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Akademický článek
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Autor:
Wang, Zhongkun1 (AUTHOR), Ye, Yongjun1,2 (AUTHOR) yongjunye@163.com
Publikováno v:
Journal of Radioanalytical & Nuclear Chemistry. Aug2021, Vol. 329 Issue 2, p679-693. 15p. 1 Diagram, 5 Charts, 6 Graphs, 1 Map.
Self-supervised foundation models have recently been successfully extended to encode three-dimensional (3D) computed tomography (CT) images, with excellent performance across several downstream tasks, such as intracranial hemorrhage detection and lun
Externí odkaz:
http://arxiv.org/abs/2412.00110
Distribution of plastics of various sizes and densities in the global ocean from a 3D Eulerian model
We develop a 3D Eulerian model to study the transport and distribution of microplastics in the global ocean. Among other benefits that will be discussed in the paper, one unique feature of our model is that it takes into consideration the effect of p
Externí odkaz:
http://arxiv.org/abs/2411.14335
Semiconductor InSb nanowires present a highly intriguing platform with immense potential for applications in spintronics and topological quantum devices. The narrow band gap exhibited by InSb allows for precise tuning of these nanowires, facilitating
Externí odkaz:
http://arxiv.org/abs/2410.22743
Autor:
Liu, Zheyuan, Dou, Guangyao, Jia, Mengzhao, Tan, Zhaoxuan, Zeng, Qingkai, Yuan, Yongle, Jiang, Meng
Generative models such as Large Language Models (LLM) and Multimodal Large Language models (MLLMs) trained on massive web corpora can memorize and disclose individuals' confidential and private data, raising legal and ethical concerns. While many pre
Externí odkaz:
http://arxiv.org/abs/2410.22108
The Segment Anything Model (SAM) has demonstrated strong performance in image segmentation of natural scene images. However, its effectiveness diminishes markedly when applied to specific scientific domains, such as Scanning Probe Microscope (SPM) im
Externí odkaz:
http://arxiv.org/abs/2410.12562
Autor:
Cui, Can, Gao, Lvye, Zhao, Pengbo, Yang, Menghan, Liu, Lifu, Ma, Yu, Huang, Guangyao, Wang, Shengtong, Luo, Linbin, Li, Xinghui
This paper presents a novel heterodyne grating interferometer designed to meet the precise measurement requirements of next-generation lithography systems and large-scale atomic-level manufacturing. Utilizing a dual-frequency light source, the interf
Externí odkaz:
http://arxiv.org/abs/2410.12177
Autor:
Zhou, Guangyao, Swaminathan, Sivaramakrishnan, Raju, Rajkumar Vasudeva, Guntupalli, J. Swaroop, Lehrach, Wolfgang, Ortiz, Joseph, Dedieu, Antoine, Lázaro-Gredilla, Miguel, Murphy, Kevin
We propose Diffusion Model Predictive Control (D-MPC), a novel MPC approach that learns a multi-step action proposal and a multi-step dynamics model, both using diffusion models, and combines them for use in online MPC. On the popular D4RL benchmark,
Externí odkaz:
http://arxiv.org/abs/2410.05364
Autor:
Yu, Yijiong, Xiufa, Ma, Jianwei, Fang, Xu, Zhi, Guangyao, Su, Jiancheng, Wang, Huang, Yongfeng, Qi, Zhixiao, Wang, Wei, Liu, Weifeng, Chen, Ran, Pei, Ji
Long-context language models (LCLMs), characterized by their extensive context window, are becoming increasingly popular. However, despite they are nearly perfect at standard long-context retrieval, we find they are actually not good at all of them.
Externí odkaz:
http://arxiv.org/abs/2410.04422