Zobrazeno 1 - 10
of 123 591
pro vyhledávání: '"Li, Jun"'
Publikováno v:
GMS Hygiene and Infection Control, Vol 19, p Doc43 (2024)
Background: Since the emergence of COVID-19, China has taken strict prevention and control measures against the disease. At the end of 2022, when the government optimized and relaxed the COVID-19 prevention and control policy, a new wave of the epide
Externí odkaz:
https://doaj.org/article/dccc53483e7e406b9b6202ef8f09b7d4
Autor:
Guo, Hanzhong, Zhang, Jianfeng, Zou, Cheng, Li, Jun, Wang, Meng, Wen, Ruxue, Tang, Pingzhong, Chen, Jingdong, Yang, Ming
Image-based virtual try-on, widely used in online shopping, aims to generate images of a naturally dressed person conditioned on certain garments, providing significant research and commercial potential. A key challenge of try-on is to generate reali
Externí odkaz:
http://arxiv.org/abs/2411.10187
Integrated sensing and communication (ISAC) is envisioned as a key technology for future sixth-generation (6G) networks. Classical ISAC system considering monostatic and/or bistatic settings will inevitably degrade both communication and sensing perf
Externí odkaz:
http://arxiv.org/abs/2411.09426
Affine frequency division multiplexing (AFDM) is a novel modulation technique based on chirp signals that has been recently proposed as an effective solution for highly reliable communications in high-mobility scenarios. In this paper, we focus on th
Externí odkaz:
http://arxiv.org/abs/2411.09938
Autor:
Chen, Zhennan, Li, Yajie, Wang, Haofan, Chen, Zhibo, Jiang, Zhengkai, Li, Jun, Wang, Qian, Yang, Jian, Tai, Ying
In this paper, we present RAG, a Regional-Aware text-to-image Generation method conditioned on regional descriptions for precise layout composition. Regional prompting, or compositional generation, which enables fine-grained spatial control, has gain
Externí odkaz:
http://arxiv.org/abs/2411.06558
This work presented a perturbational decomposition method for simulating quantum evolution under the one-dimensional Ising model with both longitudinal and transverse fields. By treating the transverse field terms as perturbations in the expansion, o
Externí odkaz:
http://arxiv.org/abs/2411.03800
Convolutional Neural Networks (CNNs) have been heavily used in Deep Learning due to their success in various tasks. Nonetheless, it has been observed that CNNs suffer from redundancy in feature maps, leading to inefficient capacity utilization. Effor
Externí odkaz:
http://arxiv.org/abs/2411.03226
The extinction curve of interstellar dust in the dense molecular cloud cores is crucial for understanding dust properties, particularly size distribution and composition. We investigate the infrared extinction law in four nearby isolated molecular cl
Externí odkaz:
http://arxiv.org/abs/2411.00619
Elastic strain can displace the massless Dirac fermions in monolayer graphene in a space-dependent fashion, similar to the effect of an external magnetic field, thus giving rise to Landau quantization. We here show that the strain-induced Landau quan
Externí odkaz:
http://arxiv.org/abs/2410.21921