Home » AI Researchs » Research Team » Intelligent Communication Networks

Introduction

Today, with many IoT devices and the development of Internet technologies, both wired and wireless connectivity play a crucial role in offering a wide range of services to end-users. Moreover, such communication and networking technologies have influenced individuals, institutions, governments, and industries. As a result, communication technologies have become an indispensable part of daily life. Recently, Machine Learning (ML) technologies have achieved breakthrough advances. When combined with communication technologies, the achievement in AI has created unique applications such as smart cities, self-driving cars, etc.

Our research group focuses on the study and development of high-speed, dependable, and flexible networking technologies, using theoretical and practical techniques to incorporate social, information, device, and energy factors. We study to leverage AI in enhancing and optimizing network performance. We’re also looking into solutions for analyzing and mining data collected by IoT devices. See the slides here for more detail.

Contact: Dr. Nguyen Phi Le, Email: lenp@soict.hust.edu.vn

Group website: http://icn.bkai.ai/

Research Directions

  • Network optimization: Exploiting machine learning, deep learning, reinforcement learning, meta-heurisctic techniques to optimize network performance.
  • Data mining in IoT networks: Focusing on processing, analyzing and mining data collected from IoT devices.
  • AI in networking: Applying various machine learning and deep learning techniques including graph networks, deep reinforcement learning, etc., to analyze and predict the network behavior. Leveraging AI in controlling network operations.
  • Distributed systems: Addressing different problems in distributed systems such as Synchronization, Replication and Consistency, Fault tolerance, etc.
  • New generation network: Solving problems of NGN in expanding the existing access network infrastructure into networks capable of satisfying the user’s requirements.
  • QoS-QoE: Proposing adaptive mechanisms to predict and optimize QoS/QoE in network systems.
  • Internet of Things: Addressing different issues of IoT systems such as security problems, lack of regulation, limited bandwidth, etc.

Research problems

  • Optimization problems in Wireless Rechargeable Sensor Networks: We focus on a new wireless charging paradigm that considers a variety of factors such as charging path, charging time, target coverage, and connectivity. Furthermore, our system considers various optimization goals, including minimizing the number of mobile chargers, optimizing the depot placement, and extending the network lifetime. To solve the problem, we go from theoretical modeling to applying state-of-the-art technologies. Specifically, we leverage reinforcement learning and deep reinforcement learning, fuzzy logic, genetic algorithms to propose novel charging algorithms for wireless rechargeable IoT networks.
  • Mobile air quality monitoring network: This research topic, part of the VinIF-funded Fi-Mi project (http://fi-mi.vn), presents a new mobile air quality monitoring network based on vehicle-mounted sensors. We explore various research issues, such as resource allocation, effective communication, data analysis, and data mining. The resource allocation problem is solved using optimization techniques such as reinforcement learning, fuzzy logic, and meta-heuristics. A mathematical model for opportunistic communication in mobile air quality monitoring networks is also proposed. We then leverage deep reinforcement learning for offloading data from devices to the servers. Finally, we use machine learning methodologies to calibrate the acquired data and propose deep learning models for spatiotemporal prediction problems.
  • Satellite precipitation calibration: We investigate a fascinating research problem that is how to calibrate the satellite precipitation data. Our method uses deep learning techniques to blend satellite data that is fine-grained but inaccurate with the coarse-but-accurate data from ground-based monitoring stations. We then leverage graph neural networks to model the spatial correlation between the ground-based monitoring stations. Besides, recurrent neural networks are utilized to capture the data’s temporal properties.
  • Prediction of water levels on rivers in Vietnam: This study focuses on data mining regarding river discharge and water levels in Vietnam. For hydrological research and flood prediction, forecasting river discharge and water levels have long been necessary. However, existing machine learning-based methods cope with severe flaws such as a lack of training data, noise in the obtained data, and the difficulty of altering the model’s hyper-parameters. In this research, we address at the same time these three challenges. Specifically, we apply data preprocessing techniques such as SSA to clean the data before feeding it into the forecasting models. Furthermore, we propose novel deep learning models that employ ensemble learning techniques and graph neural networks to capture both temporal and spatial correlation and extract relevant information from historical data. Furthermore, optimization techniques like metaheuristics are used to obtain the optimal hyper-parameters automatically.
  • Traffic prediction and intelligent routing: In this research, we study how to learn and predict networks’ future behavior dynamically. From that, we design algorithms to control the network operations efficiently and intelligently. Several research problems are taking into account, such as exploiting the Graph Neural Networks to capture the spatial relation of the network and then leveraging deep learning to predict the network traffic; using reinforcement learning to guide the packets; utilizing metaheuristic algorithms and linear programming to optimize the routing paths. We perform experiments on network simulators such as OMNET, NS2, and real datasets such as Brain, Abilene, and Geant.
  • Applying ML to Software-Defined Network =>  Knowledge-defined Network: Applying AI to the management of computer networks, making it to be a self-adaptive one. This means every network node will be an AI node, which is able to make decisions automatically. However, these network nodes have only a local view and a local control, hence, applying Artificial Intelligence to each network node is not trivial. For this purpose, a centralized control architecture, e.g. Software-defined Network (SDN), is a promising candidate. In this work, we decide to develop a knowledge layer on top of the SDN architecture, forming a Knowledge-defined Network.
  • Replication and consistency in heterogeneous and Distributed SDN networks: Proposing an East-West interface, called SINA, to provide the interoperability of a heterogeneous and distributed SDN network. In addition, a novel Reinforcement Learning-based consistency algorithm is introduced for an adaptive Quorum-based replication mechanism.
  • Applying Federated Learning to SDN: The learning phase of a multi-domain SDN network must address the following problems: both solutions of 1) learning separately in each domain and 2) collecting all data from different controllers and launching the training phase in a centralized server are not efficient due to the computational cost, training time, and the accuracy. That motivates us to apply Federated Learning, in which distributed SDN controllers cooperatively train a centralized learning model while do not share the training data for preserving data privacy.

Team Members

Dr. Nguyen Phi Le
Team Leader

Dr. Tran Hai Anh
Member

Assoc. Prof. Do Phan Thuan
Member

Dr. Nguyen Thanh Hung
Member

Assoc. Prof. Tran Quang Duc
Member

Projects and Solutions

[VINIF2020] Fi-Mi: A Fine-grained AI-based Mobile Air Quality Monitoring and Forecasting System

Latest Publications

Publications in 2025

  1. Hai-Anh Tran; Cong-Son Duong; Trong-Duc Bui; Van Tong; Huynh Thi Thanh Binh. GAMR: Revolutionizing Multi-Objective Routing in SDN Networks With Dynamic Genetic Algorithms. IEEE Transactions on Emerging Topics in Computational Intelligence. 15/02/2025
  2. Thai Nguyen, Trung Thanh NGUYEN, Tien Nguyen, Trung Nguyen Thanh, Hieu Pham, Thanh Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen. CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach. IEEE/CVF Winter Conference on Applications of Computer Vision. 28/02/2025
  3. Hai Anh Tran, Van Tong. ECODI: a novel evolutionary coreset distillation with LLM-assisted fitness evaluation for encrypted network traffics.. International Journal of Machine Learning and Cybernetics. 03/03/2025
  4. Son Dinh, Dung Nguyen, Duc-Tri Tran, Dang-Huy Pham-Nguyen, Thuan Hieu Tran, Tong Anh, Quang Huy Hoang, Phi Le Nguyen. Sign Language Recognition: A Large-scale Multi-view Dataset and Comprehensive Evaluation. IEEE/CVF Winter Conference on Applications of Computer Vision. 28/03/2025
  5. Nguyen Son Dinh, Tuan Dung Nguyen, Duc Tri Tran, Nguyen Dang Huy Pham, Thuan Hieu Tran, Ngoc Anh Tong, Quang Huy Hoang, and Phi Le Nguyen. Sign Language Recognition: A Large-scale Multi-view Dataset and Comprehensive Evaluation. WACV 2025– IEEE/CVF Winter Conference. 7876-7886. 28/01/2025
  6. Bach Vu, Hoang Nguyen, Quang Nguyen, Duong Le, Hieu Pham, Phi Le Nguyen, Lam Nguyen. Foundation Model and Temporal Priors-guided Transductive Few-shot Action Recognition. 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025). 06/04/2025
  7. Ryan E. Himes, Hai Anh Tran, Truong X. Tran. Leveraging Dynamic Graph Word Embedding for Efficient Contextual Representations. International Symposium on Information and Communication Technology (SOICT24). Da Nang, Vietnam. 13/12/2024
  8. Van Tong; Cuong Dao; Hai Anh Tran; Duc Tran; Huynh Thi Thanh Binh; Nam-Thang Hoang. Encrypted Traffic Classification Through Deep Domain Adaptation Network With Smooth Characteristic Function. IEEE Transactions on Network and Service Management. 331-343. 24/01/2025
  9. Son Duong, Truong X. Tran, Hai Anh Tran. ICARE: cross-domain text classification with incremental class-aware representation and distillation learning.. International Journal of Machine Learning and Cybernetics.. 15/02/2025

Publications in 2024

  1. Vedant S. Lanjewar; Hai-Anh Tran; Truong X. Tran. Layer-Wise Adaptive Weighting for Faster Convergence in Federated Learning. Information Reuse and Integration for Data Science (IRI 2024). San Jose, CA, USA. 07/08/2024
  2. Abhinav Vij, Hai-Anh Tran, Truong X. Tran. Trustable Network Intrusion Detection System Through Wisdomnet and Uncertainty Measures. Local Computer Networks Conference (LCN). Caen, Normandy, France. 08/10/2024
  3. Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang. Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques. The Thirty-eighth Annual Conference on Neural Information Processing Systems, NeurIPS 2024. 10/12/2024
  4. Dong Duc Anh Nguyen, Minh Hieu Nguyen, Phi Le Nguyen, Jun Jo, Hongzhi Yin, Thanh Tam Nguyen. Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs. The 20th International Conference on Advanced Data Mining and Applications 2024. 161–177. 03/12/2024
  5. T. K. Lai, and I. L. Ngo. An investigation on the thermo-electrohydraulic performance of novel ECF micro-pump.. International Journal of Heat and Mass Transfer. 29/09/2024
  6. Thanh Trung Huynh, Trong Bang Nguyen, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen. Certified Unlearning for Federated Recommendation. ACM Transactions on Information Systems. 22/11/2024
  7. Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang. Boosting Offline Optimizers with Surrogate Sensitivity. ICML. 1-10. áo. 21/07/2024
  8. Minh Khiem Pham, Phi Le Nguyen, Viet Hung Vu, Thao Nguyen Truong, Hoa Vo-Van, Thanh Ngo-Duc. A Data-driven Approach for High Accurate Spatiotemporal Precipitation Estimation", Neural Computing and Applications Journal. Neural Computing and Applications. 6099–6118. 13/12/2023
  9. Sikandar Ali Qalati, MengMeng Jiang, Samuel Gyedu, and Emmanuel Kwaku Manu. Do Strong Innovation Capability and Environmental Turbulence Influence the Nexus Between Customer Relationship Management and Business Performance?. Business Strategy and the Environment. 02/07/2024
  10. Van Tong, Cuong Dao, Hai-Anh Tran, Truong X. Tran, Sami Souihi. Enhancing BERT-based Language Model for Multi-Label Vulnerability Detection of Smart Contract in Blockchain. Journal of Network and Systems Management. 10/05/2024
  11. T. K. Lai, K. D. Tran, and I. L. Ngo. A numerical study on the thermo-electrohydrodynamic performance of ECF micro-pumps. Sustainability and Emerging Technologies for Smart Manufacturing. 29/04/2024
  12. Duc Long Nguyen, Phi Le Nguyen, Thao Nguyen Truong. Combating Quality Distortion in Federated Learning with Collaborative Data Selection. Pacific-Asia Conference on Knowledge Discovery and Data Mining. 1-6. Taiwan. 25/04/2024
  13. Van An Le, Nam Duong Tran, Phuong Nam Nguyen, Thanh Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen, Yusheng Ji. Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting. 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2024). 205-216. Mỹ. 27/05/2024
  14. Duy A. Nguyen, Trang H. Tran, Huy Hieu Pham, Phi Le Nguyen, Lam M. Nguyen. Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder. IEEE International Conference on Data Mining. 09/12/2024
  15. Viet Hung Vu, Duc Long Nguyen, Thanh Hung Nguyen, Nguyen Quoc Viet Hung, Phi Le Nguyen, Huynh Thanh Trung. Self-supervised air quality estimation with graph neural network assistance and attention enhancement. Neural Computing and Applications. 11171–11193. 21/02/2024
  16. Van Tong, Sami Souihi, Hai Anh Tran, Abdelhamid Mellouk. Troubleshooting Solution for Traffic Congestion Control. Journal of Network and Computer Applications. 16/06/2024
  17. Duong Nguyen, Phi Le Nguyen, Truong Nguyen, Hieu Pham, and Duc Tran. FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks. IEEE BigData. 15/12/2024
  18. Tuan Dung Nguyen; Ngoc Anh Tong; Binh P. Nguyen; Quoc Viet Hung Nguyen; Phi Le Nguyen; Thanh Trung Huynh. Hierarchical Federated Learning in MEC Networks with Knowledge Distillation. 2024 International Joint Conference on Neural Networks (IJCNN). 1-8. Yokohama, Japan. 30/06/2024
  19. Minh Hai Vu, Thanh Trung Nguyen, Thi Ha Ly Dinh, Phi Le Nguyen, Kien Nguyen. LoGra: an LSTM-DDPG Integrated MPQUIC Scheduler for Mobile Video Streaming. 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). 1-5. Washington, DC, USA. 07/10/2024
  20. Ha An Le , Trinh Van Chien , Van Duc Nguyen†,Wan Choi. Channel Analysis and End-to-End Design for Double RIS-Aided Communication Systems with Spatial Correlation and Finite Scatterers. IEEE Conference on Global Communications (GLOBECOM). 1561-1566. Kuala Lumpur, Malaysia. 03/08/2023
  21. JYE Tin, WW Tan, AA Bakar, MS Mahali, FF Lothai, NF Mohammad, SSA Hassan & KF Chin. A Conceptual Design of Sustainable Solar Photovoltaic (PV) Powered Corridor Lighting System with IoT Application. ICREEM 2022. 09/03/2024
  22. Minh Hieu Nguyen, Thanh Trung Huynh, Thanh Toan Nguyen, Phi Le Nguyen, Hien Pham, Jun Jo, Thanh Tam Nguyen. On-Device Diagnostic Recommendation with Heterogeneous Federated BlockNets. Science China Information Sciences. 1-17. 14/09/2024
  23. Van An Le, Duc Long Nguyen, Phi Le Nguyen, Yusheng Ji. Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training. 2024 33rd International Conference on Computer Communications and Networks (ICCCN). 1-9. Kailua-Kona, HI, USA. 29/07/2024
  24. Son Duong, Tuan Nguyen, Nam-Thang Hoang, Van Tong, Hai-Anh Tran, Giang Nguyen, Abdelhamid Mellouk, Truong Tran. Server and Route Selection Optimization for Knowledge-defined Distributed Network Based on Gambling Theory and LSTM Neural Networks. IEEE Global Communications Conference. 04/12/2023
  25. Tống Văn Vạn, Đồng Gang Thép, Chử Minh Hà, Trần Quang Đức. CẢI THIỆN BÀI TOÁN PHÁT HIỆN LỖ HỔNG ĐA NHÃN TRONG HỢP ĐỒNG THÔNG MINH SỬ DỤNG MÔ HÌNH NGÔN NGỮ LỚN. The National Conference on Fundamental and Applied IT Research (FAIR’2024). HỌC VIỆN CÔNG NGHỆ BƯU CHÍNH VIỄN THÔNG, HÀ NỘI. 08/08/2024
  26. Tuan Dung Nguyen, Thanh Trung Huynh, Minh Hieu Phan, Quoc Viet Hung Nguyen, Phi Le Nguyen. CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 10392–10407. 12/11/2024
  27. Van Tong, Dao Viet Cuong, Duc Tran. MULTICLONEBERT: A NOVEL SEMANTIC CODE CLONE DETECTION MECHANISM LEVERAGING GRAPH-BASED LARGE LANGUAGE MODEL. The National Conference on Fundamental and Applied IT Research (FAIR’2024). HỌC VIỆN CÔNG NGHỆ BƯU CHÍNH VIỄN THÔNG, HÀ NỘI. 08/08/2024
  28. Thanh Trung Nguyen; Minh Hai Vu; Thi Ha Ly Dinh; Phi Le Nguyen; Kien Nguyen. MuLeS: A Multi-Client Learning-Based MPQUIC Scheduler. IEEE Consumer Communications and Networking Conference, CCNC. 656-661. Las Vegas, USA. 06/01/2024
  29. Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen. Privacy-preserving explainable AI: a survey. Science China Information Sciences. 1-34. 07/08/2024
  30. Van Tong, Dong Le Van, Quynh Anh Vu, Tuan Anh Ngo, Tri Duc Phung, Van Trong Nguyen, Duc Tran. VNeSafe: Machine Learning-Assisted System for Detecting Malicious URLs and Spam Calls. JST: Smart Systems and Devices. 10-17. 14/03/2024
  31. Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer. Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024). 55-72. Vilnius, Lithuania. 08/09/2024
  32. Sikandar Ali Qalati, Domitilla Magni, and Faiza Siddiqui. Senior Management's Sustainability Commitment and Environmental Performance: Revealing the Role of Green Human Resource Management Practices.. Business Strategy and the Environment. 02/08/2024
  33. Cong-Son Duong, Hai-Anh Tran, Truong X. Tran. Continuous Select-And-Prune Incremental Learning for Encrypted Traffic Classification in Distributed SDN Networks. Local Computer Networks Conference (LCN). Normandy, France. 08/10/2024
  34. T. K. Lai, and I. L. Ngo. A new design and optimization of VD-ECF micro-pump: Advancements in electrohydraulic performance. Physics of Fluids. 29/07/2024
  35. Thanh Trung Nguyen, Minh Hai Vu, Thi Ha Ly Dinh, Thanh Hung Nguyen, Phi Le Nguyen, Kien Nguyen. FQ-SAT: A fuzzy Q-learning-based MPQUIC scheduler for data transmission optimization. Computer Communications. 107924. 08/08/2024
  36. HUNG PHAM, HUYEN HA, VAN TONG, DUNG HOANG, DUC TRAN, AND TUYEN NGOC LE. MAGECODE: Machine-Generated Code Detection Method Using Large Language Models. IEEE Access Journal. 190186 - 190202. 19/11/2024
  37. Thu Hang Phung; Binh P. Nguyen; Thanh Hung Nguyen; Quoc Viet Hung Nguyen; Phi Le Nguyen; Thanh Trung Huynh. A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning. 2024 International Joint Conference on Neural Networks (IJCNN). 1-8. Yokohama, Japan. 30/06/2024
  38. Van Tong, Cuong Dao, Thep Dong, Hai Anh Tran, Duc Tran and Truong X. Tran. POSTER: Multi-Block Fusion Mechanism for Multi-label Vulnerability Detection in Smart Contracts. The 19th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2024). 1955 - 1957. Singapore. 30/06/2024
  39. Huyen-Trang Le, Hai-Anh Tran, Truong X. Tran. Optimizing Edge-Cloud Server Selection: A Multi-Objective Deep Reinforcement Learning Approach. IEEE Cloud Summit 2024. 101-106. Washington D.C., USA. 27/06/2024
  40. Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen. Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention. Information Sciences. 1-23. 06/07/2024
  41. T. K. Lai, and I. L. Ngo. An investigation on the electrohydraulic performance of novel ECF micro-pump with NACAshaped electrodes. Theoretical and Computational Fluid Dynamics. 29/02/2024
  42. Trung Thanh Nguyen, Phi Le Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide. Zero-Shot Pill-Prescription Matching With Graph Convolutional Network and Contrastive Learning. IEEE Access. 55889 - 55904. 13/04/2024
  43. Van Tong, Dong Le Van, Quynh Anh Vu, Tuan Anh Ngo, Tri Duc Phung, Van Trong Nguyen, Duc Tran. VNeSafe: Machine Learning-Assisted System for Detecting Malicious URLs and Spam Calls. Journal of Science and Technology Technical Universities. 010-017. 14/03/2024
  44. Hai-Anh Tran, Duc Tran. FL4SDN: A Fast-Convergent Federated Learning for Distributed and Heterogeneous SDN. IEEE Intelligent Systems. 1-12. 30/08/2024
  45. Khanh Nguyen Quoc, Van Tong, Cuong Dao, Tuyen Ngoc Le, Duc Tran. Boosted regression for predicting CPU utilization in the cloud with periodicity. Journal of Supercomputing. 26036-26060. 11/08/2024
  46. Tuan Nguyen, Hoang Ngo, Trung Pham, Nam-Thang Hoang, Van Tong, Hai-Anh Tran, Giang Nguyen, Abdelhamid Mellouk, Truong Tran. Multi Service-Oriented Routing Mechanism for Heterogeneous Multi-Domain Software-Defined Networking. IEEE Global Communications Conference. Kuala Lumpur, Malaysia. 04/12/2023
  47. Quang Huy Do, Sami Souihi, Van Tong, Hai Anh Tran, Sara Tucci-Piergiovanni. An Adaptive Sharding-based Blockchain for Network Slicing in 5G. IEEE Global Communications Conference. Kuala Lumpur. 04/12/2023

Publications in 2023

  1. Hai-Nam Nguyen, Sami Souihi, Hai-Anh Tran, Scott Fowler. A Blockchain-based SDN East/West Interface. 2022 IEEE Global Communications Conference (Globecom). Rio de Janeiro, Brazil. 04/12/2022
  2. Nam Duong Tran, Manh Cuong Dao, Thanh Hung Nguyen, Thi Ha Ly Dinh, Kien Nguyen, Phi Le Nguyen. A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems. aciids. 436–448. 29/09/2023
  3. Nguyễn Đức Ca, Phan Thị Thu, Hoàng Thị Minh Anh, Phạm Ngọc Dương, Nguyễn Hoàng Giang, Nguyễn Lệ Hằng. Nâng cao hiệu quả quản trị đại học trong bối cảnh đổi mới giáo dục tại Việt Nam. Tạp chí khoa học giáo dục Việt Nam. 14/03/2023
  4. Nam Thang Hoang, Tran Le Tuan Nguyen, Cong Son Duong, Van Tong, Hai Anh Tran. Phân loại luồng dữ liệu dựa trên học chuyển giao đa nguồn trong hệ thống mạng SDN phân tán. Journal of Science and Technology on Information security. 11/10/2023
  5. Quang Ha Pham, Nang Hung Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Phi Le Nguyen, Truong Thao Nguyen. SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning. CANDAR. 1-8. nagoya. 28/11/2023
  6. Ha An Le, Trinh Van Chien, Van Duc Nguyen, Wan Choi. Double RIS-Assisted MIMO Systems Over Spatially Correlated Rician Fading Channels and Finite Scatterers. IEEE Transactions on Communications. 4941-4956. 13/05/2023
  7. Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do. FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training. IEEE Transactions on Network and Service Management. 1-20. 01/09/2023
  8. Anh Duy Nguyen, Thu Hang Phung, Thuy Dung Nguyen, Huy Hieu Pham, Kien Nguyen, Phi Le Nguyen. GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices. Engineering Applications of Artificial Intelligence. 1-30. 09/11/2023
  9. Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen. CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge Distilled Regularization. 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid). 1-9. 01/05/2023
  10. Sikandar Ali Qalati, Belem Barbosa, and Blend Ibrahim. Factors influencing employees’ eco-friendly innovation capabilities and behavior: the role of green culture and employees’ motivations. Environment, Development and Sustainability. 02/10/2023
  11. Hoang Quan Pham, Manh Cuong Pham, Thanh Hung Nguyen, Phi Le Nguyen, Van Chien Trinh. A Q-Learning-based Energy Efficiency Optimization in LoRa Networks. soict 2023. 312–318. tphcm. 08/12/2023
  12. Huyen Ha, Duc Tran, Dukyun Kim. Black-Box Adversarial Attacks Against Language Model Detector. Proceedings of the 12th International Symposium on Information and Communication Technology. 754 - 760. TP HCM. 06/12/2023
  13. Cuong Dao, Van Tong, Nam-Thang Hoang, Hai-Anh Tran, Truong X. Tran. Enhancing Encrypted Traffc Classifcation with Deep Adaptation Networks. IEEE Conference on Local Computer Networks. 08/10/2023
  14. Huynh Thanh Trung, Nguyen Minh Hieu, Nguyen Thanh Tam, Phi Le Nguyen, Weidlich Matthias, Nguyen Quoc Viet Hung, Aberer Karl. Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction. The 16th ACM International WSDM Conference 2023. 850–858. 27/02/2023
  15. Giang Nguyen, Thi Ha Ly Dinh, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen. A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices. ACIIDS, Lecture Notes in Computer Science. 74-86. 05/09/2023
  16. Tung Bui, Duc Tran, Nguyen Linh Giang, Hien Nguyen, Thanh Nguyen, Khanh Nguyen. A Machine Learning-Based Framework for Detecting Malicious HTTPS Traffic. SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology. 769-776. 07/12/2023
  17. Xuan Cuong Do, Hoang Dang Nguyen, Nhat Hai Nguyen, Thanh Hung Nguyen, Hieu Pham, Phi Le Nguyen. A Novel Approach for Extracting Key Information from Vietnamese Prescription Images. SoICT 2023. 539–545. TPHCM. 08/12/2023
  18. Sikandar Ali Qalati, Sonia Kumari, Kayhan Tajeddini, Namarta Kumari Bajaj, and Rajib Ali. Innocent devils: The varying impacts of trade, renewable energy and financial development on environmental damage: Nonlinearly exploring the disparity between developed and developing nations. Journal of Cleaner Production. 02/02/2023
  19. Minh Quang Le, Nguyen Nang Hung, Kien Nguyen, Phi Le Nguyen, Phan Thuan Do. Perpetual Sensor Networks with the Minimum Number of Mobile Chargers. Soict 2023. 282–288. tphcm. 08/12/2023
  20. Wu Qinqin, Sikandar Ali Qalati, Rana Yassir Hussain, Hira Irshad, Kayhan Tajeddini, Faiza Siddique, Thilini Chathurika Gamage. The effects of enterprises' attention to digital economy on innovation and cost control: Evidence from A-stock market of China. Journal of Innovation & Knowledge. 02/12/2023
  21. Hoang Nam Thang, Van Tong, Hai Anh Tran, Cong Son Duong, Tran le Tuan Nguyen. LSTM-based server and route selection in distributed and heterogeneous SDN Network. Journal of Computer Science and Cybernetics. 1-21. 28/02/2023
  22. Van An Le, Yusheng Ji, Huu Huy Tran, Phi Le Nguyen, John C.S. Lui. Achieving Multi-Time-Step Segment Routing via Traffic Prediction and Compressive Sensing Techniques. IEEE Transactions on Network and Service Management. 1-1. 12/11/2023
  23. Tue Cao, Nhat Tran, Le Nguyen, Hung Nguyen, Hieu Pham. IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitaion mechanism in ECG analysis. soict 2023. 578–584. tphcm. 08/12/2023
  24. Nam-Thang Hoang, Cong-Son Duong, Minh-Ngoc Vu, Huy-Hieu Nguyen, Truong X. Tran, Van Tong, Hai-Anh Tran. A New Transfer Learning-Based Traffic Classification Algorithm for a Multi-Domain SDN Network. International Symposium On Information and Communication Technology (SOICT). 07/12/2023
  25. Quang Viet Ly, Ngoc Anh Tong, Bo-Mi Lee, Minh Hieu Nguyen, Huynh Thanh Trung, Phi Le Nguyen, Thu-Huong T. Hoang, Yuhoon Hwang, Jin Hur. Improving algal bloom detection using spectroscopic analysis and machine learning: A case study in a large artificial reservoir, South Korea. Science of the Total Environment. 166467 (1-14). 01/08/2023
  26. Thanh Trung Nguyen, Minh Hai Vu, Phi Le Nguyen, Phan Thuan Do, Kien Nguyen. A Q-learning-based Multipath Scheduler for Data Transmission Optimization in Heterogeneous Wireless Networks. IEEE Consumer Communications & Networking Conference (CCNC 2022). 1-6. 08/01/2023
  27. Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Thao Nguyen Truong, Phi Le Nguyen. High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion. plos one. 1-20. 07/09/2023
  28. Thuy Dung Nguyen, Anh Duy Nguyen, Thanh-Hung Nguyen, Kok-Seng Wong; Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen. FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. 2023 International Joint Conference on Neural Networks (IJCNN). 1-8. Australia. 18/06/2023
  29. Sikandar Ali Qalati , Belem Barbosa & Shuja Iqbal. The effect of firms’ environmentally sustainable practices on economic performance. Economic. Economic Research-Ekonomska Istraživanja. 02/06/2023
  30. Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa D. Doan, Kok-Seng Wong. Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions. Engineering Applications of Artificial Intelligence. 1-20. 04/09/2023
  31. Nguyen Thanh Long, Tran Thi Huong, Nguyen Ngoc Bao, Huynh Thi Thanh Binh, Phi Le Nguyen, Kien Nguyen. Q-learning-based Distributed Multi-Charging Algorithm for Large-scale WRSNs. Nonlinear Theory and Its Applications, IEICE. 18–34. 01/01/2023
  32. Hoang Dang Nguyen, Dinh Nguyen Vu, Viet Anh Nguyen, Tien Dong Nguyen, Phi Le Nguyen. A Robust Document Localization Solution with Segmentation and Clustering. he 36th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2023). 1-9. 01/02/2023
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