Enoch Yeung

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 44

Top Topics

Dynamical Systems

Top Venues

Publications

Brian Charles Brown, Michael King, Sean Warnick, Enoch Yeung, David Grimsman
An SVD-like Decomposition of Bounded-Input Bounded-Output Functions. CoRR (2024)
Shara Balakrishnan, Aqib Hasnain, Robert G. Egbert, Enoch Yeung
Data-Driven Observability Decomposition with Koopman Operators for Optimization of Output Functions of Nonlinear Systems. CoRR (2022)
Charles A. Johnson, Shara Balakrishnan, Enoch Yeung
Learning Invariant Subspaces of Koopman Operators-Part 1: A Methodology for Demonstrating a Dictionary's Approximate Subspace Invariance. CoRR (2022)
Charles A. Johnson, Shara Balakrishnan, Enoch Yeung
Heterogeneous mixtures of dictionary functions to approximate subspace invariance in Koopman operators. CoRR (2022)
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, D. Benjamin Gordon, Yuval Dorfan, Jedediah Singer, Matthew Vaughn, Niall Gaffney, John Fonner, Joe Stubbs, Christopher A. Voigt, Enoch Yeung
Prediction of whole-cell transcriptional response with machine learning. Bioinform. 38 (2) (2022)
Charles A. Johnson, Shara Balakrishnan, Enoch Yeung
Learning Invariant Subspaces of Koopman Operators-Part 2: Heterogeneous Dictionary Mixing to Approximate Subspace Invariance. CoRR (2022)
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis. J. Nonlinear Sci. 32 (6) (2022)
Shara Balakrishnan, Aqib Hasnain, Robert G. Egbert, Enoch Yeung
The Effect of Sensor Fusion on Data-Driven Learning of Koopman Operators. CoRR (2021)
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis. CoRR (2021)
Aqib Hasnain, Nibodh Boddupalli, Shara Balakrishnan, Enoch Yeung
Steady state programming of controlled nonlinear systems via deep dynamic mode decomposition. ACC (2020)
Shara Balakrishnan, Aqib Hasnain, Nibodh Boddupalli, Dennis M. Joshy, Robert G. Egbert, Enoch Yeung
Prediction of fitness in bacteria with causal jump dynamic mode decomposition. ACC (2020)
Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
Data Driven Online Learning of Power System Dynamics. CoRR (2020)
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
Data-Driven Operator Theoretic Methods for Global Phase Space Learning. ACC (2020)
Shara Balakrishnan, Aqib Hasnain, Nibodh Boddupalli, Dennis M. Joshy, Robert G. Egbert, Enoch Yeung
Prediction of fitness in bacteria with causal jump dynamic mode decomposition. CoRR (2020)
Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. SmartGridComm (2020)
Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. CoRR (2020)
Zhiyuan Liu, Guohui Ding, Lijun Chen, Enoch Yeung
Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm. ACC (2020)
Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics. CoRR (2019)
Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
On Computation of Koopman Operator from Sparse Data. ACC (2019)
Panos Stinis, Tobias Hagge, Alexandre M. Tartakovsky, Enoch Yeung
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks. J. Comput. Phys. 397 (2019)
W. Brent Daniel, Enoch Yeung
A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings. CoRR (2019)
Enoch Yeung, Soumya Kundu, Nathan O. Hodas
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems. ACC (2019)
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
Data-Driven Operator Theoretic Methods for Global Phase Space Learning. CoRR (2019)
Aqib Hasnain, Nibodh Boddupalli, Enoch Yeung
Optimal reporter placement in sparsely measured genetic networks using the Koopman operator. CoRR (2019)
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, Uma Saxena, Joshua Urrutia, Niall Gaffney
A data-driven method for quantifying the impact of a genetic circuit on its host. BioCAS (2019)
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, Takahiro Inoue
Design and Simulation of Patient-Specific Tissue-Engineered Bifurcated Right Ventricle-Pulmonary Artery Grafts using Computational Fluid Dynamics. BIBE (2019)
Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
Online Learning of Dynamical Systems: An Operator Theoretic Approach. CoRR (2019)
Nibodh Boddupalli, Aqib Hasnain, Enoch Yeung
Persistence of Excitation for Koopman Operator Represented Dynamical Systems. CoRR (2019)
Nibodh Boddupalli, Aqib Hasnain, Sai Pushpak Nandanoori, Enoch Yeung
Koopman Operators for Generalized Persistence of Excitation Conditions for Nonlinear Systems. CDC (2019)
Zhiyuan Liu, Guohui Ding, Lijun Chen, Enoch Yeung
Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm. CoRR (2019)
Aqib Hasnain, Nibodh Boddupalli, Enoch Yeung
Optimal reporter placement in sparsely measured genetic networks using the Koopman operator. CDC (2019)
Enoch Yeung, Zhiyuan Liu, Nathan O. Hodas
A Koopman Operator Approach for Computing and Balancing Gramians for Discrete Time Nonlinear Systems. ACC (2018)
Abdullah Al Maruf, Soumya Kundu, Enoch Yeung, Marian Anghel
Decomposition of Nonlinear Dynamical Networks Via Comparison Systems. ECC (2018)
Panos Stinis, Tobias Hagge, Alexandre M. Tartakovsky, Enoch Yeung
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks. CoRR (2018)
Pengcheng You, John Z. F. Pang, Enoch Yeung
Stabilization of Power Networks via Market Dynamics. e-Energy (2018)
Charles A. Johnson, Enoch Yeung
A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators. ACC (2018)
Zhiyuan Liu, Soumya Kundu, Lijun Chen, Enoch Yeung
Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians. ACC (2018)
Enoch Yeung, David R. Judi, W. Brent Daniel
Contingency analysis of water distribution networks using quadratic sensitivity functions. ACC (2017)
Tobias Hagge, Panos Stinis, Enoch Yeung, Alexandre M. Tartakovsky
Solving differential equations with unknown constitutive relations as recurrent neural networks. CoRR (2017)
Ye Yuan, Anurag Rai, Enoch Yeung, Guy-Bart Stan, Sean Warnick, Jorge M. Gonçalves
A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems. IEEE Trans. Control. Netw. Syst. 4 (2) (2017)
Charles A. Johnson, Enoch Yeung
A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators. CoRR (2017)
Enoch Yeung, Zhiyuan Liu, Nathan O. Hodas
A Koopman Operator Approach for Computing and Balancing Gramians for Discrete Time Nonlinear Systems. CoRR (2017)
Enoch Yeung, Soumya Kundu, Nathan O. Hodas
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems. CoRR (2017)
Zhiyuan Liu, Soumya Kundu, Lijun Chen, Enoch Yeung
Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians. CoRR (2017)
Enoch Yeung, Jongmin Kim, Jorge M. Gonçalves, Richard M. Murray
Global network identification from reconstructed dynamical structure subnetworks: Applications to biochemical reaction networks. CDC (2015)
Enoch Yeung, Andrew Ng, Jongmin Kim, Zachary Z. Sun, Richard M. Murray
Modeling the effects of compositional context on promoter activity in an E. coli extract based transcription-translation system. CDC (2014)
Enoch Yeung, James L. Beck, Richard M. Murray
Modeling environmental disturbances with the chemical master equation. CDC (2013)
Mengran Xue, Enoch Yeung, Anurag Rai, Sandip Roy, Yan Wan, Sean Warnick
Initial-Condition Estimation in Network Synchronization Processes: Algebraic and Graphical Characterizations of the Estimator. Complex Syst. 21 (4) (2013)
Enoch Yeung, Jongmin Kim, Richard M. Murray
Resource competition as a source of non-minimum phase behavior in transcription-translation systems. CDC (2013)
Enoch Yeung, Jongmin Kim, Ye Yuan, Jorge M. Gonçalves, Richard M. Murray
Quantifying crosstalk in biochemical systems. CDC (2012)
J. Adebayo, T. Southwick, Vasu Chetty, Enoch Yeung, Ye Yuan, Jorge M. Goncalves, Julianne H. Grose, J. Prince, Guy-Bart Stan, Sean Warnick
Dynamical structure function identifiability conditions enabling signal structure reconstruction. CDC (2012)
Enoch Yeung, Jorge M. Goncalves, Henrik Sandberg, Sean Warnick
The Meaning of Structure in Interconnected Dynamic Systems CoRR (2011)
Enoch Yeung, Jorge M. Gonçalves, Henrik Sandberg, Sean Warnick
Mathematical relationships between representations of structure in linear interconnected dynamical systems. ACC (2011)
Enoch Yeung, Jorge M. Goncalves, Henrik Sandberg, Sean Warnick
Representing structure in linear interconnected dynamical systems. CDC (2010)
Enoch Yeung, Jorge M. Goncalves, Henrik Sandberg, Sean Warnick
Network structure preserving model reduction with weak a priori structural information. CDC (2009)