Yilin Wang
6 papers in the PaperMetrix corpus
Papers by this author
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The Research on Bridge Engineering Risk Management and Assessment Model Based on BP Neural Network
2020 · IOP Conference Series Earth and Environmental Science
Abstract Bridge engineering risk research is an important part of bridge engineering management. This paper establishes the risk indicators system of bridge project, and then introduces BP neural network theory into bridge risk evaluation. By …
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Does information communication promote financial development? Empirical evidence from China
2022 · Borsa Istanbul Review
Sound information communication is an important guarantee of financial development. In this study, the impact of information communication on financial development is analyzed using panel data on Chinese cities. The instrumental variable method is adopted …
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Robust Learning Against Label Noise Based on Activation Trend Tracking
2022 · IEEE Transactions on Instrumentation and Measurement
Defect detection of industrial products plays an important role in industrial production. Deep learning methods have been introduced to replace manual labor and save costs. Training deep neural networks requires large datasets with precisely annotated …
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OmniStyle: Filtering High Quality Style Transfer Data at Scale
2025
In this paper, we introduce OmniStyle-1M, a large-scale paired style transfer dataset comprising over one million content-style-stylized image triplets across 1,000 diverse style categories, each enhanced with textual descriptions and instruction prompts. We show that …
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PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph
2025 · arXiv (Cornell University)
Dynamic node classification is critical for modeling evolving systems like financial transactions and academic collaborations. In such systems, dynamically capturing node information changes is critical for dynamic node classification, which usually requires all labels at …
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What Your Images Reveal
2017
The rapid growth of Location-based Social Networks (LBSNs) provides a vast amount of check-in data, which facilitates the study of point-of-interest (POI) recommendation. The majority of the existing POI recommendation methods focus on four aspects, …