Zobrazeno 1 - 10
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pro vyhledávání: '"Liu, Wenjun"'
We present ProtoViT, a method for interpretable image classification combining deep learning and case-based reasoning. This method classifies an image by comparing it to a set of learned prototypes, providing explanations of the form ``this looks lik
Externí odkaz:
http://arxiv.org/abs/2410.20722
Coded apertures, traditionally employed in x-ray astronomy for imaging celestial objects, are now being adapted for micro-scale applications, particularly in studying microscopic specimens with synchrotron light diffraction. In this paper, we focus o
Externí odkaz:
http://arxiv.org/abs/2405.12813
Autor:
Yao, Yi, Wang, Jun, Hu, Yabai, Wang, Lifeng, Zhou, Yi, Chen, Jack, Gai, Xuming, Wang, Zhenming, Liu, Wenjun
The evolution of software testing from manual to automated methods has significantly influenced quality assurance (QA) practices. However, challenges persist in post-execution phases, particularly in result analysis and reporting. Traditional post-ex
Externí odkaz:
http://arxiv.org/abs/2406.04356
Autor:
Li, Zhonglin, Gao, Kangyu, Wang, Yingying, Bie, Ruitong, Yang, Dongliang, Yu, Tianze, Gao, Renxi, Liu, Wenjun, Zhong, Bo, Sun, Linfeng
Line-scan mode facilitates fast-speed and high-throughput imaging with developing a suitable optical transverse needle focus. Metasurface with periodic structures such as diffractive rings, ellipses, and gratings could enable discrete focus evolving
Externí odkaz:
http://arxiv.org/abs/2405.07136
The global diabetes epidemic highlights the importance of maintaining good glycemic control. Glucose prediction is a fundamental aspect of diabetes management, facilitating real-time decision-making. Recent research has introduced models focusing on
Externí odkaz:
http://arxiv.org/abs/2404.11924
Traditional analysis of highly distorted micro-X-ray diffraction ({\mu}-XRD) patterns from hydrothermal fluid environments is a time-consuming process, often requiring substantial data preprocessing and labeled experimental data. This study demonstra
Externí odkaz:
http://arxiv.org/abs/2403.10042
Speech anonymization and de-identification have garnered significant attention recently, especially in the healthcare area including telehealth consultations, patient voiceprint matching, and patient real-time monitoring. Speaker identity classificat
Externí odkaz:
http://arxiv.org/abs/2312.15190
Recent works have shown that Large Language Models (LLMs) could empower traditional neuro-symbolic models via programming capabilities to translate language into module descriptions, thus achieving strong visual reasoning results while maintaining th
Externí odkaz:
http://arxiv.org/abs/2311.04901
In this paper, the problem of continuous data assimilation of three dimensional primitive equations with magnetic field in thin domain is studied. We establish the well-posedness of the assimilation system and prove that the $H^2$-strong solution of
Externí odkaz:
http://arxiv.org/abs/2310.17252
Autor:
Song, Kay, Sheyfer, Dina, Liu, Wenjun, Tischler, Jonathan Z, Das, Suchandrima, Mizohata, Kenichiro, Yu, Hongbing, Armstrong, David E J, Hofmann, Felix
Irradiation-induced ductility loss is a major concern facing structural steels in next-generation nuclear reactors. Currently, the mechanisms for this are unclear but crucial to address for the design of reactor components. Here, the deformation char
Externí odkaz:
http://arxiv.org/abs/2310.01332