Zobrazeno 1 - 10
of 765
pro vyhledávání: '"WANG Pengwei"'
Publikováno v:
The Scientific World Journal, Vol 2022 (2022)
Recently, soils heavy metals pollution and health risks researches in oasis are few, and in this study, the Aibi lake basin—a typical oasis—was chosen as the research area, and then, we evaluated the pollution status and sources identification an
Externí odkaz:
https://doaj.org/article/f9c90a1644f447009b95ae85030c3cd2
Soft robotics has emerged as a promising field with the potential to revolutionize industries such as healthcare and manufacturing. However, designing effective soft robots presents challenges, particularly in managing the complex interplay of materi
Externí odkaz:
http://arxiv.org/abs/2405.01824
Deep learning models have become a powerful tool in knee angle estimation for lower limb prostheses, owing to their adaptability across various gait phases and locomotion modes. Current methods utilize Multi-Layer Perceptrons (MLP), Long-Short Term M
Externí odkaz:
http://arxiv.org/abs/2404.06772
U-Net and its variants have been widely used in medical image segmentation. However, most current U-Net variants confine their improvement strategies to building more complex encoder, while leaving the decoder unchanged or adopting a simple symmetric
Externí odkaz:
http://arxiv.org/abs/2309.11139
Autor:
Zhang, Tong, Liu, Yong, Li, Boyang, Zeng, Zhiwei, Wang, Pengwei, You, Yuan, Miao, Chunyan, Cui, Lizhen
With the evolution of pre-trained language models, current open-domain dialogue systems have achieved great progress in conducting one-session conversations. In contrast, Multi-Session Conversation (MSC), which consists of multiple sessions over a lo
Externí odkaz:
http://arxiv.org/abs/2302.00907
Autor:
Wang, Pengwei
Generative Adversarial Networks (GAN) is currently widely used as an unsupervised image generation method. Current state-of-the-art GANs can generate photorealistic images with high resolution. However, a large amount of data is required, or the mode
Externí odkaz:
http://arxiv.org/abs/2210.16251
Autor:
Zhou, Xin, Zhou, Hongyu, Liu, Yong, Zeng, Zhiwei, Miao, Chunyan, Wang, Pengwei, You, Yuan, Jiang, Feijun
This paper studies the multi-modal recommendation problem, where the item multi-modality information (e.g., images and textual descriptions) is exploited to improve the recommendation accuracy. Besides the user-item interaction graph, existing state-
Externí odkaz:
http://arxiv.org/abs/2207.05969
Autor:
Pang, Shuai, Zhang, Xiangdong, Ren, Guanzhou, Liu, Yuqian, Fan, Henghui, Jia, Qiongyu, Xie, Feihan, Wang, Pengwei, Zhang, Zhuo
Publikováno v:
In Materials Today Communications August 2024 40
Publikováno v:
In Materials Today Chemistry July 2024 39
Autor:
Hu, Doudou, Li, Tiandong, Bian, Haixu, Liu, Haiyu, Wang, Pengwei, Wang, Yeyuan, Sun, Jingchen
Publikováno v:
In Materials Today Bio October 2024 28