Bo Xu

Orcid: 0000-0003-4135-0683

Affiliations:
  • Dalian University of Technology, School of Software, Key Laboratory for Ubiquitous Network and Service Software of Liaoning, China
  • Dalian University of Technology, College of Computer Science and Technology, Dalian, China (PhD 2014)


According to our database1, Bo Xu authored at least 34 papers between 2009 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Attributed Graph Force Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

2023
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks.
ACM Trans. Knowl. Discov. Data, May, 2023

2022
Mining Multivariate Implicit Relationships in Academic Networks.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Emotion-Enhanced Multi-Modal Persuasive Techniques Detection Using Split Features.
Proceedings of the Fuzzy Systems and Data Mining VIII, 2022

2021
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining.
IEEE Trans. Knowl. Data Eng., 2021

VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation.
IEEE Trans. Emerg. Top. Comput., 2021

SARVE-2: Exploiting Social Venue Recommendation in the Context of Smart Conferences.
IEEE Trans. Emerg. Top. Comput., 2021

Network Completion with Auto-regressive Graph Generative Model.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

2020
MODEL: Motif-Based Deep Feature Learning for Link Prediction.
IEEE Trans. Comput. Soc. Syst., 2020

Protein Complexes Identification with Family-Wise Error Rate Control.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Motif discovery in networks: A survey.
Comput. Sci. Rev., 2020

Network Representation Learning: From Traditional Feature Learning to Deep Learning.
IEEE Access, 2020

Reference-Based Sequence Classification.
IEEE Access, 2020

Graph Force Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting.
World Wide Web, 2019

Skill ranking of researchers via hypergraph.
PeerJ Comput. Sci., 2019

Data Mining and Information Retrieval in the 21st century: A bibliographic review.
Comput. Sci. Rev., 2019

Double warning thresholds for preemptive charging scheduling in Wireless Rechargeable Sensor Networks.
Comput. Networks, 2019

Detection of protein complexes from multiple protein interaction networks using graph embedding.
Artif. Intell. Medicine, 2019

A Survey of Measures for Network Motifs.
IEEE Access, 2019

Protein Complexes Detection Based on Deep Neural Network.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Disease Gene Prediction Based on Heterogeneous Probabilistic Hypergraph Ranking.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

DINE: A Framework for Deep Incomplete Network Embedding.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Protein complexes identification based on go attributed network embedding.
BMC Bioinform., 2018

Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks.
BMC Bioinform., 2018

PePSI: Personalized Prediction of Scholars' Impact in Heterogeneous Temporal Academic Networks.
IEEE Access, 2018

Leveraging Biomedical Resources in Bi-LSTM for Drug-Drug Interaction Extraction.
IEEE Access, 2018

Disappearing Link Prediction in Scientific Collaboration Networks.
IEEE Access, 2018

A Survey of Scholarly Data Visualization.
IEEE Access, 2018

PCM: A Pairwise Correlation Mining Package for Biological Network Inference.
Proceedings of the Intelligent Computing Theories and Application, 2018

2015
VCLT: An Accurate Trajectory Tracking Attack Based on Crowdsourcing in VANETs.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2012
Classifying protein complexes from candidate subgraphs using fuzzy machine learning model.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2010
Ontology integration to identify protein complex in protein interaction networks.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
Study on question answering system for biomedical domain.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009


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