international

journal

2024
  • Trung Thanh Nguyen, Phi Le Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, and Ichiro Ide, "Zero-shot pill-prescription matching with graph convolutional network and contrastive learning," IEEE Access
2022
  • Trung Thanh Nguyen, Phi Le Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, and Ichiro Ide, "Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing," IEEE Transactions on Network and Service Management

conference

2025
  • Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John, Takahiro Komamizu, and Ichiro Ide, "MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion," In Proceedings of the 19th IEEE International Conference on Automatic Face and Gesture Recognition
  • Dac Thai Nguyen, Trung Thanh Nguyen, Huu Tien Nguyen, Thanh Trung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Truong Thao Nguyen, and Phi Le Nguyen, "CT to PET translation: A large-scale dataset and domain-knowledge-guided diffusion approach," In Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision
2024
  • Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, and Ichiro Ide, "Action Selection Learning for Multi-label Multi-view Action Recognition," In Proceedings of the 6th ACM International Conference on Multimedia in Asia
  • Manh Duong Nguyen, Trung Thanh Nguyen, Huy Hieu Pham, Trong Nghia Hoang, Phi Le Nguyen, and Thanh Trung Huynh, "FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization," In Proceedings of the 22nd IEEE International Symposium on Network Computing and Applications
  • Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen, Manh Duong Nguyen, Trong Nghia Hoang, Truong Thao Nguyen, and Phi Le Nguyen, "FedCert: Federated Accuracy Certification," In Proceedings of the 22nd IEEE International Symposium on Network Computing and Applications
  • Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, and Ichiro Ide, "One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-Scale and Action Label Features," In Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition
2022
  • Trung Thanh Nguyen, Hoang Dang Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Ichiro Ide, and Phi Le Nguyen, "A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning," In Proceedings of the 2022 Pacific Rim International Conference on Artificial Intelligence
  • Nang Hung Nguyen, Phi Le Nguyen, Thuy Dung Nguyen, Trung Thanh Nguyen, Duc Long Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, and Thao Nguyen Truong, "FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning," In Proceedings of the 51st International Conference on Parallel Processing
  • Hieu Dinh, Nang Hung Nguyen, Trung Thanh Nguyen, Thanh Hung Nguyen, Truong Thao Nguyen, and Phi Le Nguyen, "Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks," In Proceedings of the 2022 IEEE Wireless Communications and Networking Conference
2021
  • Dinh Tan Nguyen, Cao Truong Tran, Trung Thanh Nguyen, Cao Bao Hoang, Van Phu Luu, Ba Ngoc Nguyen, and Pou Ian Cheong, "Data Augmentation for Small Face Datasets and Face Verification by Generative Adversarial Networks Inversion," In Proceedings of the 13th International Conference on Knowledge and Systems Engineering
  • Trung Thanh Nguyen, Truong Thao Nguyen, Tuan Anh Nguyen Dinh, Thanh Hung Nguyen, and Phi Le Nguyen, "Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems," In Proceedings of the 2021 IEEE International Performance, Computing, and Communications Conference