default search action
Xiaowen Dong 0001
Person information
- affiliation: University of Oxford, UK
- affiliation (former): IBM Research, Dublin, Ireland
- affiliation (PhD 2014): Swiss Federal Institute of Technology, Lausanne, Switzerland
Other persons with the same name
- Xiaowen Dong 0002
(aka: Xiao-Wen Dong 0002) — University of Science and Technology of China, School of Mathematical Sciences, Hefei, China
- Xiaowen Dong 0003 — Huawei Technologies, Shenzhen, China (and 1 more)
- Xiaowen Dong 0004 — University of Cambridge, UK
- Xiaowen Dong 0005 — Beijing University of Posts and Telecommunications, School of Electrical and Electronic Engineering, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j21]Yan Leng
Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions. Inf. Syst. Res. 35(1): 318-338 (2024) - [j20]Déborah Sulem
Graph similarity learning for change-point detection in dynamic networks. Mach. Learn. 113(1): 1-44 (2024) - [c33]Isabelle Lorge, Li Zhang, Xiaowen Dong, Janet B. Pierrehumbert:
STEntConv: Predicting Disagreement between Reddit Users with Stance Detection and a Signed Graph Convolutional Network. LREC/COLING 2024: 15273-15284 - [c32]Dragos Gorduza, Yaxuan Kong, Xiaowen Dong, Stefan Zohren:
Extracting Alpha from Financial Analyst Networks. ICAIF 2024: 397-405 - [c31]Zexi Liu, Bohan Tang, Ziyuan Ye, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Hypergraph Transformer for Semi-Supervised Classification. ICASSP 2024: 7515-7519 - [c30]Bohan Tang, Siheng Chen, Xiaowen Dong:
Hypergraph-Mlp: Learning on Hypergraphs Without Message Passing. ICASSP 2024: 13476-13480 - [c29]Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin:
A Characterization Theorem for Equivariant Networks with Point-wise Activations. ICLR 2024 - [i62]Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin:
A Characterization Theorem for Equivariant Networks with Point-wise Activations. CoRR abs/2401.09235 (2024) - [i61]Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong:
Hypergraph Node Classification With Graph Neural Networks. CoRR abs/2402.05569 (2024) - [i60]Shuo Tang, Rui Ye, Chenxin Xu, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning. CoRR abs/2403.06535 (2024) - [i59]Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea:
Rough Transformers for Continuous and Efficient Time-Series Modelling. CoRR abs/2403.10288 (2024) - [i58]Isabelle Lorge, Li Zhang, Xiaowen Dong, Janet B. Pierrehumbert:
STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network. CoRR abs/2403.15885 (2024) - [i57]Mihai Cucuringu, Xiaowen Dong, Ning Zhang:
Maximum Likelihood Estimation on Stochastic Blockmodels for Directed Graph Clustering. CoRR abs/2403.19516 (2024) - [i56]Huidong Liang, Xingchen Wan, Xiaowen Dong:
Bayesian Optimization of Functions over Node Subsets in Graphs. CoRR abs/2405.15119 (2024) - [i55]Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael M. Bronstein:
Bundle Neural Networks for message diffusion on graphs. CoRR abs/2405.15540 (2024) - [i54]Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea:
Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures. CoRR abs/2405.20799 (2024) - [i53]Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin:
Separation Power of Equivariant Neural Networks. CoRR abs/2406.08966 (2024) - [i52]Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M. Mulvey, H. Vincent Poor, Qingsong Wen
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges. CoRR abs/2406.11903 (2024) - [i51]Baskaran Sripathmanathan, Xiaowen Dong, Michael M. Bronstein:
On the Impact of Sample Size in Reconstructing Noisy Graph Signals: A Theoretical Characterisation. CoRR abs/2406.16816 (2024) - [i50]Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, Marc T. Law, Xiaowen Dong, Michael M. Bronstein:
Neural Spacetimes for DAG Representation Learning. CoRR abs/2408.13885 (2024) - 2023
- [j19]Lucas G. S. Jeub
Local2Global: a distributed approach for scaling representation learning on graphs. Mach. Learn. 112(5): 1663-1692 (2023) - [j18]Yin-Cong Zhi
Gaussian Processes on Graphs Via Spectral Kernel Learning. IEEE Trans. Signal Inf. Process. over Networks 9: 304-314 (2023) - [c28]Bohan Tang, Siheng Chen, Xiaowen Dong:
Learning Hypergraphs From Signals With Dual Smoothness Prior. ICASSP 2023: 1-5 - [c27]Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein, Francesco Di Giovanni:
DRew: Dynamically Rewired Message Passing with Delay. ICML 2023: 12252-12267 - [c26]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong:
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. NeurIPS 2023 - [c25]Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A. Osborne, Xiaowen Dong:
Bayesian Optimisation of Functions on Graphs. NeurIPS 2023 - [c24]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Graph classification Gaussian processes via spectral features. UAI 2023: 1575-1585 - [c23]Pierre Osselin, Henry Kenlay, Xiaowen Dong:
Structure-aware robustness certificates for graph classification. UAI 2023: 1596-1605 - [i49]Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein, Francesco Di Giovanni:
DRew: Dynamically Rewired Message Passing with Delay. CoRR abs/2305.08018 (2023) - [i48]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Graph Classification Gaussian Processes via Spectral Features. CoRR abs/2306.03770 (2023) - [i47]Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A. Osborne, Xiaowen Dong:
Bayesian Optimisation of Functions on Graphs. CoRR abs/2306.05304 (2023) - [i46]Pierre Osselin, Henry Kenlay, Xiaowen Dong:
Structure-Aware Robustness Certificates for Graph Classification. CoRR abs/2306.11915 (2023) - [i45]Baskaran Sripathmanathan, Xiaowen Dong, Michael M. Bronstein:
On the Impact of Sample Size in Reconstructing Graph Signals. CoRR abs/2307.00336 (2023) - [i44]Chao Zhang, Xingyue Pu, Mihai Cucuringu, Xiaowen Dong:
Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects. CoRR abs/2308.01419 (2023) - [i43]Xingyue Pu, Stephen J. Roberts, Xiaowen Dong, Stefan Zohren:
Network Momentum across Asset Classes. CoRR abs/2308.11294 (2023) - [i42]Xingyue Pu, Stefan Zohren, Stephen J. Roberts, Xiaowen Dong:
Learning to Learn Financial Networks for Optimising Momentum Strategies. CoRR abs/2308.12212 (2023) - [i41]Bohan Tang, Siheng Chen, Xiaowen Dong:
Hypergraph Structure Inference From Data Under Smoothness Prior. CoRR abs/2308.14172 (2023) - [i40]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong:
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. CoRR abs/2309.04810 (2023) - [i39]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong:
Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces. CoRR abs/2309.05678 (2023) - [i38]Bohan Tang, Siheng Chen, Xiaowen Dong:
Hypergraph-MLP: Learning on Hypergraphs without Message Passing. CoRR abs/2312.09778 (2023) - [i37]Zexi Liu, Bohan Tang, Ziyuan Ye, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Hypergraph Transformer for Semi-Supervised Classification. CoRR abs/2312.11385 (2023) - 2022
- [j17]Diego Granziol
Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications. Algorithms 15(6): 209 (2022) - [c22]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets. AISTATS 2022: 4818-4834 - [c21]Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein:
Understanding over-squashing and bottlenecks on graphs via curvature. ICLR 2022 - [c20]Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong:
Learning to Infer Structures of Network Games. ICML 2022: 18809-18827 - [c19]Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein:
On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features. LoG 2022: 11 - [c18]Valentin Hofmann, Xiaowen Dong, Janet B. Pierrehumbert, Hinrich Schütze:
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. NAACL-HLT (Findings) 2022: 536-550 - [i36]Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu:
Local2Global: A distributed approach for scaling representation learning on graphs. CoRR abs/2201.04729 (2022) - [i35]Déborah Sulem, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong:
Graph similarity learning for change-point detection in dynamic networks. CoRR abs/2203.15470 (2022) - [i34]Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong:
Learning to Infer Structures of Network Games. CoRR abs/2206.08119 (2022) - [i33]Enpei Zhang, Shuo Tang, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Unrolled Graph Learning for Multi-Agent Collaboration. CoRR abs/2210.17101 (2022) - [i32]Bohan Tang, Siheng Chen, Xiaowen Dong:
Learning Hypergraphs From Signals With Dual Smoothness Prior. CoRR abs/2211.01717 (2022) - [i31]Yin-Cong Zhi, Felix L. Opolka, Yin Cheng Ng, Pietro Liò, Xiaowen Dong:
Transductive Kernels for Gaussian Processes on Graphs. CoRR abs/2211.15322 (2022) - [i30]Dragos Gorduza, Xiaowen Dong, Stefan Zohren:
Understanding stock market instability via graph auto-encoders. CoRR abs/2212.04974 (2022) - 2021
- [j16]Mahmoud Ramezani Mayiami, Mohammad Hajimirsadeghi, Karl Skretting, Xiaowen Dong, Rick S. Blum, H. Vincent Poor
Bayesian Topology Learning and noise removal from network data. Discov. Internet Things 1(1) (2021) - [j15]Mahmoud Ramezani-Mayiami, Mohammad Hajimirsadeghi, Karl Skretting, Xiaowen Dong, Rick S. Blum, H. Vincent Poor:
Correction to: Bayesian Topology Learning and noise removal from network data. Discov. Internet Things 1(1) (2021) - [j14]Xingyue Pu
Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint. IEEE Trans. Signal Inf. Process. over Networks 7: 192-207 (2021) - [c17]Henry Kenlay, Dorina Thanou, Xiaowen Dong:
On The Stability of Graph Convolutional Neural Networks Under Edge Rewiring. ICASSP 2021: 8513-8517 - [c16]Bin Xin Ru, Xingchen Wan, Xiaowen Dong, Michael A. Osborne:
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels. ICLR 2021 - [c15]Henry Kenlay, Dorina Thanou, Xiaowen Dong:
Interpretable Stability Bounds for Spectral Graph Filters. ICML 2021: 5388-5397 - [c14]Ben Chamberlain, James Rowbottom, Davide Eynard, Francesco Di Giovanni, Xiaowen Dong, Michael M. Bronstein:
Beltrami Flow and Neural Diffusion on Graphs. NeurIPS 2021: 1594-1609 - [c13]Xingyue Pu, Tianyue Cao, Xiaoyun Zhang, Xiaowen Dong, Siheng Chen:
Learning to Learn Graph Topologies. NeurIPS 2021: 4249-4262 - [c12]Xingchen Wan, Henry Kenlay, Robin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong:
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation. NeurIPS 2021: 6983-6996 - [i29]Henry Kenlay, Dorina Thanou, Xiaowen Dong:
Interpretable Stability Bounds for Spectral Graph Filters. CoRR abs/2102.09587 (2021) - [i28]Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu:
Local2Global: Scaling global representation learning on graphs via local training. CoRR abs/2107.12224 (2021) - [i27]Benjamin Paul Chamberlain, James Rowbottom, Davide Eynard, Francesco Di Giovanni, Xiaowen Dong, Michael M. Bronstein:
Beltrami Flow and Neural Diffusion on Graphs. CoRR abs/2110.09443 (2021) - [i26]Xingyue Pu, Tianyue Cao, Xiaoyun Zhang, Xiaowen Dong, Siheng Chen:
Learning to Learn Graph Topologies. CoRR abs/2110.09807 (2021) - [i25]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets. CoRR abs/2110.12752 (2021) - [i24]Xingchen Wan
Adversarial Attacks on Graph Classification via Bayesian Optimisation. CoRR abs/2111.02842 (2021) - [i23]Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein:
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features. CoRR abs/2111.12128 (2021) - [i22]Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein:
Understanding over-squashing and bottlenecks on graphs via curvature. CoRR abs/2111.14522 (2021) - 2020
- [j13]Xiaowen Dong
Segregated interactions in urban and online space. EPJ Data Sci. 9(1): 20 (2020) - [j12]Xiaowen Dong
Graph Signal Processing for Machine Learning: A Review and New Perspectives. IEEE Signal Process. Mag. 37(6): 117-127 (2020) - [c11]Kaige Yang, Laura Toni, Xiaowen Dong:
Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis. AISTATS 2020: 3133-3143 - [c10]Oliver Gardiner, Xiaowen Dong:
Mobility Networks for Predicting Gentrification. COMPLEX NETWORKS (2) 2020: 181-192 - [c9]Henry Kenlay, Dorina Thanou, Xiaowen Dong:
On The Stability of Polynomial Spectral Graph Filters. ICASSP 2020: 5350-5354 - [c8]Yan Leng, Xiaowen Dong, Junfeng Wu, Alex Pentland:
Learning Quadratic Games on Networks. ICML 2020: 5820-5830 - [i21]Yin-Cong Zhi, Yin Cheng Ng, Xiaowen Dong:
Gaussian Processes on Graphs via Spectral Kernel Learning. CoRR abs/2006.07361 (2020) - [i20]Bin Xin Ru, Xingchen Wan
Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel. CoRR abs/2006.07556 (2020) - [i19]Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard:
Graph signal processing for machine learning: A review and new perspectives. CoRR abs/2007.16061 (2020) - [i18]Xingyue Pu, Siu Lun Chau, Xiaowen Dong, Dino Sejdinovic:
Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint. CoRR abs/2008.10065 (2020) - [i17]Henry Kenlay, Dorina Thanou, Xiaowen Dong:
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring. CoRR abs/2010.13747 (2020) - [i16]Xingchen Wan, Jie Yang, Slavi Marinov, Jan-Peter Calliess, Stefan Zohren, Xiaowen Dong:
Sentiment Diffusion in Financial News Networks and Associated Market Movements. CoRR abs/2011.06430 (2020)
2010 – 2019
- 2019
- [j11]Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. Entropy 21(6): 551 (2019) - [j10]Xiaowen Dong
Learning Graphs From Data: A Signal Representation Perspective. IEEE Signal Process. Mag. 36(3): 44-63 (2019) - [p1]Albert Ali Salah
Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey. Data for Refugees Challenge 2019: 3-27 - [i15]Kaige Yang, Xiaowen Dong, Laura Toni:
Error Analysis on Graph Laplacian Regularized Estimator. CoRR abs/1902.03720 (2019) - [i14]Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts:
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. CoRR abs/1906.01101 (2019) - [i13]Kaige Yang, Xiaowen Dong, Laura Toni:
Laplacian-regularized graph bandits: Algorithms and theoretical analysis. CoRR abs/1907.05632 (2019) - [i12]Xiaowen Dong, Alfredo Jose Morales, Eaman Jahani, Esteban Moro, Bruno Lepri, Burçin Bozkaya, Carlos Sarraute, Yaneer Bar-Yam, Alex Pentland:
Segregated interactions in urban and online spaces. CoRR abs/1911.04027 (2019) - [i11]Diego Granziol, Robin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts:
A Maximum Entropy approach to Massive Graph Spectra. CoRR abs/1912.09068 (2019) - 2018
- [j9]Xiaowen Dong
Methods for quantifying effects of social unrest using credit card transaction data. EPJ Data Sci. 7(1): 8 (2018) - [j8]Erdem Kaya
Behavioral attributes and financial churn prediction. EPJ Data Sci. 7(1): 41 (2018) - [j7]Xiaowen Dong
Social Bridges in Urban Purchase Behavior. ACM Trans. Intell. Syst. Technol. 9(3): 33:1-33:29 (2018) - [i10]Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts:
Entropic Spectral Learning in Large Scale Networks. CoRR abs/1804.06802 (2018) - [i9]Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard:
Learning Graphs from Data: A Signal Representation Perspective. CoRR abs/1806.00848 (2018) - [i8]Albert Ali Salah, Alex Pentland, Bruno Lepri, Emmanuel Letouzé, Patrick Vinck, Yves-Alexandre de Montjoye, Xiaowen Dong, Özge Dagdelen:
Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey. CoRR abs/1807.00523 (2018) - [i7]Yan Leng, Xiaowen Dong, Alex Pentland:
Learning Quadratic Games on Networks. CoRR abs/1811.08790 (2018) - 2017
- [j6]Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard:
Learning Heat Diffusion Graphs. IEEE Trans. Signal Inf. Process. over Networks 3(3): 484-499 (2017) - 2016
- [j5]Xiaowen Dong
Learning Laplacian Matrix in Smooth Graph Signal Representations. IEEE Trans. Signal Process. 64(23): 6160-6173 (2016) - [c7]Renata Khasanova, Xiaowen Dong, Pascal Frossard:
Multi-modal Image Retrieval with Random Walk on Multi-layer Graphs. ISM 2016: 1-6 - [i6]Renata Khasanova, Xiaowen Dong, Pascal Frossard:
Multi-modal image retrieval with random walk on multi-layer graphs. CoRR abs/1607.03406 (2016) - [i5]Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard:
Learning heat diffusion graphs. CoRR abs/1611.01456 (2016) - 2015
- [j4]Xiaowen Dong, Dimitrios Mavroeidis, Francesco Calabrese, Pascal Frossard:
Multiscale event detection in social media. Data Min. Knowl. Discov. 29(5): 1374-1405 (2015) - [c6]Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst:
Laplacian matrix learning for smooth graph signal representation. ICASSP 2015: 3736-3740 - 2014
- [j3]Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst
Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds. IEEE Trans. Signal Process. 62(4): 905-918 (2014) - [i4]Xiaowen Dong, Dimitrios Mavroeidis, Francesco Calabrese, Pascal Frossard:
Multiscale Event Detection in Social Media. CoRR abs/1404.7048 (2014) - [i3]Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst:
Learning Graphs from Signal Observations under Smoothness Prior. CoRR abs/1406.7842 (2014) - 2013
- [c5]Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst, Nikolai Nefedov:
Clustering on multi-layer graphs via subspace analysis on Grassmann manifolds. GlobalSIP 2013: 993-996 - [c4]Xiaowen Dong, Antonio Ortega, Pascal Frossard, Pierre Vandergheynst:
Inference of mobility patterns via Spectral Graph Wavelets. ICASSP 2013: 3118-3122 - [c3]Michele Berlingerio, Francesco Calabrese, Giusy Di Lorenzo, Xiaowen Dong, Yiannis Gkoufas, Dimitrios Mavroeidis:
SaferCity: A System for Detecting and Analyzing Incidents from Social Media. ICDM Workshops 2013: 1077-1080 - [i2]Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst, Nikolai Nefedov:
Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds. CoRR abs/1303.2221 (2013) - 2012
- [j2]Zhe Wang
Structural analysis of network traffic matrix via relaxed principal component pursuit. Comput. Networks 56(7): 2049-2067 (2012) - [j1]Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst
Clustering With Multi-Layer Graphs: A Spectral Perspective. IEEE Trans. Signal Process. 60(11): 5820-5831 (2012) - [c2]Xuan Zhang, Xiaowen Dong, Pascal Frossard:
Learning of structured graph dictionaries. ICASSP 2012: 3373-3376 - 2011
- [c1]Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst, Nikolai Nefedov:
A regularization framework for mobile social network analysis. ICASSP 2011: 2140-2143 - [i1]Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst, Nikolai Nefedov:
Clustering with Multi-Layer Graphs: A Spectral Perspective. CoRR abs/1106.2233 (2011)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-19 20:48 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: