Zobrazeno 1 - 10
of 346
pro vyhledávání: '"XU Zhiyang"'
Publikováno v:
Shipin yu jixie, Vol 40, Iss 1, Pp 90-94 (2024)
Objective: To solve the technical problems in the design and analysis of the core parts of the mold open-closing mechanism related rod. Methods: The motion and force analysis of mold open-closing mechanism with an electric eight-bar was described in
Externí odkaz:
https://doaj.org/article/1f9e8c558b3a4513b7cbbe188563fad4
Publikováno v:
Cailiao Baohu, Vol 56, Iss 12, Pp 44-49 (2023)
For improving the high-temperature antibonding performance of ceramic load bearing boards, nano yttrium stabilized zirconia (n-YSZ) coatings and conventional yttrium stabilized zirconia (r-YSZ) coatings were prepared on corundum-mullite ceramic basal
Externí odkaz:
https://doaj.org/article/6c0c3a7bd7604e3ca33a16ced09cfa79
Publikováno v:
BIO Web of Conferences, Vol 111, p 03019 (2024)
Acoustic electrocardiography (ACG) is a new non-invasive test that combines the visualization of traditional ECG waveforms and heart-generated sound waveforms to jointly assess cardiac function and cardiac pathology. However, traditional ACG equipmen
Externí odkaz:
https://doaj.org/article/4fff8e533948447f8dd4fb84a2067458
Publikováno v:
Nanophotonics, Vol 10, Iss 18, Pp 4591-4599 (2021)
Single mode lasers, particularly red-green-blue (RGB) colors, have attracted wide attention due to their potential applications in the photonic field. Here, we realize the RGB single mode lasing in a hybrid two-dimension and three-dimension (2D–3D)
Externí odkaz:
https://doaj.org/article/460fc617bcaf4e65a1691ef07b4d0ad2
Existing information retrieval (IR) models often assume a homogeneous structure for knowledge sources and user queries, limiting their applicability in real-world settings where retrieval is inherently heterogeneous and diverse. In this paper, we int
Externí odkaz:
http://arxiv.org/abs/2410.20163
Autor:
Qi, Jingyuan, Xu, Zhiyang, Shao, Rulin, Chen, Yang, Di, Jin, Cheng, Yu, Wang, Qifan, Huang, Lifu
Current vision-language models (VLMs) still exhibit inferior performance on knowledge-intensive tasks, primarily due to the challenge of accurately encoding all the associations between visual objects and scenes to their corresponding entities and ba
Externí odkaz:
http://arxiv.org/abs/2410.08876
Integrating the 3D world into large language models (3D-based LLMs) has been a promising research direction for 3D scene understanding. However, current 3D-based LLMs fall short in situated understanding due to two key limitations: 1) existing 3D dat
Externí odkaz:
http://arxiv.org/abs/2410.03878
Autor:
Wang, Haibo, Xu, Zhiyang, Cheng, Yu, Diao, Shizhe, Zhou, Yufan, Cao, Yixin, Wang, Qifan, Ge, Weifeng, Huang, Lifu
Video Large Language Models (Video-LLMs) have demonstrated remarkable capabilities in coarse-grained video understanding, however, they struggle with fine-grained temporal grounding. In this paper, we introduce Grounded-VideoLLM, a novel Video-LLM ad
Externí odkaz:
http://arxiv.org/abs/2410.03290
Autor:
Liu, Yang, Zhu, Xichou, Shen, Zhou, Liu, Yi, Li, Min, Chen, Yujun, John, Benzi, Ma, Zhenzhen, Hu, Tao, Li, Zhi, Xu, Zhiyang, Luo, Wei, Wang, Junhui
Large Language Models (LLMs) have recently displayed their extraordinary capabilities in language understanding. However, how to comprehensively assess the sentiment capabilities of LLMs continues to be a challenge. This paper investigates the abilit
Externí odkaz:
http://arxiv.org/abs/2409.02370
Autor:
Yang, Fengyu, Feng, Chao, Wang, Daniel, Wang, Tianye, Zeng, Ziyao, Xu, Zhiyang, Park, Hyoungseob, Ji, Pengliang, Zhao, Hanbin, Li, Yuanning, Wong, Alex
Understanding neural activity and information representation is crucial for advancing knowledge of brain function and cognition. Neural activity, measured through techniques like electrophysiology and neuroimaging, reflects various aspects of informa
Externí odkaz:
http://arxiv.org/abs/2407.14020