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Cai, B., Zhang, G., Zhang, A., Xiao, L., Hu, W., Stephen, J. M., Wilson, T. W., Calhoun, V. D. andWang, Y.P. (2021) Functional connectome fingerprinting: identifying individuals and predictingcognitive functions via autoencoder. Human Brain Mapping 42.9, 2691-2705.

Hu, W., Meng, X., Bai, Y., Zhang, A., Cai, B., Stephen, J. M., Wilson, T. W., Calhoun, V. D. andWang, Y.P. (2021) Interpretable multimodal fusion networks reveal mechanisms of braincognition. IEEE Transactions on Medical Imaging, vol. 40, no. 5, pp. 1474-1483.

Xiao, L., Zhang, A., Cai, B., Stephen, J. M., Wilson, T. W., Calhoun, V. D. and Wang, Y.P. (2020)Correlation Guided Graph Learning to Estimate Functional Connectivity Networks from fMRIData. IEEE Transactions on Biomedical Engineering, vol. 68, no. 4, pp. 1154-1165.

Zhang, A., Cai, B., Hu, W., Jia, B., Liang, F., Wilson, T.W., Stephen, J.M., Calhoun, V.D. and Wang,Y.P., 2019. Joint Bayesian-incorporating estimation of multiple Gaussian graphical models tostudy brain connectivity development in adolescence. IEEE transactions on medical imaging,39(2), 357-365.

Zhang, G., Cai, B., Zhang, A., Stephen, J.M., Wilson, T.W., Calhoun, V.D. and Wang, Y.P., 2019. Estimating dynamic functional brain connectivity with a sparse hidden Markov model. IEEEtransactions on medical imaging, 39(2), 488-498.

Zhang, A., Fang, J., Liang, F., Calhoun, V.D. and Wang, Y.P., 2018. Aberrant Brain Connectivity inSchizophrenia Detected via a Fast Gaussian Graphical Model. IEEE journal of biomedical andhealth informatics, 23(4), pp.1479-1489.

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