• Duc-Thao Do , Tien-Dung Cao , Hien Tran , Huy Quoc Le, “Optimizing GANs using Relativistic Discriminator with Margin Losses for Semi-supervised Learning“, SOICT ’23: Proceedings of the 12th International Symposium on Information and Communication Technology, Association for Computing Machinery Pulisher. https://doi.org/10.1145/3628797.3628992


  • Cao Tien Dung, Truong Hong Linh, Truong Huu tram, Nguyen Minh Tri, “Enabling Awareness of Quality of Training and Costs in Federated Machine Learning Marketplaces”, Conference: 15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC2022) At: Vancouver, Washington, USA. https://doi.org/10.1109/UCC56403.2022.00015
  • Tri-Loc Vu, Thai-Dien Pham, Tri-Tai Truyen, Quang-Minh Mai, Thuan Huynh, Trung-Thong Hoang, My-Linh Phan Khanh, Cam-Tu Tran Thi, Dung-Ho Dung Ho, Thach Nguyen, “Quantifying Coronary Arterial Stenosis and Measuring the Arterial Phase by Artificial Intelligence Program”, Journal of the American College of Cardiology.
  • The-Anh Ta,  Hoang Pham, Tuc Nguyen, Dung D. Le, Long Tran-Thanh, “Pruning Deep Equilibrium Models”, SNN Workshop 2022.
  • Hong-Linh Truong, Tram Truong-Huu, Tien-Dung Cao, “Making Distributed Edge Machine Learning for for Resource-Constrained Communities and Environments Smarter: Contexts and Challenges“, Journal of Reliable Intelligent Environments (Accepted).
  • Tien-Dung Cao, Tram Truong-Huu, Hien Tran, Khanh Tran A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency, Journal of Systems Architecture, Volume 124, March 2022, 102413


  • Thai-Dien, Pham., Thien-Lac, Ho., Tram, Truong-Huu., Tien-Dung, Cao., Hong-Linh, Truong. (2021). MAppGraph: Mobile-App Classification on Encrypted Network Traffic using Deep Graph Convolution Neural Networks, Annual Computer Security Applications Conference 2021.
  • Tran, Vu Khanh and Pham, Trong Tien. (2021). Bergman–Toeplitz Operators Between Weighted $$L^p$$-Spaces on Weakly Pseudoconvex Domains. The Journal Of Geometric Analysis. 31(202), 4612-4640. https://doi.org/10.1007/s12220-020-00446-7 PDF
  • Pham, Uyen., Luu, Quoc., Tran, Hien. (2021). Multi-agent reinforcement learning approach for hedging portfolio problem. Soft Computhttps://doi.org/10.1007/s00500-021-05801-6PDF

  • Tran, Vu Khanh and Andrew Raich. (2021). L^p-Estimates for the D-bar_b-equation on a class of infinite type domains. Mathematische Nachrichten. 294(1), 82-97.  https://doi.org/10.1002/mana.201900282. PDF


  • Tran, Anh Tuan., Cao, Tien-Dung., & Truong, Huu-Tram. (2019). DIRAC: A Hybrid Approach To Customer Demographics Analysis For Advertising Campaigns. 2019 6Th NAFOSTED Conference On Information And Computer Science (NICS), 2019. IEEE, doi:10.1109/nics48868.2019.9023806. PDF
  • Nguyen TP., Van TD., Le NT., Mai TT., Nguyen-An K. (2019). An Intensive Empirical Study of Machine Learning Algorithms for Predicting Vietnamese Stock Prices. In: Le Thi H., Le H., Pham Dinh T., Nguyen N. (eds) Advanced Computational Methods for Knowledge Engineering. ICCSAMA 2019. Advances in Intelligent Systems and Computing, vol 1121. Springer, Cham