Xuan-Son Vu

Orcid: 0000-0001-8820-2405

According to our database1, Xuan-Son Vu authored at least 39 papers between 2014 and 2024.

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Bibliography

2024
NeuProNet: neural profiling networks for sound classification.
Neural Comput. Appl., April, 2024

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order.
CoRR, 2024

2023
MetaVSID: A Robust Meta-Reinforced Learning Approach for VSI-DDoS Detection on the Edge.
IEEE Trans. Netw. Serv. Manag., June, 2023

Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data.
CoRR, 2023

Multimodal Machine Learning for Mental Disorder Detection: A Scoping Review.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

ADCluster: Adaptive Deep Clustering for Unsupervised Learning from Unlabeled Documents.
Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ViGPTQA - State-of-the-Art LLMs for Vietnamese Question Answering: System Overview, Core Models Training, and Evaluations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Grandma Karl is 27 years old - research agenda for pseudonymization of research data.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

Privacy and Trust in IoT Ecosystems with Big Data: A Survey of Perspectives and Challenges.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

2022
Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds.
IEEE Access, 2022

Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection.
Proceedings of the International Joint Conference on Neural Networks, 2022

SoBigDemicSys: A Social Media based Monitoring System for Emerging Pandemics with Big Data.
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

2021
MC-OCR Challenge: Mobile-Captured Image Document Recognition for Vietnamese Receipts.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

ICDAR 2021 Competition on Multimodal Emotion Recognition on Comics Scenes.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Modular Graph Transformer Networks for Multi-Label Image Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Privacy-guardian: the vital need in machine learning with big data.
PhD thesis, 2020

ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites.
CoRR, 2020

HSD Shared Task in VLSP Campaign 2019: Hate Speech Detection for Social Good.
CoRR, 2020

Reinforced Data Sampling for Model Diversification.
CoRR, 2020

On multi-resident activity recognition in ambient smart-homes.
Artif. Intell. Rev., 2020

Privacy-Preserving Visual Content Tagging using Graph Transformer Networks.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Multimodal Review Generation with Privacy and Fairness Awareness.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure.
CoRR, 2019

dpUGC: Learn Differentially Private Representation for User Generated Contents.
CoRR, 2019

ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings.
CoRR, 2019

Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics.
Proceedings of the World Wide Web Conference, 2019

ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

dpUGC: Learn Differentially Private Representation for User Generated Contents (Best Paper Award, Third Place, Shared).
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

2018
Lexical-semantic resources: yet powerful resources for automatic personality classification.
Proceedings of the 9th Global Wordnet Conference, 2018

NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Self-adaptive Privacy Concern Detection for User-Generated Content.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

2017
Mining User/Movie Preferred Features Based on Reviews for Video Recommendation System.
CoRR, 2017

Personality-based Knowledge Extraction for Privacy-preserving Data Analysis.
Proceedings of the Knowledge Capture Conference, 2017

2014
Construction of Vietnamese SentiWordNet by using Vietnamese Dictionary.
CoRR, 2014

Building a Vietnamese SentiWordNet Using Vietnamese Electronic Dictionary and String Kernel.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2014

Improving Text-Based Image Search with Textual and Visual Features Combination.
Proceedings of the Knowledge and Systems Engineering, 2014


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