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Huaqing Jin
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2020 – today
- 2024
- [i1]Hengrui Cai, Huaqing Jin, Lexin Li:
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference. CoRR abs/2408.01582 (2024) - 2023
- [j5]Huaqing Jin, Parul Verma, Fei Jiang, Srikantan S. Nagarajan, Ashish Raj:
Bayesian inference of a spectral graph model for brain oscillations. NeuroImage 279: 120278 (2023) - [j4]Huaqing Jin, Kamalini G. Ranasinghe, Pooja Prabhu, Corby Dale, Yijing Gao, Kiwamu Kudo, Keith Vossel, Ashish Raj, Srikantan S. Nagarajan, Fei Jiang:
Dynamic functional connectivity MEG features of Alzheimer's disease. NeuroImage 281: 120358 (2023) - 2022
- [j3]Huaqing Jin, Yanyuan Ma, Fei Jiang:
Matrix Completion with Covariate Information and Informative Missingness. J. Mach. Learn. Res. 23: 180:1-180:62 (2022) - [j2]Fei Jiang, Huaqing Jin, Yijing Gao, Xihe Xie, Jennifer Cummings, Ashish Raj, Srikantan S. Nagarajan:
Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging. NeuroImage 254: 119131 (2022) - [j1]Huaqing Jin, Guosheng Yin, Binhang Yuan, Fei Jiang:
Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences. Technometrics 64(2): 177-186 (2022) - [c1]Wenbin Du, Huaqing Jin, Chao Yu, Guosheng Yin:
Deep Reinforcement Learning for Bandit Arm Localization. IEEE Big Data 2022: 5243-5252
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