A Vectorial Approach to Unbalanced Optimal Mass Transport. - Jiening Zhu; Rena Elkin; Jung Hun Oh; Joseph O. Deasy; Allen R. Tannenbaum (IEEE Access, 2020)

Optimal transport for vector Gaussian mixture models. - Jiening Zhu; Kaiming Xu; Allen R. Tannenbaum (CoRR, 2020)

The maximum entropy principle for compositional data. - Corey Weistuch; Jiening Zhu; Joseph O. Deasy; Allen R. Tannenbaum (BMC Bioinform., 2022)

Optimal Transport for Kernel Gaussian Mixture Models. - Jung Hun Oh; Rena Elkin; Anish Kumar Simhal; Jiening Zhu; Joseph O. Deasy; Allen R. Tannenbaum (CoRR, 2023)

Geometric graph neural networks on multi-omics data to predict cancer survival outcomes. - Jiening Zhu; Jung Hun Oh; Anish K. Simhal; Rena Elkin; Larry Norton; Joseph O. Deasy; Allen R. Tannenbaum (Comput. Biol. Medicine, 2023)

Multi-omic integrated curvature study on pan-cancer genomic data. - Jiening Zhu; Anh Phong Tran; Joseph O. Deasy; Allen R. Tannenbaum (Math. Control. Signals Syst., 2024)

Wasserstein HOG: Local Directionality Extraction via Optimal Transport. - Jiening Zhu; Harini Veeraraghavan; Jue Jiang; Jung Hun Oh; Larry Norton; Joseph O. Deasy; Allen R. Tannenbaum (IEEE Trans. Medical Imaging, 2024)