Wenjun Zhao
About
CV
Teaching
Upcoming
Past
Research
Publications


Publication list

Authors are listed alphabetically, unless not.

  1. AD Lipnick, EG Tabak, G Trigila, Y Wang, X Ye, and W Zhao.
    The Monge optimal transport barycenter problem (preprint)
    (submitted) Information and Inference: A Journal of the IMA

  2. 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 (preprint)
    (submitted) Biophysical Journal

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

  4. W Zhao, S Maffa, and B Sandstede.
    Data-driven Continuation of Patterns and their Bifurcations (poster) (preprint) (publication)
    SIAM Journal on Applied Dynamical Systems (2025).

  5. W Zhao, E Larschan, B Sandstede, and R Singh.
    Optimal Transport Reveals Dynamic Gene Regulatory Networks via Gene Velocity Estimation (preprint)(publication)
    PLOS Computational Biology (2025)

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

  7. 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).

  8. 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).

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

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

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

  12. 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))