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Tao Xiang

Biographic Data

ID7809801
NAMETao Xiang
GIVEN NAMESTao
FAMILY NAMEXiang
SIGNATUREXIANG T
AFFILIATIONSThird People's Hospital of Chengdu
ORCID0000-0001-7832-3852
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Differential Privacy at a TechnologySociety Lens

    Open Access•Chunqiang Hu, Jiajun Chen et al.•ARTICLE•IEEE Technology and Society…•2026

    The rapid expansion of data collection and analysis has intensified societal concerns regarding personal privacy. Although differential privacy (DP) provides rigorous mathematical guarantees, its practical deployment requires closer alignment with user rights, evolving privacy norms, and public policy principles. This article addresses the gap between DP’s technical mechanisms and broader socio-ethical expectations by introducing user-defined pri…

  • Impact of digital transformation on climate-adjusted green technical efficiency in China

    Open Access•Tao Xiang, Tong Yu•ARTICLE•Journal of Rural Studies•2026

  • It's All About Your Sketch

    Open Access•Subhadeep Koley, Ayan Kumar Bhunia et al.•CONFERENCE•2024 IEEE/CVF Conference on…•2024

    This paper unravels the potential of sketches for diffusion models, addressing the deceptive promise of direct sketch control in generative AI. We importantly democratise the process, enabling amateur sketches to generate precise images, living up to the commitment of “what you sketch is what you get”. A pilot study underscores the necessity, revealing that deformities in existing models stem from spatial-conditioning. To rectify this, we propose…

  • Will People Accept a Third Booster Dose of the Covid-19 Vaccine? A Cross-Sectional Study in China

    Open Access•Yufang Sun, Hang Dai et al.•ARTICLE•Frontiers in Public Health•2022

    Objective: The coronavirus disease 2019 (COVID-19) vaccines are considered to be an effective way to prevent the spread of the infection. Our previous study has shown that about 75% of healthcare workers (HCWs) in China were willing to receive the vaccine when it became available. Here, we examined the acceptance of a third booster dose among Chinese people and identified the influencing factors. Methods: A cross-sectional online survey was condu…

  • Will Healthcare Workers Accept a Covid-19 Vaccine When It Becomes Available? A Cross-Sectional Study in China

    Open Access•Yufang Sun, Xiaohong Chen et al.•ARTICLE•Frontiers in Public Health•2021

    Objective: The Coronavirus disease 2019 (COVID-19) vaccine is currently available. This timely survey was conducted to provide insight into on the willingness of healthcare workers (HCWs)to receive the vaccine and determine the influencing factors. Methods: This was a cross-sectional online survey. An online questionnaire was provided to all participants and they were asked if they would accept a free vaccine. The questionnaire gathered general d…

  • The impact of population pressure on global fertiliser use intensity, 1970–2011

    Open Access•Tao Xiang, Tariq H Malik et al.•ARTICLE•Technological Forecasting and…•2020

No prominent works on this page.

  • The impact of population pressure on global fertiliser use intensity, 1970–2011

    Open Access•Tao Xiang, Tariq H Malik et al.•ARTICLE•Technological Forecasting and…•2020

  • Will Healthcare Workers Accept a Covid-19 Vaccine When It Becomes Available? A Cross-Sectional Study in China

    Open Access•Yufang Sun, Xiaohong Chen et al.•ARTICLE•Frontiers in Public Health•2021

    Objective: The Coronavirus disease 2019 (COVID-19) vaccine is currently available. This timely survey was conducted to provide insight into on the willingness of healthcare workers (HCWs)to receive the vaccine and determine the influencing factors. Methods: This was a cross-sectional online survey. An online questionnaire was provided to all participants and they were asked if they would accept a free vaccine. The questionnaire gathered general d…

  • Will People Accept a Third Booster Dose of the Covid-19 Vaccine? A Cross-Sectional Study in China

    Open Access•Yufang Sun, Hang Dai et al.•ARTICLE•Frontiers in Public Health•2022

    Objective: The coronavirus disease 2019 (COVID-19) vaccines are considered to be an effective way to prevent the spread of the infection. Our previous study has shown that about 75% of healthcare workers (HCWs) in China were willing to receive the vaccine when it became available. Here, we examined the acceptance of a third booster dose among Chinese people and identified the influencing factors. Methods: A cross-sectional online survey was condu…

  • It's All About Your Sketch

    Open Access•Subhadeep Koley, Ayan Kumar Bhunia et al.•CONFERENCE•2024 IEEE/CVF Conference on…•2024

    This paper unravels the potential of sketches for diffusion models, addressing the deceptive promise of direct sketch control in generative AI. We importantly democratise the process, enabling amateur sketches to generate precise images, living up to the commitment of “what you sketch is what you get”. A pilot study underscores the necessity, revealing that deformities in existing models stem from spatial-conditioning. To rectify this, we propose…

  • Differential Privacy at a TechnologySociety Lens

    Open Access•Chunqiang Hu, Jiajun Chen et al.•ARTICLE•IEEE Technology and Society…•2026

    The rapid expansion of data collection and analysis has intensified societal concerns regarding personal privacy. Although differential privacy (DP) provides rigorous mathematical guarantees, its practical deployment requires closer alignment with user rights, evolving privacy norms, and public policy principles. This article addresses the gap between DP’s technical mechanisms and broader socio-ethical expectations by introducing user-defined pri…

  • Impact of digital transformation on climate-adjusted green technical efficiency in China

    Open Access•Tao Xiang, Tong Yu•ARTICLE•Journal of Rural Studies•2026

Medicine (3 works) · Anxiety (2 works) · Cross-sectional study (2 works) · Environmental health (2 works) · Family medicine (2 works) · Immunology (2 works) · Internal Medicine (2 works) · Logistic regression (2 works) · Psychiatry (2 works) · SARS-CoV-2 and COVID-19 Research (2 works)

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