Zobrazeno 1 - 10
of 49 382
pro vyhledávání: '"Zhibin An"'
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2238 (2024)
Electron beam selective melting is a metal powder bed fusion additive manufacturing technology. In order to study the temperature field and melt pool changes of high Nb-TiAl electron beam selective melting on a single scan line and multi-scan lines.
Externí odkaz:
https://doaj.org/article/e3c8f13f3e4c4a2f8e230a58af8ca10b
The strength, $\sigma_{\rm y}$, of a polycrystal decreases with mean grain diameter $D$ at $D\gtrsim50$ atoms (i.e. Hall-Petch behaviour) and increases at $D\lesssim50$ (i.e. inverse Hall-Petch behaviour). Our simulations generalise $\sigma_{\rm y}(D
Externí odkaz:
http://arxiv.org/abs/2410.18139
Autor:
Wang, Zhibin, Li, Shipeng, Zhou, Yuhang, Li, Xue, Gu, Rong, Cam-Tu, Nguyen, Tian, Chen, Zhong, Sheng
Large language models (LLMs) have achieved remarkable performance and are widely deployed in various applications, while the serving of LLM inference has raised concerns about user experience and serving throughput. Accordingly, service level objecti
Externí odkaz:
http://arxiv.org/abs/2410.14257
Autor:
Chen, Jiazhen, Fu, Sichao, Zhang, Zhibin, Ma, Zheng, Feng, Mingbin, Wirjanto, Tony S., Peng, Qinmu
Few-shot graph anomaly detection (GAD) has recently garnered increasing attention, which aims to discern anomalous patterns among abundant unlabeled test nodes under the guidance of a limited number of labeled training nodes. Existing few-shot GAD ap
Externí odkaz:
http://arxiv.org/abs/2410.08629
Autor:
Li, Wenbo, Li, Guohao, Lan, Zhibin, Xu, Xue, Zhuang, Wanru, Liu, Jiachen, Xiao, Xinyan, Su, Jinsong
Diffusion-based text-to-image models have demonstrated impressive achievements in diversity and aesthetics but struggle to generate images with legible visual texts. Existing backbone models have limitations such as misspelling, failing to generate t
Externí odkaz:
http://arxiv.org/abs/2410.04439
Reinforcement learning-based quadruped robots excel across various terrains but still lack the ability to swim in water due to the complex underwater environment. This paper presents the development and evaluation of a data-driven hydrodynamic model
Externí odkaz:
http://arxiv.org/abs/2410.00490
Cross-lingual cross-modal retrieval (CCR) aims to retrieve visually relevant content based on non-English queries, without relying on human-labeled cross-modal data pairs during training. One popular approach involves utilizing machine translation (M
Externí odkaz:
http://arxiv.org/abs/2409.19961
Forecasting Multivariate Time Series (MTS) involves significant challenges in various application domains. One immediate challenge is modeling temporal patterns with the finite length of the input. These temporal patterns usually involve periodic and
Externí odkaz:
http://arxiv.org/abs/2409.18491
Autor:
Cai, Guohui, Cai, Ying, Zhang, Zeyu, Ergu, Daji, Cao, Yuanzhouhan, Hu, Binbin, Liao, Zhibin, Zhao, Yang
Pulmonary nodules are critical indicators for the early diagnosis of lung cancer, making their detection essential for timely treatment. However, traditional CT imaging methods suffered from cumbersome procedures, low detection rates, and poor locali
Externí odkaz:
http://arxiv.org/abs/2409.14028
Recently, when dealing with high-resolution images, dominant LMMs usually divide them into multiple local images and one global image, which will lead to a large number of visual tokens. In this work, we introduce AVG-LLaVA, an LMM that can adaptivel
Externí odkaz:
http://arxiv.org/abs/2410.02745