Network structure preserving model reduction with weak a priori structural information. - Enoch Yeung; Jorge M. Gonçalves; Henrik Sandberg; Sean Warnick (CDC, 2009)

Representing structure in linear interconnected dynamical systems. - Enoch Yeung; Jorge M. Gonçalves; Henrik Sandberg; Sean Warnick (CDC, 2010)

Mathematical relationships between representations of structure in linear interconnected dynamical systems. - Enoch Yeung; Jorge M. Gonçalves; Henrik Sandberg; Sean Warnick (ACC, 2011)

The Meaning of Structure in Interconnected Dynamic Systems - Enoch Yeung; Jorge M. Gonçalves; Henrik Sandberg; Sean Warnick (CoRR, 2011)

Dynamical structure function identifiability conditions enabling signal structure reconstruction. - J. Adebayo; T. Southwick; Vasu Chetty; Enoch Yeung; Ye Yuan 002; Jorge M. Gonçalves; Julianne H. Grose; J. Prince; Guy-Bart Stan; Sean Warnick (CDC, 2012)

Quantifying crosstalk in biochemical systems. - Enoch Yeung; Jongmin Kim 001; Ye Yuan 002; Jorge M. Gonçalves; Richard M. Murray (CDC, 2012)

Modeling environmental disturbances with the chemical master equation. - Enoch Yeung; James L. Beck; Richard M. Murray (CDC, 2013)

Resource competition as a source of non-minimum phase behavior in transcription-translation systems. - Enoch Yeung; Jongmin Kim 001; Richard M. Murray (CDC, 2013)

Initial-Condition Estimation in Network Synchronization Processes: Algebraic and Graphical Characterizations of the Estimator. - Mengran Xue; Enoch Yeung; Anurag Rai; Sandip Roy 002; Yan Wan 001; Sean Warnick (Complex Syst., 2013)

Modeling the effects of compositional context on promoter activity in an E. coli extract based transcription-translation system. - Enoch Yeung; Andrew Ng 001; Jongmin Kim 001; Zachary Z. Sun; Richard M. Murray (CDC, 2014)

Global network identification from reconstructed dynamical structure subnetworks: Applications to biochemical reaction networks. - Enoch Yeung; Jongmin Kim 001; Jorge M. Gonçalves; Richard M. Murray (CDC, 2015)

Contingency analysis of water distribution networks using quadratic sensitivity functions. - Enoch Yeung; David R. Judi; W. Brent Daniel (ACC, 2017)

Solving differential equations with unknown constitutive relations as recurrent neural networks. - Tobias Hagge; Panos Stinis; Enoch Yeung; Alexandre M. Tartakovsky (CoRR, 2017)

A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems. - Ye Yuan 002; Anurag Rai; Enoch Yeung; Guy-Bart Stan; Sean Warnick; Jorge M. Gonçalves (IEEE Trans. Control. Netw. Syst., 2017)

A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators. - Charles A. Johnson; Enoch Yeung (ACC, 2018)

Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians. - Zhiyuan Liu 003; Soumya Kundu; Lijun Chen 001; Enoch Yeung (ACC, 2018)

A Koopman Operator Approach for Computing and Balancing Gramians for Discrete Time Nonlinear Systems. - Enoch Yeung; Zhiyuan Liu 003; Nathan O. Hodas (ACC, 2018)

Stabilization of Power Networks via Market Dynamics. - Pengcheng You; John Z. F. Pang; Enoch Yeung (e-Energy, 2018)

Decomposition of Nonlinear Dynamical Networks Via Comparison Systems. - Abdullah Al Maruf; Soumya Kundu; Enoch Yeung; Marian Anghel (ECC, 2018)

On Computation of Koopman Operator from Sparse Data. - Subhrajit Sinha; Umesh Vaidya; Enoch Yeung (ACC, 2019)

Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems. - Enoch Yeung; Soumya Kundu; Nathan O. Hodas (ACC, 2019)

Design and Simulation of Patient-Specific Tissue-Engineered Bifurcated Right Ventricle-Pulmonary Artery Grafts using Computational Fluid Dynamics. - Seda Aslan; Henry R. Halperin; Laura Olivieri; Narutoshi Hibino; Axel Krieger; Yue-Hin Loke; Paige Mass; Kevin Nelson; Enoch Yeung; Jed Johnson; Justin D. Opfermann; Hiroshi Matsushita; et al. (BIBE, 2019)

A data-driven method for quantifying the impact of a genetic circuit on its host. - Aqib Hasnain; Diveena Becker; Atsede Siba; Narendra Maheshri; Ben Gordon; Chris Voigt; Enoch Yeung; Subhrajit Sinha; Yuval Dorfan; Amin Espah Borujeni; Yongjin Park; Paul Maschhoff; et al. (BioCAS, 2019)

Koopman Operators for Generalized Persistence of Excitation Conditions for Nonlinear Systems. - Nibodh Boddupalli; Aqib Hasnain; Sai Pushpak Nandanoori; Enoch Yeung (CDC, 2019)

Optimal reporter placement in sparsely measured genetic networks using the Koopman operator. - Aqib Hasnain; Nibodh Boddupalli; Enoch Yeung (CDC, 2019)

A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings. - W. Brent Daniel; Enoch Yeung (CoRR, 2019)

Persistence of Excitation for Koopman Operator Represented Dynamical Systems. - Nibodh Boddupalli; Aqib Hasnain; Enoch Yeung (CoRR, 2019)

Online Learning of Dynamical Systems: An Operator Theoretic Approach. - Subhrajit Sinha; Sai Pushpak Nandanoori; Enoch Yeung (CoRR, 2019)

Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics. - Subhrajit Sinha; Umesh Vaidya; Enoch Yeung (CoRR, 2019)

Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks. - Panos Stinis; Tobias Hagge; Alexandre M. Tartakovsky; Enoch Yeung (J. Comput. Phys., 2019)

Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm. - Zhiyuan Liu 003; Guohui Ding 002; Lijun Chen 001; Enoch Yeung (ACC, 2020)

Prediction of fitness in bacteria with causal jump dynamic mode decomposition. - Shara Balakrishnan; Aqib Hasnain; Nibodh Boddupalli; Dennis M. Joshy; Robert G. Egbert; Enoch Yeung (ACC, 2020)

Steady state programming of controlled nonlinear systems via deep dynamic mode decomposition. - Aqib Hasnain; Nibodh Boddupalli; Shara Balakrishnan; Enoch Yeung (ACC, 2020)

Data-Driven Operator Theoretic Methods for Global Phase Space Learning. - Sai Pushpak Nandanoori; Subhrajit Sinha; Enoch Yeung (ACC, 2020)

Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. - Subhrajit Sinha; Sai Pushpak Nandanoori; Enoch Yeung (SmartGridComm, 2020)

Data Driven Online Learning of Power System Dynamics. - Subhrajit Sinha; Sai Pushpak Nandanoori; Enoch Yeung (CoRR, 2020)

The Effect of Sensor Fusion on Data-Driven Learning of Koopman Operators. - Shara Balakrishnan; Aqib Hasnain; Robert G. Egbert; Enoch Yeung (CoRR, 2021)

Prediction of whole-cell transcriptional response with machine learning. - Mohammed Eslami; Amin Espah Borujeni; Hamed Eramian; Mark Weston; George Zheng; Joshua Urrutia; Carolyn Corbet; Diveena Becker; Paul Maschhoff; Katie Clowers; Alexander Cristofaro; Hamid Doost Hosseini; et al. (Bioinform., 2022)

Heterogeneous mixtures of dictionary functions to approximate subspace invariance in Koopman operators. - Charles A. Johnson; Shara Balakrishnan; Enoch Yeung (CoRR, 2022)

Data-Driven Observability Decomposition with Koopman Operators for Optimization of Output Functions of Nonlinear Systems. - Shara Balakrishnan; Aqib Hasnain; Robert G. Egbert; Enoch Yeung (CoRR, 2022)

Learning Invariant Subspaces of Koopman Operators-Part 1: A Methodology for Demonstrating a Dictionary's Approximate Subspace Invariance. - Charles A. Johnson; Shara Balakrishnan; Enoch Yeung (CoRR, 2022)

Learning Invariant Subspaces of Koopman Operators-Part 2: Heterogeneous Dictionary Mixing to Approximate Subspace Invariance. - Charles A. Johnson; Shara Balakrishnan; Enoch Yeung (CoRR, 2022)

Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis. - Sai Pushpak Nandanoori; Subhrajit Sinha; Enoch Yeung (J. Nonlinear Sci., 2022)

An SVD-like Decomposition of Bounded-Input Bounded-Output Functions. - Brian Charles Brown; Michael King; Sean Warnick; Enoch Yeung; David Grimsman (CoRR, 2024)

Modeling Control of Supercoiling Dynamics and Transcription Using DNA-Binding Proteins. - Harris Clark; Aleczander Taylor; Enoch Yeung (IEEE Control. Syst. Lett., 2024)

An SVD-like Decomposition of Functions with Finite 2-induced Norm. - Brian Charles Brown; Michael King; Sean Warnick; Enoch Yeung; David Grimsman (ACC, 2025)

Controlling Peak Sharpness in Multimodal Biomolecular Systems via the Chemical Fokker-Planck Equation. - Taishi Kotsuka; Enoch Yeung (CoRR, 2025)

Heterogeneous Mixtures of Dictionary Functions to Approximate Subspace Invariance in Koopman Operators: Why Deep Koopman Operators Works. - Charles A. Johnson; Shara Balakrishnan; Enoch Yeung (J. Nonlinear Sci., 2025)