Enoch Yeung - RankMe

61 papers C 13Journal 34Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	An SVD-like Decomposition of Functions with Finite 2-induced Norm. ACC Brian Charles Brown, Michael King, Sean Warnick, Enoch Yeung, David Grimsman
2025	J	`jnl`	Controlling Peak Sharpness in Multimodal Biomolecular Systems via the Chemical Fokker-Planck Equation. CoRR Taishi Kotsuka, Enoch Yeung
2025	J	`jnl`	Heterogeneous Mixtures of Dictionary Functions to Approximate Subspace Invariance in Koopman Operators: Why Deep Koopman Operators Works. J. Nonlinear Sci. Charles A. Johnson, Shara Balakrishnan, Enoch Yeung
2025	J	`jnl`	Model Reduction of Multicellular Communication Systems via Singular Perturbation: Sender Receiver Systems. CoRR Taishi Kotsuka, Enoch Yeung
2025	J	`jnl`	On the Stability, Economic Efficiency, and Incentive Compatibility of Electricity Market Dynamics. IEEE Trans. Autom. Control. Pengcheng You, Yan Jiang, Enoch Yeung, Dennice F. Gayme, Enrique Mallada
2024	J	`jnl`	An SVD-like Decomposition of Bounded-Input Bounded-Output Functions. CoRR Brian Charles Brown, Michael King, Sean Warnick, Enoch Yeung, David Grimsman
2024	J	`jnl`	Modeling Control of Supercoiling Dynamics and Transcription Using DNA-Binding Proteins. IEEE Control. Syst. Lett. Harris Clark, Aleczander Taylor, Enoch Yeung
2022	J	`jnl`	Data-Driven Observability Decomposition with Koopman Operators for Optimization of Output Functions of Nonlinear Systems. CoRR Shara Balakrishnan, Aqib Hasnain, Robert G. Egbert, Enoch Yeung
2022	J	`jnl`	Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis. J. Nonlinear Sci. Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
2022	J	`jnl`	Heterogeneous mixtures of dictionary functions to approximate subspace invariance in Koopman operators. CoRR Charles A. Johnson, Shara Balakrishnan, Enoch Yeung
2022	J	`jnl`	Learning Invariant Subspaces of Koopman Operators-Part 1: A Methodology for Demonstrating a Dictionary's Approximate Subspace Invariance. CoRR Charles A. Johnson, Shara Balakrishnan, Enoch Yeung
2022	J	`jnl`	Learning Invariant Subspaces of Koopman Operators-Part 2: Heterogeneous Dictionary Mixing to Approximate Subspace Invariance. CoRR Charles A. Johnson, Shara Balakrishnan, Enoch Yeung
2022	J	`jnl`	Prediction of whole-cell transcriptional response with machine learning. Bioinform. 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 M. Fonner, Joe Stubbs, Christopher A. Voigt, Enoch Yeung
2021	J	`jnl`	Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis. CoRR Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
2021	J	`jnl`	The Effect of Sensor Fusion on Data-Driven Learning of Koopman Operators. CoRR Shara Balakrishnan, Aqib Hasnain, Robert G. Egbert, Enoch Yeung
2020	—	`conf`	Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. SmartGridComm Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
2020	J	`jnl`	Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. CoRR Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
2020	J	`jnl`	Data Driven Online Learning of Power System Dynamics. CoRR Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
2020	C	`conf`	Data-Driven Operator Theoretic Methods for Global Phase Space Learning. ACC Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
2020	C	`conf`	Prediction of fitness in bacteria with causal jump dynamic mode decomposition. ACC Shara Balakrishnan, Aqib Hasnain, Nibodh Boddupalli, Dennis M. Joshy, Robert G. Egbert, Enoch Yeung
2020	J	`jnl`	Prediction of fitness in bacteria with causal jump dynamic mode decomposition. CoRR Shara Balakrishnan, Aqib Hasnain, Nibodh Boddupalli, Dennis M. Joshy, Robert G. Egbert, Enoch Yeung
2020	C	`conf`	Steady state programming of controlled nonlinear systems via deep dynamic mode decomposition. ACC Aqib Hasnain, Nibodh Boddupalli, Shara Balakrishnan, Enoch Yeung
2020	C	`conf`	Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm. ACC Zhiyuan Liu, Guohui Ding, Lijun Chen, Enoch Yeung
2019	J	`jnl`	A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings. CoRR W. Brent Daniel, Enoch Yeung
2019	—	`conf`	A data-driven method for quantifying the impact of a genetic circuit on its host. BioCAS 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
2019	J	`jnl`	Data-Driven Operator Theoretic Methods for Global Phase Space Learning. CoRR Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
2019	C	`conf`	Design and Simulation of Patient-Specific Tissue-Engineered Bifurcated Right Ventricle-Pulmonary Artery Grafts using Computational Fluid Dynamics. BIBE 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
2019	J	`jnl`	Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks. J. Comput. Phys. Panos Stinis, Tobias Hagge, Alexandre M. Tartakovsky, Enoch Yeung
2019	J	`jnl`	Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics. CoRR Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
2019	—	`conf`	Koopman Operators for Generalized Persistence of Excitation Conditions for Nonlinear Systems. CDC Nibodh Boddupalli, Aqib Hasnain, Sai Pushpak Nandanoori, Enoch Yeung
2019	C	`conf`	Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems. ACC Enoch Yeung, Soumya Kundu, Nathan O. Hodas
2019	C	`conf`	On Computation of Koopman Operator from Sparse Data. ACC Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
2019	J	`jnl`	Online Learning of Dynamical Systems: An Operator Theoretic Approach. CoRR Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
2019	—	`conf`	Optimal reporter placement in sparsely measured genetic networks using the Koopman operator. CDC Aqib Hasnain, Nibodh Boddupalli, Enoch Yeung
2019	J	`jnl`	Optimal reporter placement in sparsely measured genetic networks using the Koopman operator. CoRR Aqib Hasnain, Nibodh Boddupalli, Enoch Yeung
2019	J	`jnl`	Persistence of Excitation for Koopman Operator Represented Dynamical Systems. CoRR Nibodh Boddupalli, Aqib Hasnain, Enoch Yeung
2019	J	`jnl`	Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm. CoRR Zhiyuan Liu, Guohui Ding, Lijun Chen, Enoch Yeung
2018	C	`conf`	A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators. ACC Charles A. Johnson, Enoch Yeung
2018	C	`conf`	A Koopman Operator Approach for Computing and Balancing Gramians for Discrete Time Nonlinear Systems. ACC Enoch Yeung, Zhiyuan Liu, Nathan O. Hodas
2018	—	`conf`	Decomposition of Nonlinear Dynamical Networks Via Comparison Systems. ECC Abdullah Al Maruf, Soumya Kundu, Enoch Yeung, Marian Anghel
2018	C	`conf`	Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians. ACC Zhiyuan Liu, Soumya Kundu, Lijun Chen, Enoch Yeung
2018	J	`jnl`	Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks. CoRR Panos Stinis, Tobias Hagge, Alexandre M. Tartakovsky, Enoch Yeung
2018	—	`conf`	Stabilization of Power Networks via Market Dynamics. e-Energy Pengcheng You, John Z. F. Pang, Enoch Yeung
2017	J	`jnl`	A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators. CoRR Charles A. Johnson, Enoch Yeung
2017	J	`jnl`	A Koopman Operator Approach for Computing and Balancing Gramians for Discrete Time Nonlinear Systems. CoRR Enoch Yeung, Zhiyuan Liu, Nathan O. Hodas
2017	J	`jnl`	A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems. IEEE Trans. Control. Netw. Syst. Ye Yuan, Anurag Rai, Enoch Yeung, Guy-Bart Stan, Sean Warnick, Jorge M. Gonçalves
2017	C	`conf`	Contingency analysis of water distribution networks using quadratic sensitivity functions. ACC Enoch Yeung, David R. Judi, W. Brent Daniel
2017	J	`jnl`	Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians. CoRR Zhiyuan Liu, Soumya Kundu, Lijun Chen, Enoch Yeung
2017	J	`jnl`	Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems. CoRR Enoch Yeung, Soumya Kundu, Nathan O. Hodas
2017	J	`jnl`	Solving differential equations with unknown constitutive relations as recurrent neural networks. CoRR Tobias Hagge, Panos Stinis, Enoch Yeung, Alexandre M. Tartakovsky
2015	—	`conf`	Global network identification from reconstructed dynamical structure subnetworks: Applications to biochemical reaction networks. CDC Enoch Yeung, Jongmin Kim, Jorge M. Gonçalves, Richard M. Murray
2014	—	`conf`	Modeling the effects of compositional context on promoter activity in an E. coli extract based transcription-translation system. CDC Enoch Yeung, Andrew Ng, Jongmin Kim, Zachary Z. Sun, Richard M. Murray
2013	J	`jnl`	Initial-Condition Estimation in Network Synchronization Processes: Algebraic and Graphical Characterizations of the Estimator. Complex Syst. Mengran Xue, Enoch Yeung, Anurag Rai, Sandip Roy, Yan Wan, Sean Warnick
2013	—	`conf`	Modeling environmental disturbances with the chemical master equation. CDC Enoch Yeung, James L. Beck, Richard M. Murray
2013	—	`conf`	Resource competition as a source of non-minimum phase behavior in transcription-translation systems. CDC Enoch Yeung, Jongmin Kim, Richard M. Murray
2012	—	`conf`	Dynamical structure function identifiability conditions enabling signal structure reconstruction. CDC J. Adebayo, T. Southwick, Vasu Chetty, Enoch Yeung, Ye Yuan, Jorge M. Gonçalves, Julianne H. Grose, J. Prince, Guy-Bart Stan, Sean Warnick
2012	—	`conf`	Quantifying crosstalk in biochemical systems. CDC Enoch Yeung, Jongmin Kim, Ye Yuan, Jorge M. Gonçalves, Richard M. Murray
2011	C	`conf`	Mathematical relationships between representations of structure in linear interconnected dynamical systems. ACC Enoch Yeung, Jorge M. Gonçalves, Henrik Sandberg, Sean Warnick
2011	J	`jnl`	The Meaning of Structure in Interconnected Dynamic Systems CoRR Enoch Yeung, Jorge M. Gonçalves, Henrik Sandberg, Sean Warnick
2010	—	`conf`	Representing structure in linear interconnected dynamical systems. CDC Enoch Yeung, Jorge M. Gonçalves, Henrik Sandberg, Sean Warnick
2009	—	`conf`	Network structure preserving model reduction with weak a priori structural information. CDC Enoch Yeung, Jorge M. Gonçalves, Henrik Sandberg, Sean Warnick