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Xiaowen Dong
Xiaowen Dong
University of Oxford, Massachusetts Institute of Technology
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
6102016
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
3772019
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 (ICLR), 2022
2282022
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
2222014
Clustering on multi-layer graphs via subspace analysis on Grassmann manifolds
X Dong, P Frossard, P Vandergheynst, N Nefedov
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 993-996, 2013
2222013
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
1762012
Learning heat diffusion graphs
D Thanou, X Dong, D Kressner, P Frossard
IEEE Transactions on Signal and Information Processing over Networks 3 (3 …, 2017
1682017
Multiscale event detection in social media
X Dong, D Mavroeidis, F Calabrese, P Frossard
Data Mining and Knowledge Discovery 29, 1374-1405, 2015
1572015
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
1132020
Mobility patterns are associated with experienced income segregation in large US cities
E Moro, D Calacci, X Dong, A Pentland
Nature communications 12 (1), 4633, 2021
1032021
Interpretable neural architecture search via Bayesian optimisation with Weisfeiler-Lehman kernels
B Ru, X Wan, X Dong, MA Osborne
International Conference on Learning Representations (ICLR), 2021
922021
Laplacian matrix learning for smooth graph signal representation
X Dong, D Thanou, P Frossard, P Vandergheynst
IEEE international conference on Acoustics, Speech and Signal Processing …, 2015
682015
Introduction to the Data for Refugees Challenge on mobility of Syrian refugees in Turkey
AA Salah, A Pentland, B Lepri, E Letouzé, YA de Montjoye, X Dong, ...
Guide to Mobile Data Analytics in Refugee Scenarios: The 'Data for Refugees …, 2019
57*2019
Learning of structured graph dictionaries
X Zhang, X Dong, P Frossard
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2012
542012
Beltrami flow and neural diffusion on graphs
BP Chamberlain, J Rowbottom, D Eynard, F Di Giovanni, X Dong, ...
Conference on Neural Information Processing Systems (NeurIPS), 2021
492021
On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features
E Rossi, H Kenlay, MI Gorinova, BP Chamberlain, X Dong, MM Bronstein
Learning on Graphs Conference (LoG), 11:1-11:16, 2022
482022
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
462012
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
442021
Behavioral attributes and financial churn prediction
E Kaya, X Dong, Y Suhara, S Balcisoy, B Bozkaya
EPJ Data Science 7 (1), 41, 2018
442018
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
422020
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