Enoch Yeung

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Jorge GoncalvesUniversity of LuxembourgVerified email at uni.lu
Sean WarnickProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Subhrajit SinhaPacific Northwest National LaboratoryVerified email at pnnl.gov
Aqib HasnainBerkeley LabVerified email at lbl.gov
Zachary SunSepia BiosciencesVerified email at sepiabio.com
Nathan HodasBungieVerified email at bungie.com
Soumya KunduPacific Northwest National Laboratory, University of Vermont, Washington State UniversityVerified email at pnnl.gov
Sai Pushpak NandanooriResilient Control Methods, Pacific Northwest National LaboratoryVerified email at pnnl.gov
Shara BalakrishnanPh. D. candidate, University of California Santa BarbaraVerified email at ucsb.edu
Jongmin KimAssociate Professor, Pohang University of Science and Technology (POSTECH)Verified email at dna.caltech.edu
Henrik SandbergProfessor of Decision and Control Systems, KTH Royal Institute of TechnologyVerified email at kth.se
Ye YuanHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Sebastian J. MaerklAssociate Professor, Institute of Bioengineering, EPFLVerified email at epfl.ch
Henrike NiederholtmeyerTechnical University of MunichVerified email at tum.de
Vincent NoireauxUniversity of MinnesotaVerified email at umn.edu
Nibodh BoddupalliPhD Candidate at University of California Santa BarbaraVerified email at ucsb.edu
Yutaka HoriKeio UniversityVerified email at appi.keio.ac.jp
Andrew Howen NgGenentechVerified email at gene.com
Aaron J DyVerified email at mit.edu
Kyle B. MartinCalifornia Institute of TechnologyVerified email at caltech.edu

Enoch Yeung

Associate Professor, Department of Mechanical Engineering, University of California Santa Barbara

Verified email at ucsb.edu - Homepage

Synthetic & Systems Biology Biological Control DNA Biophysics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	471	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	346	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	269	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	133	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	73	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	54	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	44	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	43	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	42	2019
On computation of koopman operator from sparse data S Sinha, U Vaidya, E Yeung 2019 American Control Conference (ACC), 5519-5524, 2019	36	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	36	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	36	2010
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	29	2011
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	28	2020
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	27	2017
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	24	2018
Data-driven operator theoretic methods for global phase space learning SP Nandanoori, S Sinha, E Yeung 2020 American Control Conference (ACC), 4551-4557, 2020	23	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	23	2019
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	22	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	22	2018

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