Yiming Che (车一鸣)

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Yiming Che, Ph.D., is a postdoctoral research fellow in Wu Lab at ASU, advised by Dr. Teresa Wu. My resume can be found Here. Previously, I received my Ph.D. in Systems Science from Binghamton University, advised by Dr. Changqing Cheng.

Research: I'm currently interested in generative model, e.g., medical imaging with diffusion model, Bayesian deep learning, Gaussian process and active learning. I'm switching my research direction to bioinformatics with deep learning.

Current Work:

  • Weakly-supervised brain tumor segmentation
  • Interpretable classification with generative models
  • Multi-modality fusion for traumatic brain injury diagnosis

News

Mar 21, 2024 Yiming Che received the 2023 Distinguished Dissertation Award, Binghamton University.
May 5, 2023 Yiming Che received the Excellence in Systems Science Research Award, Binghamton University.
Feb 22, 2021 Yiming Che received the Binghamton University Graduate Student Excellence Award in Research, Binghamton University.

Selected publications [full list]

  1. Physical-statistical learning in resilience assessment for power generation systems
    Yiming Che, Ziang John Zhang, and Changqing Cheng
    Physica A: Statistical Mechanics and its Applications 2023
  2. Generalized polynomial chaos-informed efficient stochastic Kriging
    Yiming Che, Ziqi Guo, and Changqing Cheng
    Journal of Computational Physics 2021
  3. Fast basin stability estimation for dynamic systems under large perturbations with sequential support vector machine
    Yiming Che, Changqing Cheng, Zhao Liu, and Ziang John Zhang
    Physica D: Nonlinear Phenomena 2020
  4. Chaos
    Multi-fidelity modeling in sequential design for stability identification in dynamic time-delay systems
    Yiming Che, Jiachen Liu, and Changqing Cheng
    Chaos: An Interdisciplinary Journal of Nonlinear Science 2019
  5. Uncertainty quantification in stability analysis of chaotic systems with discrete delays
    Yiming Che, and Changqing Cheng
    Chaos, Solitons & Fractals 2018