32 citations · 39 across the 4 of their papers we have counts for
5 papers
Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components
Ling Zhan, Xiaoyao Yu, Tao Jia
AI for Science (AI4Science) workflows often treat the released dataset as a fixed interface to the underlying system. However, in domains relying on \emph{indirect observation}, th…
Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints
Ling Zhan, Junjie Huang, Xiaoyao Yu +2
Functional brain network (FBN) modeling often relies on local pairwise interactions, whose limitation in capturing high-order dependencies is theoretically analyzed in this paper.…
Knowledge Independence Breeds Disruption but Limits Recognition
Xiaoyao Yu, Talal Rahwan, Tao Jia
Despite extensive research on scientific disruption, two questions remain: why disruption has declined amid growing knowledge, and why disruptive work receives fewer and delayed ci…
Become a better you: correlation between the change of research direction and the change of scientific performance
Xiaoyao Yu, Boleslaw K. Szymanski, Tao Jia
It is important to explore how scientists decide their research agenda and the corresponding consequences, as their decisions collectively shape contemporary science. There are stu…
The network asymmetry caused by the degree correlation and its effect on the bimodality in control
Xiaoyao Yu, Yongqing Liang, Xiaomeng Wang +1
Our ability to control a whole network can be achieved via a small set of driver nodes. While the minimum number of driver nodes needed for control is fixed in a given network, the…