1. Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Chien Nguyen Dang, “An Effective and Interpretable Method for Document Classification”, Knowledge and Information Systems (KAIS), Volume 50, Issue 3, pp 763–793, 2017.
  2. Duc-Anh Nguyen, Kim Anh Nguyen, Linh Ngo, Khoat Than, “Keeping priors in streaming Bayesian learning”, Advances in Knowledge Discovery and Data Mining. PAKDD 2017. Lecture Notes in Computer Science, vol 10234. Springer, 2017.
  3. Tung Doan and Khoat Than, “Sparse Stochastic Inference with Regularization”, Advances in Knowledge Discovery and Data Mining. PAKDD 2017. Lecture Notes in Computer Science, vol 10234. Springer, 2017.
  4. Tran, Dang; Tran, Nhuan; Nguyen, Giang and Nguyen, Binh Minh. “A Proactive Cloud Scaling Model Based on Fuzzy Time Series and SLA Awareness”. In: Procedia Computer Science (International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland), p. 365-374, vol. 108, 2017, p. 365-374, ISSN: 1877-0509.


  1. Nguyen Binh Minh; Tran Dang and Nguyen Giang, “Enhancing Service Capability with Multiple Finite-capacity Server Queues in Cloud Data Centers”,  Cluster Computing, 2016, vol. 19, issue 4, p. 1747-1767, ISSN 1386-7857.
  2. Hluchý, Ladislav; Nguyen, Giang; Astalos, Jan; Tran, Viet; Sipkova, Viera and Nguyen, Binh Minh. “Effective Computation Resilience in High Performance and Distributed Environments”. In: Computing and Informatics, 2016, vol. 35, no. 6, p. 1386-1415, ISSN 1335-9150.
  3. Cao Tien Dung; Hoang Huu Hanh; Huynh Xuan Hiep; Nguyen Binh Minh; Pham,Tran Vu; Tran Minh Quang; Tran The Vu and Truong Hong Linh, “IoT Services for Solving Critical Problems in Vietnam: A Research Landscape and Directions”,  IEEE Internet Computing, 2016, vol. 20, no.5, p.76-81, ISSN 1089-7801.
  4. LH Son, Hai V. Pham, “A novel multiple fuzzy clustering method based on internal clustering validation measures with gradient descent”, International Journal of Fuzzy Systems 18 (5), 894-903, 2016.
  5. Le Hoang Son, Pham Van Viet, Pham Van Hai; “Picture inference system: a new fuzzy inference system on picture fuzzy set”; APPLIED INTELLIGENCE, Vol. 46, pp. 652 – 669.
  6. TM Tuan, NT Duc, Hai V. Pham, LH Son, “Dental Diagnosis from X-Ray images using fuzzy rule-based systems”, International Journal of Fuzzy System Applications, Vol. 16, No. 1, pp. 1-16, 2017 (Scopus).
  7. Hoa M. Le, Thi-Oanh Nguyen, and Dung Ngo, “Fully automated multi-label image annotation by convolutional neural network and adaptive thresholding”,  In The Seventh International Symposium on Information and Communication Technology – SOICT 2016 (Best paper award).
  8. Duc-Cuong Dao, Thi-Oanh Nguyen, and Stephane Bressan,  “Factors influencing the performance of image captioning model: An evaluation”,  In The 14th International Conference on Advances in Mobile Computing and Multimedia, 2016.
  9. Huong T. Le, Son V. Nguyen, Lam N. Pham, Duy D. Nguyen and An N. Nguyen, “Semantic Text Alignment based on Topic Modeling”, In Proceeding of RIVF, IEEE, 2016 (Best runner-up paper award).
  10. Nguyen Binh Minh and Vu Tuyet Trinh, “An Approach to Integration and Interoperability in IoT Cloud Resources” In Proceeding of Regional Conference on Computer and Information Engineering 2016 (RCCIE), Yangon, 2016, p. 176-180, ISBN 978-99971-0-231-7.
  11. Tran Dang; Tran Nhuan; Nguyen Binh Minh and Le Hieu, “PD-GABP – A Novel Prediction Model Applying for Elastic Applications in Distributed Environment”, In Proceeding of 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS), IEEE, Danang, 2016, p. 241-246, ISBN: 978-1-5090-2100-0/16.
  12. Sipkova, Viera; Hluchý, Ladislav; Dobrucky, Miroslav; Bartok, Juraj and Nguyen, Binh Minh. “Manufacturing of Weather Forecasting Simulations on High Performance Infrastructures”. In proceeding of 12th International Conference on eScience (eScience), IEEE, Baltimore, 2016, p. 432-439, ISBN 978-1-5090-4272-2.
  13. Tran V.-T, Nguyen K.-H, Bui D.-H, “A Vietnamese Language Model Based on Recurrent Neural Network”, In the  eighth international conference on Knowledge and Systems Engineering (KSE), 2016.
  14. Tran H.-T, Nguyen T.-H, Tran V.-T, “Large-scale geographically weighted regression on Spark”, In the eighth international conference on Knowledge and Systems Engineering (KSE), 2016.
  15. Xuan Bui, Tu Vu, Khoat Than, “Stochastic bounds for inference in topic models”, In Proceeding of ICTA, Springer, 2016.
  16. Vu Le, Chien Phung, Cuong Vu, Ngo Van Linh, Khoat Than, “Streaming Sentiment-Aspect Analysis”, In Proceeding of RIVF, IEEE, 2016.
  17. Kiem-Hieu Nguyen, Xavier Tannier, Olivier Ferret and Romaric Besançon. A Dataset for Open Event Extraction in English. In Proceedings of 10th Language Resources and Evaluation Conference, LREC 2016.
  18. Khai Mai, Sang Mai, Anh Nguyen, Linh Ngo, Khoat Than, “Enabling Hierarchical Dirichlet Processes to work better for short texts at large scale”, In Proceedings of PAKDD. Lecture Notes in Computer Science, Springer, 2016.


  1. Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Nguyen Tat Nguyen, “Effective and Interpretable Document Classification using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions”, In Proceedings of DASFAA. Lecture Notes in Computer Science, Springer, 2015.
  2. Linh Ngo Van, Anh Nguyen Kim and Khoat Than, “An effective NMF-based method for supervised dimension reduction”. In Proceedings of KSE. Advances in Intelligent Systems and Computing Volume 326, pages 93-104, 2015.
  3. Truong Hoang Linh, Bui Duy Khanh, Tran Viet Trung, “GPSInsights: Towards an efficient framework for storing and mining massive vehicle location data”, In Proceedings of the Sixth International Symposium on Information and Communication Technology. ACM, 2015.
  4. Nguyen, Binh Minh; Tran, Dang; Nguyen, Quynh, “A Strategy for Server Management to Improve Cloud Service QoS”. In Proceeding of 19th International Symposium on Distributed Simulation and Real Time Applications, IEEE/ACM, 2015.


  1. Khoat Than, Tu Bao Ho, and Duy Khuong Nguyen, “An effective framework for supervised dimension reduction”. Neurocomputing, vol .139, pages 397-407, 2014.
  2. Khoat Than and Tung Doan, “Dual online inference for latent Dirichlet allocation”. In ACML. Journal of Machine Learning Research: W&CP, vol. 39, pages 80-95, 2014.
  3. Anh Nguyen Kim, Toi Nguyen Khac and Linh Ngo Van, “An Interpretable Method for Text Summarization Based on simplicial Non-negative Matrix Factorization”, In Proceeding of the the 4th Symposium on Information and Communication Technology  (SoICT 2014), Hanoi, Vietnam, 2014.