Xiaowen Dong

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Pascal FrossardEcole Polytechnique Fédérale de Lausanne, EPFLVerified email at epfl.ch
Dorina ThanouEPFLVerified email at epfl.ch
Pierre VandergheynstProfessor of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Alex `Sandy' PentlandProfessor MITVerified email at mit.edu
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
Bruno LepriFondazione Bruno KesslerVerified email at fbk.eu
Binxin RuDPhil Student, University of OxfordVerified email at robots.ox.ac.uk
Michael BronsteinDeepMind Professor of AI, University of Oxford / Head Graph ML Research, TwitterVerified email at cs.ox.ac.uk
Xingchen WanDPhil student, University of OxfordVerified email at robots.ox.ac.uk
Henry KenlayDPhil student, University of OxfordVerified email at robots.ox.ac.uk
Stefan ZohrenUniversity of OxfordVerified email at eng.ox.ac.uk
Dimitrios MavroeidisPhilips ResearchVerified email at philips.com
Yves-Alexandre de MontjoyeAssociate Professor at Imperial College LondonVerified email at mit.edu
Esteban MoroAssociate Professor, Department Mathematics, Universidad Carlos III de MadridVerified email at math.uc3m.es
Francesco CalabreseRichemontVerified email at richemont.com
Emmanuel LetouzéUniversitat Pompeu Fabra, Data-Pop Alliance, MIT, Harvard Humanitarian InitiativeVerified email at mit.edu
Albert Ali SalahProf. Social and Affective Computing, Utrecht University; Adjunct Prof., Bogazici UniversityVerified email at uu.nl
Yan LengMcCombs School of Business, The University of Texas at AustinVerified email at mccombs.utexas.edu
Michael RabbatResearch Scientist at FacebookVerified email at fb.com
Alfredo J. Morales-GuzmanMIT Media LabVerified email at mit.edu

Xiaowen Dong

University of Oxford, Massachusetts Institute of Technology

Verified email at robots.ox.ac.uk - Homepage

signal processing machine learning network science computational social science


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Learning Laplacian matrix in smooth graph signal representations X Dong, D Thanou, P Frossard, P Vandergheynst IEEE Transactions on Signal Processing 64 (23), 6160-6173, 2016	534*	2016
Learning graphs from data: A signal representation perspective X Dong, D Thanou, M Rabbat, P Frossard IEEE Signal Processing Magazine 36 (3), 44-63, 2019	276	2019
Clustering on multi-layer graphs via subspace analysis on Grassmann manifolds X Dong, P Frossard, P Vandergheynst, N Nefedov IEEE Transactions on Signal Processing 62 (4), 905-918, 2014	187	2014
Clustering with multi-layer graphs: A spectral perspective X Dong, P Frossard, P Vandergheynst, N Nefedov IEEE Transactions on Signal Processing 60 (11), 5820-5831, 2012	156	2012
Multiscale event detection in social media X Dong, D Mavroeidis, F Calabrese, P Frossard Data Mining and Knowledge Discovery 29 (5), 1374-1405, 2015	141	2015
Learning heat diffusion graphs D Thanou, X Dong, D Kressner, P Frossard IEEE Transactions on Signal and Information Processing over Networks 3 (3 …, 2017	131	2017
Data for Refugees: The D4R Challenge on mobility of Syrian refugees in Turkey AA Salah, A Pentland, B Lepri, E Letouzé, P Vinck, YA de Montjoye, ... arXiv preprint arXiv:1807.00523, 2018	73*	2018
Graph signal processing for machine learning: A review and new perspectives X Dong, D Thanou, L Toni, M Bronstein, P Frossard IEEE Signal Processing Magazine 37 (6), 117-127, 2020	52	2020
Interpretable neural architecture search via Bayesian optimisation with Weisfeiler-Lehman kernels B Ru, X Wan, X Dong, MA Osborne International Conference on Learning Representations, 2021	51*	2021
Learning of structured graph dictionaries X Zhang, X Dong, P Frossard IEEE International Conference on Acoustics, Speech and Signal Processing …, 2012	47	2012
Structural analysis of network traffic matrix via relaxed principal component pursuit Z Wang, K Hu, K Xu, B Yin, X Dong Computer Networks 56 (7), 2049-2067, 2012	46	2012
Understanding over-squashing and bottlenecks on graphs via curvature J Topping, F Di Giovanni, BP Chamberlain, X Dong, MM Bronstein International Conference on Learning Representations, 2022	40	2022
Mobility patterns are associated with experienced income segregation in large US cities E Moro, D Calacci, X Dong, A Pentland Nature communications 12 (1), 1-10, 2021	39	2021
Segregation and polarization in urban areas AJ Morales, X Dong, Y Bar-Yam, A Pentland Royal Society Open Science 6 (10), 190573, 2019	30	2019
Behavioral attributes and financial churn prediction E Kaya, X Dong, Y Suhara, S Balcisoy, B Bozkaya EPJ Data Science 7 (1), 41, 2018	30	2018
Segregated interactions in urban and online space X Dong, AJ Morales, E Jahani, E Moro, B Lepri, B Bozkaya, C Sarraute, ... EPJ Data Science 9 (1), 20, 2020	27	2020
Social bridges in urban purchase behavior X Dong, Y Suhara, B Bozkaya, VK Singh, B Lepri, A Pentland ACM Transactions on Intelligent Systems and Technology 9 (3), 33, 2018	27	2018
Inference of mobility patterns via spectral graph wavelets X Dong, A Ortega, P Frossard, P Vandergheynst IEEE International Conference on Acoustics, Speech and Signal Processing …, 2013	26	2013
SaferCity: A system for detecting and analyzing incidents from social media M Berlingerio, F Calabrese, G Di Lorenzo, X Dong, Y Gkoufas, ... IEEE International Conference on Data Mining Workshops, 1077-1080, 2013	25	2013
Sentiment correlation in financial news networks and associated market movements X Wan, J Yang, S Marinov, JP Calliess, S Zohren, X Dong Scientific Reports 11 (1), 1-12, 2021	20	2021

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