Zobrazeno 1 - 10
of 14 777
pro vyhledávání: '"An, Junchao"'
Implicit graph neural networks (IGNNs), which exhibit strong expressive power with a single layer, have recently demonstrated remarkable performance in capturing long-range dependencies (LRD) in underlying graphs while effectively mitigating the over
Externí odkaz:
http://arxiv.org/abs/2410.08524
Autor:
Gong, Junchao, Tu, Siwei, Yang, Weidong, Fei, Ben, Chen, Kun, Zhang, Wenlong, Yang, Xiaokang, Ouyang, Wanli, Bai, Lei
Precipitation nowcasting plays a pivotal role in socioeconomic sectors, especially in severe convective weather warnings. Although notable progress has been achieved by approaches mining the spatiotemporal correlations with deep learning, these metho
Externí odkaz:
http://arxiv.org/abs/2410.05805
Current humanoid push-recovery strategies often use whole-body motion, yet posture regulation is often overlooked. For instance, during manipulation tasks, the upper body may need to stay upright and have minimal recovery displacement. This paper int
Externí odkaz:
http://arxiv.org/abs/2409.14342
Numerical Weather Prediction (NWP) system is an infrastructure that exerts considerable impacts on modern society.Traditional NWP system, however, resolves it by solving complex partial differential equations with a huge computing cluster, resulting
Externí odkaz:
http://arxiv.org/abs/2409.16321
Data provision, referring to the data upload and data access, is one key phase in vehicular digital forensics. The unique features of Driverless Taxi (DT) bring new issues to this phase: 1) efficient verification of data integrity when diverse Data P
Externí odkaz:
http://arxiv.org/abs/2409.14039
Autor:
Zhu, Junchao, Yin, Mengmeng, Deng, Ruining, Long, Yitian, Wang, Yu, Wang, Yaohong, Zhao, Shilin, Yang, Haichun, Huo, Yuankai
Accurate delineation of the boundaries between the renal cortex and medulla is crucial for subsequent functional structural analysis and disease diagnosis. Training high-quality deep-learning models for layer segmentation relies on the availability o
Externí odkaz:
http://arxiv.org/abs/2408.09278
Autor:
He, Xiao, Tang, Huaao, Tu, Zhijun, Zhang, Junchao, Cheng, Kun, Chen, Hanting, Guo, Yong, Zhu, Mingrui, Wang, Nannan, Gao, Xinbo, Hu, Jie
Diffusion-based image super-resolution (SR) methods have shown promise in reconstructing high-resolution images with fine details from low-resolution counterparts. However, these approaches typically require tens or even hundreds of iterative samplin
Externí odkaz:
http://arxiv.org/abs/2408.07476
Autor:
Zhang, Zhenghao, Liao, Junchao, Li, Menghao, Dai, Zuozhuo, Qiu, Bingxue, Zhu, Siyu, Qin, Long, Wang, Weizhi
Recent advancements in Diffusion Transformer (DiT) have demonstrated remarkable proficiency in producing high-quality video content. Nonetheless, the potential of transformer-based diffusion models for effectively generating videos with controllable
Externí odkaz:
http://arxiv.org/abs/2407.21705
In the realm of blockchain systems, smart contracts have gained widespread adoption owing to their programmability. Consequently, developing a system capable of facilitating high throughput and scalability is of paramount importance. Directed acyclic
Externí odkaz:
http://arxiv.org/abs/2407.09409
We present an observational study of the formation and disappearance of a funnel prominence. Before the funnel prominence formed, cool materials from the top of a preexisting polar crown prominence flowed along saddle-shaped coronal loops to their ba
Externí odkaz:
http://arxiv.org/abs/2406.18136