Author

Hai Jia

Chinese Academy of Medical Sciences & Peking Union Medical CollegeORCID 0000-0002-0152-5795Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:graph neural network· 2 Organism:human· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Zaixu CuiiD· 2 shared Chao LiiD· 1 shared Chenguang Zhao· 1 shared Fengyu CongiD· 1 shared Hang YangiD· 1 shared Jiachang Hao· 1 shared Keyao ZhangiD· 1 shared Peiyu CheniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioengineering

Zaixu CuiORCID

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2 papers

Recent·Most cited

TLS-Sim: An Open-Source Toolkit for Individualized Transcranial Light Stimulation Modeling with Deep-Learning-Accelerated Simulation

Keyao Zhang, Hai Jia, Zhilin Li, Shaodi Wang, Yushuai Zhang, Fengyu Cong, Zaixu Cui, Xiaoli Li A, Chenguang Zhao

TLS-Sim provides a toolkit for individualized transcranial light stimulation modeling using deep-learning-accelerated Monte Carlo simulations to improve efficiency and accuracy.

bioRxiv · Sep 11, 2026 · PreprintBioengineering

Group-common and individual-specific effects of structure-function coupling in human brain networks with graph neural networks

Peiyu Chen, Hang Yang, Xin Zheng, Hai Jia, Jiachang Hao, Xiaoyu Xu, Chao Li, Xiaosong He, Runsen Chen, Tatsuo S. Okubo, Zaixu Cui

The paper uses graph neural networks to predict functional connectivity from structural connectivity in human brain networks, finding strong group-common structure-function coupling with some individual-specific effects.

Imaging Neuroscience · Jan 1, 2024Peer-reviewedNeuroscience