Guanying Huo
Beihang University
39 Papers
11 Citations
Guanying Huo is an academic researcher from Beihang University. The author has contributed to research in topics: Computer science & Interpolation. The author has an hindex of 5, co-authored 28 publications. Previous affiliations of Guanying Huo include University of Calgary.
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Papers
A Multi-Domain Collaborative Transfer Learning Method with Multi-Scale Repeated Attention Mechanism for Underwater Side-Scan Sonar Image Classification
TL;DR: A multi-domain collaborative transfer learning (MDCTL) method with multi-scale repeated attention mechanism (MSRAM) is proposed for improving the accuracy of underwater sonar image classification and is shown to be more powerful in feature representation by using the MDCTL and MSRAM.
Initial tool path selection of the iso-scallop method based on offset similarity analysis for global preferred feed directions matching
TL;DR: This paper presents a novel initial path selection method to make whole iso-scallop tool paths and the preferred direction field consistent as much as possible and achieves a better matching for the selected feed directions and a shorter overall length compared with some existing tool path generation methods.
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CNC Tool Path Generation for Freeform Surface Machining Based on Preferred Feed Direction Field
TL;DR: This paper presents a novel method to generate three-axis CNC tool paths for machining freeform surfaces based on a preferred feed direction field based on the parametric model of the surface.
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A fast T-spline fitting method based on efficient region segmentation
TL;DR: This paper proposes a fast T-spline fitting method based on T-mesh segmentation and argues this method is particularly useful in the reconstruction of scanned scatter data of which the parameter distribution is not uniform.
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A novel adaptive slicing algorithm based on ameliorative area ratio and accurate cusp height for 3D printing
TL;DR: This study aims to develop a novel adaptive slicing method based on ameliorative area ratio and accurate cusp height for 3D printing using stereolithography (STL) models that can reach a trade-off between the building time and the surface quality.
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