activity
20232026
collaborators

5 papers

cs.LG2026

Adaptive Bregman Alternating Projections for Feasible Gromov-Wasserstein Learning

Aoran Zhang, César A. Uribe

The Gromov-Wasserstein (GW) problem compares structured distributions without requiring a shared feature space or known correspondences, but its nonconvex objective and coupled mar…

q-bio.PE2026

Identifying common backbones of interactions underlying food webs via non-deterministic alignments

Yifan Xu, Carlos Taveras, Lydia Beaudrot +1

Climate change reshapes food webs by altering species distributions and interactions, making it essential to identify structural backbones of interactions that persist across ecosy…

stat.ML2026

Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks

Aoran Zhang, Tianyao Wei, Maria J. Guerrero +1

Recovering latent structure from count data has received considerable attention in network inference, particularly when one seeks both cross-group interactions and within-group sim…

math.OC2024

Sparse factorization of the square all-ones matrix of arbitrary order

Xin Jiang, Edward Duc Hien Nguyen, César A. Uribe +1

In this paper, we study sparse factorization of the (scaled) square all-ones matrix of arbitrary order. We introduce the concept of hierarchically banded matrices and propose t…

math.OC2023

On graphs with finite-time consensus and their use in gradient tracking

Edward Duc Hien Nguyen, Xin Jiang, Bicheng Ying +1

This paper studies sequences of graphs satisfying the finite-time consensus property (i.e., iterating through such a finite sequence is equivalent to performing global or exact ave…