Liwen Peng

Orcid: 0000-0003-1202-9583

According to our database1, Liwen Peng authored at least 14 papers between 2017 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection.
Inf. Process. Manag., January, 2024

LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction.
Proceedings of the ACM on Web Conference 2024, 2024

Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios.
Inf. Sci., November, 2023

Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization.
CoRR, 2023

Image Captioning-based Smart Phone Forensics Analysis Model.
Proceedings of the 6th International Conference on Big Data Technologies, 2023

MRML: Multimodal Rumor Detection by Deep Metric Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2021
Multi-label Learning By exploiting Correlations of Label Subsets.
Proceedings of the ICIT 2021: IoT and Smart City, Guangzhou, China, December 22 - 25, 2021, 2021

2020
A Machine Learning-Based Framework for Mobile Forensics.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020

2019
Attribute weights-based clustering centres algorithm for initialising K-modes clustering.
Clust. Comput., 2019

Diting: An Author Disambiguation Method Based on Network Representation Learning.
IEEE Access, 2019

User Donations in a User Generated Video System.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Author Disambiguation through Adversarial Network Representation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

2017
Gravitation Theory Based Model for Multi-Label Classification.
Int. J. Comput. Commun. Control, 2017


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