Nguyen Hoang Tran

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Reinforcement Learning

Grassmann Manifold

Resource Allocation

Top Venues

IEEE Trans. Parallel Distributed Syst.

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Veh. Technol.

Publications

Canh T. Dinh, Tung Thanh Vu, Nguyen Hoang Tran, Minh N. Dao, Hongyu Zhang
A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Long Tan Le, Han Shu, Tung-Anh Nguyen, Choong Seon Hong, Nguyen Hoang Tran
iREPO: implicit Reward Pairwise Difference based Empirical Preference Optimization. CoRR (2024)
Tung-Anh Nguyen, Long Tan Le, Tuan Dung Nguyen, Wei Bao, Suranga Seneviratne, Choong Seon Hong, Nguyen Hoang Tran
Federated PCA on Grassmann Manifold for IoT Anomaly Detection. CoRR (2024)
Minh N. H. Nguyen, Shashi Raj Pandey, Nguyen Dang Tri, Eui-Nam Huh, Nguyen Hoang Tran, Walid Saad, Choong Seon Hong
Self-Organizing Democratized Learning: Toward Large-Scale Distributed Learning Systems. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Nguyen Phan, Ta Duc Huy, Soan Thi Minh Duong, Nguyen Hoang Tran, Sam Tran, Dao Huu Hung, Chanh D. Tr. Nguyen, Trung H. Bui, Steven Q. H. Truong
Logovit: Local-Global Vision Transformer for Object Re-Identification. ICASSP (2023)
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Nguyen Lu Dang Khoa
CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation. World Wide Web (WWW) 26 (2) (2023)
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Abdulwahab Aljubairy, Munazza Zaib, Salma Abdalla Hamad, Nguyen Hoang Tran, Nguyen Lu Dang Khoa
HeteGraph: graph learning in recommender systems via graph convolutional networks. Neural Comput. Appl. 35 (18) (2023)
Phuong Luu Vo, Nghia T. Nguyen, Long Luu, Canh T. Dinh, Nguyen Hoang Tran, Tuan-Anh Le
Federated Deep Reinforcement Learning - Based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP. ACIIDS (Companion) (2023)
Long Tan Le, Tuan Dung Nguyen, Tung-Anh Nguyen, Choong Seon Hong, Nguyen Hoang Tran
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency. CoRR (2023)
Minh N. H. Nguyen, Nguyen Hoang Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks. IEEE Trans. Mob. Comput. 22 (1) (2023)
Tran Dinh Tien, Anh Tuan Nguyen, Nguyen Hoang Tran, Ta Duc Huy, Soan Thi Minh Duong, Chanh D. Tr. Nguyen, Steven Q. H. Truong
Revisiting Reverse Distillation for Anomaly Detection. CVPR (2023)
Phuong Luu Vo, Nghia T. Nguyen, Long Luu, Canh T. Dinh, Nguyen Hoang Tran, Tuan-Anh Le
Federated Deep Reinforcement Learning-based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP. CoRR (2023)
Chit Wutyee Zaw, Nguyen Hoang Tran, Zhu Han, Choong Seon Hong
Radio and Computing Resource Allocation in Co-Located Edge Computing: A Generalized Nash Equilibrium Model. IEEE Trans. Mob. Comput. 22 (4) (2023)
Sheikh Salman Hassan, DoHyeon Kim, Yan Kyaw Tun, Nguyen Hoang Tran, Walid Saad, Choong Seon Hong
Seamless and Energy-Efficient Maritime Coverage in Coordinated 6G Space-Air-Sea Non-Terrestrial Networks. IEEE Internet Things J. 10 (6, March 15) (2023)
Tung-Anh Nguyen, Jiayu He, Long Tan Le, Wei Bao, Nguyen Hoang Tran
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks. INFOCOM (2023)
Jiayu He, Matloob Khushi, Tung-Anh Nguyen, Nguyen Hoang Tran
Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum Analysis. ICDM (2023)
Sadman Araf, Adittya Soukarjya Saha, Sadia Hamid Kazi, Nguyen Hoang Tran, Md. Golam Rabiul Alam
UAV Assisted Cooperative Caching on Network Edge Using Multi-Agent Actor-Critic Reinforcement Learning. IEEE Trans. Veh. Technol. 72 (2) (2023)
Jiayu He, Nguyen Hoang Tran, Matloob Khushi
Stock Predictor with Graph Laplacian-Based Multi-task Learning. ICCS (1) (2022)
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Nguyen Lu Dang Khoa, Nguyen Hoang Tran
Deep Conversational Recommender Systems: Challenges and Opportunities. Computer 55 (4) (2022)
Yanru Zhang, Chunxiao Jiang, Nguyen Hoang Tran, Shengrong Bu, Fei Richard Yu, Zhu Han
Insurance Plan for Service Assurance in Cloud Computing Market with Incomplete Information. J. Commun. Inf. Networks 7 (1) (2022)
Hongliang Zhang, Zhu Han, George C. Alexandropoulos, Nguyen Hoang Tran
Special issue on aerial access networks for 6G. J. Commun. Networks 24 (2) (2022)
Tung-Anh Nguyen, Tuan Dung Nguyen, Long Tan Le, Canh T. Dinh, Nguyen Hoang Tran
On the Generalization of Wasserstein Robust Federated Learning. CoRR (2022)
Tung-Anh Nguyen, Jiayu He, Long Tan Le, Wei Bao, Nguyen Hoang Tran
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks. CoRR (2022)
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef, Bing Bing Zhou, Albert Y. Zomaya
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Nguyen Hoang Tran, Ta Duc Huy, Soan T. M. Duong, Nguyen Phan, Dao Huu Hung, Chanh D. Tr. Nguyen, Trung H. Bui, Steven Quoc Hung Truong
Improving Local Features with Relevant Spatial Information by Vision Transformer for Crowd Counting. BMVC (2022)
Chuan Pham, Duong Tuan Nguyen, Nguyen Hoang Tran, Kim Khoa Nguyen, Mohamed Cheriet
Dynamic Controller/Switch Mapping: A Service Oriented Assignment Approach. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Liming Ge, Zizhao Wang, Wei Bao, Dong Yuan, Nguyen Hoang Tran, Bing Bing Zhou, Albert Y. Zomaya
Semi-Online Multi-Machine with Restart Scheduling for Integrated Edge and Cloud Computing Systems. ICPP (2022)
Zhengjie Yang, Wei Bao, Dong Yuan, Nguyen Hoang Tran, Albert Y. Zomaya
Federated Learning With Nesterov Accelerated Gradient. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Sarder Fakhrul Abedin, Aamir Mahmood, Nguyen Hoang Tran, Zhu Han, Mikael Gidlund
Elastic O-RAN Slicing for Industrial Monitoring and Control: A Distributed Matching Game and Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 71 (10) (2022)
Tung Thanh Vu, Duy Trong Ngo, Hien Quoc Ngo, Minh Ngoc Dao, Nguyen Hoang Tran, Richard H. Middleton
Joint Resource Allocation to Minimize Execution Time of Federated Learning in Cell-Free Massive MIMO. IEEE Internet Things J. 9 (21) (2022)
Quoc-Viet Pham, Nadia Iradukunda, Nguyen Hoang Tran, Won-Joo Hwang, Sang-Hwa Chung
Joint Placement, Power Control, and Spectrum Allocation for UAV Wireless Backhaul Networks. IEEE Netw. Lett. 3 (2) (2021)
Dai Hoang Tran, Zawar Hussain, Wei Zhang, Khoa L. D. Nguyen, Nguyen Hoang Tran, Quan Z. Sheng
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis. ACIS (2018)