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Xuan-Son Vu

Research interests: trustworthy ML/DL, graph learning in NLP/multimodal data. Co-authored different neural models - e.g., ppRNN (faster version of RNN), MGTN (modular), SGTN (privacy-preseving).



Works at

Staff scientist at Department of Computing Science
MIT-huset, Umeå universitet, MIT.D.224 Umeå universitet, 901 87 Umeå

I am a senior researcher at WASP Media & Language arena, and Founder of DeepTensor AB - a spin-off from CS department, working on securing ML/AI Solutions. I received my Ph.D degree from Umeå University with focus in privacy-guaranteed machine learning with big data. Before that, I got a M.Sc degree in Computer Science, Kyungpook National University in Korea with focus on NLP and Machine Learning. My work has been primarily focused on knowledge – both acquiring knowledge from text, multimodal data, and using structured knowledge to power downstream applications. I am a reviewer for journals/conferences including TheWebConf, ECAI, ICDM, PAKDD, SSR, SC2, COSE (Computer & Security), TPAMI.

My research has been involved around ML/DL solutions for ubiquitous data processing and analysis. Ubiquitous data refers to the various types of data available via IoT applications and user generated contents in daily activities (e.g., multimodal reviews, user activities on mobile devices, etc.). These data are not only scarce, ubiquitous but also located in different devices, locations, and belong to different users. To user generated content research, I have been working on privacy-guaranteed models for protecting user privacy while learning on their data. To data analytics, I have been proposing KaPPA and INFRA, two different analytical frameworks to project personal data for data analytics with new privacy-aware learning methods in the frameworks. Last but not least, different neural models were proposed by us in different research including (but not limited to) ppRNN [6], dpUGC [5], SGTN [4], MG-PRIFAIR [3], MGTN [1], Cformer [7]. These models play important roles in processing ubiquitous data which are not only scarce but also complex in most of the cases.

Collaboration is an important part of my work and I am a board member and publication chair of Vietnam Language and Speech Processing, VLSP, association organizing an International Workshop annually. VLSP encourages research in related areas by providing high quality datasets and letting the research community work on them via data challenges.

Locally, I work with a project in robust machine learning that studies new algorithms and neural methods to enhance robustness of ML based applications in multimodal data (e.g., the combination of textual data, visual data, graph data) tasks. Most recently, our work involves applications in healthcare, food of interest, and security on the edge cloud.


[1] Modular Graph Transformer Networks for Multi-Label Image Classification. Hoang D. Nguyen, Xuan-Son Vu, Duc-Trong Le, In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI2021)

[2] WINFRA: A Web-Based Platform for Semantic Data Retrieval and Data Analytics. Addi Ait-Mlouk, Xuan-Son Vu, Lili Jiang, In: Mathematics (Special Issue "Applied Data Analytics"), 2020, 8(11), 2090; doi:10.3390/math8112090.

[3] Multimodal Review Generation with Privacy and Fairness Awareness. Xuan-Son Vu, Thanh-Son Nguyen, Duc-Trong Le, Lili Jiang, In: Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020.

[4] Privacy-Preserving Visual Content Tagging using Graph Transformer Networks. Xuan-Son Vu, Duc-Trong Le, Christoffer Edlund, Lili Jiang, Hoang D. Nguyen, In: Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), 2020.

[5] dpUGC: Learn Differentially Private Representation for User Generated Contents. Xuan-Son Vu, Son N. Tran, Lili Jiang, In: Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing, April, 2019.

[6] Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling. Son N. Tran, Qing Zhang, Anthony Nguyen, Xuan-Son Vu, Son Ngo, In: Proceedings of the 25th International Conference on Neural Information Processing (ICONIP-2018).

[7] Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling. A Hatefi, Xuan-Son Vu, M Bhuyan, F Drewes, CIKM 2021.

Neural Computing & Applications
Tran, Khanh-Tung; Vu, Xuan-Son; Nguyen, Khuong; et al.
Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), Association for Computational Linguistics 2023 : 68-77
Hatefi, Arezoo; Vu, Xuan-Son; Bhuyan, Monowar H.; et al.
2023 IEEE/CVF International conference on computer vision workshops (ICCVW), Institute of Electrical and Electronics Engineers Inc. 2023 : 1788-1810
Kristan, Matej; Matas, Jiří; Danelljan, Martin; et al.
27th international conference on knowledge based and intelligent information and engineering sytems (KES 2023), Elsevier 2023 : 1458-1467
Nguyen, Thuy Trinh; Pham, Viet Hoang-Quoc; Le, Duc-Trong; et al.
Proceedings - IEEE 9th International Conference on Big Data Computing Service and Applications, BigDataService 2023, IEEE 2023 : 215-222
Nguyen, Tuan Minh; Vu, Xuan-Son
Proceedings of the annual conference of the international speech communication association, INTERSPEECH, International Speech Communication Association 2023 : 1708-1712
Tran, Khanh-Tung; Hoang, Truong; Nguyen, Duy Khuong; et al.
Proceedings - IEEE 9th International Conference on Big Data Computing Service and Applications, BigDataService 2023, IEEE 2023 : 229-233
Volodina, Elena; Dobnik, Simon; Lindström Tiedemann, Therese; et al.
Computational linguistics and intelligent text processing: 19th International Conference on CiCLing 2018, Hanoi, Vietnam, March 18-24, 2018Revised selected papers, part 1, Springer Science+Business Media B.V. 2023 : 153-167
Vu, Xuan-Son; Jiang, Lili
IEEE Transactions on Network and Service Management, IEEE 2023, Vol. 20, (2) : 1625-1643
Vu, Xuan-Son; Ma, Maode; Bhuyan, Monowar H.
Computational linguistics and intelligent text processing: 20th international conference, CICLing 2019, La Rochelle, France, April 7–13, 2019, revised selected papers, part I, Springer 2023 : 316-331
Vu, Xuan-Son; Tran, Son N.; Jiang, Lili
2022 International Joint Conference on Neural Networks (IJCNN), IEEE 2022 : 1-9
Banerjee, Sourasekhar; Vu, Xuan-Son; Bhuyan, Monowar H.
IEEE Access, IEEE 2022, Vol. 10 : 94677-94690
Bhutto, Adil B.; Vu, Xuan-Son; Elmroth, Erik; et al.
Proceedings - IEEE 8th International Conference on Big Data Computing Service and Applications, BigDataService 2022, IEEE Computer Society 2022 : 103-107
Tran, Tung Khanh; Vu, Xuan-Son; Jiang, Lili
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, ACM Digital Library 2021 : 3078-3082
Hatefi, Arezoo; Vu, Xuan-Son; Bhuyan, Monowar H.; et al.
35th AAAI Conference on Artificial Intelligence, AAAI 2021, 33 Conference on Innovative Applications of Artificial Intelligence and the 11 Symposium on Educational Advances in Artificial Intelligence: Vol. 35 No. 10: AAAI-21 Technical Tracks 10, Association for the Advancement of Artificial Intelligence 2021 : 9092-9100
Nguyen, Hoang D.; Vu, Xuan-Son; Le, Duc-Trong
Document Analysis and Recognition – ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I, Springer 2021 : 767-782
Nguyen, Nhu-Van; Vu, Xuan-Son; Rigaud, Christophe; et al.
Proceedings - 2021 RIVF International Conference on Computing and Communication Technologies, RIVF 2021, IEEE 2021 : 88-93
Vu, Xuan-Son; Bui, Quang-Anh; Nguyen, Nhu-Van; et al.
Mathematics, MDPI 2020, Vol. 8, (11)
Ait-Mlouk, Addi; Vu, Xuan-Son; Jiang, Lili
Artificial Intelligence Review, Springer 2020, Vol. 53, (6) : 3929-3945
Tran, Son N.; Nguyen, Dung; Ngo, Tung-Son; et al.
Proceedings of the 28th ACM International Conference on Multimedia (MM ’20), ACM Digital Library 2020 : 2299-2307
Vu, Xuan-Son; Le, Duc-Trong; Edlund, Christoffer; et al.
Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020, International Committee on Computational LinguisticsInternational Committee on Computational Linguistics 2020 : 414-425
Vu, Xuan-Son; Nguyen, Thanh-Son; Le, Duc-Trong; et al.
Report / UMINF, 19.06
Vu, Xuan-Son
Proceedings of The World Wide Web Conference WWW 2019, New York, NY, USA: ACM Digital Library 2019 : 3595-3599
Vu, Xuan-Son; Ait-Mlouk, Addi; Elmroth, Erik; et al.
Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2019
Vu, Xuan-Son; Santra, Abhishek; Chakravarthy, Sharma; et al.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), Incoma Ltd. 2019 : 1285-1294
Vu, Xuan-Son; Vu, Thanh; Tran, Son N.; et al.
Neural Information Processing: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I, Springer 2018 : 452-462
Tran, Son N.; Zhang, Qing; Nguyen, Anthony; et al.
Proceedings of the 12th international workshop on semantic evaluation, New Orleans: Association for Computational Linguistics 2018 : 525-530
Vu, Thanh; Nguyen, Dat Quoc; Vu, Xuan-Son; et al.
Proceedings of the 9th Global WordNet Conference (GWC 2018), Singapore: Nanyang Technological University (NTU) 2018 : 173-182
Vu, Xuan-Son; Flekova, Lucie; Jiang, Lili; et al.
K-CAP 2017: Proceedings of the Knowledge Capture Conference
Vu, Xuan-Son; Jiang, Lili; Brändström, Anders; et al.
Vu, Xuan-Son; Nguyen, Thanh-Son; Le, Duc-Trong; et al.