Publications

Research in AI safety and conformal uncertainty quantification for generative models, optimal transport, and stochastic differential equations.

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2026

Conf-Gen: Conformal Uncertainty Quantification for Generative Models

Gabriel Loaiza-Ganem, Kevin Zhang, Wenlong Cui, Marcus T. Law, Kelvin K. Leung

International Conference on Machine Learning

LLOT: Application of Laplacian Linear Optimal Transport in Spatial Transcriptome Reconstruction

Junhao Zhu, Kevin Zhang, Dehan Kong, Zhaolei Zhang

Biometrics · 82(1)

2025

Modeling Cell Type Developmental Trajectory using Multinomial Unbalanced Optimal Transport

Junhao Zhu, Kevin Zhang, Zhaolei Zhang, Dehan Kong

arXiv preprint · arXiv:2501.03501

arXiv Code

2024

Modeling Single Cell Trajectory Using Forward-Backward Stochastic Differential Equations

Kevin Zhang, Junhao Zhu, Dehan Kong, Zhaolei Zhang

PLOS Computational Biology

Journal Code

Applications of Optimal Transport and Stochastic Differential Equations in Single-Cell RNA Sequencing Data

Kevin Zhang

PhD Thesis · University of Toronto

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2018

Conserved Pbp1/Ataxin-2 Regulates Retrotransposon Activity and Connects Polyglutamine Expansion-Driven Protein Aggregation to Lifespan-Controlling rDNA Repeats

Lauren A. Ostrowski, Amanda C. Hall, Kirk J. Szafranski, Roxanne Oshidari, Karan J. Abraham, Janet NY. Chan, Christian Krustev, Kevin Zhang, Ashley Wang, Yupeng Liu, et al.

Communications Biology · Nature Publishing Group

DOI