1 citations · 1 across the 11 of their papers we have counts for
11 papers
Data-Driven Tensor Decomposition Identification of Homogeneous Polynomial Dynamical Systems
Xin Mao, Joshua Pickard, Can Chen
Homogeneous polynomial dynamical systems (HPDSs), which can be equivalently represented by tensors, are essential for modeling higher-order networked systems, including ecological…
Structural Controllability of Large-Scale Hypergraphs
Joshua Pickard, Xin Mao, Can Chen
Controlling real-world networked systems, including ecological, biomedical, and engineered networks that exhibit higher-order interactions, remains challenging due to inherent nonl…
Maximum-Entropy Random Walks on Hypergraphs
Anqi Dong, Anzhi Sheng, Xin Mao +1
Random walks are fundamental tools for analyzing complex networked systems, including social networks, biological systems, and communication infrastructures. While classical random…
Model Reduction of Homogeneous Polynomial Dynamical Systems via Tensor Decomposition
Xin Mao, Can Chen
Model reduction plays a critical role in system control, with established methods such as balanced truncation widely used for linear systems. However, extending these methods to no…
Data-driven model order reduction for T-Product-Based dynamical systems
Shenghan Mei, Ziqin He, Yidan Mei +4
Model order reduction plays a crucial role in simplifying complex systems while preserving their essential dynamic characteristics, making it an invaluable tool in a wide range of…
Tensor-based homogeneous polynomial dynamical system analysis from data
Xin Mao, Anqi Dong, Ziqin He +3
Numerous complex real-world systems, such as those in biological, ecological, and social networks, exhibit higher-order interactions that are often modeled using polynomial dynamic…
Data-driven Analysis of T-Product-based Dynamical Systems
Xin Mao, Anqi Dong, Ziqin He +2
A wide variety of data can be represented using third-order tensors, spanning applications in chemometrics, psychometrics, and image processing. However, traditional data-driven fr…
Controllability and Observability of Temporal Hypergraphs
Anqi Dong, Xin Mao, Can Chen
Numerous complex systems, such as those arisen in ecological networks, genomic contact networks, and social networks, exhibit higher-order and time-varying characteristics, which c…
Heterogeneous Entity Representation for Medicinal Synergy Prediction
Jiawei Wu, Jun Wen, Mingyuan Yan +4
Medicinal synergy prediction is a powerful tool in drug discovery and development that harnesses the principles of combination therapy to enhance therapeutic outcomes by improving…
Network Learning with Directional Sign Patterns
Anqi Dong, Can Chen, Tryphon T. Georgiou
Complex systems can be effectively modeled via graphs that encode networked interactions, where relations between entities or nodes are often quantified by signed edge weights, e.g…
On Complexity of Stability Analysis in Higher-order Ecological Networks through Tensor Decompositions
Anqi Dong, Can Chen
Complex ecological networks are often characterized by intricate interactions that extend beyond pairwise relationships. Understanding the stability of higher-order ecological netw…