Skip to main content

Publications

Submitted

  • Anqi Dong, Can Chen, and Tryphon T. Georgiou. Network Learning with Directional Sign Patterns. Submitted to Proceedings of the IEEE Conference on Decision and Control. [arXiv]
  • Can Chen, Xu-Wen Wang, and Yang-Yu Liu. Stability of Ecological Systems: A Theoretical Review. Submitted to Physics Reports. [arXiv]

2024

  • Soham Purohit, Can Chen, and Ram Vasudevan. Reachable Sets of Homogeneous Polynomial Dynamical Systems Using Exact Solutions. IEEE Control Systems Letters, Accepted to appear, 2024.
  • Joshua Pickard, Can Chen, Cooper Stansbury, Amit Surana, Anthony M. Bloch, and Indika Rajapakse. Kronecker Product of Tensors and Hypergraphs: Structure and Dynamics. SIAM Journal on Matrix Analysis and Applications, Accepted to appear, 2024. [arXiv]
  • Anqi Dong and Can Chen. On Complexity of Stability Analysis in Higher-order Ecological Networks through Tensor Decompositions. Proceedings of the European Control Conference, Accepted to appear, 2024. [arXiv]
  • Can Chen. Tensor-based Dynamical Systems – Theory and Applications. Synthesis Lectures on Mathematics & Statistics, Springer Nature, 2024. [Article]
  • Can Chen. On the Stability of Discrete-time Homogeneous Polynomial Dynamical Systems. Computational and Applied Mathematics, vol. 43, p. 75, 2024. [Article][PDF]

2023

  • Can Chen. Explicit Solutions and Stability Properties of Homogeneous Polynomial Dynamical Systems. IEEE Transactions on Automatic Control, vol. 69, no. 8, pp. 4962-4969, 2023. [Article][PDF]
  • Can Chen and Yang-Yu Liu. A Survey on Hyperlink Prediction. IEEE Transactions on Neural Networks and Learning Systems, In press, 2023. [Article][PDF]
  • Joshua Pickard, Can Chen, Rahmy Salman, Cooper Stansbury, Sion Kim, Amit Surana, Anthony M. Bloch, and Indika Rajapakse. HAT: Hypergraph Analysis Toolbox.  PLoS Computational Biology, vol. 19, no. 6, p. e101119, 2023. [Article][PDF]
  • Can Chen*, Chen Liao*, and Yang-Yu Liu. Teasing out Missing Reactions in Genome-scale Metabolic Networks through Hypergraph Learning. Nature Communications, vol. 14, p. 2375, 2023. [Article][PDF]
  • Can Chen, Scott T. Weiss, and Yang-Yu Liu. Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data. Bioinformatics, vol. 39, no. 4, p. btad135, 2023. [Article][PDF]
  • Amit Surana, Can Chen, and Indika Rajapakse. Hypergraph Similarity Measures. IEEE Transactions on Network Science and Engineering, vol. 10, no. 2, pp. 658-674, 2023. [Article][PDF]
  • Xu-Wen Wang, Tong Wang, Darius Schaub, Can Chen, Zheng Sun, Shanlin Ke, Julian Hecker, Anna Maaser-Hecker, Oana A. Zeleznik, Roman Zeleznik, Augusto A. Litonjua, Dawn DeMeo, Jessica Lasky-Su, Edwin Silverman, Yang-Yu Liu, and Scott T. Weiss. Benchmarking Omics-based Prediction of Asthma Development in Children. Respiratory Research, vol. 24, no. 1, pp. 1-8, 2023. [Article][PDF]

2022

  • Gabrielle A. Dotson*, Can Chen*, Stephen Lindsly*, Anthony Cicalo, Sam Dilworth, Charles Ryan, Sivakumar Jeyarajan, Walter Meixner, Nicholas Beckloff, Joshua Pickard, Amit Surana, Max Wicha, Lindsey A. Muir, and Indika Rajapakse. Deciphering Multi-way Interactions in the Human Genome. Nature Communications, vol. 13, p. 5498, 2022. [Article][PDF]

2021

  • Stephen Lindsly, Wenlong Jia, Haiming Chen, Sijia Liu, Scott Ronquist, Can Chen, Xingzhao Wen, Cooper Stansbury, Gabrielle A. Dotson, Charles Ryan, Alnawaz Rehemtulla, Gilbert S. Omenn, Max Wicha, Shuai Cheng Li, Lindsey Muir, and Indika Rajapakse. Functional Organization of the Maternal and Paternal Human 4D Nucleome. iScience, vol. 26, no. 12, p. 103452, 2021. [Article][PDF]
  • Gabrielle A. Dotson, Charles W. Ryan, Can Chen, Lindsey Muir, and Indika Rajapakse. Cellular Reprogramming: Mathematics Meets Medicine. Wiley Interdisciplinary Reviews: Mechanisms of Disease, vol. 13, no. 4, p. e1515, 2021. [Article][PDF]
  • Can Chen, Amit Surana, Anthony M. Bloch, and Indika Rajapakse. Controllability of Hypergraphs. IEEE Transactions on Network Science and Engineering, vol. 8, no. 2, pp. 1646-1657, 2021. [Article][PDF] 
  • Stephen Lindsly, Can Chen, Sijia Liu, Scott Ronquist, Samuel Dilworth, Michael Perlman, and Indika Rajapakse. 4DNvestigator: Time Series Genomic Data Analysis Toolbox. Nucleus, vol. 12, no. 1, pp. 58-64, 2021. [Article][PDF]
  • Patrick Sweeney*, Can Chen*, Indika Rajapakse, and Roger D. Cone. Network Dynamics of Hypothalamic Feeding Neurons. Proceedings of the National Academy of Sciences, vol. 118, no. 14, p. e2011140118, 2021. [Article][PDF]
  • Can Chen, Amit Surana, Anthony M. Bloch, and Indika Rajapakse. Multilinear Control Systems Theory. SIAM Journal on Control and Optimization, vol. 59, no. 1, pp. 749–776, 2021. [Article][PDF]

2020

  • Can Chen and Indika Rajapakse. Tensor Entropy for Uniform Hypergraphs. IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, pp. 2889-2900, 2020. [Article][PDF]

2019

  • Can Chen, Amit Surana, Anthony M. Bloch, and Indika Rajapakse. Multilinear Time Invariant System Theory. Proceedings of the Conference on Control and its Applications, pp. 118-125, SIAM, 2019. [Article][PDF]

* indicates co-first authors