Truong Thao Nguyen

58 papers A* 3A 6B 11C 2Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship. CoRR Nang Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen, Trong Nghia Hoang, Masashi Sugiyama
2026	J	`jnl`	Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship. Trans. Mach. Learn. Res. Nang Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen, Trong Nghia Hoang, Masashi Sugiyama
2026	J	`jnl`	Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Calibration. CoRR Manh Cuong Dao, Quang Hung Pham, Phi Le Nguyen, Truong Thao Nguyen, Bryan Kian Hsiang Low, Trong Nghia Hoang
2026	J	`jnl`	FLaTEC: An efficient federated learning scheme across the Thing-Edge-Cloud environment. Future Gener. Comput. Syst. Van An Le, Jason Haga, Yusuke Tanimura, Truong Thao Nguyen
2026	J	`jnl`	Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction between Feature Alignment and Target Fitting. CoRR Trong Khiem Tran, Manh Cuong Dao, Phi Le Nguyen, Truong Thao Nguyen, Trong Nghia Hoang
2025	J	`jnl`	Boosting Offline Optimizers with Surrogate Sensitivity. CoRR Manh Cuong Dao, Phi Le Nguyen, Truong Thao Nguyen, Trong Nghia Hoang
2025	A	`conf`	CT to PET Translation: A Large-Scale Dataset and Domain-Knowledge-Guided Diffusion Approach. WACV Dac Thai Nguyen, Trung Thanh Nguyen, Huu Tien Nguyen, Thanh Trung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen
2025	J	`jnl`	Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques. CoRR Manh Cuong Dao, Phi Le Nguyen, Truong Thao Nguyen, Trong Nghia Hoang
2025	J	`jnl`	Noisy data-based attack: A new type of untargeted attack in Federated Learning and its countermeasures. Future Gener. Comput. Syst. Manh Cuong Dao, Phi Le Nguyen, Hieu H. Pham, Thanh Hung Nguyen, Peng Chen, Mohamed Wahib, Truong Thao Nguyen
2025	J	`jnl`	ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge. CoRR Manh Cuong Dao, The Hung Tran, Phi Le Nguyen, Truong Thao Nguyen, Trong Nghia Hoang
2025	J	`jnl`	SAFA: Handling Sparse and Scarce Data in Federated Learning With Accumulative Learning. IEEE Trans. Computers Nang Hung Nguyen, Truong Thao Nguyen, Trong Nghia Hoang, Hieu H. Pham, Thanh Hung Nguyen, Phi Le Nguyen
2024	B	`conf`	A Bandwidth-Optimal All-to-All Communication in Two-Dimensional Fully Connected Network. CCGrid Kien Trung Pham, Truong Thao Nguyen, Michihiro Koibuchi
2024	J	`jnl`	A data-driven approach for high accurate spatiotemporal precipitation estimation. Neural Comput. Appl. Pham Minh Khiem, Phi Le Nguyen, Viet Hung Vu, Truong Thao Nguyen, Hoa Vo-Van, Thanh Ngo-Duc
2024	A*	`conf`	Boosting Offline Optimizers with Surrogate Sensitivity. ICML Manh Cuong Dao, Phi Le Nguyen, Truong Thao Nguyen, Trong Nghia Hoang
2024	J	`jnl`	CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach. CoRR Dac Thai Nguyen, Trung Thanh Nguyen, Huu Tien Nguyen, Thanh Trung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen
2024	—	`conf`	Combating Quality Distortion in Federated Learning with Collaborative Data Selection. PAKDD (3) Duc Long Nguyen, Phi Le Nguyen, Truong Thao Nguyen
2024	A	`conf`	Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting. IPDPS Van An Le, Nam Duong Tran, Phuong Nam Nguyen, Thanh Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen, Yusheng Ji
2024	B	`conf`	FedCert: Federated Accuracy Certification. NCA Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen, Manh Duong Nguyen, Trong Nghia Hoang, Truong Thao Nguyen, Phi Le Nguyen
2024	J	`jnl`	FedCert: Federated Accuracy Certification. CoRR Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen, Manh Duong Nguyen, Trong Nghia Hoang, Truong Thao Nguyen, Phi Le Nguyen
2024	J	`jnl`	FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training. IEEE Trans. Netw. Serv. Manag. Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do
2024	J	`jnl`	Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing. CoRR Trung Thanh Nguyen, Truong Thao Nguyen, Thanh Hung Nguyen, Phi Le Nguyen
2024	A*	`conf`	Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques. NeurIPS Cuong Dao, Phi Le Nguyen, Truong Thao Nguyen, Nghia Hoang
2024	J	`jnl`	Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems. CoRR Trung Thanh Nguyen, Truong Thao Nguyen, Tuan Anh Nguyen Dinh, Thanh Hung Nguyen, Phi Le Nguyen
2024	B	`conf`	SFETEC: Split-FEderated Learning Scheme Optimized for Thing-Edge-Cloud Environment. e-Science Van An Le, Jason Haga, Yusuke Tanimura, Truong Thao Nguyen
2023	B	`conf`	CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization. CCGrid Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen
2023	J	`jnl`	CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization. CoRR Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen
2023	J	`jnl`	Effective switchless inter-FPGA memory networks. J. Parallel Distributed Comput. Truong Thao Nguyen, Kien Trung Pham, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi
2023	B	`conf`	FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. IJCNN Thuy Dung Nguyen, Anh Duy Nguyen, Thanh-Hung Nguyen, Kok-Seng Wong, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen
2023	J	`jnl`	FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. CoRR Thuy Dung Nguyen, Anh Duy Nguyen, Kok-Seng Wong, Huy Hieu Pham, Thanh Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen
2023	J	`jnl`	High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion. CoRR Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen
2023	A*	`conf`	KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. NeurIPS Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib
2023	J	`jnl`	KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. CoRR Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib
2023	—	`conf`	SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning. candar Quang-Ha Pham, Nang Hung Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Phi Le Nguyen, Truong Thao Nguyen
2023	J	`jnl`	Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. Huaipeng Zhang, Nhut-Minh Ho, Dogukan Yigit Polat, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, Weng-Fai Wong
2022	B	`conf`	Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs. PIMRC Hung Cuong Nguyen, Manh Cuong Dao, Thanh Trung Nguyen, Ngoc Khanh Doan, Thanh Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen
2022	B	`conf`	Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks. WCNC Hieu Dinh, Nang Hung Nguyen, Trung Thanh Nguyen, Thanh-Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen
2022	J	`jnl`	FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training. CoRR Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do
2022	B	`conf`	FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning. ICPP Nang Hung Nguyen, Phi Le Nguyen, Thuy Dung Nguyen, Trung Thanh Nguyen, Duc Long Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Truong Thao Nguyen
2022	J	`jnl`	FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning. CoRR Nang Hung Nguyen, Phi Le Nguyen, Duc Long Nguyen, Trung Thanh Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Truong Thao Nguyen
2022	J	`jnl`	Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing. IEEE Trans. Netw. Serv. Manag. Trung Thanh Nguyen, Truong Thao Nguyen, Thanh-Hung Nguyen, Phi Le Nguyen
2022	A	`conf`	Scalable Low-Latency Inter-FPGA Networks. IPDPS Kien Trung Pham, Truong Thao Nguyen, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi
2022	B	`conf`	Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring. WCNC Tuan Anh Nguyen Dinh, Anh Duy Nguyen, Truong Thao Nguyen, Thanh-Hung Nguyen, Phi Le Nguyen
2022	A	`conf`	Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning. IPDPS Truong Thao Nguyen, François Trahay, Jens Domke, Aleksandr Drozd, Emil Vatai, Jianwei Liao, Mohamed Wahib, Balazs Gerofi
2021	B	`conf`	An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning. CCGRID Truong Thao Nguyen, Mohamed Wahib
2021	A	`conf`	An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. HPDC Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib
2021	J	`jnl`	An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. CoRR Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib
2021	J	`jnl`	Efficient MPI-AllReduce for large-scale deep learning on GPU-clusters. Concurr. Comput. Pract. Exp. Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
2021	J	`jnl`	Hybrid Electrical/Optical Switch Architectures for Training Distributed Deep Learning in Large-Scale. IEICE Trans. Inf. Syst. Truong Thao Nguyen, Ryousei Takano
2021	C	`conf`	Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems. IPCCC Trung Thanh Nguyen, Truong Thao Nguyen, Tuan Anh Nguyen Dinh, Thanh-Hung Nguyen, Phi Le Nguyen
2020	J	`jnl`	Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA. CoRR Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
2020	A	`conf`	Scaling distributed deep learning workloads beyond the memory capacity with KARMA. SC Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
2019	—	`conf`	On the Feasibility of Hybrid Electrical/Optical Switch Architecture for Large-Scale Training of Distributed Deep Learning. PHOTONICS@SC Truong Thao Nguyen, Ryousei Takano
2019	C	`conf`	Topology-aware Sparse Allreduce for Large-scale Deep Learning. IPCCC Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
2018	—	`—`	Cable-Geometric and Moderate Error-Proof Approach for Low-Latency Interconnection Networks. Truong Thao Nguyen
2018	—	`conf`	Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads. CANDAR Workshops Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
2018	B	`conf`	Low-Reliable Low-Latency Networks Optimized for HPC Parallel Applications. NCA Truong Thao Nguyen, Hiroki Matsutani, Michihiro Koibuchi
2016	—	`conf`	A diagonal cabling approach to data center and HPC systems. SoICT Truong Thao Nguyen, Ikki Fujiwara, Michihiro Koibuchi
2016	J	`jnl`	Layout-Conscious Expandable Topology for Low-Degree Interconnection Networks. IEICE Trans. Inf. Syst. Truong Thao Nguyen, Khanh-Van Nguyen, Ikki Fujiwara, Michihiro Koibuchi