Ye Wang

Orcid: 0000-0002-4752-5280

Affiliations:
  • National University of Defense Technology, College of Computer, Changsha, China
  • Victoria University, Centre for Applied Informatics, Melbourne, Australia


According to our database1, Ye Wang authored at least 39 papers between 2015 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Open World Intrusion Detection: An Open Set Recognition Method for CAN Bus in Intelligent Connected Vehicles.
IEEE Netw., May, 2024

A Few-Shot Class-Incremental Learning Method for Network Intrusion Detection.
IEEE Trans. Netw. Serv. Manag., April, 2024

DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning.
CoRR, 2024

A Multi-modal Prompt Learning Framework for Early Detection of Fake News.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Temporal Relational Context Learning for Extrapolation Reasoning on Temporal Knowledge Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2024

AGAE: Unsupervised Anomaly Detection for Encrypted Malicious Traffic.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

TS-AUBD: A Novel Two-Stage Method for Abnormal User Behavior Detection.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset.
World Wide Web (WWW), September, 2023

Extrapolation over temporal knowledge graph via hyperbolic embedding.
CAAI Trans. Intell. Technol., June, 2023

Artificial intelligence enabled cyber security defense for smart cities: A novel attack detection framework based on the MDATA model.
Knowl. Based Syst., 2023

A Multi-Modal Approach For Context-Aware Network Traffic Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Gradient Trade-offs between Tasks in Multi-task Text Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs.
Proceedings of the International Joint Conference on Neural Networks, 2022

Temporal Knowledge Graph Reasoning based on Graph Convolution Network.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Topic Modeling for Short Texts Via Dual View Collaborate optimization.
Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

2021
Information Cascading in Social Networks.
Proceedings of the MDATA: A New Knowledge Representation Model, 2021

The Framework of the MDATA Computing Model.
Proceedings of the MDATA: A New Knowledge Representation Model, 2021

Target relational attention-oriented knowledge graph reasoning.
Neurocomputing, 2021

CGNN: Traffic Classification with Graph Neural Network.
CoRR, 2021

Popularity Prediction of Online Contents via Cascade Graph and Temporal Information.
Axioms, 2021

Performance Evaluation of Pre-trained Models in Sarcasm Detection Task.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

MSSF-GCN: Multi-scale Structural and Semantic Information Fusion Graph Convolutional Network for Controversy Detection.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Survey on Temporal Knowledge Graph.
Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

Survey on Knowledge Graph Embedding Based on Hyperbolic Geometry.
Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

Survey on social event detection.
Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

2020
Guest editorial: special issue on data science in cyberspace 2019.
World Wide Web, 2020

A Weighted Overlook Graph Representation of EEG Data for Absence Epilepsy Detection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Learning for Social Network Information Cascade Analysis: a survey.
Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

A Sequential Graph Convolutional Network with Frequency-domain Complex Network of EEG Signals for Epilepsy Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Adversarial Heterogeneous Network Embedding with Metapath Attention Mechanism.
J. Comput. Sci. Technol., 2019

Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding.
Proceedings of the Database Systems for Advanced Applications, 2019

2017
Multi-window based ensemble learning for classification of imbalanced streaming data.
World Wide Web, 2017

Topic Detection with Locally Weighted Semi-supervised Collective Learning.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Semi-Supervised Collective Matrix Factorization for Topic Detection and Document Clustering.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

THCluster: Herb supplements categorization for precision traditional Chinese medicine.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Exploring Social Relationships in Text Streams.
EAI Endorsed Trans. Scalable Inf. Syst., 2016

2015
Multi-Window Based Ensemble Learning for Classification of Imbalanced Streaming Data.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015


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