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pro vyhledávání: '"Wang, Keyang"'
Knowledge tracing has been widely used in online learning systems to guide the students' future learning. However, most existing KT models primarily focus on extracting abundant information from the question sets and explore the relationships between
Externí odkaz:
http://arxiv.org/abs/2405.16799
Knowledge Tracing (KT) aims to trace changes in students' knowledge states throughout their entire learning process by analyzing their historical learning data and predicting their future learning performance. Existing forgetting curve theory based k
Externí odkaz:
http://arxiv.org/abs/2404.12127
Publikováno v:
In Physica C: Superconductivity and its applications 15 July 2024 622
The anchor-based detectors handle the problem of scale variation by building the feature pyramid and directly setting different scales of anchors on each cell in different layers. However, it is difficult for box-wise anchors to guide the adaptive le
Externí odkaz:
http://arxiv.org/abs/2108.11021
Autor:
Wang, Keyang, Zhang, Lei
Classification and regression are two pillars of object detectors. In most CNN-based detectors, these two pillars are optimized independently. Without direct interactions between them, the classification loss and the regression loss can not be optimi
Externí odkaz:
http://arxiv.org/abs/2108.10809
Autor:
Wang, Keyang, Zhang, Lei
In the CNN based object detectors, feature pyramids are widely exploited to alleviate the problem of scale variation across object instances. These object detectors, which strengthen features via a top-down pathway and lateral connections, are mainly
Externí odkaz:
http://arxiv.org/abs/2008.03511
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Publikováno v:
In Cryogenics January 2023 129
Publikováno v:
In Physica C: Superconductivity and its applications 15 December 2022 603
Autor:
Guo, Zichuan, Qin, Jinggang, Lubkemann, R., Wang, Keyang, Jin, Huan, Xiao, Guanyu, Li, Jiangang, Zhou, Chao, Nijhuis, Arend
Publikováno v:
In Superconductivity June 2022 2