Publication list

Authors are listed alphabetically, unless not.

  1. S Yu, A Kushner, E Teasell, W Zhao, S Srebnik, and K Dao Duc.
    Advance Coarse Grained Model for Fast Simulation of Nascent Polypeptide Chain within the Ribosome
    (submitted) Biophysical Journal

  2. EG Tabak, G Trigila, and W Zhao.
    The Hierarchical Barycenter: Conditional Probability Simulation with Structured and Unobserved Covariates
    (submitted) Machine Learning

  3. W Zhao, E Larschan, B Sandstede, and R Singh.
    Optimal Transport Reveals Dynamic Gene Regulatory Networks via Gene Velocity Estimation (preprint)
    (accepted) PLOS Computational Biology

  4. W Zhao, S Maffa, and B Sandstede.
    Data-driven Continuation of Patterns and their Bifurcations (poster) (preprint)
    (accepted) SIAM Journal on Applied Dynamical Systems.

  5. W Zhao and EG Tabak.
    Adaptive Kernel Conditional Density Estimation (preprint)(publication)
    Information and Inference: A Journal of the IMA (2025).

  6. EG Tabak, G Trigila, and W Zhao.
    The Conditional Barycenter Problem, its Data-Driven Formulation and its Solution through Normalizing Flows (preprint)(publication)
    Communications in Mathematical Sciences (2024).

  7. H Zhang and W Zhao.
    A Memory-efficient Neural ODE Framework Based on High-level Adjoint Differentiation (preprint) (publication)
    IEEE Transactions on Artificial Intelligence (2022).

  8. EG Tabak, G Trigila, and W Zhao.
    Distributional Barycenter Problem through Data-Driven Flows (preprint) (publication)
    Pattern Recognition (2022).

  9. W Zhao.
    Sample-based Optimal Transport in Statistical Data analysis.
    PhD thesis

  10. EG Tabak, G Trigila, and W Zhao.
    Conditional Density Estimation and Simulation through Optimal Transport (preprint)(publication)
    Machine Learning (2020).

  11. EG Tabak, G Trigila, and W Zhao.
    Data Driven Conditional Optimal Transport (poster) (preprint) (publication)
    33rd Conference on Neural Information Processing Systems (NeurIPS) OTML Workshop (2019). (Extended version in Machine Learning (2021))