Xuan-Son Vu

51 papers A* 3A 2B 4C 2Misc 1Journal 21Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code.
COLING (Industry)
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, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Barbosa Junior, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Nour Moustafa-Fahmy, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Hiep Nguyen, Sampo Pyysalo
2025 J jnl
MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources.
CoRR
Huu Nguyen, Victor May, Harsh Raj, Marianna Nezhurina, Yishan Wang, Yanqi Luo, Minh Chien Vu, Taishi Nakamura, Ken Tsui, Van Khue Nguyen, David Salinas, Aleksandra Krasnodebska, Christoph Schuhmann, Mats Leon Richter, Xuan-Son Vu, Jenia Jitsev
2025 J jnl
The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification.
CoRR
Arezoo Hatefi, Xuan-Son Vu, Monowar Bhuyan, Frank Drewes
2025 — conf
The Third Visual Object Tracking Segmentation VOTS2025 Challenge Results.
ICCVW
Matei Kristan, Jirí Matas, Pavel Tokmakov, Alan Lukezic, Michael Felsberg, Luka Cehovin Zajc, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Michal Neoral, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Matteo Dunnhofer, Wei Feng, Zhenhua Feng, Jin Gao, Yameng Gu, Ruize Han, Jiawei He, Zhenyu He, Junhui Hou, Weiming Hu, Xiantao Hu, Xingsen Huang, Yuqing Huang, Gleb Kirichenko, Josef Kittler, Yutong Kou, Simiao Lai, Bing Li, Xin Li, Shubo Lin, Huchuan Lu, Deshui Miao, Christian Micheloni, Juan David Mogollon, Moritz Nottebaum, Kannappan Palaniappan, Ziqi Pang, Zekun Qian, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jovana Videnovic, Dong Wang, Yaowei Wang, Yu-Xiong Wang, Zhixiang Wang, Xiaojun Wu, Jinxia Xie, Tianyang Xu, Chaocan Xue, Yuanliang Xue, Ming-Hsuan Yang, Dmitriy Yurtov, Chunui Zhang, Xiangqun Zhang, Yunfei Zhang, Qingfang Zheng, Bineng Zhong, Fuan Zhong, Jinglin Zhou, Jingmeng Zhou, Junbao Zhou, Yong Zhou, Xuefeng Zhu
2024 J jnl
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order.
CoRR
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, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Barbosa Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo
2024 J jnl
NeuProNet: neural profiling networks for sound classification.
Neural Comput. Appl.
Khanh-Tung Tran, Xuan-Son Vu, Khuong Nguyen, Hoang D. Nguyen
2024 — conf
Pseudonymization Categories across Domain Boundaries.
LREC/COLING
Maria Irena Szawerna, Simon Dobnik, Therese Lindström Tiedemann, Ricardo Muñoz Sánchez, Xuan-Son Vu, Elena Volodina
2024 — conf
The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results.
ECCV Workshops (7)
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, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Sai S. Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin
2024 J jnl
Wave2Graph: Integrating spectral features and correlations for graph-based learning in sound waves.
AI Open
Van-Truong Hoang, Khanh-Tung Tran, Xuan-Son Vu, Duy-Khuong Nguyen, Monowar Bhuyan, Hoang D. Nguyen
2023 — conf
ADCluster: Adaptive Deep Clustering for Unsupervised Learning from Unlabeled Documents.
ICNLSP
Arezoo Hatefi, Xuan-Son Vu, Monowar Bhuyan, Frank Drewes
2023 — conf
Grandma Karl is 27 years old - research agenda for pseudonymization of research data.
BigDataService
Elena Volodina, Simon Dobnik, Therese Lindström Tiedemann, Xuan-Son Vu
2023 J jnl
Grandma Karl is 27 years old - research agenda for pseudonymization of research data.
CoRR
Elena Volodina, Simon Dobnik, Therese Lindström Tiedemann, Xuan-Son Vu
2023 J jnl
MetaVSID: A Robust Meta-Reinforced Learning Approach for VSI-DDoS Detection on the Edge.
IEEE Trans. Netw. Serv. Manag.
Xuan-Son Vu, Maode Ma, Monowar Bhuyan
2023 J jnl
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data.
CoRR
Khanh-Tung Tran, Truong Son Hy, Lili Jiang, Xuan-Son Vu
2023 B conf
Multimodal Machine Learning for Mental Disorder Detection: A Scoping Review.
KES
Thuy-Trinh Nguyen, Viet Hoang-Quoc Pham, Duc-Trong Le, Xuan-Son Vu, Fani Deligianni, Hoang D. Nguyen
2023 A conf
Personalization for Robust Voice Pathology Detection in Sound Waves.
INTERSPEECH
Khanh-Tung Tran, Truong Hoang, Duy Khuong Nguyen, Hoang D. Nguyen, Xuan-Son Vu
2023 — conf
Privacy and Trust in IoT Ecosystems with Big Data: A Survey of Perspectives and Challenges.
BigDataService
Tuan Minh Nguyen, Xuan-Son Vu
2023 — conf
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.
ICCV (Workshops)
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, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo
2023 — conf
ViGPTQA - State-of-the-Art LLMs for Vietnamese Question Answering: System Overview, Core Models Training, and Evaluations.
EMNLP (Industry Track)
Minh Thuan Nguyen, Khanh-Tung Tran, Nhu-Van Nguyen, Xuan-Son Vu
2022 B conf
Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection.
IJCNN
Sourasekhar Banerjee, Xuan-Son Vu, Monowar Bhuyan
2022 J jnl
Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds.
IEEE Access
Adil Bin Bhutto, Xuan-Son Vu, Erik Elmroth, Wee Peng Tay, Monowar Bhuyan
2022 — conf
SoBigDemicSys: A Social Media based Monitoring System for Emerging Pandemics with Big Data.
BigDataService
Tung Khanh Tran, Xuan-Son Vu, Lili Jiang
2021 A conf
Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling.
CIKM
Arezoo Hatefi, Xuan-Son Vu, Monowar Bhuyan, Frank Drewes
2021 — conf
ICDAR 2021 Competition on Multimodal Emotion Recognition on Comics Scenes.
ICDAR (4)
Nhu-Van Nguyen, Xuan-Son Vu, Christophe Rigaud, Lili Jiang, Jean-Christophe Burie
2021 — conf
MC-OCR Challenge: Mobile-Captured Image Document Recognition for Vietnamese Receipts.
RIVF
Xuan-Son Vu, Quang-Anh Bui, Nhu-Van Nguyen, Thi Tuyet Hai Nguyen, Thanh Vu
2021 A* conf
Modular Graph Transformer Networks for Multi-Label Image Classification.
AAAI
Hoang D. Nguyen, Xuan-Son Vu, Duc-Trong Le
2020 J jnl
HSD Shared Task in VLSP Campaign 2019: Hate Speech Detection for Social Good.
CoRR
Xuan-Son Vu, Thanh Vu, Mai-Vu Tran, Thanh Le-Cong, Huyen T. M. Nguyen
2020 B conf
Multimodal Review Generation with Privacy and Fairness Awareness.
COLING
Xuan-Son Vu, Thanh-Son Nguyen, Duc-Trong Le, Lili Jiang
2020 J jnl
On multi-resident activity recognition in ambient smart-homes.
Artif. Intell. Rev.
Son N. Tran, Dung Nguyen, Ngo Tung Son, Xuan-Son Vu, Long Hoang, Qing Zhang, Mohan Karunanithi
2020 A* conf
Privacy-Preserving Visual Content Tagging using Graph Transformer Networks.
ACM Multimedia
Xuan-Son Vu, Duc-Trong Le, Christoffer Edlund, Lili Jiang, Hoang D. Nguyen
2020 — —
Privacy-guardian: the vital need in machine learning with big data.
Xuan-Son Vu
2020 J jnl
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites.
CoRR
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
2020 J jnl
Reinforced Data Sampling for Model Diversification.
CoRR
Hoang D. Nguyen, Xuan-Son Vu, Quoc-Tuan Truong, Duc-Trong Le
2019 J jnl
ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings.
CoRR
Xuan-Son Vu, Thanh Vu, Son N. Tran, Lili Jiang
2019 Misc conf
ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task.
RANLP
Xuan-Son Vu, Thanh Vu, Son N. Tran, Lili Jiang
2019 J jnl
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure.
CoRR
Xuan-Son Vu, Abhishek Santra, Sharma Chakravarthy, Lili Jiang
2019 A* conf
Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics.
WWW
Xuan-Son Vu, Addi Ait-Mlouk, Erik Elmroth, Lili Jiang
2019 — conf
dpUGC: Learn Differentially Private Representation for User Generated Contents (Best Paper Award, Third Place, Shared).
CICLing (1)
Xuan-Son Vu, Son N. Tran, Lili Jiang
2019 J jnl
dpUGC: Learn Differentially Private Representation for User Generated Contents.
CoRR
Xuan-Son Vu, Son N. Tran, Lili Jiang
2018 — conf
Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling.
ICONIP (1)
Son N. Tran, Qing Zhang, Anthony N. Nguyen, Xuan-Son Vu, Ngo Tung Son
2018 C conf
Lexical-semantic resources: yet powerful resources for automatic personality classification.
GWC
Xuan-Son Vu, Lucie Flekova, Lili Jiang, Iryna Gurevych
2018 — conf
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter.
SemEval@NAACL-HLT
Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, Dai Quoc Nguyen, Michael Catt, Michael Trenell
2018 J jnl
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter.
CoRR
Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, Dai Quoc Nguyen, Michael Catt, Michael Trenell
2018 — conf
Self-adaptive Privacy Concern Detection for User-Generated Content.
CICLing (1)
Xuan-Son Vu, Lili Jiang
2018 J jnl
Self-adaptive Privacy Concern Detection for User-generated Content.
CoRR
Xuan-Son Vu, Lili Jiang
2017 J jnl
Lexical-semantic resources: yet powerful resources for automatic personality classification.
CoRR
Xuan-Son Vu, Lucie Flekova, Lili Jiang, Iryna Gurevych
2017 J jnl
Mining User/Movie Preferred Features Based on Reviews for Video Recommendation System.
CoRR
Xuan-Son Vu, Seong-Bae Park
2017 B conf
Personality-based Knowledge Extraction for Privacy-preserving Data Analysis.
K-CAP
Xuan-Son Vu, Lili Jiang, Anders Brändström, Erik Elmroth
2014 C conf
Building a Vietnamese SentiWordNet Using Vietnamese Electronic Dictionary and String Kernel.
PKAW
Xuan-Son Vu, Hyun-Je Song, Seong-Bae Park
2014 J jnl
Construction of Vietnamese SentiWordNet by using Vietnamese Dictionary.
CoRR
Xuan-Son Vu, Seong-Bae Park
2014 — conf
Improving Text-Based Image Search with Textual and Visual Features Combination.
KSE
Xuan-Son Vu, Thanh Vu, Huong Nguyen, Quang-Thuy Ha