Xiaodong Feng

Orcid: 0000-0001-9975-9807

Affiliations:
  • University of Electronic Science and Technology of China, School of Political Science and Public Administration, Dongling School of Economics and Management, Chengdu, China
  • University of Minnesota Twin Cities, Department of Computer Science and Engineering, Minneapolis, MN, USA (2013-2014)


According to our database1, Xiaodong Feng authored at least 33 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection.
Appl. Intell., February, 2024

2023
RGSE: Robust Graph Structure Embedding for Anomalous Link Detection.
IEEE Trans. Big Data, October, 2023

Towards popularity prediction of information cascades via degree distribution and deep neural networks.
J. Informetrics, August, 2023

Effect of data environment and cognitive ability on participants' attitude towards data governance.
J. Inf. Sci., June, 2023

Understanding how the expression of online citizen petitions influences the government responses in China: An empirical study with automatic text analytics.
Inf. Process. Manag., May, 2023

2022
Utilizing citation network structure to predict paper citation counts: A Deep learning approach.
J. Informetrics, 2022

Predicting information diffusion via deep temporal convolutional networks.
Inf. Syst., 2022

AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder.
Expert Syst. Appl., 2022

Social recommendation via deep neural network-based multi-task learning.
Expert Syst. Appl., 2022

Robust Attributed Network Embedding Preserving Community Information.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Self-paced learning enhanced neural matrix factorization for noise-aware recommendation.
Knowl. Based Syst., 2021

Prediction of information cascades via content and structure proximity preserved graph level embedding.
Inf. Sci., 2021

Robust sparse coding via self-paced learning for data representation.
Inf. Sci., 2021

Understanding how the semantic features of contents influence the diffusion of government microblogs: Moderating role of content topics.
Inf. Manag., 2021

2020
On modeling and predicting popularity dynamics via integrating generative model and rich features.
Knowl. Based Syst., 2020

Clicking position and user posting behavior in online review systems: A data-driven agent-based modeling approach.
Inf. Sci., 2020

Understanding user-to-User interaction on government microblogs: An exponential random graph model with the homophily and emotional effect.
Inf. Process. Manag., 2020

Modeling the dynamics of online review life cycle: Role of social and economic moderations.
Eur. J. Oper. Res., 2020

2018
Sparse latent model with dual graph regularization for collaborative filtering.
Neurocomputing, 2018

2017
Multi-Hypergraph Consistent Sparse Coding.
ACM Trans. Intell. Syst. Technol., 2017

Efficient locality weighted sparse representation for graph-based learning.
Knowl. Based Syst., 2017

Robust Sparse Coding via Self-Paced Learning.
CoRR, 2017

2016
Categorical missing data imputation approach via sparse representation.
Int. J. Serv. Technol. Manag., 2016

Social network regularized Sparse Linear Model for Top-N recommendation.
Eng. Appl. Artif. Intell., 2016

Label consistent semi-supervised non-negative matrix factorization for maintenance activities identification.
Eng. Appl. Artif. Intell., 2016

Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015
Automatic instance selection via locality constrained sparse representation for missing value estimation.
Knowl. Based Syst., 2015

Distributed Recommendation Algorithm Based on Matrix Decomposition on MapReduce Framework.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Predicting Small Group Accretion in Social Networks: A topology based incremental approach.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Spectral clustering of high-dimensional data exploiting sparse representation vectors.
Neurocomputing, 2014

2013
Spectral Clustering Algorithm Based on Local Sparse Representation.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

2012
Missing categorical data imputation approach based on similarity.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering.
Proceedings of the Knowledge Science, Engineering and Management, 2011


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