Xiao Wang

Orcid: 0000-0002-4444-7811

Affiliations:

Beijing University of Posts and Telecommunications, School of Computer Science, China
Tsinghua University, Department of Computer Science and Technology, Beijing, China (former)
Tianjin University, School of Computer Science and Technology, China (PhD 2016)

According to our database¹, Xiao Wang authored at least 89 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Debiased Graph Neural Networks With Agnostic Label Selection Bias.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Generalizing Graph Neural Networks on Out-of-Distribution Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

2023

Towards Adaptive Information Fusion in Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Temporal Heterogeneous Information Network Embedding via Semantic Evolution.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, August, 2023

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, April, 2023

Embedding text-rich graph neural networks with sequence and topical semantic structures.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., February, 2023

Advances in Graph Neural Networks

[BibT_eX]

[DOI]

Chuan Shi

Xiao Wang

Cheng Yang

Synthesis Lectures on Data Mining and Knowledge Discovery, Springer, ISBN: 978-3-031-16174-2, 2023

Heterogeneous Information Network Embedding With Adversarial Disentangler.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Heterogeneous Graph Propagation Network.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Provable Training for Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Spectral Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Minimum Topology Attacks for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network.

[BibT_eX]

[DOI]

Shuyun Gu

Xiao Wang

Chuan Shi

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Multi-Scale Subgraph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Directed Acyclic Graph Structure Learning from Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Heterogeneous Graph Representation Learning and Applications

[BibT_eX]

[DOI]

Chuan Shi

Xiao Wang

Philip S. Yu

Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-981-16-6165-5, 2022

Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Embedding Heterogeneous Information Network in Hyperbolic Spaces.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

Hyperbolic Graph Attention Network.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Binarized network embedding with community structural information.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Compact Graph Structure Learning via Mutual Information Compression.

[BibT_eX]

[DOI]

CoRR, 2022

Compact Graph Structure Learning via Mutual Information Compression.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Prohibited Item Detection via Risk Graph Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Geometric Disentangled Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Uncovering the Structural Fairness in Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-supervised Graph Neural Networks for Multi-behavior Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Robust Heterogeneous Graph Neural Networks against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Learning Deep Lucas-Kanade Siamese Network for Visual Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Interpreting and Unifying Graph Neural Networks with An Optimization Framework.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Lorentzian Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Graph Structure Estimation Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Large-scale Comb-K Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Universal Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

CuCo: Graph Representation with Curriculum Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Prohibited Item Detection on Heterogeneous Risk Graphs.

[BibT_eX]

[DOI]

Yugang Ji

Chuan Shi

Xiao Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Updated Paired Regions for Shadow Detection from Single Image.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Heterogeneous Graph Structure Learning for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Beyond Low-frequency Information in Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Community enhanced graph convolutional networks.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Heterogeneous Graph Neural Network for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

One2Multi Graph Autoencoder for Multi-view Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Structural Deep Clustering Network.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Network Schema Preserving Heterogeneous Information Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Decorrelated Clustering with Data Selection Bias.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversarial Label-Flipping Attack and Defense for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Multi-Component Graph Convolutional Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Independence Promoted Graph Disentangled Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Survey on Network Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Heterogeneous Graph Attention Network.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Temporal Network Embedding with Micro- and Macro-dynamics.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Hyperbolic Heterogeneous Information Network Embedding.

[BibT_eX]

[DOI]

Xiao Wang

Yiding Zhang

Chuan Shi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Diverse Non-Negative Matrix Factorization for Multiview Data Representation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Entropy-based active sparse subspace clustering.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

Arbitrary-Order Proximity Preserved Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Recursive Network Embedding with Regular Equivalence.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Hierarchical Taxonomy Aware Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Power-law Distribution Aware Trust Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Ranking Preserving Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Edge Content Enhanced Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Billion-Scale Network Embedding with Iterative Random Projection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Abnormal Event Detection via Heterogeneous Information Network Embedding.

[BibT_eX]

[DOI]

Shaohua Fan

Chuan Shi

Xiao Wang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

TIMERS: Error-Bounded SVD Restart on Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Structural Deep Embedding for Hyper-Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Constrained Low-Rank Representation for Robust Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Learning community structures: Global and local perspectives.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Unsupervised feature selection via Diversity-induced Self-representation.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Robust nonnegative matrix factorization with ordered structure constraints.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi-Component Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Community Preserving Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Modularity Based Community Detection with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Semantic Community Identification in Large Attribute Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Robust semi-supervised nonnegative matrix factorization.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

Xiao Wang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...