Zhijian Yang
Orcid: 0000-0003-1723-9360
According to our database1,
Zhijian Yang
authored at least 38 papers
between 2004 and 2024.
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Bibliography
2024
Revisiting subgroup membership testing on pairing-friendly curves via the Tate pairing.
IACR Cryptol. ePrint Arch., 2024
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning.
CoRR, 2024
Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Conference on Communications, 2024
2023
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease.
NeuroImage, October, 2023
Stability of strong exponential attractors for the Kirchhoff wave model with structural nonlinear damping.
Appl. Math. Lett., October, 2023
Applications of generative adversarial networks in neuroimaging and clinical neuroscience.
NeuroImage, April, 2023
IET Image Process., March, 2023
IACR Cryptol. ePrint Arch., 2023
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
CoRR, 2023
2022
Some Geometric Constants Related to the Midline of Equilateral Triangles in Banach Spaces.
Symmetry, 2022
Medical Image Anal., 2022
Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Analytical Prediction and Minimization of Deadtime-Related Harmonics in Permanent Magnet Synchronous Motor.
IEEE Trans. Ind. Electron., 2021
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR, 2021
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease.
CoRR, 2021
Machine learning and statistical prediction of patient quality-of-life after prostate radiation therapy.
Comput. Biol. Medicine, 2021
Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021
2020
Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images.
CoRR, 2020
Regular solutions and strong attractors for the Kirchhoff wave model with structural nonlinear damping.
Appl. Math. Lett., 2020
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020
2019
J. Sci. Comput., 2019
A finite element method by patch reconstruction for the Stokes problem using mixed formulations.
J. Comput. Appl. Math., 2019
Proceedings of the 1st International Workshop on Earable Computing, 2019
2018
Appl. Math. Lett., 2018
Proceedings of the 16th Annual International Conference on Mobile Systems, 2018
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
2017
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Upper semicontinuity of global attractors for a family of semilinear wave equations with gentle dissipation.
Appl. Math. Lett., 2017
2015
Exponential attractor for the Kirchhoff equations with strong nonlinear damping and supercritical nonlinearity.
Appl. Math. Lett., 2015
2014
Global attractor for the Kirchhoff type equations with strong nonlinear damping and supercritical nonlinearity.
Appl. Math. Lett., 2014
2013
Appl. Math. Comput., 2013
2004
Microelectron. Reliab., 2004