L o a d i n g

Short Bio

Phi Le Nguyen received her B.E. and M.S. degrees from the University of Tokyo in 2007 and 2010, respectively. She received her Ph.D. in Informatics from The Graduate University for Advanced Studies, National Institute of Informatics, Tokyo, Japan in 2019. Currently, she is an Associate Professor at the School of Information and Communication, Hanoi University of Science and Technology, Vietnam. Her research interests include network architectures, applied AI in various domains such as smart healthcare, environement, and next generation networks.

Education

  • 2016-2019: Ph.D., Informatics, The Graduate University for Advanced Studies (SOKENDAI) in Alliance with Japan National Institute of Informatics
  • 2007-2010: M.S., Frontier Informatics, The University of Tokyo
  • 2003-2007: B.E., Information and Communication Engineering, The University of Tokyo

Grants

  1. “Fi-Mi: A Fine-grained AI-based Mobile Air Quality Monitoring and Forecasting System”, VINIF.2020.DA09, A grant from VINIF for 2 years (PI), 2019-2021
  2. “Exploiting Discrete Structures in Performance Optimization of Autonomous Networks”, 102.01-2019.302, A grant from NAFOSTED for 2 years (PI), 2019-2021
  3. “An effective resource scaling solutions for IoT services with dynamic characteristics in cloud computing and edge computing”, B2020-BKA-13, A grant from Vietnam Ministry of Education for 2 years (PI), 2019-2021
  4. “Towards energy unlimited IoT networks by nature-inspired algorithms”, 102.01-2019.304, A grant from NAFOSTED for 2 years (member), 2019-2021
  5. “Vietnamese OCR recognition model development”, A grant from NAVER corporation for 1 year (member), 2021-2022
  6. “VAIPE: AI-assisted IoT-enabled personalized health care monitoring and supporting system for Vietnamese”, VINIF.2021.DA128, A grant from VINIF for 3 years (Member), 2021-2024
  7. “Discrete structures and Applications”, 102.01-2020.23, A grant from NAFOSTED for 2 years (member), 2020-2022
  8. “Vietnamese Handwriting OCR recognition dataset and model development”, NAVER.2022.07, A grant from A grant from NAVER corporation for 1 year (I), 2022-2023
  9. “Proactive Carbon Farming with AI and Digital Twins for Sustainable Agriculture in Thanh Hoa Province”, A grant from A grant from Aus4Innovation (Co-PI), 2024-2026

Honors and Awards

  • Best paper award at EUC 2024.
  • Best paper award at CANDAR 2024.
  • Best lecturer of the year 2023-2024 awarded by HUST.
  • Best paper nominated by CCGRID 2023.
  • 2023 APEC-Australia Women in Research Fellowship.
  • NII best student award in 2018.
  • Best paper award at ICT-DM 2018.
  • Student award at Japan SINET Ideathon competition, 2018.
  • Monbusho (Monbukagakusho) scholarship for a three-year PhD program offered by Japanese Government, 2016.
  • Best paper award at SoICT 2015.
  • Best paper award at ISSNIP 2014.
  • Monbusho (Monbukagakusho) scholarship for a two-year M.S program offered by Japanese Government, 2007.
  • Monbusho (Monbukagakusho) scholarship for a four-year B.S program offered by Japanese Government, 2002.

Transaction papers

2024

  • 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, 2024.
  • 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 Journal, 2024.
  • Toan Nguyen, Minh Hieu Nguyen, Thanh Trung Huynh, Phi Le Nguyen, Hien Pham, Thanh Tam Nguyen, “On-Device Diagnostic Recommendation with Heterogeneous Federated BlockNets”, Science China Information Sciences, 2024.
  • Thanh Tam Nguyen, Thanh Trung Huynh, Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, “Privacy-Preserving Explainable AI: A Survey”, Science China Information Sciences, 2024.
  • Darnbi Sakonga, 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, 2024.
  • Trung Thanh Nguyen, Phi Le Nguyen, Yasutomo Kawanishi, Takahiro Komanishi, Takahiro, Ichiro Ide, “Zero-shot Pill-Prescription Matching with Graph Convolutional Network and Contrastive Learning”, IEEE Access, 2024.
  • Pham Minh Khiem, Phi Le Nguyen, Vu Viet Hung, Truong Thao Nguyen, Vo-Van Hoa, and Thanh Ngo-Duc, “A Data-driven Approach for High Accurate Spatiotemporal Precipitation Estimation”, Neural Computing and Applications Journal (NCAA), 2024.
  • Viet Hung Vu, Duc Long Nguyen, Thanh Hung Nguyen, Nguyen Quoc Viet Hung, Phi Le Nguyen, and Huynh Thanh Trung, “Self-supervised air quality estimation with graph neural network assistance and attention enhancement,” Neural Computing and Applications Journal (NCAA), 2024.
  • Phi Le Nguyen et al., “GAMMA: a Universal Model for Calibrating Sensory Data of Multiple Low-Cost Air Monitoring Devices”, Engineering Applications of Artificial Intelligence (EAAI), 2024.

2023

  1. 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, 2023.
  2. Phi Le Nguyen et al., “High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion”, PLoS One, 2023.
  3. Phi Le Nguyen et al., “Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions”, Engineering Applications of Artificial Intelligence (EAAI), 2023.
  4. Phi Le Nguyen et al., “Attentional Ensemble Model for Accurate Discharge and Water Level Prediction with Training Data Enhancement”, Engineering Applications of Artificial Intelligence (EAAI), 2023.
  5. Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen and 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, 2023.
  6. 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, 22 August 2023, 166467.

2022

  1. Phi Le Nguyen et al., “Accurate Discharge and Water Level Forecasting Using Ensemble Learning with Genetic Algorithm and Singular Spectrum Analysis-based Denoising”, 2022, Scientific Reports, 12(1), p.19870.
  2. Nguyen Thanh Long, Tran Thi Huong, Nguyen Ngoc Bao, Huynh Thi Thanh Binh, Phi Le Nguyen, and Kien Nguyen, “Q-learning-based Distributed Multi-Charging Algorithm for Large-scale WRSNs”, 2023, Nonlinear Theory and Its Applications, IEICE, 14(1), pp.18-34.
  3. Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Trung Huynh, Viet Hung Vu, Phi Le Nguyen, Jun Jo, Quoc Viet Hung Nguyen, “Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks”, Transactions on Information Systems, 2022, ACM Transactions on Information Systems, 41(3), pp.1-24.
  4. Hiroaki Motohashi, Phi Le Nguyen, Kien Nguyen , Hiroo Sekiya, “Implementation of P4-based Schedulers for Multipath Communication”, IEEE Access, 2022, 10, pp.76537-76546.
  5. Trung Thanh Nguyen, Truong Thao Nguyen, Thanh Hung Nguyen, Phi Le Nguyen, “Fuzzy Q-learning-based Opportunistic Communication for MEC-enhanced Vehicular Crowdsensing”, IEEE Transactions on Network and Service Management, 1932-4537, 2022.
  6. La Van Quan, Minh Hieu Nguyen, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen, “On the Global Maximization of Network Lifetime in Wireless Rechargeable Sensor Networks”, ACM Transaction on Sensor Networks, 22022, , 18(4), pp.1-29.

2021

  1. Viet Dung Nguyen, Phi Le Nguyen, Kien Nguyen, Phan Thuan Do, “Constant Approximation for Opportunistic Sensing in Mobile Air Quality Monitoring System”, Computer Networks Journal, 2021, 202, p.108646.
  2. Thuy Dung Nguyen, Tuyen Nguyen, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen, “Joint Optimization of Charging Location and Time for Network Lifetime Extension in WRSNs”, IEEE Transactions on Green Communications and Networking, 2021, , 6(2), pp.1186-1197.
  3. Tran Thi Huong, Le Van Cuong, Ngo Minh Hai, Phi Le Nguyen, Le Trong Vinh, Huynh Thi Thanh Binh, “A bi-level optimized charging algorithm for energy depletion avoidance in wireless rechargeable sensor networks”, Applied Intelligence, 2021, pp.1-23.
  4. Phi Le Nguyen, Nang Hung Nguyen, Tuan Anh Nguyen Dinh, Khanh Le, Thanh Hung Nguyen, Kien Nguyen, “QIH: an Efficient Q-learning Inspired Hole-Bypassing Routing Protocol for WSNs”, IEEE Access, 9, pp.123414-123429.
  5. Van Quan La, Anh Duy Nguyen, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen, “An On-demand Charging for Connected Target Coverage in WRSNs using Fuzzy Logic and Q-learning”, MDPI Sensors, 2021, 21(16), p.5520.
  6. Kien Nguyen, Phi Le Nguyen, Li Zhe-tao, Hiroo Sekiya, “Empowering 5G Mobile Devices with Network Softwarization”, IEEE Transactions on Network and Service Management, 2021, 18(3), pp.2492-2501
  7. Minh Hieu Nguyen, Phi Le Nguyen, Kien Nguyen, Van An Le, Thanh-Hung Nguyen, Yusheng Ji, “PM2.5 Prediction Using Genetic Algorithm-based Feature Selection and Encoder-Decoder Model”, IEEE Access, 2021, 9, pp.57338-57350.
  8. Van Nguyen, Chi-Hieu Nguyen, Phi Le Nguyen, Tien Van Do, Imrich Chlamtac, “Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks”, Wireless Networks, 2021, 27(4), pp.3073-3089.
  9. Phi Le Nguyen, Yusheng Ji, Minh Khiem Pham, Hieu Le, Thanh Hung Nguyen, “(1+epsilon)2– and Polynomial-Time Approximation Algorithms for Network Lifetime Maximization with Relay Hop Bounded Connected Target Coverage in WSNs”, IEEE Sensors Journal, 2021, 21(7), pp.9577-9599.

2020

  1. Phi Le Nguyen, Thanh Hung Nguyen, Kien Nguyen, “A Path-Length Efficient, Low-Overhead, Load-Balanced Routing Protocol for Maximum Network Lifetime in Wireless Sensor Networks with Holes”, MDPI Sensors, 20(9), 2020.

2019

  1. Phi Le Nguyen, Nguyen Thi Hanh, Nguyen Tien Khuong, Huynh Thi Thanh Binh, Yusheng Ji, “Node placement for connected target coverage in wireless sensor networks with dynamic sinks”, Pervasive and Mobile Computing, Volume 59, 2019.
  2. Phi Le Nguyen, Kien Nguyen, Huy Vu, Yusheng Ji, “TELPAC: A Time and Energy Efficient Protocol for Locating and Patching Coverage Holes in WSNs”, Journal of Network and Computer Applications, Volume 147, 1 December 2019, 102439.

Conference papers

2025

  1. 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 Main Tracks).
  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 (WACV 2025) (Accepted).
  3. 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 (WACV 2025) (Accepted).

2024

  1. Le Anh Duc Vu, Minh Hai Vu, Bao Ngoc Tran, Minh Tung Hoang, Duc Anh Nguyen, Minh Quan Hoang, Phi Le Nguyen, “An Automated PM2.5 Analysis and Prediction System with Encoder-Decoder Architecture and Continual Learning Mechanism”, the 22nd IEEE International Conference on Embedded and Ubiquitous Computing (EUC 2024) (Best paper award).
  2. Duong Nguyen, Phi Le Nguyen, Truong Nguyen, Hieu Pham, and Duc Tran, “FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks”, IEEE BigData 2024 (Accepted).
  3. 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”, The 22nd International Symposium on Network Computing and Applications (NCA 2024) (Accepted).
  4. 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”, The 22nd International Symposium on Network Computing and Applications (NCA 2024) (Accepted).
  5. 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 (Accepted).
  6. 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”, The 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP (Accepted).
  7. 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 (Accepted).
  8. Phi Le Nguyen et al., “Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder”, ICDM 2024 (Accepted).
  9. 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”, VTC 2024 (Accepted).
  10. 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).
  11. 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”, The 33rd International Conference on Computer Communications and Networks (ICCCN 2024).
  12. Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang, “Boosting Offline Optimizers with Surrogate Sensitivity”, The 41st International Conference on Machine Learning (ICML 2024).
  13. Tuan Dung Nguyen, Ngoc Anh Tong, Viet Hung Nguyen, Phu Binh Nguyen, Phi Le Nguyen, Trung Huynh, “Hierarchical Federated Learning in MEC Networks with Knowledge Distillation”, the International Joint Conference on Neural Networks (IJCNN 2024).
  14. Thu Hang Phung, Thanh Hung Nguyen, Viet Hung Nguyen, Phu Binh Nguyen, Phi Le Nguyen, Trung Huynh, “A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning”, the International Joint Conference on Neural Networks (IJCNN 2024).
  15. Duc Long Nguyen, Thao Nguyen Truong, Phi Le Nguyen, “Combating Quality Distortion in Federated Learning with Collaborative Data Selection”, 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024).
  16. 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).
  17. 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 & Networking Conference (CCNC), 2024.
  18. Quang Ha Pham, Nguyen Nang Hung, Hieu Pham, Nguyen Thanh-Hung, Truong Thao Nguyen, Phi Le Nguyen, “SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning”, The Eleventh International Symposium on Computing and Networking (CANDAR), 2024 (Best paper reward).

2023

  1. Xuan Cuong Do, Hoang Dang Nguyen, Nhat Hai Nguyen, Thanh Hung Nguyen, Hieu Pham and Phi Le Nguyen, “A Novel Approach for Extracting Key Information from Vietnamese Prescription Images”, SoICT 2023.
  2. Minh Quang Le, Nguyen Nang Hung, Kien Nguyen, Phi Le Nguyen and Phan Thuan Do, “Perpetual Sensor Networks with the Minimum Number of Mobile Chargers”, SoICT 2023.
  3. Tue Cao, Nhat Tran, Phi Le Nguyen, Hung Nguyen and Hieu Pham, “IncepSE: Leveraging InceptionTime’s performance with Squeeze and Excitaion mechanism in ECG analysis”, SoICT 2023.
  4. Hoang Quan Pham, Manh Cuong Pham, Thanh Hung Nguyen, Phi Le Nguyen and Van Chien Trinh, “A Q-learning-based Energy Efficiency Optimization in LoRa Networks”, SoICT 2023.
  5. Minh Tu Le, Bao Thang Ta, Nhat Minh Le, Phi Le Nguyen and Van Hai Do, “A Gaussian Distribution Labeling Method for Speech Quality Assessment”, CSoNet 2023.
  6. Haruki Kurisaka, Phi Le Nguyen, Kien Nguyen, Hiroo Sekiya, “An Evaluation of IoT Device Performance in Ethereum-based IoT System”, 2023 RIVF International Conference on Computing and Communication Technologies (RIVF).
  7. Hoang Dang Nguyen, Dinh Nguyen Vu, Viet Anh Nguyen, Tien Dong Nguyen, and Phi Le Nguyen, “A Robust Document Localization Solution with Segmentation and Clustering”, The 36th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2023).
  8. Giang Nguyen, Thi Ha Ly Dinh, Thanh Hung Nguyen, Kien Nguyen, and Phi Le Nguyen, “A Data-driven Scheduling Strategy for Mobile Air Quality Monitoring Devices”, 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2023).
  9. Nam Duong Tran, Manh Cuong Dao, Thanh Hung Nguyen, Dinh Thi Ha Ly, Kien Nguyen, and Phi Le Nguyen, “A Deep Reinforcement Learning-based Multi-Objective Optimization for Crowdsensing-based Air Quality Monitoring Systems”, 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2023).
  10. Phi Le Nguyenet al., FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection, International Joint Conference on Neural Networks (IJCNN 2023).
  11. Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Hieu Pham, Truong Thao Nguyen and Phi Le Nguyen, “CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge Distilled Regularization”, The 23nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023) (Best paper finalist).

2022

  1. 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.
  2. Thu Hang Phung, Duc Long Nguyen, Viet Hung Vu, Thanh Trung Huynh, Thanh Hung Nguyen and Phi Le Nguyen, “Unsupervised Air Quality Interpolation with Attentive Graph Neural Network”, SoICT 2022.
  3. Minh Hai Vu, Giang T. T. Nguyen, Hai Dang Tran, Thanh Trung Nguyen, Phan Thuan Do, Phi Le Nguyen, Kien Nguyen, “An Empirical Study of MPQUIC Schedulers in Mobile Wireless Networks”, SoICT 2022.
  4. 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).
  5. Duc-Huy Pham, Quang-Anh Do, Thanh Thi-Hien Duong, Thi-Lan Le, Phi Le Nguyen, “End-to-end Visual-guided Audio Source Separation with Enhanced Losses”, The 14th annual conference organized by Asia-Pacific Signal and Information Processing Association (APSIPA 2022).
  6. Trong-Tung Nguyen, Hieu H. Pham, Phi Le Nguyen, Thanh Hung Nguyen, and Minh Do, “Multi-stream Fusion for Class Incremental Learning in Pill Image Classification”, The 16th Asian Conference on Computer Vision (ACCV2022).
  7. Trung Thanh Nguyen, Hoang Dang Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Ichiro Ide, Phi Le Nguyen, “A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning”, The 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2022).
  8. Ngoc Bui, Phi Le Nguyen, Viet Anh Nguyen, Phan Thuan Do, “A Deep Reinforcement Learning-based Adaptive Charging Policy for WRSNs”, The 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2022).
  9. Anh Duy Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Phi Le Nguyen, “Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance”, 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS), 2022.
  10. Nang Hung Nguyen, Phi Le Nguyen, Duc Long Nguyen, Trung Thanh Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Truong Thao Nguyen, “FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning”, 51st International Conference on Parallel Processing (ICPP), 2022.
  11. Hung Cuong Nguyen, Manh Cuong Dao, Thanh Trung Nguyen, Ngoc Khanh Doan, Thanh Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen, “Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs”, The 2022 Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), 2022.
  12. Minh Hieu Nguyen, Viet Huy Nguyen, Thanh Trung Huynh, Thanh Hung Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, “A Lightweight and Efficient GA-based Model-Agnostic Feature Selection Scheme for Time Series Forecasting”, 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS), 2022.
  13. Kien Nguyen, Phi Le Nguyen, Hiroo Sekiya, “A Host-based Investigation of IPv6 in Academia: The Cases of Japan and Vietnam”, IEEE CCNC 2022.
  14. Hieu Dinh, Nang Hung Nguyen, Trung Thanh Nguyen,Thanh Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen, “Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks”, WCNC 2022.
  15. Tuan Anh Nguyen Dinh, Anh Duy Nguyen, Truong Thao Nguyen, Thanh Hung Nguyen, Phi Le Nguyen, “Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring”, WCNC 2022.

2021

  1. Thanh Thi-Hien Duong, Manh Nguyen Huu, Thi-Hai Nghiem, Thi-Lan Le, Phi Le Nguyen, Quoc-Cuong Nguyen, “Visual-guided audio source separation: an empirical study”, MAPR 2021 .
  2. Trung Thanh Nguyen, Truong Thao Nguyen, Tuan Anh Nguyen Dinh, Thanh-Hung Nguyen, Phi Le Nguyen, “Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems”, IPCCC 2021.
  3. Thanh Le-Cong, Xuan Bach Le D., Phi Le Nguyen and Quyet Thang Huynh, “Usability and Aesthetics: Better Together for Automated Repair of Web Pages”, ISSRE 2021.
  4. Viet An Nguyen, Viet Hung , Van Sang Doan, Thanh Hung Nguyen, Phan Thuan Do, Kien Nguyen, Phi Le Nguyen, Minh Thuy Le, “Realizing Mobile Air Quality Monitoring System: Architectural Concept and Device Prototype”, Asia Pacific Conference on Communications (APCC 2021).
  5. Thanh T. H. Duong, Phi Le Nguyen, Hong-Son Nguyen, Duc-Chien Nguyen, Huy Phan, Ngoc Q. K. Duong, “Speaker count: a new building block for speaker diarization”, APSIPA 2021.
  6. Nang Hung Nguyen, Phi Le Nguyen, Hieu Dinh, Thanh Hung Nguyen, Kien Nguyen, “Multi-Agent Multi-Armed Bandit Learning for Offloading Delay Minimization in V2X Networks”, IThe 19th IEEE international conference on embedded and ubiquitous computing (EUC 2021).
  7. Do Bao Son, Vu Tri An, Trinh Thu Hai, Binh Minh Nguyen, Phi Le Nguyen, Huynh Thi Thanh Binh, “Fuzzy Deep Q-learning Task Offloading in Delay Constrained Vehicular Fog Computing”, International Joint Conference on Neural Network, IJCNN 2021.
  8. Tran Bao Hieu, Hoang Duc Viet, Nguyen Manh Hiep, Pham Ngoc Bao Anh, Nguyen Duc Anh, Hoang Gia Bao, Hai-Phong Bui, Thanh Hung Nguyen, Phi Le Nguyen, Thi-Lan Le, “MC-OCR Challenge 2021: A Multi-modal Approach for Mobile-Captured Vietnamese Receipts Recognition”, The 15th IEEE-RIVF International Conference on Computing and Communication Technologies, RIVF 2021.
  9. Anh Duy Nguyen, Viet Hung Vu, Minh Hieu Nguyen, Duc Viet Hoang, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen, “Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-based Denoising”, The 34th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems IEA/AIE 2021.
  10. Van An Le, Tien Thanh Le, Phi Le Nguyen, Huynh Thi Thanh Binh, Rajendra Akerkar, Yusheng Ji, “GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network”, IEEE International Conference on Communications (ICC2021), Virtual / Montreal.
  11. Van An Le, Tien Thanh Le, Phi Le Nguyen, Huynh Thi Thanh Binh, Yusheng Ji, “Multi-time-step Segment Routing based Traffic Engineering Leveraging Traffic Prediction”, IFIP/IEEE International Symposium on Integrated Network Management (IM2021), Bordeaux, France.

2020

  1. Le Hoai Anh, Chu Manh Hai, Nguyen Phu Truong, Thanh-Hung Nguyen, Phi Le Nguyen, “Optimal Deployment of Vehicular Mobile Air Quality Monitoring Systems”, NICS, 2020.
  2. Viet Dung Nguyen, Phi Le Nguyen, Trung Hieu Nguyen, Kien Nguyen, Phan Thuan Do, “An (e-1)/(2e-1)-Approximation Algorithm for Maximizing the Coverage Capability in Vehicle-based Mobile Air Quality Monitoring Systems”, The 19th IEEE International Symposium on Network Computing and Applications (NCA 2020), 24-27 November 2020.
  3. La Van Quan, Phi Le Nguyen, Thanh-Hung Nguyen, Kien Nguyen, “Q-learning-based, Optimized On-demand Charging Algorithm in WRSN”, The 19th IEEE International Symposium on Network Computing and Applications (NCA 2020), 24-27 November 2020, Virtual conference.
  4. Bao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen, Duc Anh Le, Thanh Hung Nguyen, Phi Le Nguyen, “SAFL: A Self-Attention Scene Text Recognizer with Focal Loss”, 19th IEEE International Conference On Machine Learning And Applications (ICMLA 2020), December 14-17, 2020, MIAMI, FLORIDA.
  5. Phi Le Nguyen, Ren-Hung Hwang, Pham Minh Khiem, Kien Nguyen, Ying-Dar Lin, “Modeling and Minimizing Latency in Three-tier V2X Networks”, The 2020 IEEE Global Communications Conference (IEEE GLOBECOM), 8–10 December 2020, Taipei, Taiwan.
  6. Viet-Dung Nguyen, Phi Le Nguyen, Trung Hieu Nguyen, Phan Thuan Do, “A 1/2-Approximation Algorithm for Target Coverage Problem in Mobile Air Quality Monitoring Systems”, The 2020 IEEE Global Communications Conference (IEEE GLOBECOM), 8–10 December 2020, Taipei, Taiwan.
  7. Manh Hung Dinh, Ngoc Thach Hoang, Mai Phuong Nguyen, Phi Le Nguyen, Phan Thuan Do, “Node Deployment Optimization for Target Coverage and Connectivity in WSNs with a Delay-constrained Mobile Sink”, ICCE 2020.
  8. Huong Tran, Thi Thanh Binh Huynh, Phi Le Nguyen, Cao Thanh Long Doan, Dinh An Vuong and Trong Vinh Le, “Optimizing Charging Locations and Charging Time for Energy Depletion Avoidance in WRSNs”, the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020), 19 – 24th July, 2020, Glasgow (UK).
  9. Huynh Thi Thanh Binh, Phi Le Nguyen, Nguyen Binh Minh, Trinh Thu Hai, Ngo Quang Minh, Do Bao Son, “A Reinforcement Learning Algorithm for Resource Provisioning in Mobile Edge Computing Network”, The International Joint Conference on Neural Networks (IJCNN 2020), 19 – 24th July, 2020, Glasgow (UK).
  10. Tran Thi Huong, Phi Le Nguyen, Huynh Thi Thanh Binh, Kien Nguyen, Ngo Minh Hai, Le Trong Vinh, “Genetic Algorithm-based Periodic Charging Scheme for Energy Depletion Avoidance in WRSNs”, IEEE Wireless Communications and Networking Conference (WCNC 2020), 25-28 May 2020 // Virtual Conference.
  11. La Van Quan, Thanh Hung Nguyen, Phi Le Nguyen, “Extending Network Lifetime by Exploiting Wireless Charging in WSN”, RIVF 2020.

2019

  1. Phi Le Nguyen, Thanh Hung Nguyen, Kien Nguyen, “A Dynamic Routing Protocol for Maximizing Network Lifetime in WSNs with Holes”, SoICT 2019.
  2. Khanh Le, Nguyen Thanh Hung, Kien Nguyen, Phi Le Nguyen, “Exploiting Q-learning in Extending the Network Lifetime of Wireless Sensor Networks with Holes”, 25th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2019, Tianjin, China, 2019.
  3. Nguyen Thanh Trung, Nguyen Thanh Hung, Phi Le Nguyen, “Network Lifetime Maximization for Full Area Coverage in Wireless Sensor Networks”, The 25th Asia-Pacific Conference on Communications (APCC), 2019.
  4. Quyet-Thang Huynh, Dinh-Dien Tran, Thi-Mai-Anh Bui, Phi Le Nguyen, “Development of Rules and Algorithms for Model-Driven Code Generator with UWE Approach”, SoMeT 2019.
  5. Huynh Quyet Thang, Dinh-Dien Tran, Duc-Man Nguyen, Nhu-Hang Ha, Thi-Mai-Anh Bui, Phi Le Nguyen, “Generating Test Data for Blackbox Testing from UML-Based Web Engineering Content and Presentation Models”, INISCOM 2019.
  6. Van An Le, Phi Le Nguyen, Yusheng Ji, “Deep Convolutional LSTM Network-based Traffic Matrix Prediction with Partial Information”, IFIP/IEEE IM 2019, Washington, USA.

2018

  1. Phi Le Nguyen, Yusheng Ji, Khanh Le, Thanh-Hung Nguyen, “Routing in the Vicinity of Multiple Holes in WSNs”, ICT-DM 2018, Sendai, Japan. (best student paper award).
  2. Nguyen Thi Hanh, Phi Le Nguyen, Phan Thanh Tuyen, Huynh Thi Thanh Binh, Ernest Kurniawan, Yusheng Ji, “Node Placement for Target Coverage and Network Connectivity in WSNs with Multiple Sinks”, the 15th Annual IEEE Consumer Communications & Networking Conference, IEEE CCNC 2018, Las Vegas, USA.
  3. Phi Le Nguyen, Yusheng Ji, Khanh Le, Thanh-Hung Nguyen, ”Load Balanced and Constant Stretch Routing in the Vicinity of Holes in WSNs”, the 15th Annual IEEE Consumer Communications & Networking Conference, IEEE CCNC 2018, Las Vegas, USA.

2017

  1. Phi Le Nguyen, Yusheng Ji, Trung Thanh Nguyen, Thanh-Hung Nguyen, “Constant Stretch and Load Balanced Routing Protocol for Bypassing Multiple Holes in Wireless Sensor Networks”, The 16th IEEE International Symposium on Network Computing and Applications (NCA 2017), Boston, USA.
  2. Phi Le Nguyen, Yusheng Ji, Thanh Trung Nguyen, Thanh-Hung Nguyen, “A Delay-Guaranteed Geographic Routing Protocol with Hole Avoidance in WSNs”, the 14th IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS) will be held in Orlando, Florida, USA, on October 22-25, 2017, Florida, USA.

2016

  1. Phi Le Nguyen, Khanh Van Nguyen, Huy Vu, Yusheng Ji, “A Time and Energy Efficient Protocol for Locating Coverage Holes in WSNs”, the 41st IEEE Conference on Local Computer Networks (LCN’16), Dubai.