Zhenwen Dai - Google Scholar Citations

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	All	Since 2015
Citations	514	471
h-index	12	11
i10-index	18	14

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Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
Andreas DamianouAmazon.comVerified email at amazon.com
Javier GonzálezSenior Machine Learning ScientistVerified email at amazon.com
Jorg LuckeProfessor of Machine Learning, University of Oldenburg, Germany.Verified email at uni-oldenburg.de
Kwan-Yee Kenneth WongAssociate Professor of Computer Science, The University of Hong KongVerified email at cs.hku.hk
Guilherme A. BarretoDepartment of Teleinformatics Engineering, Federal University of CearáVerified email at ufc.br
César Lincoln Cavalcante MattosFederal University of Ceará (UFC)Verified email at dc.ufc.br
Philipp HennigUniversity of Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
James HensmanPROWLER.ioVerified email at prowler.io
Georgios ExarchakisInstitut de la VisionVerified email at ens.fr
Miaomiao LiuAustralian National UniversityVerified email at anu.edu.au
Shell Xu HuEcole des Ponts ParisTechVerified email at imagine.enpc.fr
Jörg BornscheinDeepMindVerified email at google.com
Jacquelyn A SheltonPhD Technical University BerlinVerified email at tu-berlin.de
Dirk SchniedersThe University of Hong KongVerified email at cs.hku.hk
Mauricio A. ÁlvarezUniversity of SheffieldVerified email at sheffield.ac.uk
Jose A. Rodriguez-SerranoLead Data Scientist at BBVA Data & AnalyticsVerified email at bbvadata.com
Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinVerified email at amazon.de
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Jan GasthausGatsby Computational Neuroscience Unit, UCLVerified email at ucl.ac.uk

Zhenwen Dai

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machine learning computer vision


Title	Cited by	Year
Batch Bayesian Optimization via Local Penalization J González, Z Dai, P Hennig, ND Lawrence International Conference on Artificial Intelligence and Statistics, 2015	112	2015
Variational Auto-encoded Deep Gaussian Processes Z Dai, A Damianou, J González, N Lawrence International Conference on Learning Representations (ICLR), 2015	85	2015
Recurrent Gaussian Processes CLC Mattos, Z Dai, A Damianou, J Forth, GA Barreto, ND Lawrence International Conference on Learning Representations (ICLR), 2015	43	2015
Gaussian process models with parallelization and GPU acceleration Z Dai, A Damianou, J Hensman, N Lawrence arXiv preprint arXiv:1410.4984, 2014	26	2014
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes Z Dai, MA Álvarez, ND Lawrence Advances in Neural Information Processing Systems, 2017	16	2017
GPy: A Gaussian process framework in python GPy https://github.com/SheffieldML/GPy, 2012	16*	2012
Polygonal light source estimation D Schnieders, KYK Wong, Z Dai Asian conference on computer vision, 96-107, 2009	16	2009
Autonomous Document Cleaning—A Generative Approach to Reconstruct Strongly Corrupted Scanned Texts Z Dai, J Lucke IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (10), 1950 …, 2014	14	2014
Auto-differentiating linear algebra M Seeger, A Hetzel, Z Dai, E Meissner, ND Lawrence arXiv preprint arXiv:1710.08717, 2017	13	2017
Understanding research field evolving and trend with dynamic Bayesian networks J Wang, C Xu, G Li, Z Dai, G Luo Pacific-Asia Conference on Knowledge Discovery and Data Mining, 320-331, 2007	13	2007
Variational Information Distillation for Knowledge Transfer S Ahn, SX Hu, A Damianou, ND Lawrence, Z Dai IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019	12	2019
What are the invariant occlusive components of image patches? A probabilistic generative approach Z Dai, G Exarchakis, J Lücke Advances in neural information processing systems, 243-251, 2013	12	2013
GP-select: Accelerating EM using adaptive subspace preselection JA Shelton, J Gasthaus, Z Dai, J Lücke, A Gretton Neural computation 29 (8), 2177-2202, 2017	11	2017
Preferential Bayesian Optimization J Gonzalez, Z Dai, A Damianou, ND Lawrence International Conference on Machine Learning, 2017	11	2017
GPyOpt: a Bayesian optimization framework in Python J González	11	2016
Unsupervised learning of translation invariant occlusive components Z Dai, J Lücke 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2400-2407, 2012	11	2012
Pose estimation from reflections for specular surface recovery M Liu, KYK Wong, Z Dai, Z Chen 2011 International Conference on Computer Vision, 579-586, 2011	10	2011
Specular surface recovery from reflections of a planar pattern undergoing an unknown pure translation M Liu, KYK Wong, Z Dai, Z Chen Asian Conference on Computer Vision, 137-147, 2010	10	2010
Deep recurrent Gaussian processes for outlier-robust system identification CLC Mattos, Z Dai, A Damianou, GA Barreto, ND Lawrence Journal of Process Control 60, 82-94, 2017	9	2017
Structured Variationally Auto-encoded Optimization X Lu, J Gonzalez, Z Dai, N Lawrence International Conference on Machine Learning, 3273-3281, 2018	8	2018

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