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Xiaoyue Yang

Biographic Data

ID8390907
NAMEXiaoyue Yang
GIVEN NAMESXiaoyue
FAMILY NAMEYang
SIGNATUREYANG X
AFFILIATIONSUniversity of Hong Kong
ORCID0000-0002-0483-6249
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX0
  • A Novel Visual Narrative Framework for Tourist Map Design Based on Local Chronicles

    Open Access•Wenjie Zhen, Shifang Huang et al.•ARTICLE•ISPRS International Journal of…•2024

    Tourist maps provide tourists with destination information that reflects their unique characteristics and cultural connotations and play an important role in attracting tourists and serving marketing purposes. However, existing designs of tourist maps often ignore the importance of cultural resource selection and the relationship between maps and structural linguistics, thereby affecting the narrative function and representativeness of tourist ma…

  • What Makes a Movement Human‐Like

    Open Access•Xiaoyue Yang, Miao Cheng et al.•ARTICLE•Japanese Psychological Research•2024

    With the advancement of AI‐generated human motion, it is of increasing importance to think about how we distinguish real human motion from machine‐generated movements. In this study, we recruited professional performers to use the whole body to make a short movement to inform potential observers that they are real humans (instead of machines). Their movements were captured with a motion capture system (Vicon) and later reduced to dynamic point‐li…

  • A New Algorithm for Large-Scale Geographically Weighted Regression with K-Nearest Neighbors

    Open Access•Xiaoyue Yang, Yi Yang et al.•ARTICLE•ISPRS International Journal of…•2023

    Geographically weighted regression (GWR) is a classical method for estimating nonstationary relationships. Notwithstanding the great potential of the model for processing geographic data, its large-scale application still faces the challenge of high computational costs. To solve this problem, we proposed a computationally efficient GWR method, called K-Nearest Neighbors Geographically weighted regression (KNN-GWR). First, it utilizes a k-dimensio…

  • Effects of cognitive reappraisal on directed forgetting of negative emotional memory

    Open Access•Tongtong Xin, Liting Fang et al.•ARTICLE•Psychological Research•2023

No prominent works on this page.

  • A New Algorithm for Large-Scale Geographically Weighted Regression with K-Nearest Neighbors

    Open Access•Xiaoyue Yang, Yi Yang et al.•ARTICLE•ISPRS International Journal of…•2023

    Geographically weighted regression (GWR) is a classical method for estimating nonstationary relationships. Notwithstanding the great potential of the model for processing geographic data, its large-scale application still faces the challenge of high computational costs. To solve this problem, we proposed a computationally efficient GWR method, called K-Nearest Neighbors Geographically weighted regression (KNN-GWR). First, it utilizes a k-dimensio…

  • Effects of cognitive reappraisal on directed forgetting of negative emotional memory

    Open Access•Tongtong Xin, Liting Fang et al.•ARTICLE•Psychological Research•2023

  • A Novel Visual Narrative Framework for Tourist Map Design Based on Local Chronicles

    Open Access•Wenjie Zhen, Shifang Huang et al.•ARTICLE•ISPRS International Journal of…•2024

    Tourist maps provide tourists with destination information that reflects their unique characteristics and cultural connotations and play an important role in attracting tourists and serving marketing purposes. However, existing designs of tourist maps often ignore the importance of cultural resource selection and the relationship between maps and structural linguistics, thereby affecting the narrative function and representativeness of tourist ma…

  • What Makes a Movement Human‐Like

    Open Access•Xiaoyue Yang, Miao Cheng et al.•ARTICLE•Japanese Psychological Research•2024

    With the advancement of AI‐generated human motion, it is of increasing importance to think about how we distinguish real human motion from machine‐generated movements. In this study, we recruited professional performers to use the whole body to make a short movement to inform potential observers that they are real humans (instead of machines). Their movements were captured with a motion capture system (Vicon) and later reduced to dynamic point‐li…

Geography (3 works) · Artificial Intelligence (2 works) · Cartography (2 works) · Cognitive psychology (2 works) · Computer Science (2 works) · Mathematics (2 works) · Psychology (2 works) · Action Observation and Synchronization (1 work) · Aesthetics (1 work) · Algorithm (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae