of the optimal backstepping technique, proposing an event-triggered optimal tracking control scheme for a class of strict-feedback nonlinear systems with non-affine and nonlinear faults. A simplified identifier-
Externí odkaz:
http://arxiv.org/abs/2406.07870
Skeleton-based action representation learning aims to interpret and understand human behaviors by encoding the skeleton sequences, which can be categorized into two primary training paradigms: supervised learning and self-supervised learning. However
Externí odkaz:
http://arxiv.org/abs/2405.20606