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Publications

A complete list of publications can be found on Google Scholar.

* indicates co-first authors

Submitted

  • Yidan Mei*, Ziqin He*, Xin Mao, Anqi Dong, and Can Chen. On Controllability of Multilinear Dynamical Systems. Submitted to Proceedings of the 2025 European Control Conference.
  • Ding Zhang, Jane Downer, Can Chen, and Ren Wang. Efficient and Robust Continual Graph Learning for Graph Classification in Biology. Submitted to IEEE Transactions on Signal and Information Processing over Networks. [arXiv]
  • Xin Mao, Anqi Dong, Ziqin He, Yidan Mei, and Can Chen. Data-driven Analysis of T-Product-based Dynamical Systems. Submitted to IEEE Control Systems Letters. [arXiv]
  • Can Chen. Data-driven Analysis of Multilinear Dynamical Systems through Tensor Decompositions. Submitted to Proceedings of the 2025 American Control Conference.

2024

  • Jiawei Wu*, Jun Wen*, Mingyuan Yan*, Anqi Dong, Shuai Gao, Ren Wang, and Can Chen. Heterogeneous Entity Representation for Medicinal Synergy Prediction. Bioinformatics, 2024 (accepted). [arXiv]
  • Anqi Dong, Can Chen, and Tryphon T. Georgiou. Network Learning with Directional Sign Patterns. Proceedings of the 2024 IEEE Conference on Decision and Control, IEEE, 2024 (accepted). [arXiv]
  • Anqi Dong*, Xin Mao*, Ram Vasudevan, and Can Chen. Controllability and Observability of Temporal Hypergraphs. IEEE Control Systems Letters, vol. 8, pp. 2571 – 2576, 2024. [Article][PDF]
  • 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, vol. 45, no. 3, pp. 1621-1642, 2024. [Article][PDF]
  • Can Chen, Xu-Wen Wang, and Yang-Yu Liu. Stability of Ecological Systems: A Theoretical Review. Physics Reports, vol. 1088, pp. 1-41, 2024. [Article][PDF]
  • Anqi Dong and Can Chen. On Complexity of Stability Analysis in Higher-order Ecological Networks through Tensor Decompositions. Proceedings of the 2024 European Control Conference, pp. 2934-2939, IEEE, 2024. [Article][PDF]
  • Soham Purohit, Can Chen, and Ram Vasudevan. Reachable Sets of Homogeneous Polynomial Dynamical Systems Using Exact Solutions. IEEE Control Systems Letters, vol. 8, pp. 742-747, 2024. [Article][PDF]
  • 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 and Yang-Yu Liu. A Survey on Hyperlink Prediction. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 11, pp. 15034-15050, 2024 (published in 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]
  • 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, p. 63, 2023. [Article][PDF]

2022

  • 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 (published in 2022). [Article][PDF]
  • 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 (published in 2022). [Article][PDF]
  • 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 2019 Conference on Control and its Applications, pp. 118-125, SIAM, 2019. [Article][PDF]