activity
20112026
most citedConvexity in Tree Spaces

42 citations · 59 across the 23 of their papers we have counts for

collaborators

25 papers

q-bio.MN2026

Characterization of Minimal Degenerate Zero-One Reaction Networks

Yuanlin Chen, Xiaoxian Tang

A fundamental problem in the algebraic study of biochemical reaction networks is to characterize degeneracy. Two-dimensional zero-one networks, where each reactant appears with sto…

stat.ML2026

Detecting Nonproperness of Likelihood Equations

Xiaoxian Tang, Bican Xia, Tianqi Zhao

Given an algebraic statistical model, a challenging problem is classifying the data according to the number of positive critical points of the likelihood function. The positive cri…

math.DS2026

The Ubiquity of Three Steady States: Minimal Multistable Zero-One Reaction Networks

Xiaoxian Tang, Jiandong Zhang

Biochemical networks with unit stoichiometry arise naturally in receptor-ligand binding and multisite phosphorylation systems. A central question is to identify which networks admi…

q-bio.MN2026

Obstruction of Absolute Concentration Robustness by Conservation Laws in Non-Redundant Zero-One Networks

Xinyi Si, Xiaoxian Tang

Absolute concentration robustness (ACR) is a structural property of biochemical reaction networks in which a species attains the same steady-state concentration at every positive s…

q-bio.MN2022

Hopf Bifurcations of Reaction Networks with Zero-One Stoichiometric Coefficients

Xiaoxian Tang, Kaizhang Wang

For the reaction networks with zero-one stoichiometric coefficients (or simply zero-one networks), we prove that if a network admits a Hopf bifurcation, then the rank of the stoich…

math.CO2021

Projections of Tropical Fermat-Weber Points

Weiyi Ding, Xiaoxian Tang

In the tropical projective torus, it is not guaranteed that the projection of a Fermat-Weber point of a given data set is a Fermat-Weber point of the projection of the data set. In…

math.DS2021★ 1 cited

Multistationarity of Reaction Networks with One-Dimensional Stoichiometric Subspaces

Kexin Lin, Xiaoxian Tang, Zhishuo Zhang

We study the multistationarity for the reaction networks with one-dimensional stoichiometric subspaces, and we focus on the networks admitting finitely many positive steady states.…

math.DS2020★ 1 cited

Multistability of Reaction Networks with One-Dimensional Stoichiometric Subspaces

Xiaoxian Tang, Zhishuo Zhang

For the reaction networks with one-dimensional stoichiometric subspaces, we show the following results. (1) If the maximum number of positive steady states is an even number N, the…

q-bio.MN2020★ 2 cited

Multistability of Small Reaction Networks

Xiaoxian Tang, Hao Xu

For three typical sets of small reaction networks (networks with two reactions, one irreversible and one reversible reaction, or two reversible-reaction pairs), we completely answe…

math.CO2020★ 8 cited

Tropical Support Vector Machine and its Applications to Phylogenomics

Xiaoxian Tang, Houjie Wang, Ruriko Yoshida

Most data in genome-wide phylogenetic analysis (phylogenomics) is essentially multidimensional, posing a major challenge to human comprehension and computational analysis. Also, we…

q-bio.MN2019

Dynamics of ERK regulation in the processive limit

Carsten Conradi, Nida Obatake, Anne Shiu +1

We consider a model of extracellular signal-regulated kinase (ERK) regulation by dual-site phosphorylation and dephosphorylation, which exhibits bistability and oscillations, but l…

math.DS2019★ 1 cited

Bistability of Sequestration Networks

Xiaoxian Tang, Jie Wang

We solve a conjecture on multiple nondegenerate steady states, and prove bistability for sequestration networks. More specifically, we prove that for any odd number of species, and…

q-bio.MN2019

Oscillations and bistability in a model of ERK regulation

Nida Obatake, Anne Shiu, Xiaoxian Tang +1

This work concerns the question of how two important dynamical properties, oscillations and bistability, emerge in an important biological signaling network. Specifically, we consi…

cs.SC2018

Computing Elimination Ideals and Discriminants of Likelihood Equations

Xiaoxian Tang, Timo De Wolff, Rukai Zhao

We develop a probabilistic algorithm for computing elimination ideals of likelihood equations, which is for larger models by far more efficient than directly computing Groebner bas…

q-bio.MN2018

Multistationarity in Structured Reaction Networks

Alicia Dickenstein, Mercedes Perez Millan, Anne Shiu +1

Many dynamical systems arising in biology and other areas exhibit multistationarity (two or more positive steady states with the same conserved quantities). Although deciding multi…

stat.ME2016★ 1 cited

Principal component analysis and the locus of the Frechet mean in the space of phylogenetic trees

Tom M. W. Nye, Xiaoxian Tang, Grady Weyenberg +1

Most biological data are multidimensional, posing a major challenge to human comprehension and computational analysis. Principal component analysis is the most popular approach to…

math.CO2016★ 3 cited

New Upper Bounds for Equiangular Lines by Pillar Decomposition

Emily J. King, Xiaoxian Tang

We derive a procedure for computing an upper bound on the number of equiangular lines in various Euclidean vector spaces by generalizing the classical pillar decomposition develope…

cs.SC2015

A Probabilistic Algorithm for Computing Data-Discriminants of Likelihood Equations

Jose Israel Rodriguez, Xiaoxian Tang

An algebraic approach to the maximum likelihood estimation problem is to solve a very structured parameterized polynomial system called likelihood equations that have finitely many…

math.MG2015★ 42 cited

Convexity in Tree Spaces

Bo Lin, Bernd Sturmfels, Xiaoxian Tang +1

We study the geometry of metrics and convexity structures on the space of phylogenetic trees, which is here realized as the tropical linear space of all \ ultrametrics. The ${\rm C…

cs.SC2015

Data-Discriminants of Likelihood Equations

Jose Israel Rodriguez, Xiaoxian Tang

Maximum likelihood estimation (MLE) is a fundamental computational problem in statistics. The problem is to maximize the likelihood function with respect to given data on a statist…

cs.SC2014

Hierarchical Comprehensive Triangular Decomposition

Zhenghong Chen, Xiaoxian Tang, Bican Xia

The concept of comprehensive triangular decomposition (CTD) was first introduced by Chen et al. in their CASC'2007 paper and could be viewed as an analogue of comprehensive Grobner…

cs.SC2013

Special Algorithm for Stability Analysis of Multistable Biological Regulatory Systems

Hoon Hong, Xiaoxian Tang, Bican Xia

We consider the problem of counting (stable) equilibriums of an important family of algebraic differential equations modeling multistable biological regulatory systems. The problem…

cs.SC2013

Generic Regular Decompositions for Parametric Polynomial Systems

Zhenghong Chen, Xiaoxian Tang, Bican Xia

This paper presents a generalization of our earlier work in [19]. In this paper, the two concepts, generic regular decomposition (GRD) and regular-decomposition-unstable (RDU) vari…

cs.SC2012

Generic Regular Decompositions for Generic Zero-Dimensional Systems

Xiaoxian Tang, Zhenghong Chen, Bican Xia

Two new concepts, generic regular decomposition and regular-decomposition-unstable (RDU) variety for generic zero-dimensional systems, are introduced in this paper and an algorithm…