Zobrazeno 1 - 10
of 2 238
pro vyhledávání: '"WANG Jiahao"'
Autor:
Liang Congling, Wang Jiahao, Huang Tian, Dai Qi, Li Zile, Yu Shaohua, Li Gongfa, Zheng Guoxing
Publikováno v:
Nanophotonics, Vol 13, Iss 9, Pp 1665-1675 (2024)
Recently, multifunctional metasurface has showcased its powerful functionality to integrate nanoprinting and holography, and display ultracompact meta-images in near- and far-field simultaneously. Herein, we propose a tri-channel metasurface which ca
Externí odkaz:
https://doaj.org/article/f7cd4961aafc4ffabd14de1b1e3ff732
Publikováno v:
Reviews on Advanced Materials Science, Vol 63, Iss 1, Pp pp. 5003-5020 (2024)
Externí odkaz:
https://doaj.org/article/12ff98b45e7d468fb46a7e1b0836273e
Autor:
Wu Zezhou, Huang Haoquan, Chen Xiangsheng, Li Jianjun, He Qiufeng, Li Ao, Huang Jun, Lin Yuhan, Liu Xingyu, Wang Jiahao
Publikováno v:
中国工程科学, Vol 25, Iss 5, Pp 202-209 (2023)
Carbon emission reduction in the construction industry is crucial for promoting low-carbon transformation of the industry and for realizing the carbon peaking and carbon neutrality goals. This study analyzes the current status of carbon emissions in
Externí odkaz:
https://doaj.org/article/92b55354e743465fba42c3db5433329b
Autor:
Jiang Yi, Wang Jiahao, Zhou Yaya, Li Jinlei, Chen Zipeng, Yao Pengcheng, Ge Haixiong, Zhu Bin
Publikováno v:
Nanophotonics, Vol 12, Iss 12, Pp 2213-2220 (2023)
Passive daytime radiative cooling (PDRC) as a zero-energy cooling technology that reflects most of sunlight and emits infrared thermal radiation to outer space, has attracted much attention. However, most PDRC materials suffer dust accumulation probl
Externí odkaz:
https://doaj.org/article/00b25f661c8f4a9f92a5030bfb6125a3
Publikováno v:
E3S Web of Conferences, Vol 561, p 03002 (2024)
A company prepared 304 stainless steel screws through drawing, cold heading, and punching treatment processes. Cracks appeared at the cross hole of the nut, and a large number of samples had cracks. After inclusion analysis, metallographic analysis,
Externí odkaz:
https://doaj.org/article/78faf9f078ee493f90b9d5af70056e4c
Publikováno v:
IEEE Access, Vol 10, Pp 93731-93744 (2022)
This paper proposes an online MMCCS (Multi-MC Cooperative Charging Strategy) for multiple Mobile Chargers (MC), affording static partition and dynamic collaboration. The developed scheme aims to solve the problem of high energy hole rates in Wireless
Externí odkaz:
https://doaj.org/article/27bd5b0dfadf48deaf9825e89cc6ff7f
Autor:
Lu, Taiming, Shu, Tianmin, Xiao, Junfei, Ye, Luoxin, Wang, Jiahao, Peng, Cheng, Wei, Chen, Khashabi, Daniel, Chellappa, Rama, Yuille, Alan, Chen, Jieneng
Understanding, navigating, and exploring the 3D physical real world has long been a central challenge in the development of artificial intelligence. In this work, we take a step toward this goal by introducing GenEx, a system capable of planning comp
Externí odkaz:
http://arxiv.org/abs/2412.09624
Autor:
Yang, Chenyu, Dong, Xuan, Zhu, Xizhou, Su, Weijie, Wang, Jiahao, Tian, Hao, Chen, Zhe, Wang, Wenhai, Lu, Lewei, Dai, Jifeng
Large Vision-Language Models (VLMs) have been extended to understand both images and videos. Visual token compression is leveraged to reduce the considerable token length of visual inputs. To meet the needs of different tasks, existing high-performan
Externí odkaz:
http://arxiv.org/abs/2412.09613
Multimodal entity linking (MEL), a task aimed at linking mentions within multimodal contexts to their corresponding entities in a knowledge base (KB), has attracted much attention due to its wide applications in recent years. However, existing MEL me
Externí odkaz:
http://arxiv.org/abs/2412.06720
Autor:
Chen, Zhe, Wang, Weiyun, Cao, Yue, Liu, Yangzhou, Gao, Zhangwei, Cui, Erfei, Zhu, Jinguo, Ye, Shenglong, Tian, Hao, Liu, Zhaoyang, Gu, Lixin, Wang, Xuehui, Li, Qingyun, Ren, Yimin, Chen, Zixuan, Luo, Jiapeng, Wang, Jiahao, Jiang, Tan, Wang, Bo, He, Conghui, Shi, Botian, Zhang, Xingcheng, Lv, Han, Wang, Yi, Shao, Wenqi, Chu, Pei, Tu, Zhongying, He, Tong, Wu, Zhiyong, Deng, Huipeng, Ge, Jiaye, Chen, Kai, Dou, Min, Lu, Lewei, Zhu, Xizhou, Lu, Tong, Lin, Dahua, Qiao, Yu, Dai, Jifeng, Wang, Wenhai
We introduce InternVL 2.5, an advanced multimodal large language model (MLLM) series that builds upon InternVL 2.0, maintaining its core model architecture while introducing significant enhancements in training and testing strategies as well as data
Externí odkaz:
http://arxiv.org/abs/2412.05271