Enoch Yeung
Enoch Yeung
Assistant Professor, Department of Mechanical Engineering, University of California Santa Barbara
Verified email at - Homepage
Cited by
Cited by
Learning deep neural network representations for Koopman operators of nonlinear dynamical systems
E Yeung, S Kundu, N Hodas
2019 American Control Conference (ACC), 4832-4839, 2019
Linear DNA for Rapid Prototyping of Synthetic Biological Circuits in an Escherichia coli Based TX-TL Cell-Free System
ZZ Sun, E Yeung, CA Hayes, V Noireaux, RM Murray
ACS synthetic biology 3 (6), 387-397, 2014
Rapid cell-free forward engineering of novel genetic ring oscillators
H Niederholtmeyer, ZZ Sun, Y Hori, E Yeung, A Verpoorte, RM Murray, ...
elife 4, e09771, 2015
Biophysical constraints arising from compositional context in synthetic gene networks
E Yeung, AJ Dy, KB Martin, AH Ng, D Del Vecchio, JL Beck, JJ Collins, ...
Cell systems 5 (1), 11-24. e12, 2017
Synthetic Biology Tools for the Fast-Growing Marine Bacterium Vibrio natriegens
T Tschirhart, V Shukla, EE Kelly, Z Schultzhaus, E NewRingeisen, ...
ACS synthetic biology 8 (9), 2069-2079, 2019
Dynamical structure function identifiability conditions enabling signal structure reconstruction
J Adebayo, T Southwick, V Chetty, E Yeung, Y Yuan, J Goncalves, ...
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 4635-4641, 2012
Initial-condition estimation in network synchronization processes: algebraic and graphical characterizations of the estimator
M Xue, E Yeung, A Rai, S Roy, Y Wan, S Warnick
AIAA Guidance, Navigation, and Control Conference, 6398, 2011
A koopman operator approach for computing and balancing gramians for discrete time nonlinear systems
E Yeung, Z Liu, NO Hodas
2018 Annual American Control Conference (ACC), 337-344, 2018
Enforcing constraints for interpolation and extrapolation in generative adversarial networks
P Stinis, T Hagge, AM Tartakovsky, E Yeung
Journal of Computational Physics 397, 108844, 2019
A class of logistic functions for approximating state-inclusive koopman operators
CA Johnson, E Yeung
2018 Annual American Control Conference (ACC), 4803-4810, 2018
Representing structure in linear interconnected dynamical systems
E Yeung, J Gonçalves, H Sandberg, S Warnick
49th IEEE Conference on Decision and Control (CDC), 6010-6015, 2010
On computation of koopman operator from sparse data
S Sinha, U Vaidya, E Yeung
2019 American Control Conference (ACC), 5519-5524, 2019
Mathematical relationships between representations of structure in linear interconnected dynamical systems
E Yeung, J Gonçalves, H Sandberg, S Warnick
Proceedings of the 2011 American Control Conference, 4348-4353, 2011
Solving differential equations with unknown constitutive relations as recurrent neural networks
T Hagge, P Stinis, E Yeung, AM Tartakovsky
arXiv preprint arXiv:1710.02242, 2017
Koopman operator methods for global phase space exploration of equivariant dynamical systems
S Sinha, SP Nandanoori, E Yeung
IFAC-PapersOnLine 53 (2), 1150-1155, 2020
A data-driven method for quantifying the impact of a genetic circuit on its host
A Hasnain, S Sinha, Y Dorfan, AE Borujeni, Y Park, P Maschhoff, ...
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019
Data-driven operator theoretic methods for global phase space learning
SP Nandanoori, S Sinha, E Yeung
2020 American Control Conference (ACC), 4551-4557, 2020
Optimal reporter placement in sparsely measured genetic networks using the koopman operator
A Hasnain, N Boddupalli, E Yeung
2019 IEEE 58th Conference on Decision and Control (CDC), 19-24, 2019
Deep koopman controller synthesis for cyber-resilient market-based frequency regulation
P You, J Pang, E Yeung
IFAC-PapersOnLine 51 (28), 720-725, 2018
Decomposition of nonlinear dynamical systems using koopman gramians
Z Liu, S Kundu, L Chen, E Yeung
2018 Annual American Control Conference (ACC), 4811-4818, 2018
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