19 found
Order:
  1.  56
    The Relationship Between Fear of COVID-19 and Online Aggressive Behavior: A Moderated Mediation Model.Baojuan Ye, Yadi Zeng, Hohjin Im, Mingfan Liu, Xinqiang Wang & Qiang Yang - 2021 - Frontiers in Psychology 12.
    Amid the COVID-19 pandemic, fear has run rampant across the globe. To curb the spread of the virus, several governments have taken measures to drastically transition businesses, work, and schooling to virtual settings. While such transitions are warranted and well-intended, these measures may come with unforeseen consequences. Namely, one’s fear of COVID-19 may more readily manifest as aggressive behaviors in an otherwise incognito virtual social ecology. In the current research, a moderated mediation model examined the mechanisms underlying the relation between (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  2.  1
    Learning action models from plan examples using weighted MAX-SAT.Qiang Yang, Kangheng Wu & Yunfei Jiang - 2007 - Artificial Intelligence 171 (2-3):107-143.
  3.  14
    Downward refinement and the efficiency of hierarchical problem solving.Fahiem Bacchus & Qiang Yang - 1994 - Artificial Intelligence 71 (1):43-100.
  4.  9
    Learning complex action models with quantifiers and logical implications.Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu & Lei Li - 2010 - Artificial Intelligence 174 (18):1540-1569.
  5.  6
    Planning as refinement search: a unified framework for evaluating design tradeoffs in partial-order planning.Subbarao Kambhampati, Craig A. Knoblock & Qiang Yang - 1995 - Artificial Intelligence 76 (1-2):167-238.
  6.  7
    Action-model acquisition for planning via transfer learning.Hankz Hankui Zhuo & Qiang Yang - 2014 - Artificial Intelligence 212 (C):80-103.
  7.  7
    Learning hierarchical task network domains from partially observed plan traces.Hankz Hankui Zhuo, Héctor Muñoz-Avila & Qiang Yang - 2014 - Artificial Intelligence 212 (C):134-157.
  8.  6
    A theory of conflict resolution in planning.Qiang Yang - 1992 - Artificial Intelligence 58 (1-3):361-392.
  9.  4
    Transfer learning in heterogeneous collaborative filtering domains.Weike Pan & Qiang Yang - 2013 - Artificial Intelligence 197 (C):39-55.
  10.  9
    Theory and algorithms for plan merging.David E. Foulser, Ming Li & Qiang Yang - 1992 - Artificial Intelligence 57 (2-3):143-181.
  11.  12
    A unified framework of active transfer learning for cross-system recommendation.Lili Zhao, Sinno Jialin Pan & Qiang Yang - 2017 - Artificial Intelligence 245 (C):38-55.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  12.  14
    Privacy-preserving graph convolution network for federated item recommendation.Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng & Zhong Ming - 2023 - Artificial Intelligence 324 (C):103996.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  13.  8
    Mining competent case bases for case-based reasoning.Rong Pan, Qiang Yang & Sinno Jialin Pan - 2007 - Artificial Intelligence 171 (16-17):1039-1068.
  14.  10
    Transfer learning for collaborative recommendation with biased and unbiased data.Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang & Zhong Ming - 2023 - Artificial Intelligence 324 (C):103992.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  15.  5
    Automatically selecting and using primary effects in planning: theory and experiments.Eugene Fink & Qiang Yang - 1997 - Artificial Intelligence 89 (1-2):285-315.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  16.  7
    Ridesharing car detection by transfer learning.Leye Wang, Xu Geng, Xiaojuan Ma, Daqing Zhang & Qiang Yang - 2019 - Artificial Intelligence 273 (C):1-18.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  17.  6
    A Matching Study on the Influence of Advertised Information Expression and Product Type on Consumer Purchase Intention.Qiang Yang, Shanshan Liu, Yao Li & Haifeng Kang - 2022 - Frontiers in Psychology 13.
    Due to extensive product differentiation and the personalized aesthetic needs of consumers, modern enterprises need different expressions of information to attract consumers’ interest and improve their purchase intention. This study draws from the elaboration likelihood model, anchoring theory, and media richness theory to explore how the expression of advertised information can be effectively matched to the product type to enhance consumers’ purchase intention. The mediating effect of information-processing fluency and moderating effect of consumers’ personal involvement on this relationship is also (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  18.  7
    Towards mobile intelligence: Learning from GPS history data for collaborative recommendation.Vincent W. Zheng, Yu Zheng, Xing Xie & Qiang Yang - 2012 - Artificial Intelligence 184-185 (C):17-37.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  19.  27
    Emotion Regulation of Hippocampus Using Real-Time fMRI Neurofeedback in Healthy Human.Yashuo Zhu, Hui Gao, Li Tong, ZhongLin Li, Linyuan Wang, Chi Zhang, Qiang Yang & Bin Yan - 2019 - Frontiers in Human Neuroscience 13.