Improving Text-Based Image Search with Textual and Visual Features Combination. - Xuan-Son Vu; Thanh Vu; Huong Nguyen; Quang-Thuy Ha (KSE, 2014)

Building a Vietnamese SentiWordNet Using Vietnamese Electronic Dictionary and String Kernel. - Xuan-Son Vu; Hyun-Je Song; Seong-Bae Park (PKAW, 2014)

Construction of Vietnamese SentiWordNet by using Vietnamese Dictionary. - Xuan-Son Vu; Seong-Bae Park (CoRR, 2014)

Personality-based Knowledge Extraction for Privacy-preserving Data Analysis. - Xuan-Son Vu; Lili Jiang 002; Anders Brändström; Erik Elmroth (K-CAP, 2017)

Mining User/Movie Preferred Features Based on Reviews for Video Recommendation System. - Xuan-Son Vu; Seong-Bae Park (CoRR, 2017)

Self-adaptive Privacy Concern Detection for User-Generated Content. - Xuan-Son Vu; Lili Jiang 002 (CICLing (1), 2018)

Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling. - Son N. Tran; Qing Zhang 001; Anthony N. Nguyen; Xuan-Son Vu; Ngo Tung Son (ICONIP (1), 2018)

NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter. - Thanh Vu; Dat Quoc Nguyen; Xuan-Son Vu; Dai Quoc Nguyen; Michael Catt; Michael Trenell (SemEval@NAACL-HLT, 2018)

Lexical-semantic resources: yet powerful resources for automatic personality classification. - Xuan-Son Vu; Lucie Flekova; Lili Jiang 002; Iryna Gurevych (GWC, 2018)

dpUGC: Learn Differentially Private Representation for User Generated Contents (Best Paper Award, Third Place, Shared). - Xuan-Son Vu; Son N. Tran; Lili Jiang 002 (CICLing (1), 2019)

ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task. - Xuan-Son Vu; Thanh Vu; Son N. Tran; Lili Jiang 002 (RANLP, 2019)

Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics. - Xuan-Son Vu; Addi Ait-Mlouk; Erik Elmroth; Lili Jiang 002 (WWW, 2019)

ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings. - Xuan-Son Vu; Thanh Vu; Son N. Tran; Lili Jiang 002 (CoRR, 2019)

dpUGC: Learn Differentially Private Representation for User Generated Contents. - Xuan-Son Vu; Son N. Tran; Lili Jiang 002 (CoRR, 2019)

Generic Multilayer Network Data Analysis with the Fusion of Content and Structure. - Xuan-Son Vu; Abhishek Santra; Sharma Chakravarthy; Lili Jiang 002 (CoRR, 2019)

Multimodal Review Generation with Privacy and Fairness Awareness. - Xuan-Son Vu; Thanh-Son Nguyen 001; Duc-Trong Le; Lili Jiang 002 (COLING, 2020)

Privacy-Preserving Visual Content Tagging using Graph Transformer Networks. - Xuan-Son Vu; Duc-Trong Le; Christoffer Edlund; Lili Jiang 002; Hoang D. Nguyen (ACM Multimedia, 2020)

On multi-resident activity recognition in ambient smart-homes. - Son N. Tran; Dung Nguyen 001; Ngo Tung Son; Xuan-Son Vu; Long Hoang; Qing Zhang 001; Mohan Karunanithi (Artif. Intell. Rev., 2020)

Reinforced Data Sampling for Model Diversification. - Hoang D. Nguyen; Xuan-Son Vu; Quoc-Tuan Truong; Duc-Trong Le (CoRR, 2020)

HSD Shared Task in VLSP Campaign 2019: Hate Speech Detection for Social Good. - Xuan-Son Vu; Thanh Vu; Mai-Vu Tran; Thanh Le-Cong; Huyen T. M. Nguyen (CoRR, 2020)

ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites. - Duc-Trong Le; Xuan-Son Vu; Nhu-Dung To; Huu-Quang Nguyen; Thuy-Trinh Nguyen; Linh Le; Anh-Tuan Nguyen; Minh-Duc Hoang; Nghia Le; Huyen Nguyen; Hoang D. Nguyen (CoRR, 2020)

Privacy-guardian: the vital need in machine learning with big data. - Xuan-Son Vu (2020)

Modular Graph Transformer Networks for Multi-Label Image Classification. - Hoang D. Nguyen; Xuan-Son Vu; Duc-Trong Le (AAAI, 2021)

Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling. - Arezoo Hatefi; Xuan-Son Vu; Monowar H. Bhuyan; Frank Drewes (CIKM, 2021)

ICDAR 2021 Competition on Multimodal Emotion Recognition on Comics Scenes. - Nhu-Van Nguyen; Xuan-Son Vu; Christophe Rigaud; Lili Jiang 002; Jean-Christophe Burie (ICDAR (4), 2021)

MC-OCR Challenge: Mobile-Captured Image Document Recognition for Vietnamese Receipts. - Xuan-Son Vu; Quang-Anh Bui; Nhu-Van Nguyen; Thi Tuyet Hai Nguyen; Thanh Vu (RIVF, 2021)

SoBigDemicSys: A Social Media based Monitoring System for Emerging Pandemics with Big Data. - Tung Khanh Tran; Xuan-Son Vu; Lili Jiang 002 (BigDataService, 2022)

Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection. - Sourasekhar Banerjee; Xuan-Son Vu; Monowar H. Bhuyan (IJCNN, 2022)

Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds. - Adil Bin Bhutto; Xuan-Son Vu; Erik Elmroth; Wee Peng Tay; Monowar H. Bhuyan (IEEE Access, 2022)

Privacy and Trust in IoT Ecosystems with Big Data: A Survey of Perspectives and Challenges. - Tuan Minh Nguyen; Xuan-Son Vu (BigDataService, 2023)

Grandma Karl is 27 years old - research agenda for pseudonymization of research data. - Elena Volodina; Simon Dobnik; Therese Lindström Tiedemann; Xuan-Son Vu (BigDataService, 2023)

ViGPTQA - State-of-the-Art LLMs for Vietnamese Question Answering: System Overview, Core Models Training, and Evaluations. - Minh Thuan Nguyen; Khanh-Tung Tran; Nhu-Van Nguyen; Xuan-Son Vu (EMNLP (Industry Track), 2023)

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. - Matej Kristan; Jirí Matas; Martin Danelljan; Michael Felsberg; Hyung Jin Chang; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Zhongqun Zhang; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; et al. (ICCV (Workshops), 2023)

ADCluster: Adaptive Deep Clustering for Unsupervised Learning from Unlabeled Documents. - Arezoo Hatefi; Xuan-Son Vu; Monowar H. Bhuyan; Frank Drewes (ICNLSP, 2023)

Personalization for Robust Voice Pathology Detection in Sound Waves. - Khanh-Tung Tran; Truong Hoang; Duy Khuong Nguyen; Hoang D. Nguyen; Xuan-Son Vu (INTERSPEECH, 2023)

Multimodal Machine Learning for Mental Disorder Detection: A Scoping Review. - Thuy-Trinh Nguyen; Viet Hoang-Quoc Pham; Duc-Trong Le; Xuan-Son Vu; Fani Deligianni; Hoang D. Nguyen (KES, 2023)

Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data. - Khanh-Tung Tran; Truong Son Hy; Lili Jiang 002; Xuan-Son Vu (CoRR, 2023)

MetaVSID: A Robust Meta-Reinforced Learning Approach for VSI-DDoS Detection on the Edge. - Xuan-Son Vu; Maode Ma; Monowar H. Bhuyan (IEEE Trans. Netw. Serv. Manag., 2023)

Pseudonymization Categories across Domain Boundaries. - Maria Irena Szawerna; Simon Dobnik; Therese Lindström Tiedemann; Ricardo Muñoz Sánchez; Xuan-Son Vu; Elena Volodina (LREC/COLING, 2024)

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. - Matej Kristan; Jirí Matas; Pavel Tokmakov; Michael Felsberg; Luka Cehovin Zajc; Alan Lukezic; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; Hyung Jin Chang; Gustavo Fernández; Minasadat Attari; et al. (ECCV Workshops (7), 2024)

Wave2Graph: Integrating spectral features and correlations for graph-based learning in sound waves. - Van-Truong Hoang; Khanh-Tung Tran; Xuan-Son Vu; Duy-Khuong Nguyen; Monowar H. Bhuyan; Hoang D. Nguyen (AI Open, 2024)

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. - Taishi Nakamura; Mayank Mishra; Simone Tedeschi; Yekun Chai; Jason T. Stillerman; Felix Friedrich; Prateek Yadav; Tanmay Laud; Minh Chien Vu; Terry Yue Zhuo; Diganta Misra; Ben Bogin; et al. (CoRR, 2024)

NeuProNet: neural profiling networks for sound classification. - Khanh-Tung Tran; Xuan-Son Vu; Khuong Nguyen; Hoang D. Nguyen (Neural Comput. Appl., 2024)

Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code. - Taishi Nakamura; Mayank Mishra; Simone Tedeschi; Yekun Chai; Jason T. Stillerman; Felix Friedrich; Prateek Yadav; Tanmay Laud; Minh Chien Vu; Terry Yue Zhuo; Diganta Misra; Ben Bogin; et al. (COLING (Industry), 2025)

The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification. - Arezoo Hatefi; Xuan-Son Vu; Monowar H. Bhuyan; Frank Drewes (CoRR, 2025)