Xianyu Bao

Orcid: 0000-0003-1590-083X

According to our database1, Xianyu Bao authored at least 25 papers between 2012 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
TIRA: Truth Inference via Reliability Aggregation on Object-Source Graph.
IEEE Trans. Knowl. Data Eng., November, 2023

Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding.
ACM Trans. Knowl. Discov. Data, June, 2023

Semantic Fusion Enhanced Event Detection via Multi-Graph Attention Network with Skip Connection.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Crowdsourcing Truth Inference Based on Label Confidence Clustering.
ACM Trans. Knowl. Discov. Data, May, 2023

Semi-Supervised Event Extraction Incorporated With Topic Event Frame.
J. Database Manag., 2023

Topic Modeling for Short Texts via Adaptive P$\acute{o}$lya Urn Dirichlet Multinomial Mixture.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
DuSAG: An Anomaly Detection Method in Dynamic Graph Based on Dual Self-attention.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
Attentive interaction-driven entity resolution over multi-source web information.
Neurocomputing, 2021

BTGAN: Training GAN with Balanced Triplet Loss and Two-Branch Architecture.
Proceedings of the International Joint Conference on Neural Networks, 2021

Research on Crowdsourcing Truth Inference Method Based on Graph Embedding.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

MTSC-GE: A Novel Graph based Method for Multivariate Time Series Clustering.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Gaussian Model-Based Fully Convolutional Networks for Multivariate Time Series Classification.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Subject Event Extraction from Chinese Court Verdict Case via Frame-filling.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019
Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification.
IEEE Access, 2019

Chinese Temporal Expression Recognition Combining Rules with a Statistical Model.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

An Optimization-Based Truth Discovery Method with Claim Relation.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Ensemble Classification Method Based on Truth Discovery.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

ECGAN: Image Translation with Multi-scale Relativistic Average Discriminator.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2019, 2019

2017
Parallel DNNs for users and items modeling and recommendation using comments.
Proceedings of the 2017 IEEE SmartWorld, 2017

Learning Item/User Vectors from Comments for Collaborative Recommendation.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

Grid-based Gaussian Processes Factorization Machine for Recommender Systems.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

2016
Combining user-based and global lexicon features for sentiment analysis in twitter.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
A semantic approach for text clustering using WordNet and lexical chains.
Expert Syst. Appl., 2015

2012
Mobile Quarantine Service System for Land Ports Based on Vehicle Mounted Terminal.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012


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