Xiaowen Dong
Orcid: 0000-0002-1143-9786Affiliations:
- University of Oxford, UK
- IBM Research, Dublin, Ireland (former)
- Swiss Federal Institute of Technology, Lausanne, Switzerland (PhD 2014)
According to our database1,
Xiaowen Dong
authored at least 86 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on eng.ox.ac.uk
-
on d-nb.info
On csauthors.net:
Bibliography
2024
Mach. Learn., January, 2024
Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions.
Inf. Syst. Res., 2024
On the Impact of Sample Size in Reconstructing Noisy Graph Signals: A Theoretical Characterisation.
CoRR, 2024
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.
CoRR, 2024
Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures.
CoRR, 2024
Maximum Likelihood Estimation on Stochastic Blockmodels for Directed Graph Clustering.
CoRR, 2024
STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 5th ACM International Conference on AI in Finance, 2024
STEntConv: Predicting Disagreement between Reddit Users with Stance Detection and a Signed Graph Convolutional Network.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Mach. Learn., May, 2023
IEEE Trans. Signal Inf. Process. over Networks, 2023
CoRR, 2023
Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Algorithms, 2022
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features.
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE Trans. Signal Inf. Process. over Networks, 2021
Discov. Internet Things, 2021
Discov. Internet Things, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
IEEE Signal Process. Mag., 2020
CoRR, 2020
Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel.
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the Complex Networks & Their Applications IX, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
IEEE Signal Process. Mag., 2019
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning.
Entropy, 2019
Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey.
Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019
2018
EPJ Data Sci., 2018
CoRR, 2018
2017
2016
IEEE Trans. Signal Process., 2016
Proceedings of the IEEE International Symposium on Multimedia, 2016
2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
IEEE Trans. Signal Process., 2014
2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
IEEE Trans. Signal Process., 2012
Structural analysis of network traffic matrix via relaxed principal component pursuit.
Comput. Networks, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Proceedings of the IEEE International Conference on Acoustics, 2011