1 citations · 1 across the 5 of their papers we have counts for
6 papers
Turán Numbers of Linear Stars and Expanded Trees
Xinmin Hou, Anyao Wang
For an -uniform hypergraph , let $\ex_r(n,\mathcal H)$ denote the maximum number of edges in an -vertex -uniform hypergraph containing no copy of .…
BrainTaskonomy: Learning How to Pretrain and What to Transfer in fMRI Foundation Models
Junfeng Xia, Wenhao Ye, Junxiang Zhang +3
fMRI foundation models increasingly aggregate heterogeneous data across brain states, cohorts, and acquisition settings, yet pretraining domains are commonly treated as a flat mixt…
Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics
Zhoujie Hou, Song Wang, Kexin Lou +3
Sleep physiology arises from the coordinated dynamics of the central nervous system (CNS) and autonomic nervous system (ANS), as reflected by multimodal polysomnography signals inc…
Omni-fMRI: A Universal Atlas-Free fMRI Foundation Model
Mo Wang, Wenhao Ye, Junfeng Xia +6
Self-supervised fMRI foundation models have shown promising transfer performance, yet most rely on predefined region-level parcellations that discard fine-grained voxel information…
SLIM-Brain: A Data- and Training-Efficient Foundation Model for fMRI Data Analysis
Mo Wang, Junfeng Xia, Wenhao Ye +5
Foundation models are emerging as a powerful paradigm for fMRI analysis, but current approaches face a dual bottleneck of data- and training-efficiency. Atlas-based methods aggrega…
Personalized optimization of pediatric HD-tDCS for dose consistency and target engagement
Zeming Liu, Mo Wang, Xuanye Pan +3
High-definition transcranial direct current stimulation (HD-tDCS) dosing in children remains largely empirical, relying on one-size-fits-all protocols despite rapid developmental c…