Publications

Zhang, Z., Bao, F., & Zhang, G. (2025). IEnSF: Iterative Ensemble Score Filter for Reducing Error in Posterior Score Estimation in Nonlinear Data Assimilation. arXiv preprint arXiv:2510.20159.

Zhang, Z., Tatsuoka, C., Xiu, D., & Zhang, G. (2025). Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification. arXiv preprint arXiv:2506.18227.

Tran, H., Zhang, Z., Bao, F., Lu, D., & Zhang, G. (2025). Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions. arXiv preprint arXiv:2505.07825.

Pieper, K., Zhang, Z., & Zhang, G. (2024). Nonuniform random feature models using derivative information. arXiv preprint arXiv:2410.02132.

Bao, F., Zhang, Z., & Zhang, G. (2026). United Filter for Jointly Estimating State and Parameters of Stochastic Dynamical Systems. Communications in Computational Physics, 39(3), 747-774.

Fan, M., Zhang, Z., Lu, D., & Zhang, G. (2025). GenAI4UQ: A software for forward and inverse uncertainty quantification using conditional generative AI. SoftwareX, 31, 102232.

Bao, F., Zhang, Z., & Zhang, G. (2024). An ensemble score filter for tracking high-dimensional nonlinear dynamical systems. Computer Methods in Applied Mechanics and Engineering, 432, 117447.

Zhang, Z., Bao, F., & Zhang, G. (2024). Improving the expressive power of deep neural networks through integral activation transform. International Journal of Numerical Analysis and Modeling, 21(5), 739-763.

Lu, D., Liu, Y., Zhang, Z., Bao, F., & Zhang, G. (2024). A diffusion‐based uncertainty quantification method to advance E3SM land model calibration. Journal of Geophysical Research: Machine Learning and Computation, 1(3), e2024JH000234.

Bao, F., Zhang, Z., & Zhang, G. (2024). A score-based filter for nonlinear data assimilation. Journal of Computational Physics, 514, 113207.

Zhang, Z., Bao, F., Ju, L., & Zhang, G. (2024). Transferable neural networks for partial differential equations. Journal of Scientific Computing, 99(1), 2.

Liu, Y., Yang, M., Zhang, Z., Bao, F., Cao, Y., & Zhang, G. (2024). Diffusion-model-assisted supervised learning of generative models for density estimation. Journal of Machine Learning for Modeling and Computing, 5(1).

Bao, F., Zhang, Z., & Zhang, G. (2024). An ensemble score filter for tracking high-dimensional nonlinear dynamical systems. Computer Methods in Applied Mechanics and Engineering, 432, 117447.

Zhang, Z., Archibald, R., & Bao, F. (2022). A PDE-based adaptive kernel method for solving optimal filtering problems. Journal of Machine Learning for Modeling and Computing, 3(3).