Zobrazeno 1 - 10
of 3 042
pro vyhledávání: '"LI Zhimin"'
Autor:
LI Zhimin
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 6, Pp 185-190 (2024)
Objective Influence of metro tunnel closely under-passing the existing metro station and viaduct pile foundation is studied. Method Wulidun Station safety line tunnel on Hefei S1 Line closely under-passes the existing Wulidun Station on Metro Line 2.
Externí odkaz:
https://doaj.org/article/f0ae8c38b0cc436291fd2621f61e424d
Autor:
Chen Menghao, Luo Chengfeng, Yuan Ying, Zhou Hao, Li Zhanglong, Wang Qiang, Gong Baijuan, Li Zhimin, Sun Hongchen
Publikováno v:
Reviews on Advanced Materials Science, Vol 63, Iss 1, Pp id. 386-147 (2024)
Poly-ether-ether-ketone (PEEK), a biomaterial renowned for its mechanical prowess and biocompatibility, is increasingly preferred for medical implants. Its natural bone-like mechanical property, ease of manipulation, and ability to mitigate stress sh
Externí odkaz:
https://doaj.org/article/f96608d02052422eb4009931e2479654
Autor:
Rupprecht, Timothy, Chang, Sung-En, Wu, Yushu, Lu, Lei, Nan, Enfu, Li, Chih-hsiang, Lai, Caiyue, Li, Zhimin, Hu, Zhijun, He, Yumei, Kaeli, David, Wang, Yanzhi
Publikováno v:
2024 Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track. Pages 8780-8783
We present a novel prompting strategy for artificial intelligence driven digital avatars. To better quantify how our prompting strategy affects anthropomorphic features like humor, authenticity, and favorability we present Crowd Vote - an adaptation
Externí odkaz:
http://arxiv.org/abs/2408.04068
Autor:
Wu, Chao, Gong, Yifan, Liu, Liangkai, Li, Mengquan, Wu, Yushu, Shen, Xuan, Li, Zhimin, Yuan, Geng, Shi, Weisong, Wang, Yanzhi
Object detection on the edge (Edge-OD) is in growing demand thanks to its ever-broad application prospects. However, the development of this field is rigorously restricted by the deployment dilemma of simultaneously achieving high accuracy, excellent
Externí odkaz:
http://arxiv.org/abs/2408.05363
The recent introduction of multimodal large language models (MLLMs) combine the inherent power of large language models (LLMs) with the renewed capabilities to reason about the multimodal context. The potential usage scenarios for MLLMs significantly
Externí odkaz:
http://arxiv.org/abs/2407.10996
Dynamic Scene Graph Generation (DSGG) focuses on identifying visual relationships within the spatial-temporal domain of videos. Conventional approaches often employ multi-stage pipelines, which typically consist of object detection, temporal associat
Externí odkaz:
http://arxiv.org/abs/2405.16925
Autor:
Li, Zhimin, Zhang, Jianwei, Lin, Qin, Xiong, Jiangfeng, Long, Yanxin, Deng, Xinchi, Zhang, Yingfang, Liu, Xingchao, Huang, Minbin, Xiao, Zedong, Chen, Dayou, He, Jiajun, Li, Jiahao, Li, Wenyue, Zhang, Chen, Quan, Rongwei, Lu, Jianxiang, Huang, Jiabin, Yuan, Xiaoyan, Zheng, Xiaoxiao, Li, Yixuan, Zhang, Jihong, Zhang, Chao, Chen, Meng, Liu, Jie, Fang, Zheng, Wang, Weiyan, Xue, Jinbao, Tao, Yangyu, Zhu, Jianchen, Liu, Kai, Lin, Sihuan, Sun, Yifu, Li, Yun, Wang, Dongdong, Chen, Mingtao, Hu, Zhichao, Xiao, Xiao, Chen, Yan, Liu, Yuhong, Liu, Wei, Wang, Di, Yang, Yong, Jiang, Jie, Lu, Qinglin
We present Hunyuan-DiT, a text-to-image diffusion transformer with fine-grained understanding of both English and Chinese. To construct Hunyuan-DiT, we carefully design the transformer structure, text encoder, and positional encoding. We also build f
Externí odkaz:
http://arxiv.org/abs/2405.08748
Autor:
Fang Dongzhen, Liu Xilin, Chen Xiaorong, Yan Wenwu, He Yunlu, Cheng Yi, Chen Jia, Li Zhimin, Guo Litao, Wang Tuhong, Jianping Xu, Gao Chunsheng
Publikováno v:
Frontiers in Microbiology, Vol 11 (2020)
Chinese yam (Dioscorea polystachya Thunb.) is an important root crop. Wilt caused by Fusarium is among the most important emerging diseases on yams. However, there is currently limited information on the molecular epidemiology of Fusarium causing yam
Externí odkaz:
https://doaj.org/article/6599494f999040dbb230abb17130a5d0
Publikováno v:
Open Life Sciences, Vol 13, Iss 1, Pp 1-10 (2018)
The essential oil of Mosla chinensis Maxim cv. Jiangxiangru is known for its antibacterial ability. This study aimed to investigate the chemical composition of Jiangxiangru essential oil and its inhibitory effect on Staphylococcus aureus biofilm form
Externí odkaz:
https://doaj.org/article/4203cc00cc7b43b1ae480ffe9fb59079
With recent advances in multi-modal foundation models, the previously text-only large language models (LLM) have evolved to incorporate visual input, opening up unprecedented opportunities for various applications in visualization. Our work explores
Externí odkaz:
http://arxiv.org/abs/2312.04494