Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Chuang Niu"'
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-17 (2024)
Abstract Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted increasing interest as a natural language interface across many domains. Recently, large vision-language models (VLMs) th
Externí odkaz:
https://doaj.org/article/4aa0d6e659b242fa83c5441409b25181
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Flipover, an enhanced dropout technique, is introduced to improve the robustness of artificial neural networks. In contrast to dropout, which involves randomly removing certain neurons and their connections, flipover randomly selects neurons
Externí odkaz:
https://doaj.org/article/73194d0ff1814f3097ec292ab80c71b9
Autor:
Wei-Feng Wang, Kai-Qing Liu, Chuang Niu, Yun-Shu Wang, Yang-Rong Yao, Zheng-Chun Yin, Muqing Chen, Shi-Qi Ye, Shangfeng Yang, Guan-Wu Wang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-8 (2023)
Abstract [6,6]-Phenyl-C61-butyric acid methyl ester (PCBM), a star molecule in the fullerene field, has found wide applications in materials science. Herein, electrosynthesis of buckyballs with fused-ring systems has been achieved through radical α-
Externí odkaz:
https://doaj.org/article/1947c6a0cb8d402593b7de835713e046
Autor:
Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experiments on translating radiology repo
Externí odkaz:
https://doaj.org/article/1e44174129ea4addbffdc7a3bb715612
Autor:
Chuang Niu, Ge Wang
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 6, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/ad81661240e0483b89d9eda7ed4ab739
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 700-715 (2022)
Extracting objects of interest from remote sensing imagery is an essential part in various practical applications. The objects that people pay attention to in the remote sensing scene mainly include buildings, roads, vehicles, etc. In this article, e
Externí odkaz:
https://doaj.org/article/e3402d95b3864f439835fcf81a2151c4
Autor:
Pengqi Li, Xianyi Meng, Ke Jin, Zhiwei Xu, Jianqi Zhang, Lixiu Zhang, Chuang Niu, Furui Tan, Chenyi Yi, Zuo Xiao, Yaqing Feng, Guan‐Wu Wang, Liming Ding
Publikováno v:
Carbon Energy, Vol 5, Iss 1, Pp n/a-n/a (2023)
Abstract The emergence of Y6‐type nonfullerene acceptors has greatly enhanced the power conversion efficiency (PCE) of organic solar cells (OSCs). However, which structural feature is responsible for the excellent photovoltaic performance is still
Externí odkaz:
https://doaj.org/article/68159985ba0c44d4ab9de884860a71cd
Autor:
Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
Publikováno v:
Patterns, Vol 3, Iss 5, Pp 100475- (2022)
Summary: Due to lack of the kernel awareness, some popular deep image reconstruction networks are unstable. To address this problem, here we introduce the bounded relative error norm (BREN) property, which is a special case of the Lipschitz continuit
Externí odkaz:
https://doaj.org/article/00be61a3a58543d095d8f90f4e171dc3
Autor:
Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
Publikováno v:
Patterns, Vol 3, Iss 5, Pp 100474- (2022)
Summary: A recent PNAS paper reveals that several popular deep reconstruction networks are unstable. Specifically, three kinds of instabilities were reported: (1) strong image artefacts from tiny perturbations, (2) small features missed in a deeply r
Externí odkaz:
https://doaj.org/article/d5949e76997e47be8bfc088ade2a16f5
Autor:
Mengzhou Li, Zheng Fang, Wenxiang Cong, Chuang Niu, Weiwen Wu, Josef Uher, James Bennett, Jay T. Rubinstein, Ge Wang
Publikováno v:
IEEE Access, Vol 8, Pp 229018-229032 (2020)
While micro-CT systems are instrumental in preclinical research, clinical micro-CT imaging has long been desired with cochlear implantation as a primary application. The structural details of the cochlear implant and the temporal bone require a signi
Externí odkaz:
https://doaj.org/article/b2f82edd1c0b4d2190f472d37aa19277